ALPACA: Application Performance Aware Server Power Capping

Krzywda, Jakub; Ali-Eldin, Ahmed; Wadbro, Eddie; Östberg, Per-Olov; Elmroth, Erik

doi:10.1109/icac.2018.00014

Cited by 6 publications

(1 citation statement)

References 32 publications

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“…We use the application performance and QoS violation models introduced in ALPACA [25]. The performance models define two application classes: applications with gradual performance degradation that continue running with a limited power budget, and applications with abrupt performance degradation that effectively fail if the power budget is below a certain threshold.…”

Section: B Application Performance and Costmentioning

confidence: 99%

Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers

Krzywda

Meyer

Xavier

et al. 2020

2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)

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Power budgeting is a commonly employed solution to reduce the negative consequences of high power consumption of large scale data centers. While various power budgeting techniques and algorithms have been proposed at different levels of data center infrastructures to optimize the power allocation to servers and hosted applications, testing them has been challenging with no available simulation platform that enables such testing for different scenarios and configurations. To facilitate evaluation and comparison of such techniques and algorithms, we introduce a simulation model for Quality-of-Service aware power budgeting and its implementation in CloudSim. We validate the proposed simulation model against a deployment on a real testbed, showcase simulator capabilities, and evaluate its scalability.

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Section: B Application Performance and Costmentioning

confidence: 99%

Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers

Krzywda

Meyer

Xavier

et al. 2020

2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)

Self Cite

View full text Add to dashboard Cite

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Self-managed Computer Systems: Foundations and Examples

Menascé

2020

Enterprise Information Systems

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An approach to reduce energy consumption and performance losses on heterogeneous servers using power capping

Ciesielczyk

Cabrera

Oleksiak

et al. 2020

J Sched

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Rapid growth of demand for remote computational power, along with high energy costs and infrastructure limits, has led to treating power usage as a primary constraint in data centers. Especially, recent challenges related to development of exascale systems or autonomous edge systems require tools that will limit power usage and energy consumption. This paper presents a power capping method that allows operators to quickly adjust the power usage to external conditions and, at the same time, to reduce energy consumption and negative impact on performance of applications. We propose an optimization model and both heuristic and exact methods to solve this problem. We present an evaluation of power capping approaches supported by results of application benchmarks and experiments performed on new heterogeneous servers.

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ALPACA: Application Performance Aware Server Power Capping

Cited by 6 publications

References 32 publications

Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers

Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers

Self-managed Computer Systems: Foundations and Examples

An approach to reduce energy consumption and performance losses on heterogeneous servers using power capping

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