Dynamic Voltage Scaling in Multitier Web Servers with End-to-End Delay Control
The energy and cooling costs of Web server farms are among their main financial expenditures. This paper explores the benefits of dynamic voltage scaling (DVS) for power management in server farms. Unlike previous work, which addressed DVS on individual servers and on load-balanced server replicas,...
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Published in | IEEE transactions on computers Vol. 56; no. 4; pp. 444 - 458 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.04.2007
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 0018-9340 1557-9956 |
DOI | 10.1109/TC.2007.1003 |
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Abstract | The energy and cooling costs of Web server farms are among their main financial expenditures. This paper explores the benefits of dynamic voltage scaling (DVS) for power management in server farms. Unlike previous work, which addressed DVS on individual servers and on load-balanced server replicas, this paper addresses DVS in multistage service pipelines. Contemporary Web server installations typically adopt a three-tier architecture in which the first tier presents a Web interface, the second executes scripts that implement business logic, and the third serves database accesses. From a user's perspective, only the end-to-end response across the entire pipeline is relevant. This paper presents a rigorous optimization methodology and an algorithm for minimizing the total energy expenditure of the multistage pipeline subject to soft end-to-end response-time constraints. A distributed power management service is designed and evaluated on a real three-tier server prototype for coordinating DVS settings in a way that minimizes global energy consumption while meeting end-to-end delay constraints. The service is shown to consume as much as 30 percent less energy compared to the default (Linux) energy saving policy. |
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AbstractList | The energy and cooling costs of Web server farms are among their main financial expenditures. This paper explores the benefits of dynamic voltage scaling (DVS) for power management in server farms. Unlike previous work, which addressed DVS on individual servers and on load-balanced server replicas, this paper addresses DVS in multistage service pipelines. Contemporary Web server installations typically adopt a three-tier architecture in which the first tier presents a Web interface, the second executes scripts that implement business logic, and the third serves database accesses. From a user's perspective, only the end-to-end response across the entire pipeline is relevant. This paper presents a rigorous optimization methodology and an algorithm for minimizing the total energy expenditure of the multistage pipeline subject to soft end-to-end response-time constraints. A distributed power management service is designed and evaluated on a real three-tier server prototype for coordinating DVS settings in a way that minimizes global energy consumption while meeting end-to-end delay constraints. The service is shown to consume as much as 30 percent less energy compared to the default (Linux) energy saving policy. The energy and cooling costs of Web server farms are among their main financial expenditures. This paper explores the benefits of dynamic voltage scaling (DVS) for power management in server farms. Unlike previous work, which addressed DVS on individual servers and on load-balanced server replicas, this paper addresses DVS in multistage service pipelines. Contemporary Web server installations typically adopt a three-tier architecture in which the first tier presents a Web interface, the second executes scripts that implement business logic, and the third serves database accesses. From a user's perspective, only the end-to-end response across the entire pipeline is relevant. This paper presents a rigorous optimization methodology and an algorithm for minimizing the total energy expenditure of the multistage pipeline subject to soft end-to-end response-time constraints. A distributed power management service is designed and evaluated on a real three-tier server prototype for coordinating DVS settings in a way that minimizes global energy consumption while meeting end-to-end delay constraints. The service is shown to consume as much as 30 percent less energy compared to the default (Linux) energy saving policy The energy and cooling costs of Web server farms are among their main financial expenditures. This paper explores the benefits of dynamic voltage scaling (DVS) for power management in server farms. Unlike previous work, which addressed [abstract truncated by publisher]. A distributed power management service is designed and evaluated on a real three-tier server prototype for coordinating DVS settings in a way that minimizes global energy consumption while meeting end-to-end delay constraints. |
Author | Skadron, Kevin Liu, Xue Horvath, Tibor Abdelzaher, Tarek |
Author_xml | – sequence: 1 givenname: Tibor surname: Horvath fullname: Horvath, Tibor email: tibor@cs.virginia.edu organization: Department of Computer Science, University of Virginia, Charlottesville, VA – sequence: 2 givenname: Tarek surname: Abdelzaher fullname: Abdelzaher, Tarek organization: Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL – sequence: 3 givenname: Kevin surname: Skadron fullname: Skadron, Kevin organization: Department of Computer Science, University of Virginia, Charlottesville, VA – sequence: 4 givenname: Xue surname: Liu fullname: Liu, Xue organization: Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL |
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Snippet | The energy and cooling costs of Web server farms are among their main financial expenditures. This paper explores the benefits of dynamic voltage scaling (DVS)... A distributed power management service is designed and evaluated on a real three-tier server prototype for coordinating DVS settings in a way that minimizes... |
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SubjectTerms | Delay Delays distributed algorithms Dynamic voltage scaling Electric potential Energy conservation Energy consumption Heuristic algorithms Linux network servers optimization methods Pipeline processing Pipelines Power management Power system management Prototypes Servers Servers (computers) soft real-time systems Studies Voltage control Web servers World Wide Web |
Title | Dynamic Voltage Scaling in Multitier Web Servers with End-to-End Delay Control |
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