Stochastic Network Calculus

doi:10.1007/978-1-84800-127-5

Cited by 145 publications

(1 citation statement)

References 97 publications

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“…Metis [4] is graph partitioning tool that might be applicable in this application domain. Also, a Network Calculus [5] could be used to provide a theoretical framework from which to model resource allocations and service guarantees. In computer networks, the concept of service curves are used that determines the relationship between arriving and departing network flows.…”

Section: Admission Controlmentioning

confidence: 99%

A design space for dynamic service level agreements in OpenStack

Lee

Sill

2014

J Cloud Comp

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This paper does a systematic review of the possible design space for cloud-hosted applications that may have changing resource requirements that need to be supported through dynamic service level agreements (SLAs). The fundamental SLA functions are reviewed: Admission Control, Monitoring, SLA Evaluation, and SLA Enforcement -a classic autonomic control cycle. This is followed by an investigation into possible application requirements and SLA enforcement mechanisms. We then identify five basic Load Types that a dynamic SLA system must manage: Best Effort, Throttled, Load Migration, Preemption and Spare Capacity. The key to meeting application SLA requirements under changing surge conditions is to also manage the spare surge capacity. The use of this surge capacity could be managed by one of several identified load migration policies. A more detailed SLA architecture is presented that discusses specific SLA components. This is done in the context of the OpenStack since it is open source with a known architecture. Based on this SLA architecture, a research and development plan is presented wherein fundamental issues are identified that need to be resolved through research and experimentation. Based on successful outcomes, further developments are considered in the plan to produce a complete, end-to-end dynamic SLA capability. Executing on this plan will take significant resources and organization. The NSF Center for Cloud and Autonomic Computing is one possible avenue for pursuing these efforts. Given the growing importance of cloud performance management in the wider marketplace, the cloud community would be well-served to coordinate cloud SLA development across organizations such as the IEEE, Open Grid Forum, and the TeleManagement Forum.

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Section: Admission Controlmentioning

confidence: 99%