Publication:
Resource Management for Service Level Aware Cloud Applications

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ISBN: 978-84-616-7680-4
ISBN: 84-616-7680-4
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2013-12-03
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Universidad Carlos III de Madrid
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Abstract
Resource allocation in clouds is mostly done assuming hard requirements, time-sensitive applications either receive the requested resources or fail, Given the dynamic nature of workloads, guaranteeing on-demand allocations requires large spare capacity. Hence, one cannot have a system that is both reliable and efficient. To mitigate this issue, we introduce service-level awareness in clouds, assuming applications contain some optional code that can be dynamically deactivated as needed. We propose a resource manager that allocates resources to multiple service-level-aware applications in a fair manner. To show the practical applicability, we implemented service-level-aware versions of RUBiS and RUBBoS, two popular cloud benchmarks, together with our resource manager. Experiments show that service-level awareness helps in withstanding flash-crowds or failures, opening up more flexibility in cloud resource management.
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REACTION 2013. 2nd International Workshop on Real-time and distributed computing in emerging applications. December 3rd, 2013, Vancouver, Canada.
Keywords
Sistemas en tiempo real, Sistemas distribuidos, Cloud computing, Resource Management, Real-time
Bibliographic citation
REACTION 2013, co-located with IEEE RTSS. Vancouver, Canada. December 3rd, 2013. Universidad Carlos III de Madrid, 2013, pp. 37-42.