An effective resource allocation algorithm for Fog computing environment & Fog network performance parameters

  • Monika Sharma, Dr. Sunita Chaudhary
Keywords: IoT, Fog Computing, wsn,

Abstract

The Internet of Things is a recent computing paradigm, defined by networks of highly connected things – sensors, actuators and smart objects – communicating across networks of homes, buildings, vehicles, and even people. The Internet of Things brings with it a host of new problems, from managing security on constrained devices to processing never before seen amounts of data. While cloud computing might be able to keep up with current data processing and computational demands, it is unclear whether it can be extended to the requirements brought forth by Internet of Things. Fog computing provides an architectural solution to address some of these problems by providing a layer of intermediary nodes within what is called an edge network, separating the local object networks and the Cloud. These edge nodes provide interoperability, real-time interaction, routing, and, if necessary, computational delegation to the Cloud.

The Internet has witnessed two radical changes in the past decade: rapidly growing cloud computing and pervasive mobile devices.However, because of frequently unpredictable network latency, especially in a mobile environment, often cloud computing can’t meet the stringent requirements of latency-, security and privacy-sensitive, or geographically constrained applications. On the other hand, the growing amount of data generated by end devices and systems often can become impractical or resource prohibitive to transport over networks to remote clouds.

To this end, a new diagram, fog computing, has emerged. Fog computing will distribute advanced computing, storage, networking, and management services closer to end users along the continuum, from the cloud to things and devices, thus forming a distributed and visualized platform. Thus, it is also referred to as edge computing.

In fog computing resource allocation and network performance parameters are major issues . We generate a new algorithm for resource allocation and try to increase network performance.

Published
2021-09-21
How to Cite
Dr. Sunita Chaudhary, M. S. (2021). An effective resource allocation algorithm for Fog computing environment & Fog network performance parameters . Design Engineering, 13189-13198. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/4571
Section
Articles