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Book Sections Year : 2012

Scheduling On-Demand SaaS Services on a Shared Virtual Cluster


In this chapter, we propose a framework to set up on-demand computation-based SaaS services on a computing cluster shared among services of distinct providers, which invest to purchase, to maintain and to keep the cluster up. We focus especially on resource management which appears as a critical point. Indeed, it must satisfy two conflicting objectives, which aim at sharing the cluster's resources proportionally among the different services while maximizing their use. We first suggest a model that relies on virtual machines to execute the jobs associated to services requests. Its software architecture comprises a specific scheduler designed upon OpenNebula to deal with SaaS request handling, job scheduling, resource management, and job execution. We then propose for resource management, a job scheduling heuristic that introduces a smart tradeoff in a classical static approach resource sharing to satisfy the aforementioned objectives. We have built a prototype (SVMSched) of the proposed framework, that is evaluated using trace-based simulation on various workload scenarios. Experimental results show its ability to achieve the expected goals, while being reliable, efficient.
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hal-01006283 , version 1 (15-06-2014)



Rodrigue Chakode, Blaise Yenke, Jean-François Mehaut. Scheduling On-Demand SaaS Services on a Shared Virtual Cluster. Cloud Computing and Services Science, Springer, pp.259-276, 2012, 978-1-4614-2325-6. ⟨10.1007/978-1-4614-2326-3_14⟩. ⟨hal-01006283⟩
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