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Journal articles on the topic 'Cloud networking'

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1

Kim, Jonghun, Hector John T. Manaligod, Jieun Lee, and Sunmoon Jo. "Cloud Networking Computing." Wireless Personal Communications 105, no. 2 (February 18, 2019): 399–404. http://dx.doi.org/10.1007/s11277-019-06152-0.

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Huedo, Eduardo, Ruben S. Montero, Rafael Moreno, Ignacio M. Llorente, Anna Levin, and Philippe Massonet. "Interoperable Federated Cloud Networking." IEEE Internet Computing 21, no. 5 (2017): 54–59. http://dx.doi.org/10.1109/mic.2017.3481337.

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Yousif, Mazin. "Networking and the Cloud." IEEE Cloud Computing 3, no. 3 (May 2016): 6–7. http://dx.doi.org/10.1109/mcc.2016.53.

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Sill, Alan. "Standards Underlying Cloud Networking." IEEE Cloud Computing 3, no. 3 (May 2016): 76–80. http://dx.doi.org/10.1109/mcc.2016.55.

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Boutaba, Raouf, Noura Limam, Stefano Secci, and Tarik Taleb. "Cloud networking and communications." Computer Networks 68 (August 2014): 1–4. http://dx.doi.org/10.1016/j.comnet.2014.05.012.

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Perros, Harry, Ioannis Papapanagiotou, and Guy Pujolle. "Cloud communications and networking." Annals of Telecommunications 73, no. 3-4 (March 26, 2018): 165–67. http://dx.doi.org/10.1007/s12243-018-0630-y.

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Baucke, Stephan, Racha Ben Ali, and James Kempf. "CLOUD ATLAS: A SOFTWARE DEFINED NETWORKING ABSTRACTION FOR CLOUD TO WAN VIRTUAL NETWORKING." Services Transactions on Cloud Computing 2, no. 2 (April 2014): 1–14. http://dx.doi.org/10.29268/stcc.2014.0004.

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Baucke, Stephan, Racha Ben Ali, and James Kempf. "CLOUD ATLAS: A SOFTWARE DEFINED NETWORKING ABSTRACTION FOR CLOUD TO WAN VIRTUAL NETWORKING." Services Transactions on Cloud Computing 2, no. 2 (April 2014): 1–14. http://dx.doi.org/10.29268/stcc.2014.2.2.1.

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Wang, Xiaonan. "IPv6-Based Vehicular Cloud Networking." IEEE Communications Letters 19, no. 6 (June 2015): 933–36. http://dx.doi.org/10.1109/lcomm.2015.2422703.

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Langar, Rami, Bechir Hamdaoui, Mario Gerla, and Raouf Boutaba. "Guest Editorial “Vehicular Cloud Networking”." Vehicular Communications 4 (April 2016): 38. http://dx.doi.org/10.1016/j.vehcom.2016.05.002.

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Boutaba, Raouf, Nelson Fonseca, Dzmitry Kliazovich, and Noura Limam. "Cloud networking and communications II." Computer Networks 93 (December 2015): 405–7. http://dx.doi.org/10.1016/j.comnet.2015.10.001.

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Khasnabish, Bhumip, Dijiang Huang, Xiaoying Bai, Paolo Bellavista, Gregorio Martinez, and Nick Antonopoulos. "Cloud Computing, Networking, and Services." Journal of Network and Systems Management 20, no. 4 (September 9, 2012): 463–67. http://dx.doi.org/10.1007/s10922-012-9254-0.

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Teng, Rui, Toshikazu Sakano, and Yoshinori Suzuki. "Instantaneous Networking Service Availability for Disaster Recovery." Applied Sciences 10, no. 24 (December 17, 2020): 9030. http://dx.doi.org/10.3390/app10249030.

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Networking services may be broken down in a disaster situation while people in the disaster area(s) strongly demand networking services for both communication and information sharing among users. This requires the fast restoration of networking services to fulfil the demand–supply gap. Although there are a number of studies on restoring communication and networking in disasters, few studies have explicitly examined the service availability during the temporary and partial recovery process of network restoration. From the perspective of users in the disaster area, it is important to be able to communicate or share information with people whenever they want/need to do so. Therefore, partial and local recovery of the networking services also plays an important role for improving service availability in the disaster situations. To assess the restoration effectiveness of networking services with a measure of user satisfaction level, we propose to use instant networking service availability (I-NSA), a novel metric, and we examine the effectiveness of networking service restoration solutions using the metric. I-NSA allows us to clearly express the instant availability of networking services that drastically changes with the elapsed time from the disaster occurrence in disaster areas. This paper examines the effective improvement of I-NSA when Local-and-Instant Clouds (LI-Clouds) are applied to the disaster situation. LI-Cloud has been designed and practically developed to provide deployable networking services to users. We verify that LI-Cloud enables significant improvement on the I-NSA performance in the fast restoration of networking services.
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Thapliyal, Shivankur. "A Newly Proposed Prospective and Robust Computer Networking Model Architecture Based on the Infrastructure of Cloud Computing Contrivance." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (September 30, 2021): 331–37. http://dx.doi.org/10.22214/ijraset.2021.37901.

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Abstract: Computer Networking Play’s a major role for data communication or data sharing and data transmissions from one location to another, which are geographically differ, but in today’s scenario where the main and primary major concerns are not to data transfer but also utilize all resources with greater efficiency and also preserves the confidentiality and integrity of the messages with respect to speed and time with lower Bandwidth and also consume a very low computational costs with low power supply and redirect to optimality. Cloud Computing also play’s a significant role to access data at geographically different locations. So In this paper we create a fusion of Computer Networking Architecture and Cloud Computing Architecture and released a very much superior fundamentally strong Cloud computing based Computer Networking model, which works on the concepts of ‘Virtualization’. Because when the number of hardware components (Servers) drastically increases all factors which are responsible to make possible networking among nodes are also consume each resources at extreme level, and networking becomes complex and slow, that’s why we used the concept of Virtual Machine. In this paper we proposed a Computer Networking model using the concepts of Cloud Computing. This model also suitable for data transmission but also take concern the most significant feature of Computer Networking, which is Data Security. This model also used some Proxy servers/ firewalls to take concern some security mechanisms. In this paper we also proposed Communication Oriented model among the Intercluster domains that how one node which belongs to another CLOUD cluster make possible communication among other InterCLOUD clusters with respect to data security measures. In this paper we proposed three models related to this networking model, which is CLOUD Networking Infrastructure, Connection Oriented model, Communication Oriented model. The detailed description of all three models are in the upcoming sections of this paper. Keywords: Cloud computing based computer networking model, A virtual model for computer networking, Computer Networking model based on virtualization, Virtualization based computer networking model.
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Sfiligoi, Igor, John Graham, and Frank Wuerthwein. "Characterizing network paths in and out of the clouds." EPJ Web of Conferences 245 (2020): 07059. http://dx.doi.org/10.1051/epjconf/202024507059.

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Commercial Cloud computing is becoming mainstream, with funding agencies moving beyond prototyping and starting to fund production campaigns, too. An important aspect of any scientific computing production campaign is data movement, both incoming and outgoing. And while the performance and cost of VMs is relatively well understood, the network performance and cost is not. This paper provides a characterization of networking in various regions of Amazon Web Services, Microsoft Azure and Google Cloud Platform, both between Cloud resources and major DTNs in the Pacific Research Platform, including OSG data federation caches in the network backbone, and inside the clouds themselves. The paper contains both a qualitative analysis of the results as well as latency and peak throughput measurements. It also includes an analysis of the costs involved with Cloud-based networking.
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Aziz, Israa T., and Ihsan H. Abdulqadder. "An Overview on SDN and NFV Security Orchestration in Cloud Network Environment." Cihan University-Erbil Scientific Journal 5, no. 1 (June 20, 2021): 20–27. http://dx.doi.org/10.24086/cuesj.v5n1y2021.pp20-27.

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Cloud networks are being used in most industries and applications in the current era. Software-defined networking has come up as an alternative tool and mechanism to follow and implement in a cloud networking environment in place of the traditional networking approaches. This paper includes the security aspects of computer networking concerning the cloud networking environment and software-defined networks. The security risks and vulnerabilities have been listed and described in this work, and the measures that may be adapted to detect, prevent, and control the same. The use of figures, diagrams, and codes has been done as applicable.
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Stupnytskyy, O., and S. Solyanyk. "CLOUD TECHNOLOGIES DEVELOPMENT IN MODERN INFORMATION-NETWORKING ECONOMY." Actual Problems of International Relations, no. 133 (2017): 106–16. http://dx.doi.org/10.17721/apmv.2017.133.0.106-116.

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In recent years, cloud computing has ceased to be exotic in the field of entrepreneurial activity. More companies are moving their business processes to a virtual environment. "Clouds" become the place where information is stored, processed and from which it is transmitted instantaneously to any place in the world, the time for making business-decisions is shortened, and "paper technologies" disappear. The creation of a unified world network market economy - geo-economics and its infrastructure - is based on repeatedly increasing both the scale of information flows and the volumes of created digital content. Currently, cloud computing is used in various spheres of economic and commercial activities, from education and medicine to banking and service sector. Flexibility and availability of resources makes cloud computing ideal for business structures that have to respond to changing business needs more quickly and cope with current tasks more effectively. The SaaS (Software as a Service) market is developing rapidly, new services that are designed to simplify the life of industry businesses are opening every day, so very soon none of the trading enterprises will be able to do without this business tool. In this case, all cloud models – public, private or hybrid – have advantages and technical characteristics that are attractive to different organizations depending on their needs. In addition to corporate business, this service is of interest to small and medium-sized businesses – to those companies that do not have their own qualified system administrators, companies from the service sector – beauty salons, car services, small shops, transport companies, and others enterprises that are not related to IT.
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Rajani, Rajani, and Dr Anand Prakash. "A Survey of Cloud Computing and Social Networking Sites." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (December 31, 2017): 1627–33. http://dx.doi.org/10.31142/ijtsrd8369.

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Mathur, Mohit, Mamta Madan, and Kavita Chaudhary. "A Satiated Method for Cloud Traffic Classification in Software Defined Network Environment." International Journal of Cloud Applications and Computing 6, no. 2 (April 2016): 64–79. http://dx.doi.org/10.4018/ijcac.2016040107.

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With the advent of new technologies like software defined networking, cloud computing and Internet of Things, everything needs to be redefined. Software Define Networking (SDN) is the latest approach and an emerging network technology that will bring a major change in the area of networking. Though SDN has been successfully applied to most of the networking area but traffic classification is the area where it is yet to be applied. With the high adoption of cloud services, the traffic on cloud increased rapidly. The technologies need to be clubbed together so that they can survive in the rapidly changing environment. The paper aims at addressing the cloud traffic classification using Differential Services Code Point (DSCP) marking in software defined network environment. This allows us to identify cloud traffic separately from other web services and helps its traffic flows to be provided with special treatment over other internet services. The paper aims to classify cloud traffic along with suggesting some marking schemes to prioritize cloud traffic using DSCP of IP header.
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KAKI LEELA, PRASAD, and ANUSHA PILAKA. "IMPLEMENTING PRESERVED ACCESS OF CLOUD NETWORKING." i-manager’s Journal on Cloud Computing 4, no. 1 (2017): 8. http://dx.doi.org/10.26634/jcc.4.1.13753.

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Mishra, Amitabh, Raj Jain, and Arjan Durresi. "Cloud computing: networking and communication challenges." IEEE Communications Magazine 50, no. 9 (September 2012): 24–25. http://dx.doi.org/10.1109/mcom.2012.6295707.

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Mishra, Amitabh. "Cloud networking and communications [Guest Editorial]." IEEE Communications Magazine 51, no. 11 (November 2013): 22–23. http://dx.doi.org/10.1109/mcom.2013.6658647.

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Qu, Xiao Yuan, Feng Zhang, and Hui Feng Xue. "Research on New Algorithm of Network Topology Design Based on Cloud Integration." Applied Mechanics and Materials 190-191 (July 2012): 360–63. http://dx.doi.org/10.4028/www.scientific.net/amm.190-191.360.

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Analyzed integrated logical structure of the cloud, back-end cloud computing systems, tens of thousands of servers, how to organize such a large number of servers is the cloud computing system efficient and stable operation of one of the key issues. We surveyed the requirement of cloud computing networking. Analyzed the architecture of cloud computing networking topology, and thought that the networking topology should be composed of two parts the center switch trunk and some tree shape branch subnet. Then we proposed the Self Adaptive Algorithm for the center swish trunk’s topology design based on the graph theory, optimization theory and classic greedy algorithm. Finally we do some experiments and comparison to verify the algorithm’s usability and advantages.
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Liu, Ji. "Optimization and Management in Order to Drive Targeted Networking Memory Database." Applied Mechanics and Materials 727-728 (January 2015): 965–68. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.965.

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In today's vehicle networking system architecture is mainly composed of four parts: sensor networks, wireless communication networks, cloud computing platforms and vehicle terminal. Wireless sensor network is responsible for the front of the real-time collection of traffic information, a wireless communication network to send information to the backend of the cloud computing platform, cloud computing platform to handle a large number of vehicles to collect real-time information from the front, and finally sends the information to the end user. In this thesis, this car networking research background, analyze vehicle networking system architecture consisting of performance indicators for each part of the system recognize cloud platform for large data processing efficiency as well as room for improvement. Then put forward the traditional computing platform I / O disk database with in-memory database to replace the cloud to enhance cloud computing platform for large data processing efficiency.
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Benomar, Zakaria, Francesco Longo, Giovanni Merlino, and Antonio Puliafito. "Cloud-based Network Virtualization in IoT with OpenStack." ACM Transactions on Internet Technology 22, no. 1 (February 28, 2022): 1–26. http://dx.doi.org/10.1145/3460818.

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In Cloud computing deployments, specifically in the Infrastructure-as-a-Service (IaaS) model, networking is one of the core enabling facilities provided for the users. The IaaS approach ensures significant flexibility and manageability, since the networking resources and topologies are entirely under users’ control. In this context, considerable efforts have been devoted to promoting the Cloud paradigm as a suitable solution for managing IoT environments. Deep and genuine integration between the two ecosystems, Cloud and IoT, may only be attainable at the IaaS level. In light of extending the IoT domain capabilities’ with Cloud-based mechanisms akin to the IaaS Cloud model, network virtualization is a fundamental enabler of infrastructure-oriented IoT deployments. Indeed, an IoT deployment without networking resilience and adaptability makes it unsuitable to meet user-level demands and services’ requirements. Such a limitation makes the IoT-based services adopted in very specific and statically defined scenarios, thus leading to limited plurality and diversity of use cases. This article presents a Cloud-based approach for network virtualization in an IoT context using the de-facto standard IaaS middleware, OpenStack, and its networking subsystem, Neutron. OpenStack is being extended to enable the instantiation of virtual/overlay networks between Cloud-based instances (e.g., virtual machines, containers, and bare metal servers) and/or geographically distributed IoT nodes deployed at the network edge.
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Yasodha K, M. Shabitha Sree, Krishna Sri. S, Kirubha Shakthi. J, Karthick. K, and Kanishka. N. "Networking in Cloud Computing: Embracing Contests and Seizing Prospects." International Journal of Scientific Research in Science, Engineering and Technology 11, no. 3 (May 15, 2024): 53–63. http://dx.doi.org/10.32628/ijsrset241138.

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Cloud computing presents the concept of utility computing, which allows users to access computing, storage, and networking resources as needed, with a usage-based pricing model. However, consumers have limited control over network resources, and cloud-computing providers confront a number of issues when operating infrastructure as a service (IaaS) environments. This research investigates the networking difficulties and federation challenges inherent in IaaS, as well as unique software-defined networking (SDN) concepts that could provide efficient solutions for future deployments.
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Lim, Sang Boem, Joon Woo, and Guohua Li. "Performance analysis of container-based networking solutions for high-performance computing cloud." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (April 1, 2020): 1507. http://dx.doi.org/10.11591/ijece.v10i2.pp1507-1514.

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Recently, cloud service providers have been gradually changing from virtual machine-based cloud infrastructures to container-based cloud-native infrastructures that consider performance and workload-management issues. Several data network performance issues for virtual instances have arisen, and various networking solutions have been newly developed or utilized. In this paper, we propose a solution suitable for a high-performance computing (HPC) cloud through a performance comparison analysis of container-based networking solutions. We constructed a supercomputer-based test-bed cluster to evaluate the serviceability by executing HPC jobs.
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Rathod, Meenakshi L., A. Shivaputra, H. Umadevi, K. Nagamani, and Selvakumar Periyasamy. "Cloud Computing and Networking for SmartFarm AgriTech." Journal of Nanomaterials 2022 (June 7, 2022): 1–7. http://dx.doi.org/10.1155/2022/6491747.

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In this paper, the implementation of SmartFarm AgriTech is done using IoT and cloud computing. The current world population is 7.9 billion and supposed to reach 12 billion by 2050, and it is difficult to feed such population in the future. So, for feeding the entire population, the agriculture sector should be embedded with the latest technologies. People living in urban city will be covered with their work and day to day activities which makes it really difficult to travel the village and monitor their cultivation regularly. Without proper maintenance of farms, it is hard to get the desired results, so using the cloud computing, IOT, networking, and many other technologies, one can easily maintain and monitor the crops, weather, water, and spraying fertilizers whenever needed. This SmartFarm AgriTech System is designed using Raspberry Pi and Arduino as the main microcontrollers to control the various sensors, relay-switch, and motor. AWS and ThingSpeak are used to create server and APIs to collect and store the data through Internet or via a Local Area Network (LAN). In addition to that, a GUI (Graphical User Interface) application is also created to control and monitor the data coming from Raspberry Pi and Arduino board.
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Lee, Euisin, Eun-Kyu Lee, Mario Gerla, and Soon Oh. "Vehicular cloud networking: architecture and design principles." IEEE Communications Magazine 52, no. 2 (February 2014): 148–55. http://dx.doi.org/10.1109/mcom.2014.6736756.

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Megino, F. Barreiro, K. De, A. Di Girolamo, T. Maeno, and R. Walker. "ATLAS WORLD-cloud and networking in PanDA." Journal of Physics: Conference Series 898 (October 2017): 052011. http://dx.doi.org/10.1088/1742-6596/898/5/052011.

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31

Basak, Debashis, Rohit Toshniwal, Serge Maskalik, and Allwyn Sequeira. "Virtualizing networking and security in the cloud." ACM SIGOPS Operating Systems Review 44, no. 4 (December 13, 2010): 86–94. http://dx.doi.org/10.1145/1899928.1899939.

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Weinman, Joe. "The Economics of Networking and the Cloud." IEEE Cloud Computing 3, no. 3 (May 2016): 12–15. http://dx.doi.org/10.1109/mcc.2016.60.

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Rafaqat Alam Khan. "Routing Protocols Evaluation Review in Simple and Cloud Environment." Lahore Garrison University Research Journal of Computer Science and Information Technology 3, no. 2 (June 28, 2019): 1–8. http://dx.doi.org/10.54692/lgurjcsit.2019.030271.

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In the field of information technology there are many computer jargons like cloud computing Ad-hoc, Software Define Network (SDN), network function virtualization (NFV) , and virtual machine (VM), etc. This review paper is basically a blend of brief study and review of many routing protocols used for Mobile ad hoc Networks (MANET) in the cloud as well as in simple network environment i.e. without cloud computing. This paper would also suggest the different challenges that are facing in cloud computing. The description of the different network simulators used in networking like NS2 tool, Opnet and Cisco packet tracer. The different metrics that are used in the networking are briefly explained. MANET is a group of wireless nodes that do not need centralized controlling entity as it rapidly moveschanges and forms networks to the nearest networking nodes.
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Zheng, Xiangwei. "Networking and Data Storage Mechanism in Blockchain." Highlights in Science, Engineering and Technology 70 (November 15, 2023): 376–84. http://dx.doi.org/10.54097/hset.v70i.13885.

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This paper proposes a blockchain networking scheme based on cloud platform deployment and its adapted data. Firstly, a subnet-based non-all-connection networking scheme is formed, which limits the scope of transaction confirmation to a limited number of nodes. Secondly, the data sharing mechanism of cloud computing divides the data into three levels: transaction data-sensitive state data-non-sensitive state data. The node only saves the transaction data related to the state transition to ensure the non-destructive modification, and the state data is supported by the cloud. The calculated features enable different levels of shared storage, maximizing storage space. The experimental results show that the scheme can provide new ideas for the storage and sharing of trusted data in the blockchain.
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Baldovino, Britanny. "An Overview of the Networking Issues of Cloud Gaming." Journal of Innovation Information Technology and Application (JINITA) 4, no. 2 (December 23, 2022): 120–32. http://dx.doi.org/10.35970/jinita.v4i2.1581.

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With the increasing prevalence of video games comes innovations that aim to evolve them. Cloud gaming is poised as the next phase of gaming. It enables users to play video games on any internet-enabled device. Such improvement could, therefore, enhance the processing power of existing devices and solve the need to spend large amounts of money on the latest gaming equipment. However, others argue that it may be far from being practically functional. Since cloud gaming places dependency on networks, new issues emerge. In relation, this paper is a review of the networking perspective of cloud gaming. Specifically, the paper analyzes its issues and challenges along with possible solutions. In order to accomplish the study, a literature review was performed. Results show that there are numerous issues and challenges regarding cloud gaming networks. Generally, cloud gaming has problems with its network quality of service (QoS) and quality of experience (QoE). The poor QoS and QoE of cloud gaming can be linked to unsatisfactory latency, bandwidth, delay, packet loss, and graphics quality. Moreover, the cost of providing the service and the complexity of implementing cloud gaming were considered challenges. For these issues and challenges, solutions were found. The solutions include lag or latency compensation, compression with encoding techniques, client computing power, edge computing, machine learning, frame adaption, and GPU-based server selection. However, these have limitations and may not always be applicable. Thus, even if solutions exist, it would be beneficial to analyze the networking side of cloud gaming further.
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Jewargi, Kiran. "What is Cloud computing Benfits and challenges of Cloud." Global Journal of Computer Sciences: Theory and Research 13, no. 1 (March 31, 2023): 28–33. http://dx.doi.org/10.18844/gjcs.v13i1.8622.

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Cloud computing provides on-demand delivery of computer resources ranging from, compute, data storage, networking, software, and other IT services over the internet in exchange for pay as you go billing model. The study discusses various types of cloud computing available, cloud computing advantages, cloud computing implementation models, cost-effective IT solution, IT service agility, challenges, and features of cloud computing in this growing digital world. Keywords: cloud, data storage, compute, digital, on-demand billing model.
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Yuan, Xiaoping, Chengxia Shi, and Zhihong Wang. "The Optimization of Hospital Financial Management Based on Cloud Technology and Wireless Network Technology in the Context of Artificial Intelligence." Wireless Communications and Mobile Computing 2022 (May 18, 2022): 1–11. http://dx.doi.org/10.1155/2022/9998311.

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In the reign of Internet technology, cloud technology has emerged as one of the powerful tools in computing with many advantages in the bag. Cloud technology is defined as online access to all types of computing applications. The applications range from access to data, servers, software, databases to storage and retrieval of data. The data can be accessed from anywhere, anytime. The user does not need to own the hardware in this case. Clouds have multiple data centers located at various places. On-demand data service is the best part of cloud technology. This technology is made use in many industries. In this research, we will study how cloud technology and wireless networking technology are applied to optimize hospital financial management. The healthcare industry faces various challenges in financial management such as budgeting, growth planning, and cost-effectiveness. Considering this scenario, it is evident that there is a solid need to optimize its financial management. The cloud computing technology driven by artificial intelligence (AI) is deployed in carrying out repetitive tasks and automation, resulting in increased productivity. In this research, the proposed system uses wireless networking systems and cloud technology to optimize hospital financial management. The model works with the implementation of a hybrid of fuzzy neural networks. The proposed model is analyzed with the existing fuzzy logic and neural network models, and it is found that the proposed model has obtained an accuracy of 97.56% with minimum resources for successful financial management at hospitals.
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Hamze, Mohamad T. "SLA-BASED RESOURCE ALLOCATION WITHIN CLOUD NETWORKING ENVIRONMENT." International Journal of New Computer Architectures and their Applications 5, no. 2 (2015): 61–78. http://dx.doi.org/10.17781/p001827.

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Rana, Juwel, Josef Hallberg, Kåre Synnes, and Johan Kristiansson. "Harnessing the Cloud for Mobile Social Networking Applications." International Journal of Grid and High Performance Computing 2, no. 2 (April 2010): 1–11. http://dx.doi.org/10.4018/jghpc.2010040101.

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The cloud computing model inherently enables information from social networking services (Twitter, Facebook, LinkedIn, and so forth), context-based systems (location, activity, interests, etc.) and personal applications (call logs, contacts, email, calendar, and so forth) to be harnessed for multiple purposes. This article presents an agent-based system architecture for semantic and semi-automated applications that utilize the cloud to enrich and simplify communication services, for instance by displaying presence information, prioritizing information, and dynamically managing groups of users. The proposed architecture is based on the concept of aggregated social graphs, which are created from harnessed information about how people communicate. This article also presents challenges in achieving the envisioned architecture and introduces early prototyping results.
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Olevska, Yu B., V. I. Olevskyi, Ye Ye Sydorenkov, and D. V. Klymenko. "Building cloud-based networking products for school education." CTE Workshop Proceedings 1 (March 21, 2013): 104–5. http://dx.doi.org/10.55056/cte.149.

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In the development and implementation of software tools and networking technologies in secondary schools, the most acute issues are the availability of modern computers and programs, technical support for the performance of information products, providing selective access for students to specific network resources. Traditional methods require, as a rule, the purchase of modern equipment, the introduction of valuable software products and the need to keep a system programmer to support and periodically update them, which sharply narrows the range of educational institutions that can benefit from such activities. In contrast, the methodology proposed by the authors, based on cloud computing technology, overcomes these difficulties while introducing students to the most promising areas of modern information product development.
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Toy, Mehmet. "Intent-based Networking for Connectivity and Cloud Services." Advances in Networks 9, no. 1 (2021): 19. http://dx.doi.org/10.11648/j.net.20210901.12.

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Filer, Mark, Jamie Gaudette, Monia Ghobadi, Ratul Mahajan, Tom Issenhuth, Buddy Klinkers, and Jeff Cox. "Elastic Optical Networking in the Microsoft Cloud [Invited]." Journal of Optical Communications and Networking 8, no. 7 (May 25, 2016): A45. http://dx.doi.org/10.1364/jocn.8.000a45.

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43

Moghaddam, Fahimeh Alizadeh, Patricia Lago, and Paola Grosso. "Energy-Efficient Networking Solutions in Cloud-Based Environments." ACM Computing Surveys 47, no. 4 (July 21, 2015): 1–32. http://dx.doi.org/10.1145/2764464.

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44

Xiang, Liu, and Liu Shaobin. "Hybrid Cloud Networking Design Based on Openstack Architecture." Journal of Physics: Conference Series 1693 (December 2020): 012011. http://dx.doi.org/10.1088/1742-6596/1693/1/012011.

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45

Azodolmolky, Siamak, Philipp Wieder, and Ramin Yahyapour. "Cloud computing networking: challenges and opportunities for innovations." IEEE Communications Magazine 51, no. 7 (July 2013): 54–62. http://dx.doi.org/10.1109/mcom.2013.6553678.

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46

Filer, Mark, Jamie Gaudette, Yawei Yin, Denizcan Billor, Zahra Bakhtiari, and Jeffrey L. Cox. "Low-margin optical networking at cloud scale [Invited]." Journal of Optical Communications and Networking 11, no. 10 (September 19, 2019): C94. http://dx.doi.org/10.1364/jocn.11.000c94.

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47

Botta, Alessio, Jonathan Cacace, Riccardo De Vivo, Bruno Siciliano, and Giorgio Ventre. "Networking for Cloud Robotics: The DewROS Platform and Its Application." Journal of Sensor and Actuator Networks 10, no. 2 (June 14, 2021): 34. http://dx.doi.org/10.3390/jsan10020034.

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With the advances in networking technologies, robots can use the almost unlimited resources of large data centers, overcoming the severe limitations imposed by onboard resources: this is the vision of Cloud Robotics. In this context, we present DewROS, a framework based on the Robot Operating System (ROS) which embodies the three-layer, Dew-Robotics architecture, where computation and storage can be distributed among the robot, the network devices close to it, and the Cloud. After presenting the design and implementation of DewROS, we show its application in a real use-case called SHERPA, which foresees a mixed ground and aerial robotic platform for search and rescue in an alpine environment. We used DewROS to analyze the video acquired by the drones in the Cloud and quickly spot signs of human beings in danger. We perform a wide experimental evaluation using different network technologies and Cloud services from Google and Amazon. We evaluated the impact of several variables on the performance of the system. Our results show that, for example, the video length has a minimal impact on the response time with respect to the video size. In addition, we show that the response time depends on the Round Trip Time (RTT) of the network connection when the video is already loaded into the Cloud provider side. Finally, we present a model of the annotation time that considers the RTT of the connection used to reach the Cloud, discussing results and insights into how to improve current Cloud Robotics applications.
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48

Barabash, Kathy, David Breitgand, Etai Lev-Ran, Dean H. Lorenz, and Danny Raz. "A case for an open customizable cloud network." ACM SIGCOMM Computer Communication Review 52, no. 2 (April 30, 2022): 56–62. http://dx.doi.org/10.1145/3544912.3544919.

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Cloud computing is transforming networking landscape over the last few years. The first order of business for major cloud providers today is to attract as many organizations as possible to their own clouds. To that end cloud providers offer a new generation of managed network solutions to connect the premises of the enterprises to their clouds. To serve their customers better and to innovate fast, major cloud providers are currently on the route to building their own "private Internets", which are idiosyncratic. On the other hand, customers that do not want to stay locked by vendors and who want flexibility in using best-for-the-task services spanning multiple clouds and, possibly, their own premises, seek for solutions that will provide smart overlay connectivity across clouds. The result of these developments is a multiplication of closed idiosyncratic solutions rather than an open standardized ecosystem. In this editorial note we argue for desirability of such an ecosystem, outline the main requirements and sketch possible solutions. We focus on enterprise as our primary use case and illustrate the main ideas through it, but the same principles apply to various different use cases.
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49

Zou, Yuan Jun. "Cloud Data Management Based on Cloud Computing Technology." Applied Mechanics and Materials 543-547 (March 2014): 3573–76. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3573.

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Cloud computing, networking and other high-end computer data processing technology are the important contents of eleven-five development planning in China. They have developed rapidly in recent years in the field of engineering. In this paper, we combine parallel computing with the collaborative simulation principle, design a cloud computing platform, establish the mathematical model of cloud data processing and parallel computing algorithm, and verify the applicability of algorithm through the numerical simulation. Through numerical calculation, cloud computing platform can be divided into complex grids, and the transmission speed is fast, which is eight times than the finite difference method. The mesh is meticulous, which reaches millions. Convergence error is minimum, only 0.001. The calculation accuracy is up to 98.36%.
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Yang, Juan, Xin Yu Chen, Bing Jiang, Jian Lu Luo, and Wen Jing Zhang. "Joint Data Link System Based on Cloud Computing." Applied Mechanics and Materials 347-350 (August 2013): 2317–23. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2317.

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In order to meet the requirements of multiple data links cooperative combat in network centric battle field, we analyzed the problems and challenges that US Army tactical data link system encountered when meeting the needs of network-centric warfare, and elaborated the turning point that the ideas of cloud computing service mode construct the networking data link system in network-centric battle field. On the basis of this, we put forward a new battlefield-oriented, demand-based, real-time serviced networking data link system---the joint data link system based on cloud computing, and proved that the use of cloud technology in Joined Data Links can improve the system service level markedly.
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