Adaptive Fair and Cost-Effective Load Balancing in Distributed Computing Systems

8 pages•Published: March 22, 2023

Satish Penmatsa and Krishna Kanth Varma Penmatsa

Abstract

Load balancing is one of the main challenges in distributed computing systems such as the cloud computing systems. It helps improve throughput while reducing the response time and cost for data and computation intensive applications. In this paper, we present an adaptive load balancing scheme for heterogeneous distributed computing systems whose objective is to provide a fair allocation of jobs to computing resources that reduces the cost of executing the jobs in the system. Using simulations, we compare the performance of the presented scheme with that of existing load balancing schemes.

Keyphrases: adaptive load balancing, cost optimization, distributed systems, fairness

In: Ajay Bandi, Mohammad Hossain and Ying Jin (editors). Proceedings of 38th International Conference on Computers and Their Applications, vol 91, pages 108-115.

Links:	https://easychair.org/publications/paper/NdXQ
	https://doi.org/10.29007/s4lr

BibTeX entry

@inproceedings{CATA2023:Adaptive_Fair_Cost_Effective,
  author    = {Satish Penmatsa and Krishna Kanth Varma Penmatsa},
  title     = {Adaptive Fair and Cost-Effective Load Balancing in Distributed Computing Systems},
  booktitle = {Proceedings of 38th International Conference on Computers and Their Applications},
  editor    = {Ajay Bandi and Mohammad Hossain and Ying Jin},
  series    = {EPiC Series in Computing},
  volume    = {91},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/NdXQ},
  doi       = {10.29007/s4lr},
  pages     = {108-115},
  year      = {2023}}

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