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Cluster Computing

Erschienen in:

16.10.2017

An improved efficient: Artificial Bee Colony algorithm for security and QoS aware scheduling in cloud computing environment

verfasst von: M. Roshni Thanka, P. Uma Maheswari, E. Bijolin Edwin

Erschienen in: Cluster Computing | Sonderheft 5/2019

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Abstract

Cloud Computing is an emerging Technology which provides IT services. Using cloud resources, computational resource requirement and ubiquitous nature are available at ease and also to pay only for availed resources are achieved through Cloud Computing environment. Here scheduling the job to the appropriate resource is an NP hard problem. Ensuring QoS during job scheduling to the users is a most prominent need. As scheduling takes place in third party’s boundary, assuring its security is an important criterion. To provide QoS such as makespan, cost, reducing task migration during the schedule and enforcing the security are the significant objective of the proposed work. Using the proposed improved efficient—Artificial Bee Colony algorithm these objectives are achieved. The implementation results prove that the proposed system achieves the objective of secure job scheduling with assured QoS.

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Titel: An improved efficient: Artificial Bee Colony algorithm for security and QoS aware scheduling in cloud computing environment
verfasst von: M. Roshni Thanka
P. Uma Maheswari
E. Bijolin Edwin
Publikationsdatum: 16.10.2017
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe Sonderheft 5/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-017-1223-7

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