Browse by author
Lookup NU author(s): Dr Ellis SolaimanORCiD, Professor Raj Ranjan
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
The Internet of Things (IoT) is a computing paradigm where uniquely addressable objects such as RadioFrequency IDentification (RFID) tags, sensors, actuators, and mobile phones, are able to connect via the Internet, and cooperate with each other in order to achieve common goals. The number of connected smart objects is estimated to reach 212 billion by the end of 2020. Such large numbers of connected smart objects will generate huge volumes of data that needs to be analysed and stored. According to a study conducted by IBM, 2.5 quintillion bytes of data is generated every day. Storing and processing such large volumes of Big Data is nontrivial, and requires the flexibility offered by Cloud Computing. Cloud Computing offers a pool of configurable resources (hardware/software) that are available on demand, allowing users to submit jobs to service providers on the basis of pay-per-use. While the IoT provides smart devices with the ability to sense and generate large amount of data that reflect the physical world in different forms and different data speeds, Cloud Computing offers advanced technologies for ingesting, analysing and storing data. The number of applications based on IoT and Cloud Computing is projected to increase rapidly over next few years. To this end, Gascon and Asin predicted that in near future there will be about 54 types of IoT applications for addressing different domain specific problems: security and emergency, smart environment, smart cities, smart metering, smart water, smart animal farming, smart agriculture, industrial control, retail, logistics, domestic and home automation and e-Health.
Author(s): Alqahtani A, Solaiman E, Buyya R, Ranjan R
Publication type: Editorial
Publication status: Published
Journal: IEEE Technical Committee on Cybernetics for Cyber-Physical Systems
Year: 2016
Volume: 1
Issue: 2
Pages: 9-13
Print publication date: 01/08/2016
Acceptance date: 01/08/2016
Publisher: IEEE
URL: http://www.ieee-cps.org/doc/TC-CPS-letter-201608.pdf
