Pervasive Computing Issues, Vision an Exclusive Relationship Of Pervasive And Cloud Computing

Author:

Farooq Muhammad Shoaib,Rabbani Taha Mubbashar,Alvi Atif,Naem Muhammad Athar

Abstract

Abstract Pervasive computing also known by the name of ubiquitous computing is a computer paradigm which focuses the integration of self-communicating and intelligent devices into user’s environment and daily life. Its major principle is to infuse computing into real world environment in such way that user cannot even realize it is existing. One of the best available source is mobile devices which can help with everything happening in real life. Mobile devices are not the only sources but they can be use to perform all the operations like downloading, uploading, computing the data, processing any type of data including audio video formats. The major issue could be the storage of such devices and the load taking to perform complex tasks. To tackle such issues, there is a need of cloud computing. Virtual Cloud computing could be the helpful as it provides the environment in which the larger data can be access pervasively.  In this paper we will discuss how pervasive computing and cloud computing are associated with each other and how they can be beneficial to each other.

Publisher

VFAST Research Platform

Reference29 articles.

1. M.S, “Pervasive Computing: Vision and Challenges”, Carnegie Mellon Uni. IEEE, 2001, pp. 1.

2. D. Salber, A. K. Dey, and G. D. Abowd, "Ubiquitous computing: Defining an hci research agenda for an emerging interaction paradigm," Georgia Institute of Technology1998

3. Flocchini, Paola; Prencipe, Giuseppe; Santoro, Nicola (2019). [Lecture Notes in Computer Science] Distributed Computing by Mobile Entities Volume 11340 (Current Research in Moving and Computing) || . , 10.1007/978-3-030-11072-7(), –. doi:10.1007/978-3-030-11072-7

4. LAMPORT, Leslie (1990). Formal Models and Semantics || Distributed Computing: Models and Methods. , (), 1157–1199. doi:10.1016/b978-0-444-88074-1.50023-8

5. K.Ni et. al. “Distributed Systems and Recent Innovations: Challenges and Benefits” Uni. of Melbourne, Australia, 2006, pp. 2-3.

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