Multi-Objective Service Placement Scheme Based on Fuzzy-AHP System for Distributed Cloud Computing
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multi-Objective Service Placement Scheme Based on Fuzzy-AHP System for Distributed Cloud Computing
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 9, Issue 17, Pages 3550
Publisher
MDPI AG
Online
2019-08-29
DOI
10.3390/app9173550
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Mathematical Structures in Group Decision-Making on Resource Allocation Distributions
- (2019) Noah E. Friedkin et al. Scientific Reports
- A Dynamic Service Migration Mechanism in Edge Cognitive Computing
- (2019) Min Chen et al. ACM Transactions on Internet Technology
- Towards a proper service placement in combined Fog-to-Cloud (F2C) architectures
- (2018) V.B. Souza et al. Future Generation Computer Systems-The International Journal of eScience
- Minimizing SLA violation and power consumption in Cloud data centers using adaptive energy-aware algorithms
- (2018) Zhou Zhou et al. Future Generation Computer Systems-The International Journal of eScience
- Live Service Migration in Mobile Edge Clouds
- (2018) Andrew Machen et al. IEEE WIRELESS COMMUNICATIONS
- Migration Modeling and Learning Algorithms for Containers in Fog Computing
- (2018) Zhiqing Tang et al. IEEE Transactions on Services Computing
- A Survey on Service Migration in Mobile Edge Computing
- (2018) Shangguang Wang et al. IEEE Access
- Network-aware virtual machine migration in an overcommitted cloud
- (2017) Weizhe Zhang et al. Future Generation Computer Systems-The International Journal of eScience
- Hybrid Method for Minimizing Service Delay in Edge Cloud Computing Through VM Migration and Transmission Power Control
- (2017) Tiago Gama Rodrigues et al. IEEE TRANSACTIONS ON COMPUTERS
- Distributed Autonomous Virtual Resource Management in Datacenters Using Finite-Markov Decision Process
- (2017) Haiying Shen et al. IEEE-ACM TRANSACTIONS ON NETWORKING
- Migration Plan With Minimum Overall Migration Time or Cost
- (2017) Brigitte Jaumard et al. Journal of Optical Communications and Networking
- Service Oriented Cloud VM Placement Strategy for Internet of Things
- (2017) Yi-Hsuan Chen et al. IEEE Access
- Service placement for latency reduction in the internet of things
- (2016) Karima Velasquez et al. Annals of Telecommunications
- Use of proactive and reactive hotspot detection technique to reduce the number of virtual machine migration and energy consumption in cloud data center
- (2015) Subhadra Bose Shaw et al. COMPUTERS & ELECTRICAL ENGINEERING
- Energy-efficient migration and consolidation algorithm of virtual machines in data centers for cloud computing
- (2015) Hongjian Li et al. COMPUTING
- Energy efficient scheduling of virtual machines in cloud with deadline constraint
- (2015) Youwei Ding et al. Future Generation Computer Systems-The International Journal of eScience
- Dynamic VMs placement for energy efficiency by PSO in cloud computing
- (2015) Seyed Ebrahim Dashti et al. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
- Towards a Greener Cloud Infrastructure Management using Optimized Placement Policies
- (2014) J. A. Pascual et al. Journal of Grid Computing
- Energy Efficient Multiresource Allocation of Virtual Machine Based on PSO in Cloud Data Center
- (2014) An-ping Xiong et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Cost optimization of virtual infrastructures in dynamic multi-cloud scenarios
- (2012) Jose Luis Lucas-Simarro et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
- (2011) Anton Beloglazov et al. Future Generation Computer Systems-The International Journal of eScience
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started