A Fault Taxonomy for Web Service Composition

Chan, K. S. May; Bishop, Judith; Steyn, Johan A.; Baresi, Luciano; Guinea, Sam

doi:10.1007/978-3-540-93851-4_36

Cited by 74 publications

(66 citation statements)

References 13 publications

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“…Therefore, for simplicity without a loss of generality, in the rest of the paper we classify the faults according to their behavior, into only fail-stop faults and byzantine faults. According to the moment and origin of the faults, Chan et al in [42] have introduced a taxonomy categorizing the faults into the following classes:…”

Section: Web Services Composition Recovery Modes and Fault Typesmentioning

confidence: 99%

Survey on Web Services Fault Tolerance Approaches Based on Checkpointing Mechanisms

Vargas-Santiago¹,

Hernández²,

Morales-Rosales³

et al. 2017

JSW

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Abstract:Complex business processes are based on Web services composition (WSC). Services composition dramatically reduces the cost and risks of building new business applications. Although Web services composition has been widely researched, several issues related to dependability still need to be addressed. In this aspect, one primary concern is to provide fault handling mechanisms. Over the last decade, diverse works tackling fault tolerance for WSC have appeared; most of them are based on the checkpointing paradigm. Some of the works are oriented towards orchestration and others towards choreography. In this work, we present a study regarding the different checkpointing techniques and their applicability to WSC. This study has been done considering the different types of faults (e.g. transient, intermittent and permanent) and modes of recovery (e.g. local vs global). We introduce a novel taxonomy for fault tolerant mechanisms that groups existing works according to integration approaches, fault types and modes of recovery. We present a study of the works, illustrating their advantages and drawbacks. Finally, the paper presents a discussion and outlines several open challenges regarding fault tolerance for WSC.

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Section: Web Services Composition Recovery Modes and Fault Typesmentioning

confidence: 99%

Survey on Web Services Fault Tolerance Approaches Based on Checkpointing Mechanisms

Vargas-Santiago¹,

Hernández²,

Morales-Rosales³

et al. 2017

JSW

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“…During runtime, fault conditions may occur [4] which can cause a specific layer or a cloud to become unresponsive, slow, failed, etc. Such problematic condition requires a self-adaptation mechanism to bring the entire traffic management system back into a healthy condition.…”

Section: Example Scenariomentioning

confidence: 99%

Decentralized Planning for Self-Adaptation in Multi-cloud Environment

Ismail

Cardellini

2015

Communications in Computer and Information Science

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Abstract. The runtime management of Internet of Things (IoT) oriented applications deployed in multi-clouds is a complex issue due to the highly heterogeneous and dynamic execution environment. To effectively cope with such an environment, the cross-layer and multi-cloud effects should be taken into account and a decentralized self-adaptation is a promising solution to maintain and evolve the applications for quality assurance. An important issue to be tackled towards realizing this solution is the uncertainty effect of the adaptation, which may cause negative impact to the other layers or even clouds. In this paper, we tackle such an issue from the planning perspective, since an inappropriate planning strategy can fail the adaptation outcome. Therefore, we present an architectural model for decentralized self-adaptation to support the crosslayer and multi-cloud environment. We also propose a planning model and method to enable the decentralized decision making. The planning is formulated as a Reinforcement Learning problem and solved using the Q-learning algorithm. Through simulation experiments, we conduct a study to assess the effectiveness and sensitivity of the proposed planning approach. The results show that our approach can potentially reduce the negative impact on the cross-layer and multi-cloud environment.

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“…Despite the high level of detail, their work still provides general applicability and builds a solid basis for extended approaches. For instance, Chan et al [14] have presented a fault taxonomy for Web Service Compositions that closely builds on the classification by Avizienis et al…”

Section: Taxonomy Dimensions and Terminologymentioning

confidence: 99%

“…Fault taxonomies for service-oriented architecture (SOA) have been discussed in [11] and [14]. The taxonomies are tailored to issues related to service-based computing and Web services (e.g., service discovery, binding, or composition), whereas we focus on specifics of event-based systems.…”

Section: Related Workmentioning

confidence: 99%

“…This has led to comprehensive surveys and taxonomies for very specific types of faults, including program and operating system faults [3], faults in object-oriented software [10], faults in service-based applications [11,14], faults in memory devices [70], or faults in microprocessor design [4]. Event processing, as an emerging research direction, is yet lacking a common model for faults.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Deriving a unified fault taxonomy for event-based systems

Hummer

Inzinger

Leitner

et al. 2012

Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems

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Dependability and fault-tolerance, which are key requirements for business-or safety-critical applications, require explicit knowledge of potential faults that may occur within a system. In contrast to other major research directions, the emerging field of distributed event-based systems is yet lacking a common understanding of faults. In this paper we take a step forward and study potential origins and effects of faults in such systems. Our work on a unified fault taxonomy follows a rigorous methodology. We first identify five core sub-areas in the broader field of event-based systems, and discuss commonalities and differences among them. Then we derive from the existing literature a coherent domain model, which accurately captures the specifics of the different areas. The domain model provides a holistic view and covers both structural and procedural aspects of event-based systems. Based on this model, we elaborate a detailed taxonomy of faults, in line with well-established fault dimensions from dependable and secure computing. The fault taxonomy forms the basis for a comprehensive discussion of fault instances across the five sub-areas of event processing.

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A Fault Taxonomy for Web Service Composition

Cited by 74 publications

References 13 publications

Survey on Web Services Fault Tolerance Approaches Based on Checkpointing Mechanisms

Survey on Web Services Fault Tolerance Approaches Based on Checkpointing Mechanisms

Decentralized Planning for Self-Adaptation in Multi-cloud Environment

Deriving a unified fault taxonomy for event-based systems

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