American Journal of Computing Research Repository, 2014, Vol. 2, No. 4, 58-60 Available online at http://pubs.sciepub.com/ajcrr/2/4/1 © Science and Education Publishing DOI:10.12691/ajcrr-2-4-1 Insights on Cognizant Computing: Concepts, Technologies and Trends Awodele Oludele, Emmanuel C. Ogu * , Kuyoro ‘Shade, Chiemela Ogu Department of Computer Science and Information Technology, School of Computing and Engineering Sciences, Babcock University, Ilisan-Remo, Ogun State. Nigeria *Corresponding author: ecoxd1@yahoo.com Received November 27, 2014; Revised December 02, 2014; Accepted December 05, 2014 Abstract One of the emerging trends that have gained increasing prominence and is fast becoming a household name in the global IT industry is the concept of cognizant computing. Research has repeatedly suggested that this technology may hold the key to satisfying nearly all the computing needs of humanity even down to the preferences of the unique individual, by harnessing and then enhancing the capabilities of the cloud services and the internet of things like nothing ever before experienced, in the next decade [1]. This research provides new insights on a more wholesome approach to viewing cognizant computing – the continuum approach; it also illuminates this emerging technology by studying its basic concepts, technologies as well as emerging trends; and highlights specifically how the technologies of the Internet of Things (IoT) and Cloud Computing (CC) would help to drive the goals of Cognizant Computing. Keywords: cognizant computing, cloud computing, virtualization, IoT Cite This Article: Awodele Oludele, Emmanuel C. Ogu, Kuyoro ‘Shade, and Chiemela Ogu, “Insights on Cognizant Computing: Concepts, Technologies and Trends.” American Journal of Computing Research Repository, vol. 2, no. 4 (2014): 58-60. doi: 10.12691/ajcrr-2-4-1. 1. Introduction Cognizant computing is a computing technology that is centred on consumer experience in such a way that individual consumers are met with personalized services that are tailored to meet their specific needs [1]. Such a consumer experience is made possible by data about the individual that is pooled from a continuum of various sources that contain stored histories of custom, favourite and / or preferred user services, configurations, applications, credentials and identities, etc., that are then processed and provisioned in such a form that delivers to the individual consumer, that user experience that meets their unique point of need. Imagine that you wake up late in the morning and are unable to take breakfast, and you rush off to the office only to find your favourite coffee waiting on your desk just the way you like it mixed and served. All thanks to your mobile phone that noticed that your didn’t turn off your alarm at the time you always do when it went off in the morning and sensed you were still asleep and may wake up too late to have breakfast; your phone then activated a pre-set rule to send a message to your coffee vendor with specifications on how you like your coffee served, requesting that coffee be delivered to your office address before 8am, and voila! – Now that was made possible by cognizant computing. Gartner Technology Research Inc. carried out a thorough and comprehensive survey of cognizant computing which revealed bright prospects and industrial perspectives [1,2]. The research postulates four phases that are exigent to attainment of a complete personal cloud experience. These are illustrated in Figure 1 below: The ultimate goal of cognizant computing should be to serve each individual consumer as though no other consumer existed. The focus here is to meet the user / consumer at their point of need in such a manner that is unique to their preferences / favourites and customizations. Figure 1. Four Phases of Cognizant Computing [2] 2. Justifying the Continuum Approach to Cognizant Computing With no goal in mind to undermine the findings of this comprehensive survey, the research suggests a review of