Enhanced Weighted Round Robin Load Balancing Algorithm in Cloud Computing
Shivangi Mayur1, Nidhi Chaudhary2
1Shivangi Mayur, Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut, India.
2Nidhi Chaudhary, Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut, India.
Manuscript received on 09 August 2019 | Revised Manuscript received on 16 August 2019 | Manuscript Published on 31 August 2019 | PP: 148-151 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I10300789S219/19©BEIESP DOI: 10.35940/ijitee.I1030.0789S219
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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: The cloud/utility computing model requires a dynamic task assignment to cloud sites with the goal that the performance and demand handling is done as effectively as would be prudent. Efficient load balancing and proper allocation of resources are vital systems to improve the execution of different services and make legitimate usage of existing assets in the cloud computing atmosphere. Consequently, the cloud-based infrastructure has numerous kinds of load concerns such as CPU load, server load, memory drain, network load, etc. Thus, an appropriate load balancing system helps in realizing failures, reducing backlog problems, adaptability, proper resource distribution, expanding dependability and client fulfillment and so forth in distributed environment. This thesis reviewed various popular load balancing algorithms. Modified round robin algorithms are popularly employed by various giant companies for scheduling issues and load balancing. An enhanced weighted round robin algorithm is discussed in this paper concentrating on efficient load balancing and effective task scheduling and resource management.
Keywords: Cloud Computing, Load Balancing Algorithms, Resource Allocation, Task Scheduling.
Scope of the Article: Cloud Computing and Innovative Cloud-Based Application Systems