Collaborative Business Process Fault Resolution in the Services Cloud

TY - JOUR

T1 - Collaborative Business Process Fault Resolution in the Services Cloud

AU - Zahid, Muhammad Adeel

AU - Shafiq, Basit

AU - Vaidya, Jaideep

AU - Afzal, Ayesha

AU - Shamail, Shafay

N1 - Funding Information: ACKNOWLEDGMENTS The content is solely the responsibility of the authors and does not necessarily represent the official views of the agencies funding the research. This work was supported in part by the HEC and Planning Commission of Pakistan, in part by LUMS FIF Grant, in part by the NSF under Grant CNS- 1624503 and CNS-1747728, and in part by the NIH under Grant R01GM118574 and R35GM134927. Publisher Copyright: © 2008-2012 IEEE.

PY - 2023/1/1

Y1 - 2023/1/1

N2 - The emergence of cloud and edge computing has enabled rapid development and deployment of Internet-centric distributed applications. There are many platforms and tools that can facilitate users to develop distributed business process (BP) applications by composing relevant service components in a plug and play manner. However, there is no guarantee that a BP application developed in this way is fault-free. In this article, we formalize the problem of collaborative BP fault resolution which aims to utilize information from existing fault-free BPs that use similar services to resolve faults in a user developed BP. We present an approach based on association analysis of pairwise transformations between a faulty BP and existing BPs to identify the smallest possible set of transformations to resolve the fault(s) in the user developed BP. An extensive experimental evaluation over both synthetically generated faulty BPs and real BPs developed by users shows the effectiveness of our approach.

AB - The emergence of cloud and edge computing has enabled rapid development and deployment of Internet-centric distributed applications. There are many platforms and tools that can facilitate users to develop distributed business process (BP) applications by composing relevant service components in a plug and play manner. However, there is no guarantee that a BP application developed in this way is fault-free. In this article, we formalize the problem of collaborative BP fault resolution which aims to utilize information from existing fault-free BPs that use similar services to resolve faults in a user developed BP. We present an approach based on association analysis of pairwise transformations between a faulty BP and existing BPs to identify the smallest possible set of transformations to resolve the fault(s) in the user developed BP. An extensive experimental evaluation over both synthetically generated faulty BPs and real BPs developed by users shows the effectiveness of our approach.

KW - Fault resolution

KW - business processes

KW - web services

UR - http://www.scopus.com/inward/record.url?scp=85115177671&partnerID=8YFLogxK

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U2 - https://doi.org/10.1109/TSC.2021.3112525

DO - https://doi.org/10.1109/TSC.2021.3112525

M3 - Article

SN - 1939-1374

VL - 16

SP - 162

EP - 176

JO - IEEE Transactions on Services Computing

JF - IEEE Transactions on Services Computing

IS - 1

ER -