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Task scheduling using edge computing system in smart city
Author(s) -
Zheng Xiao,
Li Mingchu,
Guo Jun
Publication year - 2021
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4422
Subject(s) - computer science , cloud computing , cyber physical system , distributed computing , scheduling (production processes) , edge computing , task (project management) , enhanced data rates for gsm evolution , smart city , computer network , computer security , internet of things , artificial intelligence , operating system , operations management , management , economics
Summary A smart city will become an inevitable trend of social development. It includes many Cyber Physical Systems (CPSs) that can be endowed with different levels of intelligence. With the combination of CPS and cloud computing, smart sensor cloud system becomes popular in many areas where the physical nodes can be shared with multiple users, which can obtain high performance computing. In view of this idea, this paper studies the specific application of smart city‐online task scheduling. We treat each task as a physical node, and the scheduling of multiple computing tasks is to achieve sustainable services. However, when a physical sensor node receives commands from multiple tasks simultaneously, namely, resource conflict management problem. This conflicting resource management problem leads to the failures of services. To solve the resource conflict problem, we propose an extended Hungarian algorithm based on edge computing, which can obtain smaller delay and achieve sustainable service. Edge computing can be viewed as a buffer and controller between CPS and the cloud and can build a sustainable service system by handling malicious attacks. The experimental results show that our proposed method can effectively reduce resource conflicts, improve resource utilization, and make services more sustainable.