Big Data Analytics for Cost Cutting in Cloud Computing with Specific to Resource Allocation

Abstract

Cloud computing technology is the scope of next generation intelligent computing which combines everything into one. In Cloud with a vast verity of users from heterogeneous systems calls the cloud services at a single instance. So there must be a way in which all the resources are made available to the requesting user in a good manner to satisfy their needs. The mechanism of allocating available resources to the needed cloud applications through the internet is called Resource Allocation.

Evaluation of social media and data science makes the feature the data centric instead of knowledge centric. When Resource Allocation is done in conjunction with user annotations as introduced in this paper can reduce the cost incurred for a user and hence it can attract more cloud users in future. User annotations like cost, deadline can be used. Users are allowed to submit the parameters during job submission. The user inserted parameters will then be considered while allocating resources to them.  Big data analytics with machine learning helps to optimize the cost, the main purpose of this paper is to increase information sharing among cloud users and cloud providers and provide benefits to users in terms of the long term user with annotated parameters.