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A Survey of Virtual Machine Placement Techniques in a Cloud Data Center

Zoha Usmani, Shailendra Singh
2016 Procedia Computer Science  
Energy consumption of massive-scale cloud data centers is increasing unacceptably.  ...  There is a need to improve the energy efficiency of such data centers using Server Consolidation which aims at minimizing the number of Active Physical Machines (APMs) in a data center.  ...  Dupont et al. 29 introduced a flexible and extensible framework which is based on the VM Repacking Scheduling Problem (VRSP) for energy-aware resource allocation in data centers considering SLA constraints  ... 
doi:10.1016/j.procs.2016.02.093 fatcat:yrgmosxvszgv7jjc4vmyycksta

A Survey on Job Scheduling in Big Data

M. Senthilkumar, P. Ilango
2016 Cybernetics and Information Technologies  
Various scheduling algorithms of the MapReduce model using Hadoop vary with design and behavior, and are used for handling many issues like data locality, awareness with resource, energy and time.  ...  Big Data Applications with Scheduling becomes an active research area in last three years. The Hadoop framework becomes very popular and most used frameworks in a distributed data processing.  ...  Cost base optimizer for complex MapReduce programs is introduced for optimization of large space configuration parameters of the program.  ... 
doi:10.1515/cait-2016-0033 fatcat:psrtc3l3dzgkfklqjl6hr3qczi

2019 Index IEEE Transactions on Cloud Computing Vol. 7

2020 IEEE Transactions on Cloud Computing  
., +, TCC July- Sept. 2019 827-837 Dynamic programming Cost Optimization for Dynamic Replication and Migration of Data in Cloud Data Centers.  ...  -March 2019 116-128 Linear programming Cost Optimization for Dynamic Replication and Migration of Data in Cloud Data Centers.  ... 
doi:10.1109/tcc.2020.2969066 fatcat:uxhqc6ryenen7brk6qnejnciaa

A Hybrid Method for Reduction of Energy Consumption in Cloud Networks

Mehran Tarahomi, Mohammad Izadi
2019 Journal of Networking Technology  
Different methods of energy saving in data centers can be divided to three general categories: 1) energy saving methods based on balancing the loads of resources; 2) scheduling by the help of hardware  ...  It is also possible to dynamically alter the allocated resources of a virtual machine.  ...  Study Include 1 - 1 Developing a dynamic algorithm based on load balance and hardware techniques for optimization of energy consumption with considering for scheduling, 2-Monitoring the exploitation amount  ... 
doi:10.6025/jnt/2019/10/3/92-103 fatcat:5stozg3y5ja4zhzdeasw3ulw4a

Resource Scheduling in Data-Centric Systems [chapter]

Zujie Ren, Xiaohong Zhang, Weisong Shi
2015 Handbook on Data Centers  
and energy consumed by the data center.  ...  [104] proposed a dynamic flow scheduling system, called Hedera, for multi-stage switch topologies found in data centers.  ... 
doi:10.1007/978-1-4939-2092-1_46 fatcat:dxglcjotsrahtbzehtx7c54ulm

Review of the Research on the Optimization of the Energy Consumption of the Cloud Platform

Chun-mao Jiang, Yi-bing Li, Li Zhi-cong
2016 International Journal of Smart Home  
constraint application, the optimization for energy consumption and resources in cloud computing.  ...  Optimized time through rational distribution, fuzzy clustering, satisfaction, linear programming, but did not consider the cost of energy consumption, scheduling overhead, reliability, cost, dynamics of  ...  For high-energy applications according to the initial layout of the type of research data, data center set up computed node distribution.  ... 
doi:10.14257/ijsh.2016.10.8.23 fatcat:hwbgcqe4sfcntlesjsx5yj2ssu

A hybrid algorithm to reduce energy consumption management in cloud data centers

Mehran Tarahomi, Mohammad Izadi
2019 International Journal of Electrical and Computer Engineering (IJECE)  
Different methods of energy saving in data centers can be divided into three general categories: 1) methods based on load balancing of resources; 2) using hardware facilities for scheduling; 3) considering  ...  features of virtual environments for scheduling and balancing dynamic loads by live migration method.  ...  Developing a dynamic algorithm based on load balancing and hardware techniques for optimizing energy consumption considering scheduling, b. Monitoring the provided level of service by hosts, c.  ... 
doi:10.11591/ijece.v9i1.pp554-561 fatcat:t7nwmt3k75d2hipwchcwu5z3zm

RESOURCE SCHEDULING IN CLOUD ENVIRONMET: A SURVEY

Neeraj Mangla, Manpreet Singh, Sanjeev Rana
2016 Advances in Science and Technology Research Journal  
With its growing application and popularization, IT companies are rapidly deploying distributed data centers globally, posing numerous challenges in terms of scheduling of resources under different administrative  ...  A comparative analysis of various resource scheduling techniques focusing on key performance parameters like Energy efficiency, Virtual Machine allocation and migration, Cost-effectiveness and Service-Level  ...  A system based on virtualization for the allocation of data center resources dynamically on the basis of demands of the application is presented [87] .  ... 
doi:10.12913/22998624/62746 fatcat:dyky2j5kxbaulllhmtcidt6cjm

AI-Powered Green Cloud and Data Center

Jun Yang, Wenjing Xiao, Chun Jiang, M. Shamim Hossain, Ghulam Muhammad, Syed Umar Amin
2019 IEEE Access  
According to statistics, data centers' energy consumption has accounted for 50% of operating costs of the data centers.  ...  INDEX TERMS Green cloud and data center, energy optimizing, deep learning, particle swarm optimization.  ...  Scheduling optimization module allocates resources to data center based on completion time and multi-target scheduling scheme for energy consumption.  ... 
doi:10.1109/access.2018.2888976 fatcat:piadilpr4jb6vbnmz2znuaouea

Intelligent scheduling with deep fusion of hardware-software energy-saving principles for greening stochastic nonlinear heterogeneous super-systems

Jinglian Wang, Bin Gong, Hong Liu, Shaohui Li
2019 Applied intelligence (Boston)  
super-systems whether for data or computing intensive stochastic tasks.  ...  decision-making based on mathematical model.  ...  used in cluster-level data center are derived from empirical statistics [15, 22] or approximate linear mathematical models [9, 29] .  ... 
doi:10.1007/s10489-019-01424-5 fatcat:pygras6ojja7ppfto66z6vw4nu

Virtual Machine Scheduling Strategies in Cloud Computing- A Review

Supreeth S, Kiran Kumari Patil
2019 Zenodo  
We have proposed architecture for dynamic resource scheduling and load balancing. Dynamic resource scheduling and load balancing is the primary requirement of a cloud computing environment.  ...  Though immediate resource usage plays an important role in scheduling process of virtual machine but system variation and historical data also helps in increasing the optimization efficiency of VMs.  ...  Cloud environment based on virtual file sharing and to achieve optimal file sharing VM scheduling is used. Recently Traffic load balancing, energy consumption etc. Managed by cloud data centers.  ... 
doi:10.5281/zenodo.6144560 fatcat:vluzfhtr4ratlgq6ngnqkofthy

Energy Optimization in Cloud by Appling Horizontal clustering

Rupinder Kaur, Pardeep Singh
2016 Indian Journal of Science and Technology  
This goal leads to job scheduling as a main focus and challenging issues in cloud environment.  ...  Cloud environment application provider's main goal is to consume the resources perfectly and gain maximum profit.  ...  System level scheduling: It manages resources with the Data Center. • User level scheduling: It deals with the dynamically fluctuating resources demand.  ... 
doi:10.17485/ijst/2015/v8i1/96081 fatcat:263yw4rrxfewpp643kfuhupazy

A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks [article]

Sanaa Hamid Mohamed, Taisir E.H. El-Gorashi, Jaafar M.H. Elmirghani
2019 arXiv   pre-print
The MapReduce programming model and its widely-used open-source platform; Hadoop, are enabling the development of a large number of cloud-based services and big data applications.  ...  Wide ranging efforts were devoted to optimize systems that handle big data in terms of various applications performance metrics and/or infrastructure energy efficiency.  ...  All data are provided in full in the results section of this paper.  ... 
arXiv:1910.00731v1 fatcat:kvi3br4iwzg3bi7fifpgyly7m4

An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Network and Overloads

Kavita A. Sultanpure, L. S. S. Reddy
2018 International Journal of Electrical and Computer Engineering (IJECE)  
Hence, energy efficient task scheduling solutions are required to attain variable resource management, live migration, minimal virtual machine design, overall system efficiency, reduction in operating  ...  <p>Energy consumption in cloud computing occur due to the unreasonable way in which tasks are scheduled.  ...  Emergency Resource Scheduling Problem Based on Improved Particle Swarm Optimation [42] Long computing time Cloud Computing Resource Dynamic Optimization Considering Load Energy Test  ... 
doi:10.11591/ijece.v8i2.pp1018-1027 fatcat:xbuu2wg35zaulei4cu5jnnxv54

2021 Index IEEE Transactions on Sustainable Computing Vol. 6

2022 IEEE Transactions on Sustainable Computing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., see Fu PEFS: AI-Driven Prediction Based Energy-Aware Fault-Tolerant Scheduling Scheme for Cloud Data Center; TSUSC Oct.  ...  -Dec. 2021 586-598 Design and Analysis of Energy-Efficient Dynamic Range Approximate Log-ing Scheme for Cloud Data Center. Marahatta, A., +, TSUSC Oct.-Dec.  ... 
doi:10.1109/tsusc.2021.3136425 fatcat:jpk2jcwejbevfkq6cvgcpylie4
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