Title :
CLOUDFARM: An Elastic Cloud Platform with Flexible and Adaptive Resource Management
Author :
Nikolov, Vladimir ; Kachele, Steffen ; Hauck, Franz J. ; Rautenbach, Dieter
Author_Institution :
Inst. of Inform. Resource Manage., Univ. of Ulm, Ulm, Germany
Abstract :
Elasticity is a key feature of current cloud computing platforms. Dependent on their demand tenants can dynamically scale up and down their applications. To increase their revenue, cloud providers are used to over-provision their clusters, but they still have to reserve capacity to avoid that services get unresponsive and cause SLO violation during bursts. In this paper, we propose CLOUDFARM, a PaaS architecture with an adaptive SLO-based resource management mechanism. It introduces new flexible SLAs backed with a respective development model and management interface for end-user services. According to their SLAs and the price tenants pay, services can be selectively downgraded to overcome short-term peaks, e.g. While preparing for scale-out. Providers can deploy services optimistically and thus maximize their data center utilization and revenue.
Keywords :
cloud computing; computer centres; contracts; resource allocation; CLOUDFARM; PaaS architecture; SLA; cloud computing platform; data center utilization; resource management; Approximation methods; Bandwidth; Computational modeling; Optimization; Resource management; Servers; Time factors; ARTOS; COSCA; Cloud Computing; OSGi; PaaS; Real-Time; Resource Management; SLA; Scheduling;
Conference_Titel :
Utility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on
Conference_Location :
London
DOI :
10.1109/UCC.2014.84