Power-aware QoS management in Web servers

Sharma, Vivek; Thomas, Alexander; Abdelzaher, Tarek; Skadron, Kevin; Lu, Zhijian

doi:10.1109/real.2003.1253254

Cited by 147 publications

(137 citation statements)

References 11 publications

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“…Sharma et al [4] have developed adaptive algorithms using a feedback loop that regulates CPU frequency and voltage levels in order to minimize the power consumption. Tanelli et al [5] controlled CPUs by dynamic voltage scaling techniques in Web servers, aiming at decreasing their power consumption.…”

Section: Literature Reviewmentioning

confidence: 99%

Green-Aware Virtual Machine Migration Strategy in Sustainable Cloud Computing Environments

Wang¹,

Zhang²,

Yang³

et al. 2017

Cloud Computing - Architecture and Applications

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As cloud computing develops rapidly, the energy consumption of large-scale datacenters becomes unneglectable, and thus renewable energy is considered as the extra supply for building sustainable cloud infrastructures. In this chapter, we present a green-aware virtual machine (VM) migration strategy in such datacenters powered by sustainable energy sources, considering the power consumption of both IT functional devices and cooling devices. We define an overall optimization problem from an energy-aware point of view and try to solve it using statistical searching approaches. The purpose is to utilize green energy sufficiently while guaranteeing the performance of applications hosted by the datacenter. Evaluation experiments are conducted under realistic workload traces and solar energy generation data in order to validate the feasibility. Results show that the green energy utilization increases remarkably, and more overall revenues could be achieved.

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Section: Literature Reviewmentioning

confidence: 99%

Green-Aware Virtual Machine Migration Strategy in Sustainable Cloud Computing Environments

Wang¹,

Zhang²,

Yang³

et al. 2017

Cloud Computing - Architecture and Applications

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“…Sharma et al [36] applied control theory to control application-level quality of service requirements. Chen et al [8] developed a controller to control SLA, which is response time, in a server cluster.…”

Section: Related Workmentioning

confidence: 99%

A Gray-Box Feedback Control Approach for System-Level Peak Power Management

Gong

2010

2010 39th International Conference on Parallel Processing

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“…A considerable amounts of energy can be saved by reducing resource consumption during non-peak conditions. Significant research efforts have been expended on applying dynamic voltage scaling (DVS) to computing systems in order to save power while meeting time or performance constraints [13,6,12,28,27,33].…”

Section: Application To Power and Performance In Data Centersmentioning

confidence: 99%

Introduction to Control Theory And Its Application to Computing Systems

Abdelzaher

Diao²,

Hellerstein

et al. 2008

Performance Modeling and Engineering

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Feedback control is central to managing computing systems and data networks. Unfortunately, computing practitioners typically approach the design of feedback control in an ad hoc manner. Control theory provides a systematic approach to designing feedback loops that are stable in that they avoid wild oscillations, accurate in that they achieve objectives such as target response times for service level management, and settle quickly to their steady state values. This paper provides an introduction to control theory for computing practitioners with an emphasis on applications in the areas of database systems, real-time systems, virtualized servers, and power management.

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Power-aware QoS management in Web servers

Cited by 147 publications

References 11 publications

Green-Aware Virtual Machine Migration Strategy in Sustainable Cloud Computing Environments

Green-Aware Virtual Machine Migration Strategy in Sustainable Cloud Computing Environments

A Gray-Box Feedback Control Approach for System-Level Peak Power Management

Introduction to Control Theory And Its Application to Computing Systems

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