Publication: Resource Management for Service Level Aware Cloud Applications
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Publication date
2013-12-03
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Universidad Carlos III de Madrid
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.
Description
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.