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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | A Review of improving load balancing in cloud environments using machine learning |
| Authors Name: | Shital Haribhau Yadgire , Prof. Manoj Kathane , Prof. Yogesh B Jadhao |
| Unique Id: | IJSDR1811059 |
| Published In: | Volume 3 Issue 11, November-2018 |
| Abstract: | Cloud Computing is an rising area in the field of information technology (IT). Cloud computing helps to contribute data and provide many resources to users. Users compensate only for those resources as much they used. Cloud computing stores the data and disseminated resources in the open environment. The amount of data storage increases rapidly in open environment. Load balancing is one of the main challenges in cloud computing environment. It is a technique which is required to distribute the active workload across multiple nodes to ensure that no single node is overloaded. Load balancing techniques helps in best possible consumption of resources ultimately enhancing the performance of the system. The goal of load balancing is to minimize the resource utilization which will further reduce energy consumption and carbon emission rate that is the dire need of cloud computing. There are a variety of scheduling algorithms that maintain load balancing through knowledgeable job scheduling and resource allocation techniques. The aim of this paper is to discuss briefly some of the cloud concepts, the existing load balancing techniques and present a proportional study of the same. |
| Keywords: | Cloud computing, Deployment Models, Service Models, Challenges, Load Balancing, Algorithms. |
| Cite Article: | "A Review of improving load balancing in cloud environments using machine learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.348 - 354, November-2018, Available :http://www.ijsdr.org/papers/IJSDR1811059.pdf |
| Downloads: | 000337061 |
| Publication Details: | Published Paper ID: IJSDR1811059 Registration ID:180832 Published In: Volume 3 Issue 11, November-2018 DOI (Digital Object Identifier): Page No: 348 - 354 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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