Advances in Internet of Things, 2014, 4, 29-35 Published Online July 2014 in SciRes. http://www.scirp.org/journal/ait http://dx.doi.org/10.4236/ait.2014.43005 Managing Computing Infrastructure for IoT Data Sapna Tyagi1, Ashraf Darwish2, Mohammad Yahiya Khan3 1Institute of Management Studies, Ghaziabad, UP, India 2Faculty of Science, Helwan University, Cairo, Egypt 3College of Science, King Saud University, Riyadh, Saudi Arabia Email:
[email protected] Received 23 May 2014; revised 23 June 2014; accepted 22 July 2014 Copyright © 2014 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract Digital data have become a torrent engulfing every area of business, science and engineering dis- ciplines, gushing into every economy, every organization and every user of digital technology. In the age of big data, deriving values and insights from big data using rich analytics becomes impor- tant for achieving competitiveness, success and leadership in every field. The Internet of Things (IoT) is causing the number and types of products to emit data at an unprecedented rate. Hetero- geneity, scale, timeliness, complexity, and privacy problems with large data impede progress at all phases of the pipeline that can create value from data issues. With the push of such massive data, we are entering a new era of computing driven by novel and ground breaking research innovation on elastic parallelism, partitioning and scalability. Designing a scalable system for analysing, processing and mining huge real world datasets has become one of the challenging problems fac- ing both systems researchers and data management researchers.