Blockchain Based Simulated Virtual Machine Placement Hybrid Approach for Decentralized Cloud and Edge Computing Environments

Suresh Rathod, Rahul Joshi, Sudhanshu Gonge, Sharnil Pandya, Thippa Reddy Gadekallu*, Abdul Rehman Javed

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)

Abstract

In the distributed cloud environment, each server (computing server (CS)) is configured with Local Resource Monitors (LRM), which runs independently and performs Virtual Machine (VM) migrations to nearby servers. Approaches like predictive VM migration considering peer servers’ CPU usage, setting up rotative decision-making capacity among the peer server are some approaches proposed by the authors for decentralized cloud and edge computing environment and edge computing during their study. Decentralized cloud and edge computing environment suffer from overutilization caused due to multiple VM placements by peer servers on the same server. This work proposes adaptive predictive VM placement using blockchain with two- threshold for the decentralized cloud and edge computing environment combined with the edge computing environment. In this work, each server in the framework considers its own and peer server’s current and future CPU utilization before it takes a decision for VM migration. Experimental results reveal that the proposed dynamic threshold based predictive approach has better results compared with randomized peer-to-peer VM placement. The use of blockchain during VM placement allows the identified server to maintain its current and future utilization below the upper threshold usage limit and also ensure tampering proof communication in the peer server during VM placement.

Original languageEnglish
Title of host publicationSecurity and Risk Analysis for Intelligent Edge Computing
EditorsGautam Srivastava, Uttam Ghosh, Jerry Chun-Wei Lin
Place of PublicationCham, Switzerland
PublisherSpringer
Pages223-236
Number of pages14
Edition1st
ISBN (Electronic)9783031281501
ISBN (Print)9783031281495, 9783031281525
DOIs
Publication statusPublished - 25 Jun 2023
Externally publishedYes

Publication series

NameAdvances in Information Security
Volume103
ISSN (Print)1568-2633
ISSN (Electronic)2512-2193

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