Relevant bibliographies by topics / Features of cloud computing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Features of cloud computing'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Features of 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 "Features of cloud computing"

1

Mitra, Manu. "Cloud Computing and its Features." ACTA Computer Sciences 2, no. 1 (2019): 1–3. https://doi.org/10.5281/zenodo.3560213.

Full text
Abstract:
The use cloud computing is on demand availability of computer system resources for usage of computing power [1]. Cloud computing are divided in various subcategories based on requirements and physical location of computing resources. Few of cloud service models are 1) Software as a Service (SaaS) – it is a software transfer method that provides access to software and its functions remotely as a Web based service. 2) Platform as a Service (PaaS) – it is a computing platform being provided as a service. This is outsourced in place of a company or data center purchasing and managing its own hardware and software layers. 3) Infrastructure as a Service (IaaS) – computer infrastructure for instance, servers, storage and networking is provided as a service. IaaS is common with enterprises that have the convenience of having the cloud vendor manage their Information Technology infrastructure [2]. This editorial article gives brief insights about few from plenty of various cloud computing and its features. 
APA, Harvard, Vancouver, ISO, and other styles
2

Kyi, Pyar, and Me Khaing Me. "Cloud Computing Basics Features and Services." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 2539–41. https://doi.org/10.5281/zenodo.3591701.

Full text
Abstract:
Cloud computing is an on demand service in which distributed resources, information, software and other devices are provided according to the client's requirement at specific time 1 . Cloud computing involves deploying groups of remote servers and software networks that allow centralized data storage and online access to computer services or resources. In this paper, we explore the different services in different computing platforms and applications. Cloud computing is a service, which offers customers to work over the internet 2 . Kyi Pyar | Me Me Khaing "Cloud Computing Basics: Features and Services" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27960.pdf
APA, Harvard, Vancouver, ISO, and other styles
3

R, Jain. "Survey on Mobile Cloud Computing." Advances in Robotic Technology 2, no. 1 (2024): 1–7. http://dx.doi.org/10.23880/art-16000111.

Full text
Abstract:
The paper explores how cloud computing offers the capacity to improve computing features and application services while addressing its transformative impact on mobile device systems. It recognizes, yet, the security risks associated with transferring data and computing. Using various cloud types for secure information searches and security-critical activities, the research proposal proposes a secure exporting architecture to basic clouds. It shows the significance of cryptography, confidentiality security measures, and data security methods in solving these security issues with cloud computing and mobile cloud computing (MCC). From the perspective of the specific challenges of mobile environments, that abstract's argument indicates the need for further research to enhance mobile cloud-based applications and improve these security technologies.
APA, Harvard, Vancouver, ISO, and other styles
4

Nagaraju Ankathi and Dr. Kumar Bhatia. "Investigating the Evolution of Cloud Computing: Research Perspectives." Journal of Advances and Scholarly Researches in Allied Education 21, no. 1 (2024): 195–99. http://dx.doi.org/10.29070/gjaevf64.

Full text
Abstract:
Cloud computing is an economical and powerful tool for small businesses, especially in developing countries. It offers a scalable solution for enterprise resource planning, supply chain management, customer relationship management, healthcare applications, and mobile apps that can reach many users. In this paper, we examine the various concepts associated with cloud computing. Leveraging our experience with different clouds, we explore clouds from technical and business perspectives. We highlight some of the opportunities in cloud computing, emphasizing the importance of cloud technology. This paper provides detailed information about the features, uses, and practical applications of cloud computing.
APA, Harvard, Vancouver, ISO, and other styles
5

Khan, Nawsher, A. Noraziah, Elrasheed I. Ismail, Mustafa Mat Deris, and Tutut Herawan. "Cloud Computing." International Journal of E-Entrepreneurship and Innovation 3, no. 2 (2012): 51–59. http://dx.doi.org/10.4018/jeei.2012040104.

Full text
Abstract:
Cloud computing is fundamentally altering the expectations for how and when computing, storage, and networking resources should be allocated, managed, consumed, and allow users to utilize services globally. Due to the powerful computing and storage, high availability and security, easy accessibility and adaptability, reliable scalability and interoperability, cost and time effective cloud computing is the top, needed for current fast growing business world. A client, organization or a trade that adopting emerging cloud environment can choose a well suitable infrastructure, platform, software, and a network resource, for any business, where each one has some exclusive features and advantages. The authors first develop a comprehensive classification for describing cloud computing architecture. This classification help in survey of several existing cloud computing services developed by various projects globally such as Amazon, Google, Microsoft, Sun and Force.com and by using this survey’s results the authors identified similarities and differences of the architecture approaches of cloud computing.
APA, Harvard, Vancouver, ISO, and other styles
6

Андрущак, І., В. Марценюк, I. Андрощук, В. Чудовець, and М. Потейчук. "CLOUD COMPUTING AND ANALYSIS FEATURES OF CLOUD INFORMATION SECURITY." КОМП’ЮТЕРНО-ІНТЕГРОВАНІ ТЕХНОЛОГІЇ: ОСВІТА, НАУКА, ВИРОБНИЦТВО, no. 37 (December 28, 2019): 5–9. http://dx.doi.org/10.36910/6775-2524-0560-2019-37-1.

Full text
Abstract:
The article discusses the current state of application and development of cloud computing, the main advantages and disadvantages of their use in the states, enterprises and in scientific activity. The standards, regulations and guidance documents in the field of cloud computing information security are developed and analyzed, developed by the Cloud Security Alliance (CSA), the European Network and Information Security Agency (ENISA) and the National Institute of Standards and Technology (NIST), and the results of a detailed analysis of the issues information security in the cloud.
APA, Harvard, Vancouver, ISO, and other styles
7

Hosam, AlHakami Hamza Aldabbas and Tariq Alwada'n. "COMPARISON BETWEEN CLOUD AND GRID COMPUTING: REVIEW PAPER." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 2, August (2018): 01–21. https://doi.org/10.5281/zenodo.1437765.

Full text
Abstract:
Cloud computing is the most recent announced technology that has been launched on the network world. Clouds are considered as a new generation of Grid computing. Clouds consist of data centres which are owned by the same institute. The homogeneity within each data centre in the infrastructure is the main feature for the cloud computing compared to grid computing. This paper provides a definition for the cloud, it discusses many aspects of Cloud Computing, and describes architectures for the cloud (by looking at Amazon’s application (GrepTheWeb)) and how its cost definition differs from that of Grid computing. This paper focuses on comparing Cloud Computing to previous generations such as Grid Computing, by reviewing some Security and Policy Issues in Cloud and Grid Computing. At the end, this paper describes the similarities and differences between the Grid and Cloud approaches.
APA, Harvard, Vancouver, ISO, and other styles
8

Francis, T. "A Comparison of Cloud Execution Mechanisms Fog, Edge, and Clone Cloud Computing." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4646. http://dx.doi.org/10.11591/ijece.v8i6.pp4646-4653.

Full text
Abstract:
Cloud computing is a technology that was developed a decade ago to provide uninterrupted, scalable services to users and organizations. Cloud computing has also become an attractive feature for mobile users due to the limited features of mobile devices. The combination of cloud technologies with mobile technologies resulted in a new area of computing called mobile cloud computing. This combined technology is used to augment the resources existing in Smart devices. In recent times, Fog computing, Edge computing, and Clone Cloud computing techniques have become the latest trends after mobile cloud computing, which have all been developed to address the limitations in cloud computing. This paper reviews these recent technologies in detail and provides a comparative study of them. It also addresses the differences in these technologies and how each of them is effective for organizations and developers.
APA, Harvard, Vancouver, ISO, and other styles
9

Francis, T. "A Comparison of Cloud Execution Mechanisms Fog, Edge, and Clone Cloud Computing." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4646–53. https://doi.org/10.11591/ijece.v8i6.pp4646-4653.

Full text
Abstract:
Cloud computing is a technology that was developed a decade ago to provide uninterrupted, scalable services to users and organizations. Cloud computing has also become an attractive feature for mobile users due to the limited features of mobile devices. The combination of cloud technologies with mobile technologies resulted in a new area of computing called mobile cloud computing. This combined technology is used to augment the resources existing in Smart devices. In recent times, Fog computing, Edge computing, and Clone Cloud computing techniques have become the latest trends after mobile cloud computing, which have all been developed to address the limitations in cloud computing. This paper reviews these recent technologies in detail and provides a comparative study of them. It also addresses the differences in these technologies and how each of them is effective for organizations and developers.
APA, Harvard, Vancouver, ISO, and other styles
10

Wang, Li Hui. "Research on Security of Database in Cloud Computing Environment." Applied Mechanics and Materials 644-650 (September 2014): 1694–97. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.1694.

Full text
Abstract:
Cloud computing is one of the newest popular technologies in the era of big data, and the problem of database security under the circumstance cloudy computing is one of the key problems of restricting the development and application of cloudy computing. This paper introduces the concept and features of cloudy computing firstly, and then the defect of cloudy database is analyzed, in the end we put forward to several security policies to solve those current problems.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Features of cloud computing"

1

Saker, Vanessa. "Automated feature synthesis on big data using cloud computing resources." Master's thesis, University of Cape Town, 2020. http://hdl.handle.net/11427/32452.

Full text
Abstract:
The data analytics process has many time-consuming steps. Combining data that sits in a relational database warehouse into a single relation while aggregating important information in a meaningful way and preserving relationships across relations, is complex and time-consuming. This step is exceptionally important as many machine learning algorithms require a single file format as an input (e.g. supervised and unsupervised learning, feature representation and feature learning, etc.). An analyst is required to manually combine relations while generating new, more impactful information points from data during the feature synthesis phase of the feature engineering process that precedes machine learning. Furthermore, the entire process is complicated by Big Data factors such as processing power and distributed data storage. There is an open-source package, Featuretools, that uses an innovative algorithm called Deep Feature Synthesis to accelerate the feature engineering step. However, when working with Big Data, there are two major limitations. The first is the curse of modularity - Featuretools stores data in-memory to process it and thus, if data is large, it requires a processing unit with a large memory. Secondly, the package is dependent on data stored in a Pandas DataFrame. This makes the use of Featuretools with Big Data tools such as Apache Spark, a challenge. This dissertation aims to examine the viability and effectiveness of using Featuretools for feature synthesis with Big Data on the cloud computing platform, AWS. Exploring the impact of generated features is a critical first step in solving any data analytics problem. If this can be automated in a distributed Big Data environment with a reasonable investment of time and funds, data analytics exercises will benefit considerably. In this dissertation, a framework for automated feature synthesis with Big Data is proposed and an experiment conducted to examine its viability. Using this framework, an infrastructure was built to support the process of feature synthesis on AWS that made use of S3 storage buckets, Elastic Cloud Computing services, and an Elastic MapReduce cluster. A dataset of 95 million customers, 34 thousand fraud cases and 5.5 million transactions across three different relations was then loaded into the distributed relational database on the platform. The infrastructure was used to show how the dataset could be prepared to represent a business problem, and Featuretools used to generate a single feature matrix suitable for inclusion in a machine learning pipeline. The results show that the approach was viable. The feature matrix produced 75 features from 12 input variables and was time efficient with a total end-to-end run time of 3.5 hours and a cost of approximately R 814 (approximately $52). The framework can be applied to a different set of data and allows the analysts to experiment on a small section of the data until a final feature set is decided. They are able to easily scale the feature matrix to the full dataset. This ability to automate feature synthesis, iterate and scale up, will save time in the analytics process while providing a richer feature set for better machine learning results.
APA, Harvard, Vancouver, ISO, and other styles
2

Joubert, Jean-Pierre. "AC3P: an architecture using cloud computing for the provision of mathematical powerpoint content to feature phones." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1011088.

Full text
Abstract:
The Govan Mbeki Mathematics Development Unit (GMMDU) provides additional mathematics content to learners via mathematics workshops and DVDs. Mathematics is presented in PPT format. The prominence of feature phone usage has been confirmed amongst learners in socio-economic disadvantaged schools, specifically those learners participating in the GMMDU mathematics workshops. Feature phones typically contain limited device resources such as memory, battery power, and network resources. Distributed computing provides the potential to facilitate a new class of mobile applications with the provision of off-device resources. The objective of this research was the design of an architecture using Cloud Computing for the provision of mathematics in the form of PPT slides to feature phones. The capabilities of typical feature phones were reviewed as well as various distributed computing architectures that demonstrate potential benefit to the mobile environment. An Architecture using Cloud Computing for Content Provision (AC3P) was subsequently designed and applied as a proof of concept to facilitate the provision of mathematics in the form of PPT slides to feature phones. The application of AC3P was evaluated for efficiency and effectiveness. It was demonstrated that the application of AC3P provided efficient and effective provision of PPT to feature phones. The successful application of AC3P provided evidence that Cloud Computing may be used to facilitate the provision of mathematics content to feature phones. It is evident that AC3P may be applied in domains other than the provision of mathematics.
APA, Harvard, Vancouver, ISO, and other styles
3

Ma, Bin Bin. "Data stream mining in fog computing environment with feature selection using ensemble of swarm search algorithms." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950659.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Luo, Xi. "Feature-based Configuration Management of Applications in the Cloud." Master's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-116674.

Full text
Abstract:
The complex business applications are increasingly offered as services over the Internet, so-called software-as-a-Service (SaaS) applications. The SAP Netweaver Cloud offers an OSGI-based open platform, which enables multi-tenant SaaS applications to run in the cloud. A multi-tenant SaaS application is designed so that an application instance is used by several customers and their users. As different customers have different requirements for functionality and quality of the application, the application instance must be configurable. Therefore, it must be able to add new configurations into a multi-tenant SaaS application at run-time. In this thesis, we proposed concepts of a configuration management, which are used for managing and creating client configurations of cloud applications. The concepts are implemented in a tool that is based on Eclipse and extended feature models. In addition, we evaluate our concepts and the applicability of the developed solution in the SAP Netwaver Cloud by using a cloud application as a concrete case example.
APA, Harvard, Vancouver, ISO, and other styles
5

Le, Nhan Tam. "Model-Driven Software Engineering for Virtual Machine Images Provisioning in Cloud Computing." Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00923811.

Full text
Abstract:
La couche Infrastructure- as-a-Service (IaaS) de Cloud Computing offre un service de déploiement des images de machines virtuelles (VMIs) à la demande. Ce service fournit une plate-forme flexible pour les utilisateurs de cloud computing pour développer , déployer et tester leurs applications. Le déploiement d'une VMI implique généralement le démarrage de l'image, l'installation et la configuration des paquets de logiciels. Dans l'approche traditionnelle, lorsqu'un utilisateur de cloud demande une nouvelle plate-forme, le fournisseur de cloud sélectionne une image de modèle approprié pour cloner et déployer sur les nœuds de cloud. L'image de modèle contient des paquets de logiciel pré-installés. Si elle ne correspond pas aux exigences, alors elle sera personnalisée ou la nouvelle image sera créé à partir de zéro pour s'adapter à la demande. Dans le cadre de la gestion des services de cloud, l'approche traditionnelle face aux questions difficiles de la manipulation de la complexité de l'interdépendance entre les paquets de logiciel, mise à l'échelle et le maintien de l' image déployée à l'exécution. Les fournisseurs de cloud souhaitent automatiser ce processus pour améliorer la performance de processus d'approvisionnement des VMIs, et de donner aux utilisateurs de cloud plus de flexibilité pour la sélection ou la création des images appropriées, tout en maximisant les avantages pour les fournisseurs en termes de temps, de ressources et de coût opérationnel. Cette thèse propose une approche pour gérer l'interdépendance des paquets de logiciels, pour modéliser et automatiser le processus de déploiement VMIs, et pour soutenir la reconfiguration VMIS à l'exécution, appelée l'approche dirigée par les modèle (Model-Driven approach). Nous nous adressons particulièrement aux défis suivants: (1) la modélisation de la variabilité des configurations d'image de machine virtuelle , (2) la réduction la quantité de transfert de données à travers le réseau , (3) l'optimisation de la consommation d'énergie des machines virtuelles ; (4) la facilité à utiliser pour les utilisateurs de cloud; (5) l'automatisation du déploiement des VMIs; (6) le support de la mise à l'échelle et la reconfiguration de VMIS à l'exécution ; (7) la manipulation de la topologie de déploiement complexe des VMIs . Dans notre approche, nous utilisons des techniques d'ingénierie dirigée par les modèles pour modéliser les représentations d'abstraction des configurations de VMI, le déploiement et les processus de reconfiguration d'image de machine virtuelle. Nous considérons que les VMIS comme une gamme de produits et utiliser les modèles de caractère pour représenter les configurations de VMIs. Nous définissons également le déploiement , les processus de reconfiguration et leurs facteurs (par exemple: les images de machines virtuelles, les paquets de logiciel, la plate-forme, la topologie de déploiement, etc.) comme les modèles. D'autre part, l'approche dirigée par les modèles s'appuie sur les abstractions de haut niveau de la configuration de VMIs et le déploiement de VMIs pour rendre la gestion d'images virtuelles dans le processus d'approvisionnement pour être plus flexible et plus facile que les approches traditionnelles.
APA, Harvard, Vancouver, ISO, and other styles
6

Ferreira, Leite Alessandro. "A user-centered and autonomic multi-cloud architecture for high performance computing applications." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112355/document.

Full text
Abstract:
Le cloud computing a été considéré comme une option pour exécuter des applications de calcul haute performance. Bien que les plateformes traditionnelles de calcul haute performance telles que les grilles et les supercalculateurs offrent un environnement stable du point de vue des défaillances, des performances, et de la taille des ressources, le cloud computing offre des ressources à la demande, généralement avec des performances imprévisibles mais à des coûts financiers abordables. Pour surmonter les limites d’un cloud individuel, plusieurs clouds peuvent être combinés pour former une fédération de clouds, souvent avec des coûts supplémentaires légers pour les utilisateurs. Une fédération de clouds peut aider autant les fournisseurs que les utilisateurs à atteindre leurs objectifs tels la réduction du temps d’exécution, la minimisation des coûts, l’augmentation de la disponibilité, la réduction de la consommation d’énergie, pour ne citer que ceux-Là. Ainsi, la fédération de clouds peut être une solution élégante pour éviter le sur-Approvisionnement, réduisant ainsi les coûts d’exploitation en situation de charge moyenne, et en supprimant des ressources qui, autrement, resteraient inutilisées et gaspilleraient ainsi de énergie. Cependant, la fédération de clouds élargit la gamme des ressources disponibles. En conséquence, pour les utilisateurs, des compétences en cloud computing ou en administration système sont nécessaires, ainsi qu’un temps d’apprentissage considérable pour maîtrises les options disponibles. Dans ce contexte, certaines questions se posent: (a) Quelle ressource du cloud est appropriée pour une application donnée? (b) Comment les utilisateurs peuvent-Ils exécuter leurs applications HPC avec un rendement acceptable et des coûts financiers abordables, sans avoir à reconfigurer les applications pour répondre aux normes et contraintes du cloud ? (c) Comment les non-Spécialistes du cloud peuvent-Ils maximiser l’usage des caractéristiques du cloud, sans être liés au fournisseur du cloud ? et (d) Comment les fournisseurs de cloud peuvent-Ils exploiter la fédération pour réduire la consommation électrique, tout en étant en mesure de fournir un service garantissant les normes de qualité préétablies ? À partir de ces questions, la présente thèse propose une solution de consolidation d’applications pour la fédération de clouds qui garantit le respect des normes de qualité de service. On utilise un système multi-Agents pour négocier la migration des machines virtuelles entre les clouds. En nous basant sur la fédération de clouds, nous avons développé et évalué une approche pour exécuter une énorme application de bioinformatique à coût zéro. En outre, nous avons pu réduire le temps d’exécution de 22,55% par rapport à la meilleure exécution dans un cloud individuel. Cette thèse présente aussi une architecture de cloud baptisée « Excalibur » qui permet l’adaptation automatique des applications standards pour le cloud. Dans l’exécution d’une chaîne de traitements de la génomique, Excalibur a pu parfaitement mettre à l’échelle les applications sur jusqu’à 11 machines virtuelles, ce qui a réduit le temps d’exécution de 63% et le coût de 84% par rapport à la configuration de l’utilisateur. Enfin, cette thèse présente un processus d’ingénierie des lignes de produits (PLE) pour gérer la variabilité de l’infrastructure à la demande du cloud, et une architecture multi-Cloud autonome qui utilise ce processus pour configurer et faire face aux défaillances de manière indépendante. Le processus PLE utilise le modèle étendu de fonction avec des attributs pour décrire les ressources et les sélectionner en fonction des objectifs de l’utilisateur. Les expériences réalisées avec deux fournisseurs de cloud différents montrent qu’en utilisant le modèle proposé, les utilisateurs peuvent exécuter leurs applications dans un environnement de clouds fédérés, sans avoir besoin de connaître les variabilités et contraintes du cloud<br>Cloud computing has been seen as an option to execute high performance computing (HPC) applications. While traditional HPC platforms such as grid and supercomputers offer a stable environment in terms of failures, performance, and number of resources, cloud computing offers on-Demand resources generally with unpredictable performance at low financial cost. Furthermore, in cloud environment, failures are part of its normal operation. To overcome the limits of a single cloud, clouds can be combined, forming a cloud federation often with minimal additional costs for the users. A cloud federation can help both cloud providers and cloud users to achieve their goals such as to reduce the execution time, to achieve minimum cost, to increase availability, to reduce power consumption, among others. Hence, cloud federation can be an elegant solution to avoid over provisioning, thus reducing the operational costs in an average load situation, and removing resources that would otherwise remain idle and wasting power consumption, for instance. However, cloud federation increases the range of resources available for the users. As a result, cloud or system administration skills may be demanded from the users, as well as a considerable time to learn about the available options. In this context, some questions arise such as: (a) which cloud resource is appropriate for a given application? (b) how can the users execute their HPC applications with acceptable performance and financial costs, without needing to re-Engineer the applications to fit clouds' constraints? (c) how can non-Cloud specialists maximize the features of the clouds, without being tied to a cloud provider? and (d) how can the cloud providers use the federation to reduce power consumption of the clouds, while still being able to give service-Level agreement (SLA) guarantees to the users? Motivated by these questions, this thesis presents a SLA-Aware application consolidation solution for cloud federation. Using a multi-Agent system (MAS) to negotiate virtual machine (VM) migrations between the clouds, simulation results show that our approach could reduce up to 46% of the power consumption, while trying to meet performance requirements. Using the federation, we developed and evaluated an approach to execute a huge bioinformatics application at zero-Cost. Moreover, we could decrease the execution time in 22.55% over the best single cloud execution. In addition, this thesis presents a cloud architecture called Excalibur to auto-Scale cloud-Unaware application. Executing a genomics workflow, Excalibur could seamlessly scale the applications up to 11 virtual machines, reducing the execution time by 63% and the cost by 84% when compared to a user's configuration. Finally, this thesis presents a product line engineering (PLE) process to handle the variabilities of infrastructure-As-A-Service (IaaS) clouds, and an autonomic multi-Cloud architecture that uses this process to configure and to deal with failures autonomously. The PLE process uses extended feature model (EFM) with attributes to describe the resources and to select them based on users' objectives. Experiments realized with two different cloud providers show that using the proposed model, the users could execute their application in a cloud federation environment, without needing to know the variabilities and constraints of the clouds
APA, Harvard, Vancouver, ISO, and other styles
7

Wrede, Fredrik. "An Explorative Parameter Sweep: Spatial-temporal Data Mining in Stochastic Reaction-diffusion Simulations." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280287.

Full text
Abstract:
Stochastic reaction-diffusion simulations has become an efficient approach for modelling spatial aspects of intracellular biochemical reaction networks. By accounting for intrinsic noise due to low copy number of chemical species, stochastic reaction-diffusion simulations have the ability to more accurately predict and model biological systems. As with many simulations software, exploration of the parameters associated with the model can be needed to yield new knowledge about the underlying system. The exploration can be conducted by executing parameter sweeps for a model. However, with little or no prior knowledge about the modelled system, the effort for practitioners to explore the parameter space can get overwhelming. To account for this problem we perform a feasibility study on an explorative behavioural analysis of stochastic reaction-diffusion simulations by applying spatial-temporal data mining to large parameter sweeps. By reducing individual simulation outputs into a feature space involving simple time series and distribution analytics, we were able to find similar behaving simulations after performing an agglomerative hierarchical clustering.
APA, Harvard, Vancouver, ISO, and other styles
8

Lebedeva, A. O. "Cloud computing." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33692.

Full text
Abstract:
Cloud Computing is a revolution that will define IT in the second decade of the 21st Century. It have become the basis for radical business innovation and new business models, and for significant improvements in the effectiveness of anyone using information technology. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/33692
APA, Harvard, Vancouver, ISO, and other styles
9

Begic, Dina. "Cloud Computing." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5697/.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Matteazzi, Piergiorgio <1969&gt. "Cloud computing." Master's Degree Thesis, Università Ca' Foscari Venezia, 2015. http://hdl.handle.net/10579/6952.

Full text
Abstract:
L’obiettivo della tesi è valutare il Cloud Computing dal punto di vista dei vantaggi/svantaggi che le aziende possono trarne, e quali motivi rallentano la diffusione di tale tecnologia. Il cloud computing è da anni un argomento di discussione e analisi nel mondo accademico e dell’Information Technology. Sono state date definizioni che con l’evoluzione tecnologica degli strumenti a disposizione dei Provider si sono ampliate e consolidate. La sua natura di servizio non chiaramente localizzato ha generato diverse problematiche, non solo a livello tecnologico ma anche a livello legale (dei problemi legali non ci siamo occupati specificamente, ma li citiamo in quanto causa di frizioni nell’adozione di tale tecnologia). Per esempio all’interno della comunità economica, al fine di stimolare l’adozione del cloud computing, si sta promuovendo un processo per uniformare la normativa sulla proprietà dei dati. Alcune grosse aziende come CISCO, per ovviare alla inadeguatezza della normativa, inseriscono nel contratto di cloud clausule dove si assumono i rischi derivanti dalle diverse normative presenti ove i dati vengono collocati. Partendo dalla definizione, analizzando l’implementazione nonchè l’evoluzione degli strumenti a disposizione di chi programma in questo ambito, ci si rende conto quanto questo paradigma sia in evoluzione, e quanto ancora possa crescere. Si sta facendo un grande lavoro sia sulla virtualizzazione delle reti, sia sulle tecnologie di storage, che in futuro permetteranno con la diffusione della banda larga, di superare determinati limiti ad oggi presenti in determinati ambiti del Cloud, favorendone la diffusione e l’utilizzo. Dallo sviluppo e analisi svolta, si evidenzia come il paradigma cloud sia altamente modulabile rispetto alle esigenze aziendali proprio per le numerose opzioni e soluzioni tecnologiche, software e gestionali. Di seguito si riassumono gli elementi di vantaggio/svantaggio rilevabili nel paradigma cloud.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Features of cloud computing"

1

Ye, Kejiang, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2021. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96326-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Luo, Min, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94295-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Da Silva, Dilma, Qingyang Wang, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Zhang, Qi, Yingwei Wang, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59635-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ye, Kejiang, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2022. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23498-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Luo, Min, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2023. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51709-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Wang, Yang, and Liang-Jie Zhang, eds. CLOUD Computing – CLOUD 2024. Springer Nature Switzerland, 2025. http://dx.doi.org/10.1007/978-3-031-77153-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Khosravi, Mohammad R., Qiang He, and Haipeng Dai, eds. Cloud Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99191-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Avresky, Dimiter R., Michel Diaz, Arndt Bode, Bruno Ciciani, and Eliezer Dekel, eds. Cloud Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12636-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Reinheimer, Stefan, ed. Cloud Computing. Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-20967-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Features of cloud computing"

1

Sehgal, Naresh Kumar, and Pramod Chandra P. Bhatt. "Features of Private and Public Clouds." In Cloud Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77839-6_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sehgal, Naresh Kumar, Pramod Chandra P. Bhatt, and John M. Acken. "Features of Private and Public Cloud." In Cloud Computing with Security. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24612-9_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Khan, Nawsher, Ahmad Noraziah, Mustafa Mat Deris, and Elrasheed I. Ismail. "CLOUD COMPUTING: Comparison of Various Features." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22603-8_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Zhuo, Yi-Fan, and Yi-Lei Wang. "Multilevel Features Fusion in Deep Convolutional Neural Networks." In Cloud Computing and Security. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00021-9_53.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Liu, Qi, Hao Wu, Xiaodong Liu, and Nigel Linge. "Single Appliance Recognition Using Statistical Features Based k-NN Classification." In Cloud Computing and Security. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68542-7_54.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Wang, Yanhong, Linna Zhang, Yigang Cen, Ruizhen Zhao, Tingting Chai, and Yi Cen. "Composite Descriptors and Deep Features Based Visual Phrase for Image Retrieval." In Cloud Computing and Security. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00021-9_43.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Sehgal, Naresh Kumar, Pramod Chandra P. Bhatt, and John M. Acken. "Features of Private and Public Cloud." In Cloud Computing with Security and Scalability. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07242-0_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Dhanda, Namrata, and Bramah Hazela. "A Transition from Cloud to Fog Computing: Identifying Features, Challenges and the Future." In Applications of Cloud Computing. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781003025696-10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Li, Ping, Qiang Chen, Wen Fan, and Songtao Yuan. "Registration of OCT Fundus Images with Color Fundus Images Based on Invariant Features." In Cloud Computing and Security. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68542-7_40.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Shang, Yaoyao, Shuangmao Yang, and Wei Wang. "Botnet Detection with Hybrid Analysis on Flow Based and Graph Based Features of Network Traffic." In Cloud Computing and Security. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00009-7_55.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Features of cloud computing"

1

Abebe, Waqwoya, Pablo Munoz, and Ali Jannesari. "Improving Federated Learning Through Low-Entropy Client Sampling Based on Learned High-Level Features." In 2024 IEEE 17th International Conference on Cloud Computing (CLOUD). IEEE, 2024. http://dx.doi.org/10.1109/cloud62652.2024.00013.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sharma, Kanta Prasad, Girish Paliwal, Deepshikha Bhargava, Vijay Mohan Shrimal, and Ashish Kumar. "Critical Review: Fog Computing Dimensions for Data Security Features Cloud-Based Applications." In 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG). IEEE, 2024. https://doi.org/10.1109/ictbig64922.2024.10911070.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Shi, Chun Yan, Lin Fu, Shuai Kang Liu, Feng Xue, Fei Ya Ye, and Dong Li. "Lstm-Based UAV and Bird Classification Method for Multidimensional Track Features." In 2025 10th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2025. https://doi.org/10.1109/icccbda64898.2025.11030466.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Du, Wei, Meiguo Ke, Kai Jin, Shu Tan, Dacheng He, and Kuan-Ching Li. "TGeoYOLO: Leveraging Multi-Scale Features and Enhanced Loss for Remote Sensing Detection." In 2024 IEEE 10th International Conference on Edge Computing and Scalable Cloud (EdgeCom). IEEE, 2024. http://dx.doi.org/10.1109/edgecom62867.2024.00027.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Zhu, Zitao, Dafeng Zhao, and Nengbo Zhang. "Ensemble Clustering Algorithm Based on Cluster Space Features Under Local Differential Privacy." In 2025 10th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2025. https://doi.org/10.1109/icccbda64898.2025.11030503.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ye, Dandan. "Reversible Data Hiding for Clustering Based on Pixel Texture Features." In 2024 3rd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE). IEEE, 2024. https://doi.org/10.1109/cbase64041.2024.10824492.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Al-Ahmad, Ahmad Salah, and Hasan Kahtan. "Cloud Computing Review: Features And Issues." In 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE). IEEE, 2018. http://dx.doi.org/10.1109/icscee.2018.8538387.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Munhoz, Vanderlei, and Márcio Castro. "HPC@Cloud: A Provider-Agnostic Software Framework for Enabling HPC in Public Cloud Platforms." In Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2022. http://dx.doi.org/10.5753/wscad.2022.226528.

Full text
Abstract:
The cloud computing paradigm democratized compute infrastructure access to millions of resource-strained organizations, applying economics of scale to massively reduce infrastructure costs. In the High Performance Computing (HPC) context, the benefits of using public cloud resources make it an attractive alternative to expensive on-premises clusters, however there are several challenges and limitations. In this paper, we present HPC@Cloud: a provideragnostic software framework that comprises a set of key software tools to assist in the migration, test and execution of HPC applications in public clouds. HPC@Cloud allows the HPC community to benefit from readily available public cloud resources with minimum efforts and features an empirical approach for estimating cloud infrastructure costs for HPC workloads. We also provide an experimental analysis of HPC@Cloud on two public clouds: Amazon AWS and Vultr Cloud.
APA, Harvard, Vancouver, ISO, and other styles
9

Tirlioglu, Anil, Omer Bayram Demir, Alper Yazar, and Ece Guran Schmidt. "Hardware Accelerators for Cloud Computing: Features and Implementation." In 2021 29th Signal Processing and Communications Applications Conference (SIU). IEEE, 2021. http://dx.doi.org/10.1109/siu53274.2021.9478015.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Neves, Pedro Caldeira, Bradley Schmerl, Javier Cámara, and Jorge Bernardino. "Big Data in Cloud Computing: Features and Issues." In International Conference on Internet of Things and Big Data. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005846303070314.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Features of cloud computing"

1

Solovyanenko, Nina I. Legal features of innovative (digital) entrepreneurship in the agricultural and food sector. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70008.

Full text
Abstract:
Modern agricultural production and food trade are involved in the process of digital transformation, which is a cardinal factor of sustainable development and is carried out on the basis of IT platforms, the Internet of Things, cloud computing, big data, artificial intelligence, blockchain technologies. The COVID-19 pandemic has increased the dependence of these sectors of the economy on information and communication technology infrastructure and services. At the same time, the slow updating of legislation, which lags behind the constantly improving digital technologies, not only hinders their implementation, but also is a source of a number of social and legal problems. A modern regulatory framework based on digital strategies should strengthen "smart agriculture". In Russia, the legal mechanism of digital transformation and development of the national platform "Digital Agriculture" should be supported by updated basic legislation.
APA, Harvard, Vancouver, ISO, and other styles
2

Iatsyshyn, Anna V., Valeriia O. Kovach, Yevhen O. Romanenko, and Andrii V. Iatsyshyn. Cloud services application ways for preparation of future PhD. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3248.

Full text
Abstract:
Currently, it is important in Ukraine to harmonize cloud technologies application with European and world scientific initiatives. Need to modernize preparation of future PhDs is caused by challenges of new information, globalized society and digital transformation of all spheres of life, including education and science. The research was aimed to determine features of cloud services application in preparation of future PhDs. Concepts of “cloud computing”, “cloud technologies”, “cloud learning technologies”, “cloud services”, “cloud oriented environment” were analyzed. Experience of cloud technologies and their services application in educational and scientific space in researches of foreign and Ukrainian students was considered. Ukrainian experience in preparation of future PhD of various specialties with cloud services application was analyzed. It was emphasized that approaches improving to preparation of future PhDs based on cloud services application would increase their level of digital competence. It is recommended to include a separate course or module of specific discipline on work with cloud technologies and services during preparation of future PhDs. It is important to improve disciplines and tools content to support education process. It can be learning of disciplines using cloud technologies or services by future PhD’s. Also, cloud services application to support scientific and scientific-organizational activities will increase level of organization and implementation of scientific research. It is important to create cloud-oriented environment for preparation of future PhDs in higher education and research institutions. Making cloud-oriented educational and scientific environment should be based on principles of open education. It is recommended to use cloud-based platforms and services (G Suite for Education; Microsoft Office 365; specialized SaaS (CoCalc or other)).
APA, Harvard, Vancouver, ISO, and other styles
3

Proskura, Svitlana L., and Svitlana H. Lytvynova. The approaches to Web-based education of computer science bachelors in higher education institutions. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3892.

Full text
Abstract:
The problem of organizing of Web-based education of bachelors, and the bachelors of computer science in particular, is relevant for higher education institutions. The IT industry puts forward new requirements for future IT professionals training. This, in its turn, requires the educational process modernization: content specification, updating of forms, methods and means of training to meet the demands of socio-economic development of the society in general and bachelors of computer science in particular. The article analyzes and clarifies the notion of Web-based education of bachelors; as well as a line of approaches, such as approaches to the organization of Web-based learning for A La Carte, Station Rotation, Lab Rotation, Individual Rotation, Flipped Learning scenario; the necessity of cloud computing and virtual classroom use as a component of Web-based learning is substantiated. It is established that with the advent of a large number of cloud-based services, augmented and virtual realities, new conditions are created for the development of skills to work with innovative systems. It is noted that the implementation of the approaches to the organization of student Web-based education is carried out on international level, in such projects as Erasmus+ “Curriculum for Blended Learning” and “Blended learning courses for teacher educators between Asia and Europe”. The article features the results of programming students survey on the use of Web-based technologies while learning, namely the results of a new approach to learning organization according to the formula – traditional (30%), distance (50%) and project (20%) training.
APA, Harvard, Vancouver, ISO, and other styles
4

Cully, John, and Susie Wright. Cloud computing. Parliamentary Office of Science and Technology, 2020. http://dx.doi.org/10.58248/pn629.

Full text
Abstract:
Cloud computing refers to the delivery of computing services on-demand over the internet. This POSTnote describes the different types of cloud computing before outlining issues relating to security, regulation, energy use and barriers to the adoption of this technology.
APA, Harvard, Vancouver, ISO, and other styles
5

Weber, Arnd, ed. Impacts of Cloud Computing (STOA Cloud Computing Del.3). Self, 2014. http://dx.doi.org/10.1553/ita-pb-a65-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Weber, Arnd, ed. Foundations of Cloud Computing (STOA Cloud Computing Del.2). Self, 2014. http://dx.doi.org/10.1553/ita-pb-a65-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Takai, Teresa M. Cloud Computing Strategy. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada563989.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Hochstein, Lorin. High Performance Computing (HPC) Innovation Service Portal Pilots Cloud Computing (HPC-ISP Pilot Cloud Computing). Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada549202.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Seybold, Patricia. Cloud Computing in 2015. Patricia Seybold Group, 2013. http://dx.doi.org/10.1571/ta12-13-13cc.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Kim, Anya, and Ira S. Moskowitz. Incentivized Cloud Computing: A Principal Agent Solution to the Cloud Computing Dilemma. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada530441.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Features of cloud computing' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography