Improved Strategies for Enhanced Business Performance in Cloud based IT Industries
T. R. Gopalakrishnan Nair, M. Vaidehi, V. Suma

TL;DR
This paper proposes improved job scheduling and resource allocation strategies for cloud-based IT industries, leading to reduced delays, better performance, and increased customer satisfaction.
Contribution
It introduces novel strategies for job scheduling and resource management that address key performance issues in cloud IT industries.
Findings
Reduced delay and response time in cloud processing
Enhanced throughput and job acceptance ratio
Improved customer satisfaction and industry sustainability
Abstract
Emergence of sophisticated technologies in IT industries has posed several challenges such as production of products using advanced technical process for instance Result Orientation Approach, Deployment, Assessment and Refinement (RADAR) in a dynamic and competitive environment. The key challenge for any engineer is therefore to develop process and products which ultimately lead towards total customer satisfaction. Recent development in technology has driven most of the IT industries to operate in the cloud environment due to reduced infrastructure investment and maintenance overheads. However, existing process in cloud lacks efficient multiple service paradigms that can provide improved business gain. Thus, it is the responsibility of every engineer to contribute towards effective and efficient techniques and models that can enhance the business performance. The position of this paper…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCloud Computing and Resource Management · Big Data and Business Intelligence · IoT and Edge/Fog Computing
