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- 저자 : Enakshmi Nandi (검색결과 2 건)
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Debabrata Sarddar,Enakshmi Nandi 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.4
Cloud Computing is a distributing computing technology which is used as pay per use basis. Now a day’s Cloud Computing is the most reputed topic due to its ability to offer guaranteed quality of service atmosphere, dynamic IT infrastructures, and conFigureurable software services. But many users could not satisfy on cloud services completely due to their uncovering security purpose for handling large numbers of data. Even the network becomes uncontrollable, when large numbers of user’s request to the server create network congestion and data losses vigorously. Content Delivery Network OR CDN is an eminent solution of this problem. Our objective is to create local and global server and connect the global server to system manager, which is worked over Content Delivery Network to deliver and direct the user request to the nearest global edge server except local server and establish the connection between them and transfer the respective content. For optimization of edge selection process and reduce the load over content delivery network we approach local server concept in this paper.
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Load Balancing Scheduling with Shortest Load First
Ranjan Kumar Mondal,Enakshmi Nandi,Debabrata Sarddar 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.4
Cloud computing is an internet based technology. This computing paradigm has increased the utility of network where the potentiality of one node can be used by Other node, cloud provides services on demand to distributive resources such as Database, servers, software, infrastructure etc. in pay per use basis, load balancing is One of the unique and important issues for distributing a larger processing lode to smaller processing nodes for increasing total performance of system, in load balancing method the workload not only distribute across multiple computers but also other resources over the network links to gain optimum resource utilization, minimum average response time and avoid overload condition. Different load balancing algorithms have been launched in order to manage the resources of service provider efficiently and effectively. The objective of this paper is to propose efficient scheduling algorithm that can maintain the load balancing and provide improved strategies through efficient job scheduling that would decrease the average response time and increase the availability of more VMs to allocate new jobs from requesting nodes.
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