Introduction to Predictive Computing

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Abstract

With the advancements in computing techniques, there is a significant shift in programming paradigm which is from procedural programming to agent-based programming. Modern computing techniques have more focus on interdisciplinary approaches to perform complex tasks and development to satisfy human needs. Integration of Internet of Things, cloud computing and wireless sensor networks has made it possible to make prediction in real time for different application areas including health care, transportation, smart home, etc. In this chapter, predictive computing has been introduced and six major pillars of predictive computing known as (a) Internet of Things, (b) Cloud computing, (c) Mobile computing, (d) Pervasive computing, (e) Wireless sensor networks (WSN) and (f) Big data are described. The role of information security techniques to maintain the data confidentiality, privacy and trust like major issues during the communication, storage and accessing of data is also provided.

Keywords

Computing Predictive analytics Predictive computing Predictive model Cloud computing Internet of Things Big data Pervasive computing Information security Data confidentiality Privacy Trust 
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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringJaypee University of Information TechnologySolan, Himachal PradeshIndia
  2. 2.Department of Computer Science and EngineeringJaypee University of Engineering and TechnologyGunaIndia
  3. 3.Department of Computer Science and EngineeringIndian Institute of Technology BHUVaranasiIndia

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