Cloud Computing - Architecture and Applications

TL;DR

This paper discusses the architecture and applications of cloud computing, emphasizing its role in processing large data volumes efficiently through parallel architectures, and presents innovative algorithms and designs for deployment.

Contribution

It introduces new algorithmic and architectural designs tailored for cloud environments to enhance processing of big data applications.

Findings

Cloud computing enables real-time processing of large data volumes.

Innovative algorithms improve efficiency in cloud-based data analysis.

Architectural designs optimize deployment in cloud environments.

Abstract

In the era of Internet of Things and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such humongous volume of data, it has now become mandatory to exploit the power of massively parallel architecture for fast computation. Cloud computing provides a cheap source of such computing framework for large volume of data for real-time applications. It is, therefore, not surprising to see that cloud computing has become a buzzword in the computing fraternity over the last decade. This book presents some critical applications in cloud frameworks along with some innovation design of algorithms and architecture for deployment in cloud environment. It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities.