Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 11 Issue 11
Dynamic Resource Allocation Based on Priority in Various Data Centers Custom-Based waiting queue technique in Cloud Computing
Tanuja Sharma, Swati Soni
10.7753/IJCATR1111.1007
keywords : VM Placement, Load Balancing; Fragmentation, Data center, Cloud Computing
For delivering the cloud services over the internet, cloud computing has become proficient infrastructural model for hosting cloud services. Server virtualization is key technology that enables cloud computing as a service, which authorizes dynamic sharing of physical resources. Virtualization introduces the problem of virtual machine placement that increases the overheads in load balancing. Existing infrastructure needs the strategy for the VM Placement as it may create poor allocation and load balancing issues. In most of the cases, due to lack of input parameters physical machines are partially loaded that creates issue of fragmentation which leads to in sufficient resources that causes more utilization of physical machines in any infrastructure. We did extensive survey in the said domain and found that, In load balancing approach, when VM place mentis done without measuring its lifetime, that creates fragments on PM. So we propose dynamic priority based spill over technique and add the concept of short life/long life container for solving the fragmentation issue.
@artical{t11112022ijcatr11111007,
Title = "Dynamic Resource Allocation Based on Priority in Various Data Centers Custom-Based waiting queue technique in Cloud Computing",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "11",
Issue ="11",
Pages ="391 - 395",
Year = "2022",
Authors ="Tanuja Sharma, Swati Soni"}
This paper proposed the dynamic priority based spill over technique and add the concept of short life/long life container for solving the fragmentation issue.
• This paper also minimize the fragmentation issue with using short life/long life container at physical machine.
The Design and simulation for performance analysis will be done by using the OPNET simulation software which is done in mainly in various Data Centers now a days.
Data Processing Center and Brokerage services determine which center should accept and process the request that comes from each user database which is accurate in nature .