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Exploring Inter-Cloud Load Balancing by Utilizing Historical Service Submission Records

Exploring Inter-Cloud Load Balancing by Utilizing Historical Service Submission Records

Stelios Sotiriadis, Nik Bessis, Nick Antonopoulos
Copyright: © 2012 |Volume: 3 |Issue: 3 |Pages: 10
ISSN: 1947-3532|EISSN: 1947-3540|EISBN13: 9781466611771|DOI: 10.4018/jdst.2012070106
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MLA

Sotiriadis, Stelios, et al. "Exploring Inter-Cloud Load Balancing by Utilizing Historical Service Submission Records." IJDST vol.3, no.3 2012: pp.72-81. http://doi.org/10.4018/jdst.2012070106

APA

Sotiriadis, S., Bessis, N., & Antonopoulos, N. (2012). Exploring Inter-Cloud Load Balancing by Utilizing Historical Service Submission Records. International Journal of Distributed Systems and Technologies (IJDST), 3(3), 72-81. http://doi.org/10.4018/jdst.2012070106

Chicago

Sotiriadis, Stelios, Nik Bessis, and Nick Antonopoulos. "Exploring Inter-Cloud Load Balancing by Utilizing Historical Service Submission Records," International Journal of Distributed Systems and Technologies (IJDST) 3, no.3: 72-81. http://doi.org/10.4018/jdst.2012070106

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Abstract

Cloud computing offers significant advantages to Internet users by deploying hosted services via bespoke service-provisioning environments. In advance, the emergence of Inter-Cloud increases the competences and opportunities of clients for a wider resource provision selection. This extends current capabilities by decoupling users from cloud providers while at the same time cloud providers offer an augmented service delivery mean. In practice, cloud users make use of their brokering component for selecting the best available resource, in terms of computational power and software licensing of a datacenter based on service level agreements for service execution. However, from the cloud perspective, the overall choice for balancing the different workloads within the Inter-Cloud is a complex decision. This article explores the performance of an Inter-Cloud to measure the utilization levels among their sub-clouds for various job submissions. With this in mind, the solution is modeled for achieving load balancing based on historical records from past service execution experiences. The record files are composed in the form of log files that keep related information about the size of the Inter-Cloud, basic specifications, and job submission parameters. Finally, the solution is integrated in a simulated setting for exploring the performance of the approach for various heavy workload submissions.

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