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A Hybrid Heuristic for QoS Aware Matching of User's Job and Virtual Machines in Cloud Environment

A Hybrid Heuristic for QoS Aware Matching of User's Job and Virtual Machines in Cloud Environment

Devki Nandan Jha, Deo Prakash Vidyarthi
Copyright: © 2018 |Volume: 11 |Issue: 2 |Pages: 22
ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781522543213|DOI: 10.4018/JITR.2018040106
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MLA

Jha, Devki Nandan, and Deo Prakash Vidyarthi. "A Hybrid Heuristic for QoS Aware Matching of User's Job and Virtual Machines in Cloud Environment." JITR vol.11, no.2 2018: pp.88-109. http://doi.org/10.4018/JITR.2018040106

APA

Jha, D. N. & Vidyarthi, D. P. (2018). A Hybrid Heuristic for QoS Aware Matching of User's Job and Virtual Machines in Cloud Environment. Journal of Information Technology Research (JITR), 11(2), 88-109. http://doi.org/10.4018/JITR.2018040106

Chicago

Jha, Devki Nandan, and Deo Prakash Vidyarthi. "A Hybrid Heuristic for QoS Aware Matching of User's Job and Virtual Machines in Cloud Environment," Journal of Information Technology Research (JITR) 11, no.2: 88-109. http://doi.org/10.4018/JITR.2018040106

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Abstract

Cloud computing is a technological advancement that provides services in the form of utility on a pay-per-use basis. As the cloud market is expanding, numerous service providers are joining the cloud platform with their services. This creates an indecision amongst the users to choose an appropriate service provider especially when the cloud provider provisions diverse type of virtual machines. The problem becomes more challenging when the user has different jobs requiring specific quality of service. To address the aforementioned problem, this article applies a hybrid heuristic using College Admission Problem and Analytical Hierarchical Process for stable matching of the users' job with the cloud's virtual machines. The case study depicts the effectiveness of the proposed model.

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