Storage modeling for power estimation

Allalouf, Miriam; Arbitman, Yuriy; Factor, Michael; Kat, Ronen I.; Meth, Kalman; Naor, Dalit

doi:10.1145/1534530.1534535

Cited by 52 publications

(37 citation statements)

References 11 publications

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“…Figure 2 illustrates what components can be switched off or put in lower power-consumption modes. Several studies focus on minimizing the consumption of specific components, such as Network Interface Cards (NICs) [Gunaratne et al 2005], hard disks [Allalouf et al 2009] and CPUs [Dietz and Dieter 2006], with varying results. Table I shows the energy consumed by the components of a typical rack server [Fan et al 2007].…”

Section: Node Optimizationsmentioning

confidence: 99%

A survey on techniques for improving the energy efficiency of large-scale distributed systems

2014

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The great amounts of energy consumed by large-scale computing and network systems, such as data centers and supercomputers, have been a major source of concern in a society increasingly reliant on information technology. Trying to tackle this issue, the research community and industry have proposed a myriad of techniques to curb the energy consumed by IT systems. This article surveys techniques and solutions that aim to improve the energy efficiency of computing and network resources. It discusses methods to evaluate and model the energy consumed by these resources, and describes techniques that operate at a distributed system level, trying to improve aspects such as resource allocation, scheduling and network traffic management.This work aims to review the state of the art on energy efficiency and to foster research on schemes to make network and computing resources more efficient.

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Section: Node Optimizationsmentioning

confidence: 99%

A survey on techniques for improving the energy efficiency of large-scale distributed systems

2014

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“…Other studies [22][23][24] focus on minimizing the power dissipation of specific components such as Network Interface Card (NIC), hard disks, and CPUs. Thus, [25] measure the power consumed by the main components of a typical rack server (Table III).…”

Section: A Network Devicesmentioning

confidence: 99%

Energy saving in carrier-grade networks: A survey

Mâaloul

Fourati

Cousin

2018

Computer Standards & Interfaces

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Summary-Energy consumption of large-scale networks has become a primary concern in a society increasingly dependent on information technology. Novel solutions that contribute to achieving energy savings in wired networks have been proposed to mitigate ongoing and alarming climate change and global warming. A detailed survey of relevant power-saving approaches in wired networks is presented here. We give a special focus on carrier-grade networks. At first we perform a comprehensive study of communication infrastructures regarding energy saving. Then, we highlight key issues to enable green networks, ranging from network design to network operation. After that, we present the major contributors to power consumption in wireline networks. Afterwards, we survey, classify, and compare the main energyaware methods and mechanisms that are the most appropriate for improving the energy efficiency of carrier-grade networks.

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“…Disk-head seeks consume a large portion of hard-disk energy [1]. A popular approach to optimize file system power-performance is to localize on-disk data to incur fewer head movements.…”

Section: File System Studiesmentioning

confidence: 99%

Optimizing energy and performance for server-class file system workloads

2010

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of the ThesisOptimizing Energy and Performance for Server-Class File System Workloads by Priya Sehgal Master of Science in Computer ScienceStony Brook University 2010Recently, power has emerged as a critical factor in designing components of storage systems, especially for power-hungry data centers. While there is some research into power-aware storage stack components, there are no systematic studies evaluating each component's impact separately. Various factors like workloads, hardware configurations, and software configurations impact the performance and energy efficiency of the system. This thesis evaluates the file system's impact on energy consumption and performance. We studied several popular Linux file systems, with various mount and format options, using the FileBench workload generator to emulate four server workloads: Web, database, mail, and file server, on two different hardware configurations. The file system design, implementation, and available features have a significant effect on CPU/disk utilization, and hence on performance and power. We discovered that default file system options are often suboptimal, and even poor. In this thesis we show that a careful matching of expected workloads and hardware configuration to a single software configuration-the file system-can improve power-performance efficiency by a factor ranging from 1.05 to 9.4 times.iii To my parents and my brother and sister.

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Storage modeling for power estimation

Cited by 52 publications

References 11 publications

A survey on techniques for improving the energy efficiency of large-scale distributed systems

A survey on techniques for improving the energy efficiency of large-scale distributed systems

Energy saving in carrier-grade networks: A survey

Optimizing energy and performance for server-class file system workloads

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