Resource Management for Service Level Aware Cloud Applications

REACTION 2013. 2nd International Workshop on Real-time and distributed computing in emerging applications. December 3rd, 2013, Vancouver, Canada.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.This work was partially supported by the Swedish Research Council (YR) under contract number C059080l for the project Cloud Control and through the LCCC Linnaeus Center. Also, we received partial support from the EU project VISION Cloud under grant agreement no. 257019, the Swedish Government's strategic effort eSSENCE and from the ELLIIT Excellence Center