Low-Power Computing
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Approaches in Green Computing
Special Issue - 2015 International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 NSRCL-2015 Conference Proceedings Approaches in Green Computing Reena Thomas Fedrina J Manjaly 3 rd BCA, Department of Computer Science 3 rd BCA , Department of Computer Science Carmel College Carmel College Mala, Thrissur Mala, Thrissur Abstract— In a 2008 article San Murugesan defined green computing as "the study and practice of designing, manufacturing, using, and disposing of computers, servers, and associated subsystems — such as monitors, printers, storage devices, and networking and communications systems — efficiently and effectively with minimal or no impact on the environment."Murugesan lays out four paths along which he believes the environmental effects of computing should be addressed:Green use, green disposal, green design, and green manufacturing. Green computing can also develop solutions that offer benefits by "aligning all IT processes and practices with the core principles of sustainability, which are to reduce, reuse, and recycle; and finding innovative ways to use IT in business processes to deliver sustainability benefits across the Figure 1: Green Computing Migration Framework enterprise and beyond". I. INTRODUCTION II. APPROACHES In 1992, the U.S. Environmental Protection Agency A. Product longevity launched Energy Star, a voluntary labeling program that is Gartner maintains that the PC manufacturing process designed to promote and recognize energy-efficiency in accounts for 70% of the natural resources used in the life monitors, climate control equipment, and other cycle of a PC. More recently, Fujitsu released a Life Cycle technologies. This resulted in the widespread adoption of Assessment (LCA) of a desktop that show that sleep mode among consumer electronics. -
Green Computing: Barriers and Benefits
International Journal of Computational Intelligence Research ISSN 0973-1873 Volume 13, Number 3 (2017), pp. 339-342 © Research India Publications http://www.ripublication.com Green Computing: Barriers and Benefits 1Monika, 2Jyoti Yadav, 3Muskan and 4Romika Yadav 1,3,4 Indira Gandhi University, Meerpur, Haryana, India 2Deenbandhu Chhoturam University of Science & Technology, Murthal, Haryana, India Abstract Green computing provide reusability of resources that are currently used by various technologies. Green computing is responsible for environmentally and eco-friendly use of computer and their resources. So it defines the study of engineering, manufacturing, designing and using disposing computing devices in such a way that help to reduce their impact on environment. This provides an idea about why we use green computing and their barriers in implementing green computing. Subsequently benefits and their implementations technologies of green computing are proposed. Keywords: Reusability, Technology, Resources, Manufacturing. 1. INTRODUCTION Green computing sometimes also called Green Technology. In the green computing we use computer and its related other resources such as monitor, printer, hard disk, floppy disk, networking in very efficiently manner which has less impact on the environment. Green computing is about eco-friendly use of computer. Green computing is important for all type of system. It is important for handheld system to large scale data centre[1]. Many IT companies have been start the use of green computing to reduce the environment impact of their IT operations[2].Green computing is the emerging practice of using computing and information technology resources more efficiently while maintaining or improving overall performance. The concept identifies the barriers and benefits of green computing 340 Monika, Jyoti Yadav, Muskan and Romika Yadav Green computing is an environment friendly approach to manage information and communication technology. -
Ernesto Sanchez, Giovanni Squillero, and Alberto Tonda Industrial
Ernesto Sanchez, Giovanni Squillero, and Alberto Tonda Industrial Applications of Evolutionary Algorithms Intelligent Systems Reference Library, Volume 34 Editors-in-Chief Prof. Janusz Kacprzyk Prof. Lakhmi C. Jain Systems Research Institute University of South Australia Polish Academy of Sciences Adelaide ul. Newelska 6 Mawson Lakes Campus 01-447 Warsaw South Australia 5095 Poland Australia E-mail: [email protected] E-mail: [email protected] Further volumes of this series can be found on our homepage: springer.com Vol. 10. Andreas Tolk and Lakhmi C. Jain Vol. 23. Dawn E. Holmes and Lakhmi C. Jain (Eds.) Intelligence-Based Systems Engineering, 2011 Data Mining: Foundations and Intelligent Paradigms, 2011 ISBN 978-3-642-17930-3 ISBN 978-3-642-23165-0 Vol. 11. Samuli Niiranen and Andre Ribeiro (Eds.) Vol. 24. Dawn E. Holmes and Lakhmi C. Jain (Eds.) Information Processing and Biological Systems, 2011 Data Mining: Foundations and Intelligent Paradigms, 2011 ISBN 978-3-642-19620-1 ISBN 978-3-642-23240-4 Vol. 12. Florin Gorunescu Vol. 25. Dawn E. Holmes and Lakhmi C. Jain (Eds.) Data Mining, 2011 Data Mining: Foundations and Intelligent Paradigms, 2011 ISBN 978-3-642-19720-8 ISBN 978-3-642-23150-6 Vol. 13. Witold Pedrycz and Shyi-Ming Chen (Eds.) Granular Computing and Intelligent Systems, 2011 Vol. 26. Tauseef Gulrez and Aboul Ella Hassanien (Eds.) ISBN 978-3-642-19819-9 Advances in Robotics and Virtual Reality, 2011 ISBN 978-3-642-23362-3 Vol. 14. George A. Anastassiou and Oktay Duman Towards Intelligent Modeling: Statistical Approximation Vol. 27. Cristina Urdiales Theory, 2011 Collaborative Assistive Robot for Mobility Enhancement ISBN 978-3-642-19825-0 (CARMEN), 2011 ISBN 978-3-642-24901-3 Vol. -
Green Computing Beyond the Data Center
An IT Briefing produced by Green Computing Beyond the Data Center Sponsored By: Green Computing Beyond the Data Center By Helen Cademartori © 2007 TechTarget Author: Helen Cademartori Sr. IT Business Manager, Board Member CTB BIO Helen Cademartori is a member of the board of CTB. She has worked for a number of organizations across several industries, including health care, finance, and education, in the Northern California area, where there is a deep commitment to transforming and conserving energy usage in computing. This IT Briefing is based on a Faronics/TechTarget Webcast, “Green Computing Beyond the Data Center.” This TechTarget IT Briefing covers the following topics: • Introduction . 1 • Data Centers: Some Surprising Statistics . 1 • Power Usage: 2007. 1 • Projected Power Usage: 2011 . 1 • Beyond the Data Center: “Desktop Warming” . 1 • Actions to Take to Combat Desktop Warming . .2 • Measure Power Usage . .2 • Become ENERGY STAR-Compliant . .2 • Educate End Users . 3 • Let Your PC Sleep . 3 • Set Energy Reduction Goals. 3 • Report Back on Energy Saving Measures . 3 • Resources Available from Faronics Corporation and Others . 3 • Summary . 4 Copyright © 2007 Faronics. All Rights Reserved. Reproduction, adaptation, or translation without prior written permission is prohibited, except as allowed under the copyright laws. About TechTarget IT Briefings TechTarget IT Briefings provide the pertinent information that senior-level IT executives and managers need to make educated purchasing decisions. Originating from our industry-leading Vendor Connection and Expert Webcasts, TechTarget-produced IT Briefings turn Webcasts into easy-to-follow technical briefs, similar to white papers. Design Copyright © 2004–2007 TechTarget. All Rights Reserved. For inquiries and additional information, contact: Dennis Shiao Director of Product Management, Webcasts [email protected] Green Computing Beyond the Data Center Introduction comparison, the current annual power consumed by data centers would be sufficient to desalinate enough This document explains “green” computing. -
Energy Efficient Scheduling of Parallel Tasks on Multiprocessor Computers
J Supercomput (2012) 60:223–247 DOI 10.1007/s11227-010-0416-0 Energy efficient scheduling of parallel tasks on multiprocessor computers Keqin Li Published online: 12 March 2010 © Springer Science+Business Media, LLC 2010 Abstract In this paper, scheduling parallel tasks on multiprocessor computers with dynamically variable voltage and speed are addressed as combinatorial optimiza- tion problems. Two problems are defined, namely, minimizing schedule length with energy consumption constraint and minimizing energy consumption with schedule length constraint. The first problem has applications in general multiprocessor and multicore processor computing systems where energy consumption is an important concern and in mobile computers where energy conservation is a main concern. The second problem has applications in real-time multiprocessing systems and environ- ments where timing constraint is a major requirement. Our scheduling problems are defined such that the energy-delay product is optimized by fixing one factor and minimizing the other. It is noticed that power-aware scheduling of parallel tasks has rarely been discussed before. Our investigation in this paper makes some initial at- tempt to energy-efficient scheduling of parallel tasks on multiprocessor computers with dynamic voltage and speed. Our scheduling problems contain three nontriv- ial subproblems, namely, system partitioning, task scheduling, and power supply- ing. Each subproblem should be solved efficiently, so that heuristic algorithms with overall good performance can be developed. The above decomposition of our op- timization problems into three subproblems makes design and analysis of heuristic algorithms tractable. A unique feature of our work is to compare the performance of our algorithms with optimal solutions analytically and validate our results experimen- tally, not to compare the performance of heuristic algorithms among themselves only experimentally. -
A Study of Power Management Techniques in Green Computing Sadia Anayat
I.J. Education and Management Engineering, 2020, 3, 42-51 Published Online June 2020 in MECS (http://www.mecs-press.net) DOI: 10.5815/ijeme.2020.03.05 Available online at http://www.mecs-press.net/ijem A Study of Power Management Techniques in Green Computing Sadia Anayat Govt. College Woman University Sialkot Received: 06 April 2020; Accepted: 13 May 2020; Published: 08 June 2020 Abstract Cloud computing is a mechanism for allowing effective, easy and on-demand network access to a shared pool of computer resources. Instead of storing data on PCs and upgrading softwares to match your requirements, the internet services are used to save data or use its apps remotely. It perform the function of processing and storing a database to provide consumers with versatility. For specialized computational needs, the supercomputers are used in cloud computing. Because of execution of such high performances computers, a great deal of power devoured and the result is that certain dangerous gases are often emitted in a comparable amounts of energy. Green computing is the philosophy that aim to restrict this technique by introducing latest models that would work effectively while devouring less resources and having less people. The basic goal of this study is to discuss the techniques of green computing for achieving low power consumption. We analyze multiple power management techniques used in the virtual enviroment and further green computing uses are mentioned. The advantages of green computing discussed in this study have shown that it help in cutting cost of companies, save enviroment and maintain its sustainability. This work suggested that researchers are becoming ever more invloved in green computing technology. -
Green Computing- a Case for Data Caching and Flash Disks?
GREEN COMPUTING- A CASE FOR DATA CACHING AND FLASH DISKS? Karsten Schmidt, Theo Härder, Joachim Klein, Steffen Reithermann University of Kaiserslautern, Gottlieb-Daimler-Str., 67663 Kaiserslautern, Germany {kschmidt, haerder, jklein, reitherm}@informatik.uni-kl.de Keywords: Flash memory, flash disks, solid state disk, data caching, cache management, energy efficiency. Abstract: Green computing or energy saving when processing information is primarily considered a task of processor development. However, this position paper advocates that a holistic approach is necessary to reduce power consumption to a minimum. We discuss the potential of integrating NAND flash memory into DB-based ar- chitectures and its support by adjusted DBMS algorithms governing IO processing. The goal is to drastically improve energy efficiency while comparable performance as is disk-based systems is maintained. 1 INTRODUCTION personal digital assistants (PDAs), pocket PCs, or digital cameras and provides the great advantage of Recently, green computing gained a lot of attention zero-energy needs, when idle or turned off. In these and visibility also triggered by public discussion cases, flash use could be optimally configured to concerning global warming due to increased CO2 typical single-user workloads known in advance. emissions. It was primarily addressed by enhanced However, not all aspects count for DB servers and research and development efforts to reduce power not all DBMS algorithms can be directly applied usage, heat transmission, and, in turn, cooling -
Green Computing: Techniques and Challenges in Creating Friendly Computing Environments in Developing Economies
International Journal of Research and Scientific Innovation (IJRSI) | Volume VII, Issue IX, September 2020 | ISSN 2321–2705 Green Computing: Techniques and Challenges in Creating Friendly Computing Environments in Developing Economies Kadima Victor Chitechi Masinde Muliro University of Science & Technology, Kenya Abstract: The adoption of ICT’s has currently realised adoption of the technique, most electronic consumers have advancements in technologies such as faster internet connectivity implemented their devices to run on sleep mode (Sidhu, has changed the way we live, work, learn and play , it is affecting 2016). our environment in several ways. Today use of ICT has enabled and created many opportunities for employment round the This concept of green computing can be used in globe, as the computer literacy becomes a prerequisite condition environmental science to offer economically possible for sustenance in almost every sector. Besides this, ICT has solutions for conserving natural resources. Green computing impacted both positively and negatively on our environment. To is designing, manufacturing, using and disposing of computers grow awareness about environmental impact of computing, and its resources efficiently with minimal or no impact on green technology is gaining increasing importance. Green ICT as environment) (Sidhu, 2016). The goals of Green computing a concept has been popularized to achieve energy efficiency and minimize consumption of energy by e-equipment. Climate are to manage the power and energy efficiency, choice of eco- change is one of the main environmental concerns being friendly hardware and software, and recycling the material to addressed globally; our environment has been changing thus increase. Green computing, also called green technology, is posted more worrying because it is impossible to predict exactly the environmentally sustainable use of computers and related how it will develop and what the consequences will be. -
A Survey of Resource Scheduling Algorithms in Green Computing
Arshjot Kaur et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (4) , 2014, 4886-4890 A Survey of Resource Scheduling Algorithms in Green Computing Arshjot Kaur, Supriya Kinger Department of Computer Science and Engineering, SGGSWU, Fatehgarh Sahib, Punjab, India (140406) Abstract-Cloud computing has emerged as an optimal way of C. Cloud service models sharing and providing resources over the internet. Its service models have helped a lot in providing sources easily to the users. Green computing is now gaining a lot of importance and is an intense situation where all the major issues need to be resolved. Rapid growth of the internet, increasing cooling requirements and increased rate of power has led to adoption of green computing. Implementation of green computing has become important so as to secure the environment. Emphasis has been laid on virtualisation, power management, material recycling and telecommunicating. Still,a lot needs to be done. The work habits of computer users and business can be modified to minimise adverse impact on the global environment. Job scheduling is one of the challenging issues in Figure 1.Cloud service models green computing. A lot of work needs to be done on deciding Figure 1 explains the following: the priority of jobs and time issues so as to provide efficient 1. Infrastructure as a service (Iaas): It is the first layer of execution of user jobs. Assigning the right priority with loud computing. This model helps in managing our reduced time and less energy consumption needs to be focussed on. applications, data operating system, middleware and runtime. -
Comptia Fc0-Gr1 Exam Questions & Answers
COMPTIA FC0-GR1 EXAM QUESTIONS & ANSWERS Number : FC0-GR1 Passing Score : 800 Time Limit : 120 min File Version : 31.4 http://www.gratisexam.com/ COMPTIA FC0-GR1 EXAM QUESTIONS & ANSWERS Exam Name: CompTIA Strata Green IT Exam Visualexams QUESTION 1 A small business currently has a server room with a large cooling system that is appropriate for its size. The location of the server room is the top level of a building. The server room is filled with incandescent lighting that needs to continuously stay on for security purposes. Which of the following would be the MOST cost-effective way for the company to reduce the server rooms energy footprint? A. Replace all incandescent lighting with energy saving neon lighting. B. Set an auto-shutoff policy for all the lights in the room to reduce energy consumption after hours. C. Replace all incandescent lighting with energy saving fluorescent lighting. D. Consolidate server systems into a lower number of racks, centralizing airflow and cooling in the room. Correct Answer: C Section: (none) Explanation Explanation/Reference: QUESTION 2 Which of the following methods effectively removes data from a hard drive prior to disposal? (Select TWO). A. Use the remove hardware OS feature B. Formatting the hard drive C. Physical destruction D. Degauss the drive E. Overwriting data with 1s and 0s by utilizing software Correct Answer: CE Section: (none) Explanation Explanation/Reference: QUESTION 3 Which of the following terms is used when printing data on both the front and the back of paper? A. Scaling B. Copying C. Duplex D. Simplex Correct Answer: C Section: (none) Explanation Explanation/Reference: QUESTION 4 A user reports that their cell phone battery is dead and cannot hold a charge. -
HOW MODERATE-SIZED RISC-BASED Smps CAN OUTPERFORM MUCH LARGER DISTRIBUTED MEMORY Mpps
HOW MODERATE-SIZED RISC-BASED SMPs CAN OUTPERFORM MUCH LARGER DISTRIBUTED MEMORY MPPs D. M. Pressel Walter B. Sturek Corporate Information and Computing Center Corporate Information and Computing Center U.S. Army Research Laboratory U.S. Army Research Laboratory Aberdeen Proving Ground, Maryland 21005-5067 Aberdeen Proving Ground, Maryland 21005-5067 Email: [email protected] Email: sturek@arlmil J. Sahu K. R. Heavey Weapons and Materials Research Directorate Weapons and Materials Research Directorate U.S. Army Research Laboratory U.S. Army Research Laboratory Aberdeen Proving Ground, Maryland 21005-5066 Aberdeen Proving Ground, Maryland 21005-5066 Email: [email protected] Email: [email protected] ABSTRACT: Historically, comparison of computer systems was based primarily on theoretical peak performance. Today, based on delivered levels of performance, comparisons are frequently used. This of course raises a whole host of questions about how to do this. However, even this approach has a fundamental problem. It assumes that all FLOPS are of equal value. As long as one is only using either vector or large distributed memory MIMD MPPs, this is probably a reasonable assumption. However, when comparing the algorithms of choice used on these two classes of platforms, one frequently finds a significant difference in the number of FLOPS required to obtain a solution with the desired level of precision. While troubling, this dichotomy has been largely unavoidable. Recent advances involving moderate-sized RISC-based SMPs have allowed us to solve this problem. -
Green Computing As a Mandatory Revolution for Proper End-Of-Life
Journal of Information and Operations Management ISSN: 0976–7754 & E-ISSN: 0976–7762 , Volume 3, Issue 1, 2012, pp-174– 177 Available online at http://www.bioinfo.in/contents.php?id=55 GREEN COMPUTING AS A MANDATORY REVOLUTION FOR PROPER END-OF-LIFE PRAVEEN TRIPATHI Department of Computer Science, Institute of Hotel Management Studies, BEL Road, Balbhadrapur, Kotdwara Uttarakhand, 246149 *Corresponding Author: Email- [email protected] Received: December 12, 2011; Accepted: January 15, 2012 Abstract- Green computing is the study and realization of using computing resources efficiently as well as eco-friendly. Computers certainly make up a large part of many people lives and traditionally are extremely damaging to the environment. Manufacturers of computer and its parts have been espousing the green cause to help protect environment from computers and e-waste in any way. Probably the Energy Star has probably initiated the “green computing” movement by sustaining the control on the use of toxic materials, conserving the energy wasted by computer like machines at idle time. This article is obviously an effort to spread out the basic need of green computing to protect the envi- ronment. Keywords- Green Computing, Landfill, E-waste, EPEAT, Recycling, EUP, Green browsers, Green search engine, Green computing certifica- tion etc. Citation: Praveen Tripathi (2012) Green Computing as a mandatory revolution for proper end-of-life. Journal of Information and Operations Management ISSN: 0976–7754 & E-ISSN: 0976–7762, Volume 3, Issue 1, pp-174-177. Copyright: Copyright© 2012 Praveen Tripathi . This is an open-access article distributed under the terms of the Creative Commons Attribu- tion License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cred- ited.