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Issue No. 01 - Jan.-Feb. (2018 vol. 11)
ISSN: 1939-1374
pp: 5-19
Stelios Sotiriadis , Technical University of Crete (TUC), Chania, Crete, Greece
Nik Bessis , Department of Computer Science, Edge Hill University, United Kingdom
Ashiq Anjum , University of Derby, Kedleston Road, Derby, United Kingdom
Rajkumar Buyya , University of Melbourne, Australia
ABSTRACT
Inter-cloud is an approach that facilitates scalable resource provisioning across multiple cloud infrastructures. In this paper, we focus on the performance optimization of Infrastructure as a Service (IaaS) using the meta-scheduling paradigm to achieve an improved job scheduling across multiple clouds. We propose a novel inter-cloud job scheduling framework and implement policies to optimize performance of participating clouds. The framework, named as Inter-Cloud Meta-Scheduling (ICMS), is based on a novel message exchange mechanism to allow optimization of job scheduling metrics. The resulting system offers improved flexibility, robustness and decentralization. We implemented a toolkit named “Simulating the Inter-Cloud” (SimIC) to perform the design and implementation of different inter-cloud entities and policies in the ICMS framework. An experimental analysis is produced for job executions in inter-cloud and a performance is presented for a number of parameters such as job execution, makespan, and turnaround times. The results highlight that the overall performance of individual clouds for selected parameters and configuration is improved when these are brought together under the proposed ICMS framework.
INDEX TERMS
Resource management, Dynamic scheduling, Computer architecture, Availability, Cloud computing, Heuristic algorithms, Load management
CITATION

S. Sotiriadis, N. Bessis, A. Anjum and R. Buyya, "An Inter-Cloud Meta-Scheduling (ICMS) Simulation Framework: Architecture and Evaluation," in IEEE Transactions on Services Computing, vol. 11, no. 1, pp. 5-19, 2018.
doi:10.1109/TSC.2015.2399312
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