- Home
- Publications
- Publication Search
- Publication Details
Title
Hybrid Approach for Virtual Machine Allocation in Cloud Computing
Authors
Keywords
-
Journal
Sustainable Computing-Informatics & Systems
Volume -, Issue -, Pages 100922
Publisher
Elsevier BV
Online
2023-10-13
DOI
10.1016/j.suscom.2023.100922
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Optimally detecting and classifying the transmission line fault in power system using hybrid technique
- (2022) P. Rajesh et al. ISA TRANSACTIONS
- Dynamic placement of virtual machines using an improved multi‐objective teaching‐learning based optimization algorithm in cloud
- (2022) Na Wang et al. Transactions on Emerging Telecommunications Technologies
- A novel differential dynamic gradient descent optimization algorithm for resource allocation and offloading in the COMEC system
- (2022) Miaojiang Chen et al. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
- Hybrid Optimization Algorithm for VM Migration in Cloud Computing
- (2022) Mohd Sha Alam Khan et al. COMPUTERS & ELECTRICAL ENGINEERING
- GPDS: A multi-agent deep reinforcement learning game for anti-jamming secure computing in MEC network
- (2022) Miaojiang Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- An improved thermodynamic simulated annealing-based approach for resource-skewness-aware and power-efficient virtual machine consolidation in cloud datacenters
- (2021) Pedram Saeedi et al. Soft Computing
- Software-Defined Networks for Resource Allocation in Cloud Computing: A Survey
- (2021) Arwa Mohamed et al. Computer Networks
- Multi-objective fault-tolerant optimization algorithm for deployment of IoT applications on fog computing infrastructure
- (2021) Yaser Ramzanpoor et al. Complex & Intelligent Systems
- GBRAMP: A generalized backtracking regularized adaptive matching pursuit algorithm for signal reconstruction
- (2021) Mojisola Grace Asogbon et al. COMPUTERS & ELECTRICAL ENGINEERING
- EnTruVe: ENergy and TRUst-aware Virtual Machine allocation in VEhicle fog computing for catering applications in 5G
- (2021) Fatin Hamadah Rahman et al. Future Generation Computer Systems-The International Journal of eScience
- A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems
- (2021) Miaojiang Chen et al. KNOWLEDGE-BASED SYSTEMS
- An Efficient Kernel FCM and Artificial Fish Swarm Optimization Based Optimal Resource Allocation in Cloud
- (2020) Pravin Albert et al. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
- An efficient green computing fair resource allocation in cloud computing using modified deep reinforcement learning algorithm
- (2020) K. Karthiban et al. SOFT COMPUTING
- Thermal-Aware Virtual Machine Allocation for Heterogeneous Cloud Data Centers
- (2020) Abbas Akbari et al. Energies
- Virtual machine placement in cloud data centers using a hybrid multi-verse optimization algorithm
- (2020) Sasan Gharehpasha et al. ARTIFICIAL INTELLIGENCE REVIEW
- Power efficient virtual machine placement in cloud data centers with a discrete and chaotic hybrid optimization algorithm
- (2020) Sasan Gharehpasha et al. Cluster Computing
- An Intelligent Optimization Method for Optimal Virtual Machine Allocation in Cloud Data Centers
- (2020) Peiyun Zhang et al. IEEE Transactions on Automation Science and Engineering
- Hierarchical Multi-Agent Optimization for Resource Allocation in Cloud Computing
- (2020) Xiangqiang Gao et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- A clustered virtual machine allocation strategy based on a sleep-mode with wake-up threshold in a cloud environment
- (2019) Shunfu Jin et al. ANNALS OF OPERATIONS RESEARCH
- Performance analysis of ACO‐based improved virtual machine allocation in cloud for IoT‐enabled healthcare
- (2019) Kadarla Kavitha et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now