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High Performance Energy-Aware Cloud Computing: A Scope of Future Computing
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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This publication discusses high-performance energyaware cloud (HPEAC) computing state-of-the-art strategies to acknowledgement and categorization of systems and devices, optimization methodologies, and ...
Objective of Optimization incorporates multiple calculation blends, such as "execution time", "consumption of energy"& "temperature" with the consideration of limiting power/energy consumption. ...
We therefore include in our classification study of these performance metrics for optimization of techniques regarding the energy-aware regulation and measurements. ...
doi:10.35940/ijitee.e3029.049620
fatcat:6a2prilpyjgztl3sxdgeql5k24
Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments
2019
Scientific Programming
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The paper presents state of the art of energy-aware high-performance computing (HPC), in particular identification and classification of approaches by system and device types, optimization metrics, and ...
Based on our review, we identified a set of open areas and important up-to-date problems concerning methods and tools for modern HPC systems allowing energy-aware processing. ...
A survey of techniques for improving energy efficiency in distributed systems focused more on grids and clouds was presented in [8] . ...
doi:10.1155/2019/8348791
fatcat:ib3dvjzg2bhhjnnklb4kaj2eqi
Analysis and optimization of power consumption in the iterative solution of sparse linear systems on multi-core and many-core platforms
2011
2011 International Green Computing Conference and Workshops
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Energy efficiency is a major concern in modern high-performance-computing. Still, few studies provide a deep insight into the power consumption of scientific applications. ...
Our experiments conclusively reveal how the combination of these two techniques deliver a notable reduction of energy consumption without a noticeable impact on computational performance. ...
Roca, for their technical support with the energy measurement framework. The authors from the Universidad Jaume I were supported by project CICYT TIN2008-06570-C04-01 and FEDER. ...
doi:10.1109/igcc.2011.6008594
dblp:conf/green/AnztHACFMQ11
fatcat:j5xnjer6qnegrewxmbo7nqjzba
Environmental Sustainability Coding Techniques for Cloud Computing
2020
International Journal of Advanced Computer Science and Applications
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Many improvements can be done in regard to energy efficiency from the software perspective by considering and paying attention to the energy consumption aspects of software for environmental sustainability ...
The aim of the research is to propose energy-aware profiling environmental sustainability techniques based on parameterized development technique to reduce the energy that has been spent and measure its ...
Energy Optimization in Cloud Computing Energy efficiency can be well-defined as reduction of energy used for a given service or level of activity [4] . ...
doi:10.14569/ijacsa.2020.0111031
fatcat:3lxl73krcnafxnzq4sqrsfmwhm
A Switch Based Resource Management Method for Energy Optimization in Cloud Data Center
2021
International Scientific Journal of Computing
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A lot of work has been done on reducing the energy requirement of data centers using optimal use of CPUs. ...
VM migration has been performed for optimal use of physical machines as well as switches used to connect physical machines in data center. ...
Flow Chart for Two Level Energy Optimization Allocation of PM for a VM is done using power aware best fit decreasing algorithm [16] . ...
doi:10.47839/ijc.20.1.2103
fatcat:6hwix7qzqfdg5mfrv57unz77bi
Energy Efficiency: The New Holy Grail of Data Management Systems Research
[article]
2009
arXiv
pre-print
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Despite the growing body of research in power management techniques, there has been little work to date on energy efficiency from a data management software perspective. ...
Lastly, we point out existing places within database systems that are promising for energy-efficiency optimizations and urge the data management systems community to shift focus from performance-oriented ...
Thus, unlike performance optimization, we can improve energy efficiency by reducing power, time, or both.
Energy Cost vs. ...
arXiv:0909.1784v1
fatcat:sxv4nvru75hizeiowqwqo2t35y
Power Optimization of CFD Applications on Heterogeneous Architectures
2017
International Journal of Computer Applications
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Similarly, for online-offline mode, we save 22% of energy with a performance loss of 0.3%. ...
We reduce the overall power consumption with a small performance loss. Precisely, for DVFS, we save 4% to 23.5% of energy with a performance loss of 0.6% to 9.8%. ...
In this paper, we present an approach to improve the energy efficiency using combination of different power saving techniques for CFD applications. ...
doi:10.5120/ijca2017914148
fatcat:ytyitk5vxfd4zlbr7ntjlwjwsu
A survey of power and energy efficient techniques for high performance numerical linear algebra operations
2014
Parallel Computing
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, and summarize state-of-the-art techniques for achieving power and energy efficiency in each category individually. ...
The power and energy efficiency issue has become one of the primary concerns of extreme scale high performance scientific computing. ...
Subsequent work [86] presented an adaptive memory-aware strategy for improving energy efficiency of distributed matrix multiplication by trading more computation and communication at a time with memory ...
doi:10.1016/j.parco.2014.09.001
fatcat:twdkr2hrizebvglto6dwd7jqem
A COMPREHENSIVE STUDY ON EFFICIENT RESOURCE ALLOCATION BY QoS IN WIRELESS NETWORKS
2017
ICTACT Journal on Communication Technology
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This paper gives a survey and classification of the important QoS approaches proposed for various Wireless Networks. ...
Wireless Networks are growing as a key solution to provide broadband and mobile wireless connectivity in a flexible and economical way. ...
LTE -A NETWORKS A novel energy aware resource allocation scheme is used in LTE (Long Term Evolution) aims to reduce the energy consumption without losing system performance. ...
doi:10.21917/ijct.2017.0216
fatcat:pvc32ffeufcilibtmzqsgvb2tm
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
[chapter]
2011
Advances in Computers
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This chapter concludes with a discussion on advancements identified in energy-efficient computing and our vision for future research directions. ...
In this study, we discuss causes and problems of high power/energy consumption, and present a taxonomy of energyefficient design of computing systems covering the hardware, operating system, virtualization ...
Acknowledgments We would like to thank Adam Wierman (California Institute of Technology), Kresimir Mihic (Stanford University), and Saurabh Kumar Garg (University of Melbourne) for their constructive comments ...
doi:10.1016/b978-0-12-385512-1.00003-7
fatcat:palea7dfrng2lf2xo26ptsgxum
An Efficient Dynamic Scheduling based on Greedy Algorithm for Heterogeneity Clouds
2017
IJARCCE
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The proposed introduce a model of task scheduling for a cloud-computing data center to energy-efficient dynamic task scheduling. Dynamic power aware greedy scheduling algorithm (DPAGS). ...
Cloud computing provides on-demand computing and storage services with high performance and high scalability. ...
We exploit to estimate the execution energy consumption of task k on VM k , considering VM efficiency, efficiency loss caused by virtualization, and the performance loss caused by high server workload. ...
doi:10.17148/ijarcce.2017.6323
fatcat:njdx2gannvfpnfusd52eo77nhu
Trends and techniques for energy efficient architectures
2010
2010 18th IEEE/IFIP International Conference on VLSI and System-on-Chip
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As voltage scaling has slowed down, innovative techniques have been pursued to improve the power efficiency of the increasingly demanding multi-core architectures. ...
In this paper we look at recent trends in multi-cores with a special focus on trends and techniques to address these challenges. 978-1-4244-6471-5/10/$26.00 c 2010 IEEE ...
In particular, high end systems have incorporated advanced cooling, sophisticated monitoring and dynamic power and thermal management in each generation to improve the energy efficiency. ...
doi:10.1109/vlsisoc.2010.5642673
dblp:conf/vlsi/JimenezGKCCBBV10
fatcat:6xdkteh6yfcmtojn6z223sms4m
A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks
[article]
2019
arXiv
pre-print
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Wide ranging efforts were devoted to optimize systems that handle big data in terms of various applications performance metrics and/or infrastructure energy efficiency. ...
However, the increasing traffic between and within the data centers that migrate, store, and process big data, is becoming a bottleneck that calls for enhanced infrastructures capable of reducing the congestion ...
All data are provided in full in the results section of this paper. ...
arXiv:1910.00731v1
fatcat:kvi3br4iwzg3bi7fifpgyly7m4
Compiler Directed Battery-Aware Implementation of Mobile Applications
2006
2006 International Conference on Emerging Technologies
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Handheld embedded systems are crucial to obtain high performance for execution time as well as efficient battery usage. ...
Furthermore, the performance improves by a factor of 0.489 and the energy consumption decreases by a factor of 0.203 over the baseline executable code. ...
For these performance indices however a major drawback is the high architectural dependency. ...
doi:10.1109/icet.2006.335979
fatcat:r6jd4s5tajhlvblobfgy4okbze
ENERGY EFFICIENT AND INTERFERENCE AWARE PROVISIONING IN VIRTUALIZED SERVER CLUSTER ENVIRONMENT
2014
Journal of Computer Science
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Experimental results on different scenarios with our energy efficiency and interference aware approach shows a reduction in energy consumption to the tune of 8 to 58% and 10× improvement in per request ...
average response time in contrast to a default energy efficiency and interference oblivious approach. ...
Our focus is more on to improve performance and optimally reduce energy consumption of the entire virtualized server cluster environment with an integrated scheme using DPM and DVFS techniques. ...
doi:10.3844/jcssp.2014.143.156
fatcat:livfktuhezajrid2nicrxqwqvq
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