Task-Oriented Service Allocation in Cloud Computing

2019 ◽  
Author(s):  
Lin Qian ◽  
Zhu Mei ◽  
Jun Yu ◽  
Guangxin Zhu ◽  
Feng Mei ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Service Allocation ◽  
Task Oriented

A Heuristic Approach for Service Allocation in Cloud Computing

2021 ◽  
pp. 904-919
Author(s):  
Ahmad Sharieh ◽  
Layla Albdour
Keyword(s):  
Cloud Computing ◽  
Fuzzy Sets ◽  
Supply And Demand ◽  
Critical Issue ◽  
Allocation Model ◽  
Computing Systems ◽  
Service Allocation ◽  
Fuzzy Input ◽  
Cloud Computing Service ◽  
Cloud User

Cloud computing systems are considered complex systems, because of the various classes of services offered for users and the big challenges for providers to meet the increasing demands. Thus, service allocation is a critical issue in cloud computing. Fuzzy modeling is one choice to deal with such complexity. In this paper, the authors introduce a new heuristic service allocation model for cloud computing service allocation. Fuzzy sets are used to determine a candidate cloud for providing a service and crisp sets are used to serve requests from a cloud. Supply and demand are used as the fuzzy input to provide the desired heuristic allocation model for the candidate cloud, and a set of parameters are used to determine a cloud user needs.

A Heuristic Approach for Service Allocation in Cloud Computing

2017 ◽  
Vol 7 (4) ◽  
pp. 60-74 ◽  
Author(s):  
Ahmad Sharieh ◽  
Layla Albdour
Keyword(s):  
Cloud Computing ◽  
Supply And Demand ◽  
Critical Issue ◽  
User Needs ◽  
Allocation Model ◽  
Computing Systems ◽  
Service Allocation ◽  
Fuzzy Input ◽  
Cloud Computing Service ◽  
Cloud User

Cloud computing systems are considered complex systems, because of the various classes of services offered for users and the big challenges for providers to meet the increasing demands. Thus, service allocation is a critical issue in cloud computing. Fuzzy modeling is one choice to deal with such complexity. In this paper, the authors introduce a new heuristic service allocation model for cloud computing service allocation. Fuzzy sets are used to determine a candidate cloud for providing a service and crisp sets are used to serve requests from a cloud. Supply and demand are used as the fuzzy input to provide the desired heuristic allocation model for the candidate cloud, and a set of parameters are used to determine a cloud user needs.

scholarly journals On Optimal and Fair Service Allocation in Mobile Cloud Computing

2018 ◽  
Vol 6 (3) ◽  
pp. 815-828 ◽  
Author(s):  
M. Reza Rahimi ◽  
Nalini Venkatasubramanian ◽  
Sharad Mehrotra ◽  
Athanasios V. Vasilakos
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Service Allocation

scholarly journals Parallel Continuous Double Auction for Service Allocation in Cloud Computing

2015 ◽  
Vol 4 (2) ◽  
pp. 133-142 ◽  
Author(s):  
Nima Farajian ◽  
Hossein Ebrahim pour-komleh
Keyword(s):  
Cloud Computing ◽  
Service Oriented Architecture ◽  
Cloud Services ◽  
Double Auction ◽  
Sorting Algorithm ◽  
Great Ability ◽  
Service Allocation ◽  
Service Oriented ◽  
Overall Performance ◽  
Continuous Double Auction

Cloud Computing is a service oriented architecture in which every computing resources is delivered to users as a service. Nowadays market-oriented approach has attracted a lot of researchers because of its great ability to manage Cloud services efficiently and dynamically. Each service consists of various resources which all should be allocated to utilize the service. In this paper a parallel continuous double auction method for efficient service allocation in cloud computing is presented in which by using a novel parallel sorting algorithm at auctioneer, enables consumers to order various resources as workflow for utilizing requested services efficiently. Also in the presented method consumers and providers make bid and offer prices based on time factor. Experimental results show that proposed method is efficient in success rate, resource utilization and average connection time and also overall performance of system is improved by parallel approach.

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