CLUSTER-BASED DECENTRALIZED JOB DISPATCHING FOR THE LARGESCALE CLOUD
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 7
Abstract
Cloud computing is characteristically distinct as a kind of computing that relies on distribution computing resources relatively than having restricted server or private device to switch applications. Cloud technology allows for the routine stipulation and denial of resource as and when it is essential, thus ensuring that the intensity of resource accessible is as strongly matched to current demand as possible. The research work of title “A Framework for implementing Load Balancing and Cluster-Based Decentralized dispatching policy across Virtual Machines in Cloud federations” is based on simulation. This research proposed a frame work on behalf of which a workload is distributed among virtual machines available at various User Bases residing at different Data Centers. The workload is dispersed depending on different policies such as Round Robin, Equally Spread Execution Load and Throttled. The work distribution can takes place depending on single policy at a time. The entire globe is divided into six regions i.e. R0, R1, R2, R3, R4 and R5. The single Data Center and User Base can belong to single region only. After placing the Data Center and User Base to a particular region, its configuration is figured out. User grouping in User Bases and Request grouping in Data centers are the two key features added in this work. Simultaneous users from a single user base forms a user grouping and simultaneous requests that a single server can support at a particular time forms a request grouping in data centers. On behalf of all the parameters response time and processing time is calculated in terms of MAX, MIN and AVG. The same is calculated on region basis also. On behalf of type and extent of hardware, its cost is also calculated in term of VM cost and data transfer cost. At last when simulation is over, overall response is generated and documentation can be achieved.
Authors and Affiliations
Er. Rajdeep Kaur
Keywords
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- EP ID EP107117
- DOI 10.5281/zenodo.58554
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