Academic literature on the topic 'Internet Things Web Middleware Cloud Computing'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Internet Things Web Middleware Cloud Computing.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Internet Things Web Middleware Cloud Computing"
1
Cieplak, Tomasz, and Piotr Muryjas. "Introduction to Basic Integration of Measurement Devices with Cloud Computing Services." Applied Mechanics and Materials 791 (September 2015): 34–41. http://dx.doi.org/10.4028/www.scientific.net/amm.791.34.
Full textAbstract:
This paper presents generic concept of using measuring devices of using cloud-based services as a basic application of the Internet of Things (IoT) model. This type of applications will become a base of future of the Web of Things paradigm. A high level of operational infrastructure is outlined and corresponding technologies are illustrated. To demonstrate the data provision, a cloud-based solution is described along with details of its design and operation. A number of technology, including communication protocols, transportation protocols and middleware are depicted as a basic introduction of implementation of future WoT solutions.
2
Pastor-Vargas, Rafael, Llanos Tobarra, Antonio Robles-Gómez, Sergio Martin, Roberto Hernández, and Jesús Cano. "A WoT Platform for Supporting Full-Cycle IoT Solutions from Edge to Cloud Infrastructures: A Practical Case." Sensors 20, no. 13 (July 5, 2020): 3770. http://dx.doi.org/10.3390/s20133770.
Full textAbstract:
Internet of Things (IoT) learning involves the acquisition of transversal skills ranging from the development based on IoT devices and sensors (edge computing) to the connection of the devices themselves to management environments that allow the storage and processing (cloud computing) of data generated by sensors. The usual development cycle for IoT applications consists of the following three stages: stage 1 corresponds to the description of the devices and basic interaction with sensors. In stage 2, data acquired by the devices/sensors are employed by communication models from the origin edge to the management middleware in the cloud. Finally, stage 3 focuses on processing and presentation models. These models present the most relevant indicators for IoT devices and sensors. Students must acquire all the necessary skills and abilities to understand and develop these types of applications, so lecturers need an infrastructure to enable the learning of development of full IoT applications. A Web of Things (WoT) platform named Labs of Things at UNED (LoT@UNED) has been used for this goal. This paper shows the fundamentals and features of this infrastructure, and how the different phases of the full development cycle of solutions in IoT environments are implemented using LoT@UNED. The proposed system has been tested in several computer science subjects. Students can perform remote experimentation with a collaborative WoT learning environment in the cloud, including the possibility to analyze the generated data by IoT sensors.
3
Al-Joboury, Istabraq M., and Emad H. Hemiary. "Internet of Things Architecture Based Cloud for Healthcare." Iraqi Journal of Information & Communications Technology 1, no. 1 (May 14, 2018): 18–26. http://dx.doi.org/10.31987/ijict.1.1.7.
Full textAbstract:
The Internet of Things (IoT) contains smart devices placed in different environments, connected with each other across networks and Internet. The integration between Things and Cloud Computing (CC) for monitoring and permanent storage is required for future IoT applications. Therefore, this paper proposes IoT architecture based Cloud for healthcare network when patients are remotely monitored by their family and physicians. This proposed architecture is different from the traditional IoT architecture that consists of Things, getaways, middleware, and application layers which in turn need connectivity insurance between them. The proposed architecture is designed and configured using Cisco Packet Tracer version 7.0 over two sites: Site 'A' located at smart home and site 'B' located at the smart hospital. The results show that the IoT based Cloud enhances the patient life style by using smart sensors and mobile application, as well as the physicians can remotely monitor the data in real time.
4
Blair, Gordon, Douglas Schmidt, and Chantal Taconet. "Middleware for Internet distribution in the context of cloud computing and the Internet of Things." Annals of Telecommunications 71, no. 3-4 (February 26, 2016): 87–92. http://dx.doi.org/10.1007/s12243-016-0493-z.
Full text
5
Touseau, Lionel, and Nicolas Sommer. "Contribution of the Web of Things and of the Opportunistic Computing to the Smart Agriculture: A Practical Experiment." Future Internet 11, no. 2 (February 1, 2019): 33. http://dx.doi.org/10.3390/fi11020033.
Full textAbstract:
With the emergence of the Internet of Things, environmental sensing has been gaining interest, promising to improve agricultural practices by facilitating decision-making based on gathered environmental data (i.e., weather forecasting, crop monitoring, and soil moisture sensing). Environmental sensing, and by extension what is referred to as precision or smart agriculture, pose new challenges, especially regarding the collection of environmental data in the presence of connectivity disruptions, their gathering, and their exploitation by end-users or by systems that must perform actions according to the values of those collected data. In this paper, we present a middleware platform for the Internet of Things that implements disruption tolerant opportunistic networking and computing techniques, and that makes it possible to expose and manage physical objects through Web-based protocols, standards and technologies, thus providing interoperability between objects and creating a Web of Things (WoT). This WoT-based opportunistic computing approach is backed up by a practical experiment whose outcomes are presented in this article.
6
Bangui, Hind, Said Rakrak, Said Raghay, and Barbora Buhnova. "Moving towards Smart Cities: A Selection of Middleware for Fog-to-Cloud Services." Applied Sciences 8, no. 11 (November 11, 2018): 2220. http://dx.doi.org/10.3390/app8112220.
Full textAbstract:
Smart cities aim at integrating various IoT (Internet of Things) technologies by providing many opportunities for the development, governance, and management of user services. One of the ways to support this idea is to use cloud and edge computing techniques to reduce costs, manage resource consumption, enhance performance, and connect the IoT devices more effectively. However, the selection of services remains a significant research question since there are currently different strategies towards cloud computing, including services for central remote computing (traditional cloud model) as well as distributed local computing (edge computing). In this paper, we offer an integrated view of these two directions and the selection among the edge technologies based on MCDA (Multiple Criteria Decision Analysis) algorithms. To this end, we propose a foglet as a middleware that aims at achieving satisfactory levels of customer services by using fuzzy similarity and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) to facilitate the rating and selection of services in the fog-to-cloud environment. Then, we describe the selection process with a numerical example, and conclude our work with an outline of future perspectives.
7
Parwate, Abhijeet K. "IOT Home Automation over the Cloud." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 25, 2021): 2683–86. http://dx.doi.org/10.22214/ijraset.2021.35443.
Full textAbstract:
Home automations give full management and versatile watching of home appliances for exaggerated comfort, economical energy use, prices saving, improved safety and security, and have driven the event of assorted sensible homes technologies. This paper presents the implementation of a home automation system utilizing the web of Things (iot) technology. This work tackles the issues of quality and incompatible standards inherent within the existing home automation solutions employing a strong distributed computing approach. During this project mobile phones, computer & web as device application for the appliances. Still as GAS outflow monitor on web. That is employed in any general automation via web. Todays in Republic of India ninety four population used smartphone, computer and web. Therefore here used web OF THINGS idea that physical hardware devices connected to the web and obtaining knowledge on web additionally management appliances from internet. This method will use any application for dominant and watching from or to web.
8
Valeti, Nagarjuna, and V. Ceronmani Sharmila. "Fault Detection based Connected Dominating Set (FDCDS) in Fog Computing." Webology 17, no. 2 (December 21, 2020): 599–606. http://dx.doi.org/10.14704/web/v17i2/web17054.
Full textAbstract:
The meaning of cloud computing is providing services by using the internet. From the Cloud Data Centres (CDC) the services are utilized by the cloud users. Presently (Internet of things) IOT playing the key role to improve the performance of the fog computing enabled applications. Migrating the wireless sensor networks with IOT becomes the most powerful and error free application based on the availability of the services, cloud storage, computation and these are transferred efficiently between server and cloud. Health domain is most widely affecting system in cloud computing as well as by using fog computing with IOT. The system causes various failures for providing the service continuously. Enabling the fog computing with the integration of cloud for the medical devices to transmit the patient information to the cloud storage has become the complicated for the IOT sensors continuously. This may cause the data loss and also reduce the performance of the medical device. To improve the continuous services within the cloud server. In this paper, the Fault detection based Connected Dominating Set (FDCDS) which provides the continuous services with the integration of fog computing and IOT devices with wireless sensor networks. Simulation shows the performance of the proposed system.
9
Gomes, Berto de Tácio Pereira, Luiz Carlos Melo Muniz, Francisco José da Silva e Silva, Luis Eduardo Talavera Ríos, and Markus Endler. "A comprehensive and scalable middleware for Ambient Assisted Living based on cloud computing and Internet of Things." Concurrency and Computation: Practice and Experience 29, no. 11 (December 8, 2016): e4043. http://dx.doi.org/10.1002/cpe.4043.
Full text
10
Krakowiak, Marlena, and Teresa Bajor. "Cloud Computing as a Prospect for the Sector of Small – and Medium-Size Companies in the Polish Market." New Trends in Production Engineering 2, no. 2 (December 1, 2019): 103–13. http://dx.doi.org/10.2478/ntpe-2019-0076.
Full textAbstract:
Abstract Efficient functioning in the contemporary market is a fundamental need of every organization. In times of globalization and an intensive technological and engineering progress, attaining a proper position and retaining it is a big challenge in almost every branch of industry. This is especially difficult for the SME sector, as it requires financial expenditures on system solutions and the IT base, among other things. This is where “Cloud Computing” comes in. Cloud computing services consist in providing and making available IT resources (efficient, scalable and tailored to the customer’s needs) through the Web. Thanks to wide access to intensively developing mobile systems, the low costs of computer components and the associated increasingly common use of Internet of Things (IoT) in numerous devices connected to the Internet, data processing is being gradually moved onto the Web peripheries. The purpose of the study is to highlight advantages and possible threats associated with the use of Cloud Computing-based solutions for aiding the activity of enterprises at a varying organizational level following the 4th industrial revolution.
Dissertations / Theses on the topic "Internet Things Web Middleware Cloud Computing"
1
Borrillo, Mattia. "Internet of things e integrazione nel web: Web of things." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9229/.
Full textAbstract:
Internet of Things (IoT): tre parole che sintetizzano al meglio come la tecnologia abbia pervaso quasi ogni ambito della nostra vita. In questa tesi andrò a esplorare le soluzioni hardware e soprattutto software che si celano dietro allo sviluppo di questa nuova frontiera tecnologica, dalla cui combinazione con il web nasce il Web of Things, ovvero una visione globale, accessibile da qualsiasi utente attraverso i comuni mezzi di navigazione, dei servizi che ogni singolo smart device può offrire. Sarà seguito un percorso bottom-up partendo dalla descrizione fisica dei device e delle tecnologie abilitanti alla comunicazione thing to thing ed i protocolli che instaurano fra i device le connessioni. Proseguendo per l’introduzione di concetti quali middleware e smart gateway, sarà illustrata l’integrazione nel web 2.0 di tali device menzionando durante il percorso quali saranno gli scenari applicativi e le prospettive di sviluppo auspicabili.
2
Ghiselli, Nicola. "Edge-to-Cloud Service Migration in Constrained Internet of Things Scenarios." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.
Find full textAbstract:
In this thesis we will treat the Edge-to-Cloud services in the mobile Internet of Things context. Edge-to-Cloud services are services that, up to reach their goals, must run partially on the Cloud and partially on the Edge. This scenario has been chosen for two reasons: it is a very hop-topic nowadays, but these technologies have many treats and weakness to be solved. To refine those problems we considered some Edge-to-Cloud services and so by using some Cloud resources together with other resources, available on the IoT devices. In particular, to use Edge-to-Cloud services, we will move some resources from the Cloud to the device and so, Edge-to-Cloud service can also help the developer to make the deployment of his applications and this is an important feature in the IoT context. In this work our intent will be to make a support system for the developers and for the applications that helps to handle all the application life-cycle, offering a solution that will behave as a Middleware and so that is able to offer some service to the final applications in an almost transparent way. Between al the possible services, we focused our attention in the Migration services and so those services that allow to migrate the requests or application components. To do that we decided to split the applications in components, giving the possibility to the support system on the device to intercept the communication messages between the components. After having intercepted a message, the support system must autonomously take a decision for the application and it must decide if use a Cloud or a local resource to complete the task. Moreover, in most cases, this scenario is a constrained scenario, where the constrain are given by the application requirements. Up to offer a support system that will be more general as possible, we will introduce some user policies, by which the user will give some guidelines to the Edge-to-Cloud support system behavior.
3
Schenfeld, Matheus Crespi. "Fog e edge computing : uma arquitetura h?brida em um ambiente de internet das coisas." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2017. http://tede2.pucrs.br/tede2/handle/tede/7730.
Full textAbstract:
Submitted by Caroline Xavier (caroline.xavier@pucrs.br) on 2017-11-14T10:44:09Z
No. of bitstreams: 1
DIS_MATHEUS_CRESPI_SCHENFELD_COMPLETO.pdf: 6989470 bytes, checksum: 4a16f12e8953d43da2cb18cc63c6119a (MD5)Approved for entry into archive by Caroline Xavier (caroline.xavier@pucrs.br) on 2017-11-14T10:44:28Z (GMT) No. of bitstreams: 1 DIS_MATHEUS_CRESPI_SCHENFELD_COMPLETO.pdf: 6989470 bytes, checksum: 4a16f12e8953d43da2cb18cc63c6119a (MD5)
Made available in DSpace on 2017-11-14T10:44:39Z (GMT). No. of bitstreams: 1 DIS_MATHEUS_CRESPI_SCHENFELD_COMPLETO.pdf: 6989470 bytes, checksum: 4a16f12e8953d43da2cb18cc63c6119a (MD5) Previous issue date: 2017-03-23
Internet of Things (IoT) is considered a computational evolution that advocates the existence of a large number of physical objects embedded with sensors and actuators, connected by wireless networks and communicating through the Internet. From the beginning of the concept to the present day, IoT is widely used in the various sectors of industry and also in academia. One of the needs encountered in these areas was to be connected to IoT devices or subsystems throughout the world. Thus, cloud computing gains space in these scenarios where there is a need to be connected and communicating with a middleware to perform the data processing of the devices. The concept of cloud computing refers to the use of memory, storage and processing of shared resources, interconnected by the Internet. However, IoT applications sensitive to communication latency, such as medical emergency applications, military applications, critical security applications, among others, are not feasible with the use of cloud computing, since for the execution of all calculations and actions messaging between devices and the cloud is required. Solving this limitation found in the use of cloud computing, the concept of fog computing arises and whose main idea is to create a federated processing layer, still in the local network of the computing devices of the ends of the network. In addition to fog computing, there is also edge computing operating directly on the devices layer, performing some kind of processing, even with little computational complexity, in order to further decrease the volume of communication, besides collaborating to provide autonomy in decision making yet in the Things layer. A major challenge for both fog and edge computing within the IoT scenario is the definition of a system architecture that can be used in different application domains, such as health, smart cities and others. This work presents a system architecture for IoT devices capable of enabling data processing in the devices themselves or the closest to them, creating the edge computing layer and fog computing layer that can be applied in different domains, improving Quality of Services (QoS) and autonomy in decision making, even if the devices are temporarily disconnected from the network (offline). The validation of this architecture was done within two application scenarios, one of public lighting in smart city environment and another simulating an intelligent agricultural greenhouse. The main objectives of the tests were to verify if the use of the concepts of edge and fog computing improve system efficiency compared to traditional IoT architectures. The tests revealed satisfactory results, improving connection times, processing and delivery of information to applications, reducing the volume of communication between devices and core middleware, and improving communications security. It also presents a review of related work in both academia and industry.
Internet das Coisas (IoT) ? considerada uma evolu??o computacional que preconiza a exist?ncia de uma grande quantidade de objetos f?sicos embarcados com sensores e atuadores, conectados por redes sem fio e que se comunicam atrav?s da Internet. Desde o surgimento do conceito at? os dias atuais, a IoT ? amplamente utilizada nos diversos setores da ind?stria e tamb?m no meio acad?mico. Uma das necessidades encontradas nessas ?reas foi a de estar conectado com dispositivos ou subsistemas de IoT espalhados por todo o mundo. Assim, cloud computing ganha espa?o nesses cen?rios, onde existe a necessidade de estar conectado e se comunicando com um middleware para realizar o processamento dos dados dos dispositivos. O conceito de cloud computing refere-se ao uso de mem?ria, armazenamento e processamento de recursos compartilhados, interligados pela Internet. No entanto, aplica??es IoT sens?veis ? lat?ncia de comunica??o, tais como, aplica??es m?dico-emergenciais, aplica??es militares, aplica??es de seguran?a cr?tica, entre outras, s?o invi?veis com o uso de cloud computing, visto que para a execu??o de todos os c?lculos e a??es ? necess?ria a troca de mensagens entre dispositivos e nuvem. Solucionando essa limita??o encontrada na utiliza??o de cloud computing, surge o conceito de fog computing, cuja ideia principal ? criar uma camada federada de processamento ainda na rede local dos dispositivos de computa??o das extremidades da rede. Al?m de fog computing tamb?m surge edge computing operando diretamente na camada dos dispositivos, realizando algum tipo de processamento, mesmo que de pouca complexidade computacional, a fim de diminuir ainda mais o volume de comunica??o, al?m de colaborar para prover autonomia na tomada de decis?es ainda na camada das coisas. Um grande desafio tanto para fog quanto para edge computing dentro do cen?rio de IoT ? a defini??o de uma arquitetura de sistema que possa ser usada em diferentes dom?nios de aplica??o, como sa?de, cidades inteligentes entre outros. Esse trabalho apresenta uma arquitetura de sistema para dispositivos IoT capaz de habilitar o processamento de dados nos pr?prios dispositivos ou o mais pr?ximo deles, criando a camada de edge e fog computing que podem ser aplicadas em diferentes dom?nios, melhorando a Qualidade dos Servi?os (QoS) e autonomia na tomada de decis?o, mesmo se os dispositivos estiverem temporariamente desconectados da rede (offline). A valida??o dessa arquitetura foi feita dentro de dois cen?rios de aplica??o, um de ilumina??o p?blica em ambiente de IoT e outro simulando uma estufa agr?cola inteligente. Os principais objetivos das execu??es dos testes foram verificar se a utiliza??o dos conceitos de edge e fog computing melhoram a efici?ncia do sistema em compara??o com arquiteturas tradicionais de IoT. Os testes revelaram resultados satisfat?rios, melhorando os tempos de conex?o, processamento e entrega das informa??es ?s aplica??es, redu??o do volume de comunica??o entre dispositivos e core middleware, al?m de melhorar a seguran?a nas comunica??es. Tamb?m ? apresentada uma revis?o de trabalhos relacionados tanto no meio acad?mico como no da ind?stria.
4
Nergis, Damirag Melodi. "Web Based Cloud Interaction and Visualization of Air Pollution Data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254401.
Full textAbstract:
According to World Health Organization, around 7 million people die every year due to diseases caused by air pollution. With the improvements in Internet of Things in the recent years, environmental sensing systems has started to gain importance. By using technologies like Cloud Computing, RFID, Wireless Sensor Networks, and open Application Programming Interfaces, it has become easier to collect data for visualization on different platforms. However, collected data need to be represented in an efficient way for better understanding and analysis, which requires design of data visualization tools. The GreenIoT initiative aims to provide open data with its infrastructure for sustainable city development in Uppsala. An environmental web application is presented within this thesis project, which visualizes the gathered environmental data to help municipality organizations to implement new policies for sustainable urban planning, and citizens to gain more knowledge to take sustainable decisions in their daily life. The application has been developed making use of the 4Dialog API, which is developed to provide data from a dedicated cloud storage for visualization purposes. According to the evaluation presented in this thesis, further development is needed to improve the performance to provide faster and more reliable service as well as the accessibility to promote openness and social inclusion.Enligt World Health Organization dör 7 miljoner människor varje år på grund av sjukdomar orsakade av luftföroreningar. Med förbättringar inom Internet of Things under senare år, har betydelsen av system för miljösensorer. Genom att använda tekniker som molntjänster, RFID, trådlösa sensornätverk och öppna programmeringsgränssnitt, har det blivit enklare att samla in data för visualisering på olika plattformar. Men insamlad data behöver bli representerad på ett effektivt sätt för bättre förståelse och analys, vilket kräver utformande av verktyg för visualisering av data. Initiativet GreenIoT strävar mot att erbjuda öppen data med sin infrastruktur för hållbar stadsutveckling i Uppsala. I detta arbete presenteras en webb-tillämpning, som visualiserar den insamlade miljödatan för att hjälpa kommunen att implementera nya policies för hållbar stadsutveckling, och stimulera medborgare till att skaffa mer kunskap för att göra miljövänliga val i sin vardag. Tillämpningen har utvecklats med hjälp av 4Dialog API, som tillhandahåller data från lagring i molnet för visualiseringssyfte. Enligt den utvärdering som presenteras i denna rapport konstateras att vidare utveckling behövs för att förbättra dels prestanda för att erbjuda en snabbare och mer tillförlitlig service, och dels åtkomstmöjligheter för att främja öppenhet och social inkludering.
5
Halász, Dávid. "Internet of Things zařízení s podporou ZigBee a 6LoWPAN." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-363739.
Full textAbstract:
Internet of Things is the latest phenomenon in the computing industry. Even if it has not been completely defined yet, we are already surrounded by various devices connected to the Internet. This thesis project focuses on low cost and low-power wireless solutions and on the on-line backend behind the architecture. At the same time the present work also deals with Cloud Computing which can provide a highly scalable runtime environment for this backend without building an infrastructure. To handle the huge amount of data collected by billions of devices, BigData services could be used in the same cloud space. The project is a collection of the theoretical background of the Internet of Things; so as a result, it provides the reader with an overview of the concept. It also provides a walktrough of the design, implementation and testing process of a complex agricultural Internet of Things solution.
6
Passeri, Luca. "Pervasive Jarvis: Evoluzione di un Sistema IoT per le Smart Home." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Find full textAbstract:
L'enorme crescita dell'Internet of Things ha permesso una trasformazione degli ambienti in cui viviamo tramite la diffusione di dispositivi sempre più intelligenti, in grado di interagire tra loro e con il mondo esterno.
In questo scenario si introduce Jarvis, un assistente virtuale per case ed uffici. Jarvis integra diversi prodotti e servizi, mettendo a disposizione dell'utente numerose funzionalità che permettono di automatizzare un'abitazione e controllarla da remoto.
Questo progetto si propone di evolvere Jarvis rendendolo conforme allo standard attuale dei sistemi IoT per le smart home, in particolare tenendo conto di concetti come “pervasive computing” e “Web of Things”.
Lo scopo principale è quello di trasformare Jarvis in modo da aumentarne significativamente le capacità. In particolare si intende rendere tale assistente più pervasivo, in modo che sia possibile interagirvi in ogni ambiente, e permettere una maggior apertura verso il mondo esterno, consentendo di interagire con l'enorme quantità di dispositivi e servizi nel Web.
7
Pradilla, Ceron Juan Vicente. "SOSLite: Soporte para Sistemas Ciber-Físicos y Computación en la Nube." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/76808.
Full textAbstract:
Cyber-Physical Systems (CPS) have become one of the greatest research topics today; because they pose a new complex discipline, which addresses big existing and future systems as the Internet, the Internet of Things, sensors networks and smart grids. As a recent discipline, there are many possibilities to improve the state of the art, interoperability being one of the most relevant.
Thus, this thesis has been created within the framework of interoperability for CPS, by using the SOS (Sensor Observation Service) standard, which belongs to the SWE (Sensor Web Enablement) framework of the OGC (Open Geospatial Consortium). It has been developed to give rise to a new line of research within the Distributed Real-Time Systems and Applications group (SATRD for its acronym in Spanish) from the Communications Department of the Polytechnic University of Valencia (UPV for its acronym in Valencian).
The approach, with which the interoperability in the CPS has been addressed, is of synthetic type (from parts to whole), starting from a verifiable and workable solution for interoperability in sensor networks, one of the most significant CPSs because it is integrated in many other CPSs, next adapting and testing the solution in more complex CPS, such as the Internet of Things.
In this way, an interoperability solution in sensor networks is proposed based on the SOS, but adapted to some requirements that makes of this mechanism a lighter version of the standard, which facilitates the deployment of future implementations due to the possibility of using limited devices for this purpose. This theoretical solution is brought to a first implementation, called SOSLite, which is tested to determine its characteristic behavior and to verify the fulfillment of its purpose.
Analogously, and starting from the same theoretical solution, a second implementation is projected called SOSFul, which proposes an update to the SOS standard so that it is lighter, more efficient and easier to use. The SOSFul, has a more ambitious projection by addressing the Internet of Things, a more complex CPS than sensors networks. As in the case of the SOSLite, tests are performed and validation is made through a use case.
So, both the SOSLite and the SOSFul are projected as interoperability solutions in the CPS. Both implementations are based on the theoretical proposal of a light SOS and are available for free and under open source licensing so that it can be used by the research community to continue its development and increase its use.Los Sistemas Ciber-Físicos (CPS) se han convertido en uno de los temas de investigación con mayor proyección en la actualidad; debido a que plantean una nueva disciplina compleja, que aborda sistemas existentes y futuros de gran auge como: la Internet, la Internet de las Cosas, las redes de sensores y las redes eléctricas inteligentes. Como disciplina en gestación, existen muchas posibilidades para aportar al estado del arte, siendo la interoperabilidad uno de los más relevantes. Así, esta tesis se ha creado en el marco de la interoperabilidad para los CPS, mediante la utilización del estándar SOS (Sensor Observation Service) perteneciente al marco de trabajo SWE (Sensor Web Enablement) del OGC (Open Geospatial Consortium). Se ha desarrollado para dar surgimiento a una nueva línea de investigación dentro del grupo SATRD (Sistemas y Aplicaciones de Tiempo Real Distribuidos) del Departamento de Comunicaciones de la UPV (Universitat Politècnica de València). La aproximación con la cual se ha abordado la interoperabilidad en los CPS es de tipo sintética (pasar de las partes al todo), iniciando desde una solución, verificable y realizable, para la interoperabilidad en las redes de sensores, uno de los CPS más significativos debido a que se integra en muchos otros CPS, y pasando a adaptar y comprobar dicha solución en CPS de mayor complejidad, como la Internet de las Cosas. De esta forma, se propone una solución de interoperabilidad en las redes de sensores fundamentada en el SOS, pero adaptada a unos requerimientos que hacen de este mecanismo una versión más ligera del estándar, con lo que se facilita el despliegue de futuras implementaciones debido a la posibilidad de emplear dispositivos limitados para tal fin. Dicha solución teórica, se lleva a una primera implementación, denominada SOSLite, la cual se prueba para determinar su comportamiento característico y verificar el cumplimiento de su propósito. De forma análoga y partiendo de la misma solución teórica, se proyecta una segunda implementación, llamada SOSFul, la cual propone una actualización del estándar SOS de forma que sea más ligero, eficiente y fácil de emplear. El SOSFul, tiene una proyección más ambiciosa al abordar la Internet de las Cosas, un CPS más complejo que las redes de sensores. Como en el caso del SOSLite, se realizan pruebas y se valida mediante un caso de uso. Así, tanto el SOSLite como el SOSFul se proyectan como soluciones de interoperabilidad en los CPS. Ambas implementaciones parten de la propuesta teórica de SOS ligero y se encuentran disponibles de forma gratuita y bajo código libre, para ser empleados por la comunidad investigativa para continuar su desarrollo y aumentar su uso.
Els sistemes ciberfísics (CPS, Cyber-Physical Systems) s'han convertit en un dels temes de recerca amb major projecció en l'actualitat, a causa del fet que plantegen una nova disciplina complexa que aborda sistemes existents i futurs de gran auge, com ara: la Internet, la Internet de les Coses, les xarxes de sensors i les xarxes elèctriques intel·ligents. Com a disciplina en gestació, hi ha moltes possibilitats per a aportar a l'estat de la qüestió, sent la interoperabilitat una de les més rellevants. Així, aquesta tesi s'ha creat en el marc de la interoperabilitat per als CPS, mitjançant la utilització de l'estàndard SOS (Sensor Observation Service) pertanyent al marc de treball SWE (Sensor Web Enablement) de l'OGC (Open Geospatial Consortium). S'ha desenvolupat per a iniciar una nova línia de recerca dins del Grup de SATRD (Sistemes i Aplicacions de Temps Real Distribuïts) del Departament de Comunicacions de la UPV (Universitat Politècnica de València). L'aproximació amb la qual s'ha abordat la interoperabilitat en els CPS és de tipus sintètic (passar de les parts al tot), iniciant des d'una solució, verificable i realitzable, per a la interoperabilitat en les xarxes de sensors, un dels CPS més significatius pel fet que s'integra en molts altres CPS, i passant a adaptar i comprovar aquesta solució en CPS de major complexitat, com la Internet de les Coses. D'aquesta forma, es proposa una solució d'interoperabilitat en les xarxes de sensors fonamentada en el SOS, però adaptada a uns requeriments que fan d'aquest mecanisme una versió més lleugera de l'estàndard, amb la qual cosa es facilita el desplegament de futures implementacions per la possibilitat d'emprar dispositius limitats a aquest fi. Aquesta solució teòrica es porta a una primera implementació, denominada SOSLite, que es prova per a determinar el seu comportament característic i verificar el compliment del seu propòsit. De forma anàloga i partint de la mateixa solució teòrica, es projecta una segona implementació, anomenada SOSFul, que proposa una actualització de l'estàndard SOS de manera que siga més lleuger, eficient i fàcil d'emprar. El SOSFul té una projecció més ambiciosa quan aborda la Internet de les Coses, un CPS més complex que les xarxes de sensors. Com en el cas del SOSLite, es realitzen proves i es valida mitjançant un cas d'ús. Així, tant el SOSLite com el SOSFul, es projecten com a solucions d'interoperabilitat en els CPS. Ambdues implementacions parteixen de la proposta teòrica de SOS lleuger, i es troben disponibles de forma gratuïta i en codi lliure per a ser emprades per la comunitat investigadora a fi de continuar el seu desenvolupament i augmentar-ne l'ús.
Pradilla Ceron, JV. (2016). SOSLite: Soporte para Sistemas Ciber-Físicos y Computación en la Nube [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/76808
TESIS
8
Khan, Imran. "Cloud-based cost-efficient application and service provisioning in virtualized wireless sensor networks." Thesis, Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0019/document.
Full textAbstract:
Des Réseaux de Capteurs Sans Fil (RdCSF) deviennent omniprésents et sont utilisés dans diverses applications domaines. Ils sont les pierres angulaires de l'émergence de l'Internet des Objets (IdO) paradigme. Déploiements traditionnels de réseaux de capteurs sont spécifiques à un domaine, avec des applications généralement incrustés dans le RdCSF, excluant la ré-utilisation de l'infrastructure par d'autres applications. Maintenant, avec l'avènement de l'IdO, cette approche est de moins en moins viable. Une solution possible réside dans le partage d'une même RdCSF par de plusieurs applications et services, y compris même les applications et services qui ne sont pas envisagées lors du déploiement de RdCSF. Deux principaux développements majeurs ont conduit à cette solution potentielle. Premièrement, comme les nœuds de RdCSF sont de plus en plus puissants, il devient de plus en plus pertinent de rechercher comment pourrait plusieurs applications partager les mêmes déploiements WSN. La deuxième évolution est le Cloud Computing paradigme qui promeut des ressources et de la rentabilité en appliquant le concept de virtualisation les ressources physiques disponibles. Grâce à ces développements de cette thèse fait les contributions suivantes. Tout d'abord, un vaste état de la revue d'art est présenté qui présente les principes de base de RdCSF la virtualisation et sa pertinence avec précaution motive les scénarios sélectionnés. Les travaux existants sont présentés en détail et évaluées de manière critique en utilisant un ensemble d'exigences provenant du scénario. Cette contribution améliore sensiblement les critiques actuelles sur l'état de l'art en termes de portée, de la motivation, de détails, et les questions de recherche futures. La deuxième contribution se compose de deux parties: la première partie est une nouvelle architecture de virtualization RdCSF multicouche permet l'approvisionnement de plusieurs applications et services au cours du même déploiement de RdCSF. Il est mis en œuvre et évaluée en utilisant un prototype basé sur un scénario de preuve de concept en utilisant le kit Java SunSpot. La deuxième partie de cette contribution est l'architecture étendue qui permet à l’infrastructure virtualisée RdCSF d'interagir avec un RdCSF Platform-as-a-Service (PaaS) à un niveau d'abstraction plus élevé. Grâce à ces améliorations RdCSF PaaS peut provisionner des applications et des services RdCSF aux utilisateurs finaux que Software-as-a-Service (SaaS). Les premiers résultats sont présentés sur la base de l'implantation de l'architecture améliorée en utilisant le kit Java SunSpot. La troisième contribution est une nouvelle architecture d'annotation de données pour les applications sémantiques dans les environnements virtualisés les RdCSF. Il permet en réseau annotation de données et utilise des superpositions étant la pierre angulaire. Nous utilisons la base ontologie de domaine indépendant d'annoter les données du capteur. Un prototype de preuve de concept, basé sur un scénario, est développé et mis en œuvre en utilisant Java SunSpot, Kits AdvanticSys et Google App Engine. La quatrième et dernière contribution est l'amélioration à l'annotation de données proposée l'architecture sur deux fronts. L'un est l'extension à l'architecture proposée pour soutenir la création d'ontologie, de la distribution et la gestion. Le deuxième front est une heuristique génétique basée algorithme utilisé pour la sélection de noeuds capables de stocker l'ontologie de base. L'extension de la gestion d'ontologie est mise en oeuvre et évaluée à l'aide d'un prototype de validation de principe à l'aide de Java kit SunSpot, tandis que les résultats de la simulation de l'algorithme sont présentésWireless Sensor Networks (WSNs) are becoming ubiquitous and are used in diverse applications domains. Traditional deployments of WSNs are domain-specific, with applications usually embedded in the WSN, precluding the re-use of the infrastructure by other applications. This can lead to redundant deployments. Now with the advent of IoT, this approach is less and less viable. A potential solution lies in the sharing of a same WSN by multiple applications and services, to allow resource- and cost-efficiency. In this dissertation, three architectural solutions are proposed for this purpose. The first solution consists of two parts: the first part is a novel multilayer WSN virtualization architecture that allows the provisioning of multiple applications and services over the same WSN deployment. The second part of this contribution is the extended architecture that allows virtualized WSN infrastructure to interact with a WSN Platform-as-a-Service (PaaS) at a higher level of abstraction. Both these solutions are implemented and evaluated using two scenario-based proof-of-concept prototypes using Java SunSpot kit. The second architectural solution is a novel data annotation architecture for the provisioning of semantic applications in virtualized WSNs. It is capable of providing in-network, distributed, real-time annotation of raw sensor data and uses overlays as the cornerstone. This architecture is implemented and evaluated using Java SunSpot, AdvanticSys kits and Google App Engine. The third architectural solution is the enhancement to the data annotation architecture on two fronts. One is a heuristic-based genetic algorithm used for the selection of capable nodes for storing the base ontology. The second front is the extension to the proposed architecture to support ontology creation, distribution and management. The simulation results of the algorithm are presented and the ontology management extension is implemented and evaluated using a proof-of-concept prototype using Java SunSpot kit. As another contribution, an extensive state-of-the-art review is presented that introduces the basics of WSN virtualization and motivates its pertinence with carefully selected scenarios. This contribution substantially improves current state-of-the-art reviews in terms of the scope, motivation, details, and future research issues
9
Valente, Bruno Alexandre Loureiro. "Um middleware para a Internet das coisas." Master's thesis, 2011. http://hdl.handle.net/10451/13916.
Full textAbstract:
After the traditional Internet (with program-to-human communication), and after the Internet of Services (with program-to-program communication), the Internet of Things is
a novel paradigm of communication, aiming at integrating the state of everyday things
into the digital world. But things are everywhere, have different colours, come in different flavours, so, building reliable applications that depend on such things imposes great challenges and demands for new approaches to integrate heterogeneous devices smoothly.
This master thesis faces these challenges and proposes a middleware framework to manage
the things networks and their data, all this supported by Web services. We designed
and implemented a generic platform, where services represent network features, allowing
for high level applications to interact with heterogeneous hardware using dynamic
methods. When we use Web services, we benefit from an interoperable technology, cross platform and independent from programming languages, and the most important, available on the Web. These attributes makes easier building heterogeneous systems, like the
Internet of Things. As we support many services, we propose an innovative search method based on an ontology that relates the things networks with the available services, allowing semantics searches through their characteristics.
10
Amir, Mohammad, Prashant Pillai, and Yim Fun Hu. "Cascading permissions policy model for token-based access control in the web of things." 2014. http://hdl.handle.net/10454/10584.
Full textAbstract:
NoThe merger of the Internet of Things (IoT) with cloud computing has given birth to a Web of Things (WoT) which hosts heterogeneous and rapidly varying data. Traditional access control mechanisms such as Role-Based Access schemes are no longer suitable for modelling access control on such a large and dynamic scale as the actors may also change all the time. For such a dynamic mix of applications, data and actors, a more distributed and flexible model is required. Token-Based Access Control is one such scheme which can easily model and comfortably handle interactions with big data in the cloud and enable provisioning of access to fine levels of granularity. However, simple token access models quickly become hard to manage in the face of a rapidly growing repository. This paper proposes a novel token access model based on a cascading permissions policy model which can easily control interactivity with big data without becoming a menace to manage and administer.
Books on the topic "Internet Things Web Middleware Cloud Computing"
Book chapters on the topic "Internet Things Web Middleware Cloud Computing"
1
Debbarma, Tribid, and K. Chandrasekaran. "Middleware Frameworks for Mobile Cloud Computing, Internet of Things and Cloud of Things: A Review." In Advances in Intelligent Systems and Computing, 37–50. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1518-7_4.
Full text
2
de Farias, Claudio M., Paulo G. S. M. Júnior, Marina V. Pereira, Italo C. Brito, Igor L. dos Santos, Luci Pirmez, Flávia C. Delicato, and Luiz F. R. C. Carmo. "Web2Compile-CoT: A Web IDE for the Cloud of Things." In Internet and Distributed Computing Systems, 19–30. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23237-9_3.
Full text
3
Stepień, Krzysztof, and Aneta Poniszewska-Marańda. "Towards Internet of Things and Cloud Computing for Management of Cars Network." In Advances in Internet, Data & Web Technologies, 627–38. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75928-9_56.
Full text
4
Waheed, Soulat, and Peer A. Shah. "Application of Fog and Cloud Computing for Patient’s Data in the Internet of Things." In Advances in Internet, Data and Web Technologies, 425–36. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12839-5_39.
Full text
5
Misbah, Anass, and Ahmed Ettalbi. "Multi-view Web Services as a Key Security Layer in Internet of Things Architecture Within a Cloud Infrastructure." In Advances in Intelligent Systems and Computing, 288–97. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76354-5_26.
Full text
6
Chandra Patni, Jagdish. "Cloud Security in Middleware Architecture." In Middleware Architecture [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98541.
Full textAbstract:
The new Internet of Things (IoT) has increased the need for computing, connectivity, and storage capacities as the amount of sensitive data grows. Since it provides on-demand access to a common pool of resources such as processors, storage, software, and services, cloud computing can seem to be a convenient solution. However, there is a cost, as excessive communications burden not only the core network, but also the cloud data centre. As a result, it’s critical to consider appropriate approaches and security middleware solutions. In this chapter, we define a middleware architecture to address security concerns and explore the general concept of cloud to achieve a higher level of security. Since it is designed to pre-process data at the network’s edge, this security middleware functions as a smart gateway. Data can be processed and stored locally on fog or sent to the cloud for further processing, depending on the information obtained. Furthermore, the devices communicate via middleware, which gives them access to more computing power and improved security capabilities, allowing them to conduct safe communications. We discuss these concepts in detail, and explain how this is effective to cope with some of the most relevant security challenges.
7
Riemann, Ute. "Benefits and Challenges for BPM in the Cloud." In Web Services, 1681–705. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7501-6.ch087.
Full textAbstract:
Business processes are not only variable, they are dynamic as well. A key benefit of BPM is the ability to adjust processes accordingly in response to changing market requirements. In parallel to BPM, enterprise cloud computing technology has emerged to provide a more cost effective solution to businesses and services while making use of inexpensive computing solutions, which combines pervasive, internet, and virtualization technologies (). Despite the slow start the business benefits of cloud computing are as such that the transition of BPM to the cloud is now underway. Cloud services refer to the operation of a virtualized, automated, and service-oriented IT landscape that allows the flexible provision and usage-based invoicing of resources, services, and applications via a network or the Internet. The generic term “X-as-a-Service” summarized the business models delivering almost everything as a service. BPM in the cloud is often regarded as a SaaS application. More recently, BPM is being regarded as a PaaS as it facilitates the creation and deployment of applications, in this case business process solutions. The PaaS landscape is the least developed of the four cloud based software delivery models previously discussed. PaaS vendors, such as IBM, Oracle, Microsoft delivered an application platform with managed cloud infrastructure services however more recently the PaaS market has begun to evolve to include other middleware capabilities including process management. BPM PaaS is the delivery of BPM technology as a service via a cloud service provider. In order to be classified as a PaaS a BPM suite requires the following capabilities: the architecture should be multi-tenant, it should be hosted off premise and it should offer elasticity and metering by use capabilities. When we refer to BPM in the cloud what we are really referring to is a combination of BPM PaaS and BPaaS (Business Process as a Service). Business Process as a Service (BPaaS) is a set of pre-defined business processes that allows the execution of customized business processes in the cloud. BPaaS is a complete pre-integrated BPM platform hosted in the cloud and delivered as a service, for the development and execution of general-purpose business process application. Although such a service harbors an economic potential, questions that need to be answered are as follows: Can an individual and company-specific business process supported by a standardized cloud solution, or should we protect process creativity and competitive differentiation by allowing the company to design the processes individually and solely support basic data flows and structures? Does it make sense to take a software solution “out of the box” that handles both data and process in a cloud environment, or would this hinder the creativity of business (process) development leading to a lower quality of processes and consequently to a decrease in the competitive positioning of a company? How to manage the inherent compliance and security topic. Within a completely integrated business application system, all required security aspects can be implemented as safeguards with just enough money. Within the cloud, however, advanced standards and identity prove is required to monitor and measure information exchange across the federation. Thereby there seems to be no need for developing new protocols, but a standardized way to collect and evaluate the collected information.
8
Riemann, Ute. "Benefits and Challenges for Business Process Management in the Cloud." In Web-Based Services, 2096–121. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9466-8.ch092.
Full textAbstract:
Business processes are not only variable they are as well dynamic. A key benefit of Business Process Management (BPM) is the ability to adjust business processes accordingly in response to changing market requirements. In parallel to BPM, enterprise cloud computing technology has emerged to provide a more cost effective solution to businesses and services while making use of inexpensive computing solutions, which combines pervasive, internet, and virtualization technologies (). Despite the slow start, the business benefits of cloud computing are as such that the transition of BPM to the cloud is now underway. Cloud services refer to the operation of a virtualized, automated, and service-oriented IT landscape allowing the flexible provision and usage-based invoicing of resources, services, and applications via a network or the internet. The generic term “X-as-a-Service” summarize the business models delivering almost everything as a service. BPM in the cloud is often regarded as a SaaS application. More recently, BPM is being regarded as a PaaS as it facilitates the creation and deployment of applications, in this case business process solutions. The PaaS landscape is the least developed of the four cloud based software delivery models previously discussed. PaaS vendors, such as IBM, Oracle, and Microsoft delivered an application platform with managed cloud infrastructure services however, more recently the PaaS market has begun to evolve to include other middleware capabilities including process management. BPM PaaS is the delivery of BPM technology as a service via a cloud service provider. For the classification as a PaaS a BPM suite requires the following capabilities: the architecture should be multi-tenant, hosting should be off premise and it should offer elasticity and metering by use capabilities. When we refer to BPM in the cloud, what we are really referring to is a combination of BPM PaaS and BPaaS (Business Process as a Service). Business Process as a Service (BPaaS) is a set of pre-defined business processes that allows the execution of customized business processes in the cloud. BPaaS is a complete pre-integrated BPM platform hosted in the cloud and delivered as a service, for the development and execution of general-purpose business process application. Although such a service harbors an economic potential there are remaining questions: Can an individual and company-specific business process supported by a standardized cloud solution, or should we protect process creativity and competitive differentiation by allowing the company to design the processes individually and solely support basic data flows and structures? Does it make sense to take a software solution “out of the box” that handles both data and process in a cloud environment, or would this hinder the creativity of business (process) development leading to a lower quality of processes and consequently to a decrease in the competitive positioning of a company? How to manage the inherent compliance and security topic. Within a completely integrated business application system, all required security aspects can be implemented as a safeguarding with just enough money. Within the cloud, however, advanced standards and identity prove is required to monitor and measure information exchange across the federation. Thereby there seems to be no need for developing new protocols, but a standardized way to collect and evaluate the collected information.
9
Menon, Maniyil Supriya, and Rajarajeswari Pothuraju. "Fog Computing in Industrial Internet of Things." In Advances in Computer and Electrical Engineering, 65–78. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3375-8.ch005.
Full textAbstract:
Fog computing, often projected as an extension to cloud, renders its design to deal with challenges of traditional cloud-based IoT. Fog enlightens its features of low latency, real-time interaction, location awareness, mobility support, geo-distribution (smart city), etc. over cloud. Fog by nature does not work on cloud instead on a network edge for facilitating higher speeds. Fog pulls down the risk of security attacks. Industrial sector is revolutionized by ever changing technical advancements and IoT, which is a young discipline embraced by industry thereby bringing in IIoT. Fog computing is viable to Industrial processes. IIoT is well supported by the middleware fog computing as industrial process requires most of the task performed locally and securely at end points with minimum delay. Fog, deployed for industrial processes and entities which are part of internet, is gaining importance in recent times being titles as fog for IIoT. Additionally, as industrial big data is often ill structured, it can be polished before sending it to cloud resulting in an enhanced computing.
10
Khan, Imran, Lídia Oliveira, Ana Carla Amaro, and Ana Melro. "Internet of Things." In Advances in Religious and Cultural Studies, 19–43. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6701-2.ch002.
Full textAbstract:
The potential of IoT applications is now recognized, namely the use the IoT as a technological solution for societal challenges such as in health, education, industries, tourism, agricultural, and for this chapter concern, in cultural heritage dissemination. This chapter presents the different evolutionary phases of IoT and its different generations, first-generation experienced embedded things, second-generation a complex social web of things, and third-generation experience the autonomous social objects and cloud computing. This chapter analyzes the characteristics of IoT, for example interconnectivity, intelligence, heterogeneity, safety, monitoring and control, big data and analytics, information sharing and collaboration. Furthermore, this chapter describes the different usage of IoT scenarios applications in some specific areas, such as agriculture, cultural heritage, and tourism.
Conference papers on the topic "Internet Things Web Middleware Cloud Computing"
1
Hong, Yelin. "A Resource-Oriented Middleware Framework for Heterogeneous Internet of Things." In 2012 International Conference on Cloud and Service Computing (CSC). IEEE, 2012. http://dx.doi.org/10.1109/csc.2012.10.
Full text
2
Mohammed, Junaid, Chung-Horng Lung, Adrian Ocneanu, Abhinav Thakral, Colin Jones, and Andy Adler. "Internet of Things: Remote Patient Monitoring Using Web Services and Cloud Computing." In 2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing(CPSCom). IEEE, 2014. http://dx.doi.org/10.1109/ithings.2014.45.
Full text
3
Soliman, Moataz, Tobi Abiodun, Tarek Hamouda, Jiehan Zhou, and Chung-Horng Lung. "Smart Home: Integrating Internet of Things with Web Services and Cloud Computing." In 2013 IEEE 5th International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 2013. http://dx.doi.org/10.1109/cloudcom.2013.155.
Full text
4
Razouk, Wissam, Daniele Sgandurra, and Kouichi Sakurai. "A new security middleware architecture based on fog computing and cloud to support IoT constrained devices." In IML 2017: International Conference on Internet of Things and Machine Learning. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3109761.3158413.
Full text
5
R, Shashidhar H., G. T. Raju, and Vinayaka Murthy. "Selectivity estimation in web query optimization." In ICC '17: Second International Conference on Internet of Things, Data and Cloud Computing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3018896.3152305.
Full text
6
Obidallah, Waeal J., and Bijan Raahemi. "A survey on web service discovery approaches." In ICC '17: Second International Conference on Internet of Things, Data and Cloud Computing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3018896.3056773.
Full text
7
Mohamed, Nader, Jameela Al-Jaroodi, Sanja Lazarova-Molnar, Imad Jawhar, and Sara Mahmoud. "A service-oriented middleware for cloud of things and fog computing supporting smart city applications." In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2017. http://dx.doi.org/10.1109/uic-atc.2017.8397564.
Full text
8
Al-Jadaa, Ali A., Abdallatif S. Abu-Issa, Wasel T. Ghanem, and Mohammed S. Hussein. "Enhancing the intelligence of web tutoring systems using a multi-entry based open learner model." In ICC '17: Second International Conference on Internet of Things, Data and Cloud Computing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3018896.3036389.
Full text
9
Terius-Padron, Jose G., Ezequiel Simeoni, Rebeca I. Garcia-Betances, Nikolaos Liappas, Eugenio Gaeta, Maria Fernanda Cabrera-Umpierrez, and Maria Teresa Arredondo Waldmeyer. "Autonomus air Quality Management System Based on Web of Things Standard Architecture." In 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2019. http://dx.doi.org/10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00074.
Full text
10
Adamson, Göran, Lihui Wang, and Magnus Holm. "The State of the Art of Cloud Manufacturing and Future Trends." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1123.
Full textAbstract:
Cloud manufacturing has emerged as a new manufacturing paradigm, which combines technologies (such as Internet of Things, Cloud computing, semantic Web, virtualisation and service-oriented technologies) with advanced manufacturing models, information and communication technologies. It aims to be networked, intelligent, service-oriented, knowledge-based and energy efficient, and promises a variety of benefits and advantages by providing fast, reliable and secure on-demand services for users. It is envisioned that companies in all sectors of manufacturing will be able to package their resources and know-hows in the Cloud, making them conveniently available for others through pay-as-you-go, which is also timely and economically attractive. Resources, e.g. manufacturing software tools, applications, knowledge and fabrication capabilities, will then be made accessible to presumptive consumers on a worldwide basis. After surveying a vast array of available publications, this paper presents an up-to-date literature review together with future trends and research directions in Cloud manufacturing.