相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Energy-Aware Virtual Machine Allocation in DVFS-Enabled Cloud Data Centers
Javad Masoudi et al.
IEEE ACCESS (2022)
SLAQA: Quality-level Aware Scheduling of Task Graphs on Heterogeneous Distributed Systems
Sanjit Kumar Roy et al.
ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS (2021)
An efficient energy-aware approach for dynamic VM consolidation on cloud platforms
Minhaj Ahmad Khan
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2021)
A stochastic process-based server consolidation approach for dynamic workloads in cloud data centers
Hossein Monshizadeh Naeen et al.
JOURNAL OF SUPERCOMPUTING (2020)
Utilization-aware energy-efficient virtual machine placement in cloud networks using NSGA-III meta-heuristic approach
Elnaz Parvizi et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2020)
A dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers
Ennio Torre et al.
INFORMATION AND SOFTWARE TECHNOLOGY (2020)
Virtual Machine Consolidation in Cloud Computing Systems: Challenges and Future Trends
Rahmat Zolfaghari et al.
WIRELESS PERSONAL COMMUNICATIONS (2020)
Energy Aware Virtual Machine Scheduling in Data Centers
Yeliang Qiu et al.
ENERGIES (2019)
Optimal Virtual Machine Placement Based on Grey Wolf Optimization
Ammar Al-Moalmi et al.
ELECTRONICS (2019)
An Ant Colony System for energy-efficient dynamic Virtual Machine Placement in data centers
Fares Alharbi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
EATSDCD: A green energy-aware scheduling algorithm for parallel task-based application using clustering, duplication and DVFS technique in cloud datacenters
Behnam Barzegar et al.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2019)
Energy-aware virtual machine allocation for cloud with resource reservation
Xinqian Zhang et al.
JOURNAL OF SYSTEMS AND SOFTWARE (2019)
SLA-Aware and Energy-Efficient VM Consolidation in Cloud Data Centers Using Robust Linear Regression Prediction Model
Lianpeng Li et al.
IEEE ACCESS (2019)
Energy-aware VM placement algorithms for the OpenStack Neat consolidation framework
Fikru Feleke Moges et al.
JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS (2019)
Multi-Objective VM Consolidation Based on Thresholds and Ant Colony System in Cloud Computing
Hui Xiao et al.
IEEE ACCESS (2019)
A control theoretical view of cloud elasticity: taxonomy, survey and challenges
Amjad Ullah et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2018)
Robust optimization for energy-efficient virtual machine consolidation in modern datacenters
Robayet Nasim et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2018)
Adaptive selection of dynamic VM consolidation algorithm using neural network for cloud resource management
Joseph Nathanael Witanto et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing
Xiao-Fang Liu et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2018)
Energy-Aware Virtual Machine Consolidation Algorithm Based on Ant Colony System
Azra Aryania et al.
JOURNAL OF GRID COMPUTING (2018)
An energy efficient and SLA compliant approach for resource allocation and consolidation in cloud computing environments
Mohammad-Hossein Malekloo et al.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS (2018)
Energy-efficient VM-placement in cloud data center
Sambit Kumar Mishra et al.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS (2018)
Reliability and high availability in cloud computing environments: a reference roadmap
Mohammad Reza Mesbahi et al.
HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES (2018)
Optimizing energy consumption for a performance-aware cloud data center in the public sector
Kyungmee Chang et al.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS (2018)
A Multi-Objective Ant Colony System Algorithm for Virtual Machine Placement in Traffic Intense Data Centers
Yao Qin et al.
IEEE ACCESS (2018)
A Novel Self-Adaptive VM Consolidation Strategy Using Dynamic Multi-Thresholds in IaaS Clouds
Lei Xie et al.
FUTURE INTERNET (2018)
An Energy Aware Unified Ant Colony System for Dynamic Virtual Machine Placement in Cloud Computing
Xiao-Fang Liu et al.
ENERGIES (2017)
Power efficient server consolidation for Cloud data center
Somnath Mazumdar et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2017)
DataABC: A fast ABC based energy-efficient live VM consolidation policy with data-intensive energy evaluation model
Jianhua Jiang et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2017)
Multi-Population Ant Colony Algorithm for Virtual Machine Deployment
Xuemei Sun et al.
IEEE ACCESS (2017)
Optimizing VM allocation and data placement for data-intensive applications in cloud using ACO metaheuristic algorithm
T. P. Shabeera et al.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH (2017)
Virtual machine consolidated placement based on multi-objective biogeography-based optimization
Qinghua Zheng et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2016)
Power reduction in HPC data centers: a joint server placement and chassis consolidation approach
Ali Pahlavan et al.
JOURNAL OF SUPERCOMPUTING (2014)
A Distributed Parallel Genetic Algorithm of Placement Strategy for Virtual Machines Deployment on Cloud Platform
Yu-Shuang Dong et al.
SCIENTIFIC WORLD JOURNAL (2014)
A multi-objective ant colony system algorithm for virtual machine placement in cloud computing
Yongqiang Gao et al.
JOURNAL OF COMPUTER AND SYSTEM SCIENCES (2013)
Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
Anton Beloglazov et al.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2012)
Special section: Green computing
Rongbo Zhu et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2012)
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
Anton Beloglazov et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2012)