Seminar - Scientific Workflow Scheduling and Resource Allocation with QoS Constraints in Cloud

ECS PhD Proposal

Speaker: Vahid Arabnejad
Time: Monday 20th April 2015 at 12:30 PM - 01:30 PM
Location: AM101, Alan MacDiarmid 101

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Abstract

Commercial clouds have increasingly become a viable platform for hosting scientific analyses and computation due to their; elasticity, recent introduction of specialist hardware, and pay-as-you-go cost model. This computing paradigm therefore presents a low capital and low barrier alternative to operating dedicated eScience infrastructure. Indeed, commercial clouds now enable universal access to capabilities previously available to only large well funded research groups. While the potential benefits of cloud computing are clear, there are still significant technical hurdles associated with obtaining the best execution efficiency whilst trading off cost. Large scale scientific analyses are typically represented as workflows, in order to manage multiple tools and data sets. Mapping workflow tasks on to a set of provisioned instances is an example of the general scheduling problem and is NP-complete. In this case, the mapping includes elasticity, where as part of the mapping process additional instances may be provisoned. My goals in this proposal is to develop new algorithms and tools for workflow scheduling that take into account customer profiles and QoS requirements which can be of general applying for current workflow management systems.

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