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Power-Aware Multi-data Center Management Using Machine Learning

Josep Ll. Berral, Ricard Gavalda, Jordi Torres
2013 2013 42nd International Conference on Parallel Processing  
using machine learning.  ...  Intelligent management is required to automate and manage these infrastructures, as the amount of resources and data to manage exceeds the capacities of human operators.  ...  In this paper we follow a line of work in which machine learning and data mining methods are used to build the model.  ... 
doi:10.1109/icpp.2013.102 dblp:conf/icpp/BerralGT13 fatcat:yjvzmdw6m5hijcusdg3x44ofwa

workload forecasting and resource management models based on machine learning for cloud computing environments [article]

Deepika Saxena, Ashutosh Kumar Singh
2021 arXiv   pre-print
Thereafter, a thorough survey of existing state-of-the-art contributions empowering machine learning based approaches in the field of cloud workload prediction and resource management are rendered.  ...  A conceptual framework for workload forecasting and resource management, categorization of existing machine learning based resources allocation techniques, and major challenges of inefficient distribution  ...  Virtual Resource Management Techniques in cloud data center can be broadly categorized into workload management at application, virtual machine and physical machine levels as shown in Fig. 3 .  ... 
arXiv:2106.15112v1 fatcat:cngak4jdvzhjlpfa4jibfne23m

Detailed author index

2007 2007 IEEE International Conference on Cluster Computing  
473 Motivating Co-Ordination of Power Management Solutions in Data Centers Tang, Qinghui 129 Thermal-Aware Task Scheduling for Data Centers Through Minimizing Heat Recirculation Tikotekar,  ...  Aware Task Scheduling for Data Centers Through Minimizing Heat Recirculation 474 On Developing a Fast, Cost-Effective and Non-Invasive Method to Derive Data Center Thermal Maps 476 Measurement-Based Power  ... 
doi:10.1109/clustr.2007.4629206 fatcat:dsvfpa7uffc75e4iotlu2vjrqe

2019 Index IEEE Transactions on Network and Service Management Vol. 16

2019 IEEE Transactions on Network and Service Management  
., +, T-NSM Sept. 2019 1059-1070 Ismael: Using Machine Learning to Predict Acceptance of Virtual Clusters in Data Centers.  ...  Martini, B., +, T-NSM Sept. 2019 965-979 Ismael: Using Machine Learning to Predict Acceptance of Virtual Clusters in Data Centers.  ...  Stochastic programming Tiered Cloud Storage via Two-Stage, Latency-Aware Bidding. Zhang  ... 
doi:10.1109/tnsm.2019.2960621 fatcat:zdo7i4plobaqxp54v7624wkrxi

2021 Index IEEE Transactions on Parallel and Distributed Systems Vol. 32

2022 IEEE Transactions on Parallel and Distributed Systems  
Ye, Z., +, TPDS Jan. 2021 116-130 Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning.  ...  ., +, TPDS March 2021 708-727 Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning.  ... 
doi:10.1109/tpds.2021.3107121 fatcat:e7bh2xssazdrjcpgn64mqh4hb4

A Systematic Review of Energy Management Strategies for Resource Allocation in the Cloud: Clustering, Optimization and Machine Learning

Stanly Jayaprakash, Manikanda Devarajan Nagarajan, Rocío Pérez de Prado, Sugumaran Subramanian, Parameshachari Bidare Divakarachari
2021 Energies  
A key aspect for cloud data centers is to achieve management methods to reduce energy consumption, increasing the profit and reducing the environmental impact, which is critical in the deployment of leading-edge  ...  In this review, various clustering, optimization, and machine learning methods used in cloud resource allocation to increase the energy efficiency and performance are analyzed, compared and classified.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/en14175322 fatcat:ivxj4gyobbdvlafyzbjcace76y

2019 Index IEEE Transactions on Cloud Computing Vol. 7

2020 IEEE Transactions on Cloud Computing  
-Dec. 2019 949-963 Contracts Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model.  ...  ., +, TCC July-Sept. 2019 733-743 Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model.  ... 
doi:10.1109/tcc.2020.2969066 fatcat:uxhqc6ryenen7brk6qnejnciaa

Energy-Aware High Performance Computing: A Taxonomy Study

Chang Cai, Lizhe Wang, Samee U. Khan, Jie Tao
2011 2011 IEEE 17th International Conference on Parallel and Distributed Systems  
This paper is devoted to categorize energy-aware computing methods for the high-end computing infrastructures, such as servers, clusters, data centers, and Grids/Clouds.  ...  energy-aware HPC studies.  ...  ANN techniques is used to learn and predict the complexities of the thermal topology in a data center. [34], [42] develop temperature-aware workload placement algorithms and present the first comprehensive  ... 
doi:10.1109/icpads.2011.59 dblp:conf/icpads/CaiWKT11 fatcat:2frg66nlyrf6djsbnmnfggs57u

Table of contents

2020 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
Authentication of Smartphone Users Using Machine Learning 0056 SESSION 3: BIG DATA, DATA MANAGEMENT AND ANALYTICS 03.1 1570675356 Interactive Visualization of 3D Terrain Data Stored in the Cloud  ...  Correlation 0143 05.4 1570675862 A Novel Framework for Data Center Risk Assessment 0148 05.5 1570675375 PAARS: Privacy Aware Access Regulation System 0155 SESSION 6: CLOUD AND VIRTUAL NETWORKS  ... 
doi:10.1109/uemcon51285.2020.9298057 fatcat:p4v3pn2m2zaaxdgobcaw5db76m

Application of Machine Learning Classification Algorithm to Cybersecurity Awareness

Shilpa Balan, Sanchita Gawand, Priyanka Purushu
2018 Information Technology and Management Science  
The research aims at building a classification machine learning algorithm to determine the awareness of cybersecurity by the common masses in the United States.  ...  Cybersecurity plays a vital role in protecting the privacy and data of people. In the recent times, there have been several issues relating to cyber fraud, data breach and cyber theft.  ...  In the present paper, we use Weka, an open source machine learning software, to analyse the data on cybersecurity awareness.  ... 
doi:10.7250/itms-2018-0006 fatcat:fks52wxytbhqrazduthwmnpmci

Special Issue on Algorithms for the Resource Management of Large Scale Infrastructures

Danilo Ardagna, Claudia Canali, Riccardo Lancellotti
2018 Algorithms  
Consequently, the resource management of this infrastructure requires innovative and efficient solutions.  ...  to adapt, manage, and cope with changes derived from continually changing workload and application deployment settings, without the need for human supervision.  ...  Last but not least, we would like to express our sincere gratitude to all the colleagues who collaborated with us during the review process.  ... 
doi:10.3390/a11120200 fatcat:6ahxt7gorjbbxaxupkuwsljypa

Survey on Energy Efficiency in Cloud Computing

Backialakshmi M, Hemavathi N
2016 Journal of Information Technology & Software Engineering  
A performance metric for Power Usage Efficiency (PUE) is used to measure how efficient a data center is in using its power and can be calculated by dividing the total facility power by the IT equipment  ...  A Multi-start local search heuristic for an energy efficient VMs assignment on top of the Open Nebula cloud manager Energy-aware Multi start Local Search algorithm (EMLS-ONC) that optimizes the energy  ... 
doi:10.4172/2165-7866.1000164 fatcat:4b5texop6nab5ldql6zjpderdm

2020 Index IEEE Transactions on Parallel and Distributed Systems Vol. 31

2021 IEEE Transactions on Parallel and Distributed Systems  
., +, TPDS Jan. 2019 15-28 Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning.  ...  Bauer, A., +, TPDS April 2019 800-813 Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning.  ... 
doi:10.1109/tpds.2020.3033655 fatcat:cpeatdjlpzhqdersvsk5nmzjkm

Table of contents

2021 IEEE Transactions on Network and Service Management  
Huan Yan, Tzu-Heng Lin, Ming Zeng, Jing Wu, Yong Li, and Depeng Jin 1789 Data Analytics and Machine Learning for Network Management Multi-Stage Optimized Machine Learning Framework for Network Intrusion  ...  Fan Wu, Wang Yang, Muhua Sun, Ju Ren, and Feng Lyu 1977 Management of Cloud and Edge Infrastuctures Online Virtual Machine Evacuation for Disaster Resilience in Inter-Data Center Networks . . . . . . .  ... 
doi:10.1109/tnsm.2021.3081191 fatcat:3m3td5s3snhfhcgukcuqoavdlu

ICCUBEA 2019 Table of Contents

2019 2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA)  
Table of Contents of Track 1: Performance Engineering Drone based Fire Detection and Crowd Management System 58 STATUS MONITORING SYSTEM FOR VERTICAL MILLING CENTER MACHINE 59 Implementation of Throttle  ...  and Many-Objective Optimization Problems: A Review 32 Embedding Affect Awareness into Online Learning Environment using Deep Neural Network 33 Behaviour Analysis Using Word Embedding & Machine  ... 
doi:10.1109/iccubea47591.2019.9128707 fatcat:3s3o5v2x3nepxeftk4jd64hjnq
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