Exploring Social Credit for Fairness in Cloud Computing Networks

Publication Date

12-17-2023

Document Type

Article

Publication Title

IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India)

Volume

41

Issue

5

DOI

10.1080/02564602.2023.2282058

First Page

578

Last Page

591

Abstract

Cloud-based computing networks have taken over the digital landscape. From small non-profits to large multinational corporations, more and more entities have been offloading computing effort to the cloud in order to take advantage of the increased cost-efficiency and scalability of cloud computing. One of the new types of cloud that have emerged is P2P cloud, which disengages from a traditional datacenter setup by allowing users to instead share their own computing hardware into a cloud to reap the benefits of cloud computing's advantages at an even lower cost. However, this new paradigm comes with a slew of challenges: (i) security, when operating with the devices of strangers and (ii) fairness when not operating in a market-based system. This paper aims to address these two issues by proposing an algorithm based on social credits for a P2P cloud system that uses a social network to establish its security measures. We implement our new Social Credit algorithm along with two other task-migration-based load-balancing algorithms adapted for a P2P social cloud in “Cloudsim Plus”, and the relative gains are shown in terms of fairness and other related metrics.

Keywords

Cloud computing, Cloud sim, Fairness, P2P systems, Random graphs, Social credit

Department

Computer Science

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