Record Skipping in Parallel Data Processing Systems

Höger, Mareike; Kao, Odej

doi:10.1109/iccac.2016.15

Cited by 1 publication

(1 citation statement)

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“…Over provisioning increases the management cost for a cloud application, but guarantees user satisfaction. The second strategy is provisioning according to expectations and handling capacity shortages via user experience degradation [7,9,27,34,41], or via approximate computing [22,37,40]. Generally speaking, these ways of handling capacity shortages are typically clustered under the umbrella of graceful degradation.…”

Section: Introductionmentioning

confidence: 99%

Cloud Application Predictability through Integrated Load-Balancing and Service Time Control

Nylander

Andrén

Årzén

et al. 2018

2018 IEEE International Conference on Autonomic Computing (ICAC)

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Cloud computing provides the illusion of infinite capacity to application developers. However, data center provisioning is complex and it is still necessary to handle the risk of capacity shortages. To handle capacity shortages, graceful degradation techniques sacrifice user experience for predictability. In all these cases, the decision making policy that determines the degradation interferes with other decisions happening at the infrastructure level, like load-balancing choices. Here, we reconcile the two approaches, developing a load-balancing strategy that also handles capacity shortages and graceful degradation when necessary. The proposal is based on a sound control-theoretical approach. The design of the approach avoids the pitfalls of interfering control decisions. We describe the technique and provide evidence that it allows us to achieve higher performance in terms of emergency management and user experience.

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