survey

Mobile Cloud Business Process Management System for the Internet of Things: A Survey

Authors:

Satish Narayana Srirama, and

Rajkumar BuyyaAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 49, Issue 4

Article No.: 70, Pages 1 - 42

https://doi.org/10.1145/3012000

Published: 20 December 2016 Publication History

Abstract

The Internet of Things (IoT) represents a comprehensive environment that consists of a large number of smart devices interconnecting heterogeneous physical objects to the Internet. Many domains such as logistics, manufacturing, agriculture, urban computing, home automation, ambient assisted living, and various ubiquitous computing applications have utilized IoT technologies. Meanwhile, Business Process Management Systems (BPMSs) have become a successful and efficient solution for coordinated management and optimized utilization of resources/entities. However, past BPMSs have not considered many issues they will face in managing large-scale connected heterogeneous IoT entities. Without fully understanding the behavior, capability, and state of the IoT entities, the BPMS can fail to manage the IoT integrated information systems. In this article, we analyze existing BPMSs for IoT and identify the limitations and their drawbacks based on a Mobile Cloud Computing perspective. Later, we discuss a number of open challenges in BPMS for IoT.

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Index Terms

Mobile Cloud Business Process Management System for the Internet of Things: A Survey
1. Information systems
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    2. Process control systems

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 49, Issue 4

December 2017

666 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3022634

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering / University of Florida / Gainesville, FL 32611

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Publication History

Published: 20 December 2016

Accepted: 01 October 2016

Revised: 01 August 2016

Received: 01 March 2016

Published in CSUR Volume 49, Issue 4

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Corradini FFornari FPettinari SRe BRossi LTiezzi F(2024)A BPMN-Based Approach for IoT Systems EngineeringFluidware10.1007/978-3-031-62146-8_5(85-105)Online publication date: 13-May-2024
https://doi.org/10.1007/978-3-031-62146-8_5
Mangler JGrüger JMalburg LEhrendorfer MBertrand YBenzin JRinderle-Ma SSerral Asensio EBergmann R(2023)DataStream XES Extension: Embedding IoT Sensor Data into Extensible Event Stream LogsFuture Internet10.3390/fi1503010915:3(109)Online publication date: 14-Mar-2023
https://doi.org/10.3390/fi15030109
Kirikkayis YGallik FWinter MReichert M(2023)BPMNE4IoT: A Framework for Modeling, Executing and Monitoring IoT-Driven ProcessesFuture Internet10.3390/fi1503009015:3(90)Online publication date: 22-Feb-2023
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