Automatic Scaling of Internet Applications forCloud Computing Services
Rs3,000.00
10000 in stock
SupportDescription
Internet applications can benefit from an automatic scaling property where their resource usage can be scaled up and down automatically by the cloud service. Encapsulate each application instance inside a virtual machine (VM) and use virtualization technology to provide fault isolation. Class Constrained Bin Packing (CCBP) problem where each server is a bin and each class represents an application. Class constraint reflects the practical limit on the number of applications a server can run simultaneously. Develop an efficient semi-online color set algorithm that achieves good demand satisfaction ratio and saves energy by reducing the number of servers used when the load is low. The proposed of Internet application is used to security purpose only. Before CCBP problem, Only one data can be send from one client to one server. The only difference is that the CCBP problem does not have the “Minimize the placement change frequency” goal. Therefore, in order to solve our problem, we modified the CCBP model to support the “Minimize the placement change frequency” goal and provide a new enhanced semi online approximation algorithm to solve it. After overcome this problem, more than data can send from one client to more than server. Greedy algorithm is used to this proposed system. This algorithm is used to Overcome traffic.
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