Stochastic Hill Climbing- Computing Perspective for Load Balancing in Cloud Computing
Richa Dixit1, Vibhash Yadav2
1Richa Dixit, Department of Computer Science and Engineering, Dr. AKT University, Lucknow (U.P), India.
2Vibhash Yadav, Department of Computer Science and Engineering, REC, Banda (U.P), India.
Manuscript received on 11 October 2019 | Revised Manuscript received on 20 October 2019 | Manuscript Published on 02 November 2019 | PP: 715-718 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B11150982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1115.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A new concept for cloud computing is to keep resources in a virtual pool.an Internet environment in which virtual resources those are dynamically scalable are served over internet as service has become a main problem. Cloud computing serves as platform and as an application too. As needed, a cloud computing platform offers, instantiates, reshapes and deprivations data centers dynamically. Cloud servers can be hardware machines or network-wide VM..To implement complex tasks which needs the large processing facility it uses computing resources over the network .Choosing nodes to perform menial tasks in cloud computing must be termed and, in order to capture the resource efficiency, they must be selected properly according to the task’s properties. In this article, a load balancing approach has been suggested. Randomize Hill climbing uses a local computation approach to resource allocation to the servers or VM. Using CloudSim, the performance of the algorithm is examined objectively. Cloud Analyst is a visual modeler based on CloudSim to examine environments and applications in cloud computing.
Keywords: Cloudsim, Workflow, Hadoop, Load Balancing, Stochastic Hill Climbing, Cloud Scheduling, Big Data, Cloud Analyst, Stochastic Model.
Scope of the Article: Cloud Computing