The Role of Autonomous Computing, Cloud Computing, and Multimedia in IoT

The Role of Autonomous Computing, Cloud Computing, and Multimedia in IoT

Ahmed Mahmoud Mostafa (Al Baha University, Saudi Arabia)
Copyright: © 2018 |Pages: 17
DOI: 10.4018/978-1-5225-2799-2.ch005


Connecting a large number of physical objects equipped with sensors to the Internet generates what is called “big data.” Big data needs smart and efficient storage. The emerging and developing technology of cloud computing is defined by the US National Institute of Standards and Technology (NIST) as an access model to an on-demand network of shared configurable computing sources such as networks, servers, warehouses, applications, and services. The manual installation and management of IoT devices becomes impractical due to the large numbers involved. Specifically, there exists an inefficiency that can be resolved by minimizing user intervention. The manual maintenance of a large number of devices becomes inefficient, and demands the presence of intelligent and dynamic management schemes. In addition, Internet of Things systems cannot successfully realize the notion of ubiquitous connectivity of everything if they are not capable to truly include ‘multimedia things'.
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Autonomous Computing In Internet Of Things

In the next few years, the Internet of Things (IoT) will interconnect a huge number of “things”. While IoT has many benefits to change our way of life to the best, it will also exponentially increase the scale and the complexity of existing computing and communication systems. It is impossible for humans to manage manually this huge amount of things. So, such “things” need to adapt automatically to the ever-changing environment and requirements. The future research trend is the development of intelligent and autonomic things, such as autonomic vehicles/robots/networks and smart electronics.

Autonomic computing (Computing, 2006), inspired by biological systems, has been proposed as a grand challenge that will allow the systems to self-manage this complexity, using high-level objectives and policies defined by humans. The objective is to provide some self-x properties to the system, where x can be adaptation, organization, optimization, configuration, protection, healing, discovery, description, etc (Friess, 2013).

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