Autonomic cloud resource provisioning and scheduling using meta-heuristic algorithm

2020 ◽  
Vol 32 (24) ◽  
pp. 18285-18303 ◽  
Author(s):  
Mohit Kumar ◽  
S. C. Sharma ◽  
Shalini Goel ◽  
Sambit Kumar Mishra ◽  
Akhtar Husain
Keyword(s):  
Heuristic Algorithm ◽  
Resource Provisioning ◽  
Cloud Resource

Online Cloud Resource Provisioning Under Cost Budget for QoS Maximization

2021 ◽  
Author(s):  
Yu Liu ◽  
Niangjun Chen ◽  
Zhenhua Liu ◽  
Yuanyuan Yang
Keyword(s):  
Resource Provisioning ◽  
Cloud Resource

Quality of service aware cloud resource provisioning for social multimedia services and applications

2016 ◽  
Vol 76 (12) ◽  
pp. 14485-14509 ◽  
Author(s):  
Tamal Adhikary ◽  
Amit Kumar Das ◽  
Md. Abdur Razzaque ◽  
Majed Alrubaian ◽  
Mohammad Mehedi Hassan ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Resource Provisioning ◽  
Multimedia Services ◽  
Social Multimedia ◽  
Cloud Resource

Forward Auction-Based Cloud Resource Provisioning

2018 ◽  
pp. 33-51 ◽  
Author(s):  
Gaurav Baranwal ◽  
Dinesh Kumar ◽  
Zahid Raza ◽  
Deo Prakash Vidyarthi
Keyword(s):  
Resource Provisioning ◽  
Cloud Resource

Retracted: Optimal Cloud Resource Provisioning: A Two-Criteria Formulation

2015 ◽  
pp. 360-364
Author(s):  
Geetika Mudali ◽  
Manas Ranjan Patra ◽  
K. Hemant Kumar Reddy ◽  
Diptendu Sinha Roy
Keyword(s):  
Resource Provisioning ◽  
Cloud Resource

Resource Provisioning Based Scheduling Framework for Execution of Virtual Machine in Heterogeneous Environment in Cloud Computing

2020 ◽  
Vol 37 ◽  
pp. 59-68
Author(s):  
Maheta Ashish ◽  
Samrat V.O. Khanna
Keyword(s):  
Cloud Computing ◽  
System Performance ◽  
Completion Time ◽  
Resource Provisioning ◽  
Resource Manager ◽  
Cloud Resource ◽  
Cpu Utilization ◽  
Dynamic Resource ◽  
Minimum Completion Time

Cloud computing is provides resource allocation which facilitates the cloud resource provider responsible to the cloud consumers. The main objective of resource manager is to assign the dynamic resource to the task in the execution and measures response time, execution cost, resource utilization and system performance. The resource manager is optimizing the resource and measure the completion time for assign resource. The resource manager is also measure to execute the resource in the optimal way to complete the task in minimum completion time. The virtualization is techniques mandatory to allocate the dynamic resource depends on the users need. There are also green computing techniques involved for enhanced the no of server. The skewness is basically used to enhance the quality of service using the various parameters. The proposed algorithms are considered to allocate the cloud resource as per the users requirement. The advantage of proposed algorithm is to view the analysis of cpu utilization and also reduced the memory usage.

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