A Literature Survey on Resource Management Techniques, Issues and Challenges in Cloud Computing

Abstract

Cloud computing is a large scale distributed computing which provides on demand services for clients. Cloud Clients use web browsers, mobile apps, thin clients, or terminal emulators to request and control their cloud resources at any time and anywhere through the network. As many companies are shifting their data to cloud and as many people are being aware of the advantages of storing data to cloud, there is increasing number of cloud computing infrastructure and large amount of data which lead to the complexity management for cloud providers. We surveyed the state-of-the-art resource management techniques for IaaS (infrastructure as a service) in cloud computing. Then we put forward different major issues in the deployment of the cloud infrastructure in order to avoid poor service delivery in cloud computing.

Adaptive Workflow Scheduling Using Evolutionary Approach in Cloud Computing

“…Resource provisioning algorithm identi¯es not only the best resource for the given task, but also optimal combination of di®erent instance types that allows meeting the users; QoS requirement. Resource provisioning strategies 5,6 can be done by static or dynamic approach.…”

“…The multi-objective optimization approach is applied to¯nd the pareto front of cost and make span. The IDEA shows its e®ectiveness to optimize task scheduling and resource allocation 5 compared with both the DEA and the NSGA-II.…”

“…Equations (3)- (5) are Fitness Functions used for evaluating¯nish time of Work°ow Schedule. Cost of processing Task: ð9Þ…”

A review on various optimization techniques of resource provisioning in cloud computing

“…The customer is charged a flat fee or is billed on a monthly basis. b) Dynamic Provisioning: The provider allocates more resources when they are needed and removes them [3] when they are not needed. The customer is billed on a pay-per-use basis.…”