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dc.contributor.author
Andreadou, Despoina
en
dc.date.accessioned
2015-06-23T12:21:44Z
dc.date.available
2015-09-27T05:58:23Z
dc.date.issued
2015-06-23
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/483
dc.rights
Default License
dc.title
Energy Monitoring and Management of ICT Infrastructure
en
heal.type
masterThesis
heal.keyword
Electronics--Energy conservation
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heal.keyword
Dissertations, Academic
en
heal.language
en
heal.access
free
el
heal.license
http://creativecommons.org/licenses/by-nc/4.0
heal.recordProvider
School of Science and Technology, MSc in Information & Communication Technology Systems
heal.publicationDate
2011-09
heal.bibliographicCitation
Andreadou Despoina, 2011, Energy monitoring and management of ICT infrastructure,Master's Dissertation, International Hellenic University
en
heal.abstract
This dissertation was written as a part of the MSc in ICT Systems at the International Hellenic University, in close collaboration with Space Hellas. Its purpose is to study the topic of power consumption of the Information and Communication Technology (ICT) sector. It is constructed by two separate areas of research. The first one is the investigation of software based models which are used to predict the power consumption of ICT hardware. Such models consist of algorithms that use software metrics as inputs and output the power consumption of the corresponding hardware. In addition, there is the categorization and evaluation of such models and the construction of a similar one, which was applied in the ICT infrastructure in the premis-es of the International Hellenic University. The second part of this dissertation consists of the development of a web based ap-plication, which with the suitable adjustments can run on a smart phone (iphone, andro-id, blackberry, etc.). This application offers the capability to access the power consump-tion data from the premises of IHU, monitor the overall power consumption of the sys-tem and produce corresponding tables and graphs.
en
heal.tableOfContents
DISCLAIMER ................................................................................................................. iii ACKNOWLEDGEMENTS .............................................................................................. v ABSTRACT .................................................................................................................... vii LIST OF FIGURES AND TABLES ............................................................................... ix CONTENTS ................................................................................................................... xiii 1 INTRODUCTION .................................................................................................... 1 1.1 Motivation .......................................................................................................... 1 1.2 Contribution ....................................................................................................... 1 1.3 Dissertation Outline ........................................................................................... 2 2 POWER CONSUMPTION IN ICT .......................................................................... 3 2.1 Carbon Emissions and Cost Issues ..................................................................... 3 2.2 Power Consumption in the ICT Sector .............................................................. 8 2.2.1 Power Consumption in Telecom Networks ................................................ 9 2.3 Methods to Reduce Power Consumption in ICT ............................................. 11 3 MODELING POWER CONSUMPTION IN ICT .................................................. 15 3.1 Power Consumption Predicting Models........................................................... 16 3.1.1 Models Based on Event or Performance Counters ................................... 17 3.1.2 Models Based on Resource/CPU Utilization ............................................ 22 3.1.3 Simulation Based Power Models .............................................................. 24 3.1.4 Coarse-Grained Power Models ................................................................. 26 3.1.5 Power Models Based on a Combination of Metrics ................................. 26 3.1.6 Power Consumption Models for Specific Network Equipment ............... 29 3.1.7 An Application Based Power Consumption Model .................................. 30 xiv 3.2 EVALUATION OF THE ACCURACY OF POWER CONSUMPTION MODELS .................................................................................................................... 34 3.2.1 Characteristics of Importance in a Power Model ...................................... 34 3.2.2 Models Under Comparison ....................................................................... 34 3.2.3 Comparison Between Power Models and Hardware Instrumentation ...... 37 3.3 POWER MANAGEMENT TECHNIQUES .................................................... 40 3.3.1 Dynamic Voltage and Frequency Scaling (DVFS) ................................... 40 3.3.2 Sleeping Modes Vs DVFS ........................................................................ 41 3.3.3 Sleeping Modes Vs Use of Proxies ........................................................... 41 4 PROPOSED ALGORITHM ................................................................................... 43 4.1 Rationale Behind the Model ............................................................................. 43 4.1.1 The Subsystems of Servers and PCs ......................................................... 44 4.1.2 The Subsystem of Wi-Fi Access Points .................................................... 52 4.1.3 The Subsystem of Routers and Switches .................................................. 53 4.1.4 The Subsystem of Printers ......................................................................... 53 4.1.5 The Subsystem of the Call Manager ......................................................... 54 4.1.6 Software Metrics Gathering Technique .................................................... 54 4.2 Indicative Results out of the Model .................................................................. 54 4.2.1 Data from Servers and PCs ....................................................................... 55 4.2.2 Data from Wi-Fi Access Points. ................................................................ 56 4.2.3 Data from Switches/Routers...................................................................... 57 4.2.4 Data from Printers ..................................................................................... 57 4.2.5 Data from the Call Manager ...................................................................... 57 5 WEB BASED APPLICATION ............................................................................... 59 6 CONCLUSIONS ..................................................................................................... 69 BIBLIOGRAPHY ........................................................................................................... 71 7 APPENDIX ............................................................................................................. 77
en
heal.advisorName
Vlahavas, Prof. Ioannis
en
heal.committeeMemberName
Vlahavas, I.
en
heal.committeeMemberName
Mitianoudis, N.
en
heal.committeeMemberName
Vrakas, D.
en
heal.academicPublisher
School of Science &Technology, Master of Science (MSc) in Information and Communication Systems
en
heal.academicPublisherID
ihu
heal.numberOfPages
154
heal.fullTextAvailability
true


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