Consolidating virtual machines by using Ant colony system algorithm for green cloud computing
Date
2020-10
Journal Title
Journal ISSN
Volume Title
Publisher
BRAC University
Abstract
Cloud computing is an internet based computing system enabling convenient,
flexible, on-demand network access to a shared pool of configurable computing resources
(e.g. networks, servers, storage, applications, services) that can be rapidly provisioned and released with minimal management effort or service provider interactions.
Although cloud is a virtual and non-physical network-based concept, its implementation includes physical and wired connectivity among servers, hard-drives and other
network devices resulting in large number of data centers. As such power and energy
consumptions increase total carbon footprint which is very hazardous for the environment. Green Cloud Computing is a concept of consuming less physical power
and saving energy by making the infrastructure more virtual. With the help of
the Ant Colony System (ACS) algorithm, it is possible to consolidate the Virtual
Machines and make Cloud Computing more virtual than it already is. This algorithm describes a mechanism of indirect coordination, through the environment,
between agents or actions e.g. communication about paths between ants with the
help of pheromones. Using this technique, the Virtual Machines (VMs) that constitute Cloud Computing can be amalgamated and consolidated. Thus, Green Cloud
Computing can be easily globalized.
Description
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 43-45).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020.
Includes bibliographical references (pages 43-45).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020.
Keywords
Green cloud computing, Ant colony system, ACS algorithm, State-transition rule, Energy conservation, Virtual machines
