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An Approach to QoS-based Task Distribution in Edge Computing Networks for IoT Applications

Abstract Internet of Things (IoT) is emerging as part of the infrastructures for advancing a large variety of applications involving connections of many intelligent devices, leading to smart communities. Due to the severe limitation of the computing resources of IoT devices, it is common to offload tasks of various applications requiring substantial computing resources to computing systems with sufficient computing resources, such as servers, cloud systems, and/or data centers for processing. However, this offloading method suffers from both high latency and network congestion in the IoT infrastructures.

Recently edge computing has emerged to reduce the negative impacts of tasks offloading to remote computing systems. As edge computing is in close ... (more)
Created Date 2018
Contributor Song, Yaozhong (Author) / Yau, Sik-Sang (Advisor) / Huang, Dijiang (Committee member) / Sarjoughian, Hessam S (Committee member) / Zhang, Yanchao (Committee member) / Arizona State University (Publisher)
Subject Computer engineering / Computer science / edge computing / Internet of Things / load balancing / network flow / optimization / task distribution
Type Doctoral Dissertation
Extent 96 pages
Language English
Note Doctoral Dissertation Computer Engineering 2018
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis