Formal modeling and verification of cloud‐based web service composition

Kazmi, Syed Asad Raza; Qasim, Awais; Khalid, Adnan; Assad, Ruttaba; Shahbaz, Muhammad

doi:10.1002/cpe.5249

Cited by 1 publication

(2 citation statements)

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“…The F2RS-WSC approach is a model-based recovery recommender system. Thus, The model-based techniques convey web services nature with hidden source code [1][2][3]28]. The F2RS-WSC approach aims to recommend the optimal recovery strategy for addressing emerging faults in the web service compositions paradigm.…”

Section: The Proposed Fault Recovery Strategies Recommender System Fo...mentioning

confidence: 99%

“…However, since they are built upon pre-existing services, these systems encounter various challenges. These challenges include interdependencies among services [2], complexities in integration [3], and ensuring quality of service (Q oS) metrics such as response time, throughput, and availability [2,4]. Integration and dependency challenges are prominent concerns in SOC paradigms and web service composition systems [2,5], which can lead to performance degradation [6] and the occurrence of faults [1,7].…”

Section: Introductionmentioning

confidence: 99%

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A Recommender System for Fault Recovery Strategies in Web Services Composition Testing

ElGhondakly,

Moussa,

Badr

2023

IJICIS

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Faults recovery has recently emerged as an important aspect of web service composition (WSC) testing, as it aims to minimize the impact of faults on system functionality through restoring the system's operation after a fault has occurred. However, most of the existing recommendation systems (RSs) tend to recommend frequently used services, which lack diversity and face inaccuracies due to incomplete or biased historical data. In addition, the focus of the existing RSs is on proposing fault handling models rather than recommending the best recovery strategy for handling faults, with most being code-based, thus not suitable for WSCs. Accordingly, due to the opaque nature of WSCs with hidden source code, model-based recovery methods are preferred. In this paper, the Fault Recovery Strategies RS for WSCs (F2RS-WSC) is proposed to recommend the best recovery strategy for handling emerging faults in the WSCs paradigm. The proposed system is a model-based system that recommends the best strategy for recovering faulty paths generated from service dependency graphs (SDGs) based on the faults` types, severity levels, faults` location, as well as the time at which faults may occur. The experimental results show that the time consumed by F2RS-WSC to recommend the optimum recovery strategy represents less than 3% of the SDG parsing time and 4% of the path validation time. In addition, its superior performance assures its accuracy and efficiency. Thus, it achieves accuracy levels between 70% and 88 % among multiple datasets. Moreover, its average precision, recall and f-measure values are 0.85,0.81 and 0.86 respectively.

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Section: The Proposed Fault Recovery Strategies Recommender System Fo...mentioning

confidence: 99%