Data – Intensive Applications on Cloud

Data – Intensive Applications on Cloud

Authors- Sriram Santosh Aripirala

Abstract-The rapid growth of Internet and World Wide Web has led to vast amounts of information available online. Processing Terabytes of data in Data-Intensive applications has always been a challenge. Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The distributed systems that solve large-scale problems will always involve aggregating and scheduling many resources. Data must be located and staged, cache and network capacity must be available at the same time as computing capacity, etc. The technologies, the middleware services, and the architectures that are used to build useful high-speed, wide area distributed systems, constitute the field of data intensive computing. A variety of system architectures have been implemented for data-intensive applications such as Map Reduce architecture which is now available in an open-source implementation called Hadoop. This paper explores some of the technologies and infrastructure (such as Amazon EC2) built for this purpose. This paper also evaluates the analysis of some platforms.

DOI: /10.61463/ijset.vol.12.issue4.234