Suchergebnisse - Workload Consolidation Algorithms. Keywords Cloud Computing

A novel virtual machine consolidation algorithm with server power mode management for energy-efficient cloud data centers.

Autoren: Lin, Hongrui Liu, Guodong Lin, Weiwei et al.

Quelle: Cluster Computing; Nov2024, Vol. 27 Issue 8, p11709-11725, 17p

Schlagwörter: VIRTUAL machine systems, SERVICE level agreements, ENERGY consumption, QUALITY of service, CLOUD computing, SERVER farms (Computer network management)

Cost Reduction Using SLA-Aware Genetic Algorithm for Consolidation of Virtual Machines in Cloud Data Centers.

Autoren: Naeen, Hossein Monshizadeh

Quelle: International Journal of Information & Communication Technology Research (2251-6107); 2022, Vol. 14 Issue 2, p14-22, 9p

Schlagwörter: CLOUD computing, DATA libraries, COST control, GENETIC algorithms, VIRTUAL machine systems

Dynamic Virtual Machine Consolidation in a Cloud Data Center Using Modified Water Wave Optimization.

Autoren: Medara, Rambabu Singh, Ravi Shankar

Quelle: Wireless Personal Communications; May2023, Vol. 130 Issue 2, p1005-1023, 19p

Schlagwörter: VIRTUAL machine systems, WATER waves, POLYWATER, SERVER farms (Computer network management), ON-demand computing

Firma/Körperschaft: CENTERS for Disease Control & Prevention (U.S.)

An Efficient Framework for Utilizing Underloaded Servers in Compute Cloud.

Autoren: Hema, M. Raja, S. Kanaga Suba

Quelle: Computer Systems Science & Engineering; 2023, Vol. 44 Issue 1, p143-156, 14p

Schlagwörter: CLOUD computing, SERVICE level agreements, VIRTUAL machine systems, ENERGY consumption, COST control

A resource scheduling method for cloud data centers based on thermal management.

Autoren: Mao, Li Chen, Rui Cheng, Huiwen et al.

Quelle: Journal of Cloud Computing (2192-113X); 6/10/2023, Vol. 12 Issue 1, p1-18, 18p

Schlagwörter: SERVER farms (Computer network management), CLOUD computing, VIRTUAL machine systems, SERVICE level agreements, ENERGY consumption, ANT algorithms

Adaptive Markov‐based approach for dynamic virtual machine consolidation in cloud data centers with quality‐of‐service constraints.

Autoren: Monshizadeh Naeen, Hossein Zeinali, Esmaeil Toroghi Haghighat, Abolfazl

Quelle: Software: Practice & Experience; Feb2020, Vol. 50 Issue 2, p161-183, 23p

Schlagwörter: SERVER farms (Computer network management), SERVICE level agreements, CLOUD storage, ONLINE algorithms, MARKOV processes, CLOUD computing

A novel hybrid meta‐heuristic‐oriented latency sensitive cloud object storage system.

Autoren: Nataraj, N. Nataraj, R. V.

Quelle: Concurrency & Computation: Practice & Experience; 9/25/2023, Vol. 35 Issue 21, p1-22, 22p

Schlagwörter: CLOUD storage, METAHEURISTIC algorithms, CLOUD computing, NP-hard problems, DATA transmission systems

Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing Deep

Autoren: Me (software Engineering Inderveer Chana The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: Me (software Engineering Inderveer Chana The Pennsylvania State University CiteSeerX Archives

Quelle: http://research.ijcaonline.org/volume50/number10/pxc3880939.pdf.

Schlagwörter: General Terms Cloud Computing, Workload Consolidation Algorithms. Keywords Cloud Computing, Energy Efficiency and Heterogeneous Workload Consolidation

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.258.6464; http://research.ijcaonline.org/volume50/number10/pxc3880939.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.258.6464
http://research.ijcaonline.org/volume50/number10/pxc3880939.pdf

Supportive particle swarm optimization with time-conscious scheduling (SPSO-TCS) algorithm in cloud computing for optimized load balancing.

Autoren: Menaka, M. Sendhil Kumar, K. S.

Quelle: International Journal of Cognitive Computing in Engineering; 2024, Vol. 5, p192-198, 7p

Energy efficiency of VM consolidation in IaaS clouds.

Autoren: Teng, Fei Yu, Lei Li, Tianrui et al.

Quelle: Journal of Supercomputing; Feb2017, Vol. 73 Issue 2, p782-809, 28p

Schlagwörter: CLOUD computing, ENERGY consumption, VIRTUAL machine systems, INFORMATION technology, ALGORITHMS

Server Consolidation Algorithms for Virtualized Cloud Environment with Variable Workloads: A Performance Evaluation

Autoren: Thakur, Susheel Jawahar Thakur, Arvind Kalia

Quelle: International Journal of Advanced Research in Computer Science; Vol. 5 No. 3 (2014): March-April 2014; 140-148 ; 0976-5697 ; 10.26483/ijarcs.v5i3

Dateibeschreibung: application/pdf

Relation: http://www.ijarcs.info/index.php/Ijarcs/article/view/2040/2028; http://www.ijarcs.info/index.php/Ijarcs/article/view/2040

Verfügbarkeit: http://www.ijarcs.info/index.php/Ijarcs/article/view/2040
https://doi.org/10.26483/ijarcs.v5i3.2040

Cloud Resource Scheduling Optimal Hypervisor (CRSOH) for Dynamic Cloud Computing Environment.

Autoren: Malarvizhi, N. Priyatharsini, G. Soniya Koteeswaran, S.

Quelle: Wireless Personal Communications; Nov2020, Vol. 115 Issue 1, p27-42, 16p

Schlagwörter: CLOUD computing, ALGORITHMS, HYPERVISOR (Computer software), ENERGY consumption, RESOURCE allocation, ENERGY conservation

Multi-objective dynamic virtual machine consolidation in the cloud using ant colony system.

Autoren: Ashraf, Adnan Porres, Ivan

Quelle: International Journal of Parallel, Emergent & Distributed Systems; Jan2018, Vol. 33 Issue 1, p103-120, 18p

Schlagwörter: VIRTUAL machine systems, CLOUD computing, ANT algorithms, DATA libraries, METAHEURISTIC algorithms

Design and Implementation of GPU Pass-Through System Based on OpenStack.

Autoren: Zhao, Linchang Jin, Yu Hu, Guoqing et al.

Quelle: Computation; Feb2025, Vol. 13 Issue 2, p38, 20p

Schlagwörter: VIRTUAL machine systems, CLOUD computing, NEUTRONS, BANDWIDTHS, MEMORY, PIXELS, OPTICAL disks

Resource Virtualization Complex Scheduling and Task Execution Strategy Based on CloudSim Simulation Framework.

Autoren: Dongxian Shi

Quelle: International Journal of Simulation: Systems, Science & Technology; 2016, Vol. 17 Issue 1, p1-7, 7p

Schlagwörter: SERVER farms (Computer network management), COMPUTER operators, COMPUTER rooms, CLOUD computing, ALGORITHMS

Energy-aware framework with Markov chain-based parallel simulated annealing algorithm for dynamic management of virtual machines in cloud data centers.

Autoren: Rajabzadeh, Mehdi Haghighat, Abolfazl

Quelle: Journal of Supercomputing; May2017, Vol. 73 Issue 5, p2001-2017, 17p

Schlagwörter: MARKOV chain Monte Carlo, SIMULATED annealing, VIRTUAL machine systems, CLOUD computing, SERVER farms (Computer network management)

CLOUD COMPUTING TECHNOLOGIES FOR GREEN ENTERPRISES.

Autoren: Lieponienė, Jurgita

Quelle: Applied Research in Studies & Practice / Taikomieji Tyrimai Studijose ir Praktikoje; 2022, Vol. 18 Issue 1, p44-48, 5p

Cloud-Based Simulation: The State-of-the-Art Computer Simulation Paradigm.

Autoren: Liu, Xiaocheng Qiu, Xiaogang Chen, Bin et al.

Quelle: 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced & Distributed Simulation; 1/ 1/2012, p71-74, 4p

Temperature and energy-aware consolidation algorithms in cloud computing.

Autoren: Yavari, Maede Ghaffarpour Rahbar, Akbar Fathi, Mohammad Hadi

Quelle: Journal of Cloud Computing (2192-113X); 8/27/2019, Vol. 8 Issue 1, pN.PAG-N.PAG, 1p

Schlagwörter: CLOUD computing, SERVICE level agreements, SERVER farms (Computer network management), RESOURCE allocation, ENERGY consumption, HEURISTIC algorithms, VIRTUAL machine systems

RO-BURST: A Robust Virtualization Cost Model for Workload Consolidation over Clouds.

Autoren: Wang, Jianzong Hua, Rui Zhu, Yifeng et al.

Quelle: 2012 12th IEEE/ACM International Symposium on Cluster, Cloud & Grid Computing (CCGRID 2012); 1/ 1/2012, p490-497, 8p