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
2021 ◽  
Author(s):  
Yu Liu ◽  
Niangjun Chen ◽  
Zhenhua Liu ◽  
Yuanyuan Yang

2016 ◽  
Vol 76 (12) ◽  
pp. 14485-14509 ◽  
Author(s):  
Tamal Adhikary ◽  
Amit Kumar Das ◽  
Md. Abdur Razzaque ◽  
Majed Alrubaian ◽  
Mohammad Mehedi Hassan ◽  
...  

Author(s):  
Geetika Mudali ◽  
Manas Ranjan Patra ◽  
K. Hemant Kumar Reddy ◽  
Diptendu Sinha Roy

2020 ◽  
Vol 37 ◽  
pp. 59-68
Author(s):  
Maheta Ashish ◽  
Samrat V.O. Khanna

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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