Evaluation of Continuous Power-Down Schemes

We consider a power-down system with two states—“on” and “off”—and a continuous set of power states. The system has to respond to requests for service in the “on” state and, after service, the system can power off or switch to any of the intermediate power-saving states. The choice of states determi...

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Main Authors: James Andro-Vasko, Wolfgang Bein
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/13/1/37
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author James Andro-Vasko
Wolfgang Bein
author_facet James Andro-Vasko
Wolfgang Bein
author_sort James Andro-Vasko
collection DOAJ
description We consider a power-down system with two states—“on” and “off”—and a continuous set of power states. The system has to respond to requests for service in the “on” state and, after service, the system can power off or switch to any of the intermediate power-saving states. The choice of states determines the cost to power on for subsequent requests. The protocol for requests is “online”, which means that the decision as to which intermediate state (or the off-state) the system will switch has to be made without knowledge of future requests. We model a linear and a non-linear system, and we consider different online strategies, namely piece-wise linear, logarithmic and exponential. We provide results under online competitive analysis, which have relevance for the integration of renewable energy sources into the smart grid. Our analysis shows that while piece-wise linear systems are not specific for any type of system, logarithmic strategies work well for slack systems, whereas exponential systems are better suited for busy systems.
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spelling doaj.art-0e3ebbd7fd9c4ebf94e74323a49b102b2023-11-23T14:08:46ZengMDPI AGInformation2078-24892022-01-011313710.3390/info13010037Evaluation of Continuous Power-Down SchemesJames Andro-Vasko0Wolfgang Bein1Department of Computer Science, University of Nevada, Las Vegas, NV 89154, USADepartment of Computer Science, University of Nevada, Las Vegas, NV 89154, USAWe consider a power-down system with two states—“on” and “off”—and a continuous set of power states. The system has to respond to requests for service in the “on” state and, after service, the system can power off or switch to any of the intermediate power-saving states. The choice of states determines the cost to power on for subsequent requests. The protocol for requests is “online”, which means that the decision as to which intermediate state (or the off-state) the system will switch has to be made without knowledge of future requests. We model a linear and a non-linear system, and we consider different online strategies, namely piece-wise linear, logarithmic and exponential. We provide results under online competitive analysis, which have relevance for the integration of renewable energy sources into the smart grid. Our analysis shows that while piece-wise linear systems are not specific for any type of system, logarithmic strategies work well for slack systems, whereas exponential systems are better suited for busy systems.https://www.mdpi.com/2078-2489/13/1/37online algorithmscompetitive analysisgreen energyrenewable energypower-down
spellingShingle James Andro-Vasko
Wolfgang Bein
Evaluation of Continuous Power-Down Schemes
Information
online algorithms
competitive analysis
green energy
renewable energy
power-down
title Evaluation of Continuous Power-Down Schemes
title_full Evaluation of Continuous Power-Down Schemes
title_fullStr Evaluation of Continuous Power-Down Schemes
title_full_unstemmed Evaluation of Continuous Power-Down Schemes
title_short Evaluation of Continuous Power-Down Schemes
title_sort evaluation of continuous power down schemes
topic online algorithms
competitive analysis
green energy
renewable energy
power-down
url https://www.mdpi.com/2078-2489/13/1/37
work_keys_str_mv AT jamesandrovasko evaluationofcontinuouspowerdownschemes
AT wolfgangbein evaluationofcontinuouspowerdownschemes