A Review on Dynamic Resource Allocation Based on Lease Types in Cloud Environment

Abstract

Load balancing is one of the essential factors to enhance the working performance of the cloud service provider. Cloud Computing is an emerging computing paradigm. It aims to share data, calculations, and service transparently over a scalable network of nodes. Since Cloud computing stores the data and disseminated resources in the open environment. Since, cloud has inherited characteristic of distributed computing and virtualization there is a possibility of machines getting unused. Hence, in this paper, different load balancing algorithms has been studied. Different kinds of job types have been discussed and their problems have been reviewed. In the cloud storage, load balancing is a key issue. It would consume a lot of cost to maintain load information, since the system is too huge to timely disperse load. Load balancing is one of the main challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed.

Resource Allocation of Distributed System Based on Self-organizing Clustering Algorithm

“…However, unlike the fully centralized control strategy, the slave nodes in this strategy also have certain storage and computing capabilities. The slave nodes can perform simple local calculations using the local information they can obtain, but still need to feed back the calculation results to the master node, Then the master node makes the resource allocation decision and sends the decision result to the slave node, so as to complete the whole resource allocation process [8][9]. Scholars have proposed a third research method based on the idea of distribution, that is, distributed optimal resource allocation strategy.…”