A theoretical framework for cloud resource provisioning using MapReduce technique
Ananthi Sheshasaayee, R. Megala · 2017
The new advent of digitized has lead to rise of volume, velocity and variety of data by passing every hour. In reality, most of the data were stored on Cloud for managing the storage system. Most of the organizations were moving their data into the Cloud. Thus, Cloud Computing will play a vital role in today's world. Cloud Computing provides remote access to the Client on the basis of Pay-What-Use manner. In this case, instead of buying any physical machine's user can rent the machine for their requirements. In the Cloud computing environment, provisioning resources is a demanding task. This paper discusses about the framework of resource provisioning in Cloud for big data applications. In this framework, job scheduling is done through MapReduce technique. The main objective of this job is to reduce cost and execution time.