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The biggest challenges for several universities and educational institutions throughout the COVID‐19 pandemic are online and e‐learning infrastructure availability. The incorporation of Information and Communication Technologies in the domain of disaster management is one such dimension, which focuses on the sustainability of human beings regarding the handling of unexpected pandemics. Therefore,...
Hadoop MapReduce is a popular framework for distributed storage and processing of large datasets and is used for big data analytics. It has various configuration parameters which play an important role in deciding the performance i.e., the execution time of a given big data processing job. Default values of these parameters do not result in good performance and therefore it is important to tune them...
Thorough investigation of the Cloud-RAN (C-RAN) architecture has recently shown that C-RAN can bring advanced cooperated and coordinated processing capabilities as well as the multiplexing gains toward future radio access networks. The baseband processing of each base station instance can now be flexibly split into smaller functional components, that can be placed either at remote radio units (RRUs)...
In this demo, we describe the realization of cloud radio access network (C-RAN) prototype using OpenAirInterface (OAI) software and commodity hardware. The deployment of the centralized baseband processing on the remote cloud center (RCC), and the remote radio units (RRU), connected over Ethernet fronthaul is demonstrated. Further, the demo illustrates the flexibility in deploying several cellular...
Flying ad-hoc network is now growing area of research. There are few work done in this area. This whole paper going to stdy about flying network and its protocols. In our propose work we give decentalize cloud based approach in which cloud have data form sensor and base station and then all the base station and device or sensor connected to the each other through many to many connectivity.
Cloud computing is a method for distributed system where software and hardware resources will be distributed through the networked Cloud and all services fetches together on the source of user requirements as they need. In cloud computing Load Balancing is always a big challenge among network researchers. This is because if network load is equally divided onto the entire network it gives faster connectivity...
Web Services such as AWS have become popular in recent times, with many small and large companies wanting to take advantage of cloud computing technology and its possibilities. However, there is an issue with networks set up using such services, in that they do not allow multicast routing and any attempts to set up such a network are hampered because of security related issues that prevent packets...
Infrastructure-as-a-Service (IaaS) is the most acceptable Cloud Computing delivery model that CEO and IT managers are exploring as they relook at their IT infrastructure. However, the adoption of IaaS faces Challenge/concerns such as reliability, and regulatory compliance for data locality. Providing consistent services in on-demand provisioned Cloud infrastructure services is of primary importance...
The Software as a Service model of Cloud Computing offers economies of scale through the pay per use model; however, it renders the modern software very different from traditional software. Hence, there is a need to adapt Software Engineering approach in a manner that will make the development process and delivery of Software as a Service more efficient and of high quality. After performing literature...
Cloud computing is an area that is rapidly gaining popularity in both academia and industry. Cloud-Analyst is useful tool to model and analyze cloud computing environment and applications before actual deployment of cloud products. Service broker controls the traffic routing between user bases and data centers based on different service broker policies. Service proximity based routing policy selects...
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