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A Comparison of Cloud Computing and Big Data Applications with Software Engineering Prospective
Authors: Shabir Ahmad, Bilal Ehsan, Muhammad Perbat Baloch, Shahida Siddiq, Abu Buker Siddique
Number of views: 356
Software engineering in Cloud computing is an essential aspect for obtaining a systematic, disciplined and quantifiable approach to the development, operation, and maintenance of software and services. Incorporating security and privacy during the engineering process is of vital importance for assuring the development of reliable, correct, robust and trustful systems as well as adaptive and evolving software services that satisfy users’ requirements. To this extend the need to investigate methods and tools that will assist developers in constructing more reliable privacy-oriented information systems and services in cloud environments, is fully justified. Big Data delivers game-changing benefits using a new approach to data acquisition, management, and visualization for the emerging Big Data platforms. Organizations have always produced significant amounts of unstructured data from sources such as medical images, blogs, radio-frequency identification (RFID) tags, and locality sensors. Historically, organizations threw away most of the data they could collect to avoid what were once considered excessive costs of managing such a data deluge. In this paper, different aspects of cloud computing application and big data applications are compared. In addition the researcher also provides the possible solutions of these applications with respect to software engineering. This paper will help the new researchers to compare the cloud computing and big data applications and will lead to develop new solutions for the existing inadequacies.