Behavior Monitoring in Self-Healing Service-Oriented Systems

Psaier, Harald; Skopik, Florian; Schall, Daniel; Dustdar, Schahram

doi:10.1109/compsac.2010.43

Cited by 17 publications

(26 citation statements)

References 21 publications

(21 reference statements)

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“…Changes interfere with established services, connections, or policies and on top of all affect dependencies. However, service compositions must be maintained and adapted depending on predefined runtime properties such as quality of service (QoS) [1] and behavior [2].…”

Section: Introductionmentioning

confidence: 99%

Runtime Behavior Monitoring and Self-Adaptation in Service-Oriented Systems

Psaier

Juszczyk

Skopik

et al. 2011

Socially Enhanced Services Computing

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Abstract-Mixed service-oriented systems composed of human actors and software services build up complex interaction networks. Without any coordination, such system may exhibit undesirable properties due to unexpected behavior. Also, communications and interactions in such networks are not preplanned by top-down composition models. Consequently, the management of service-oriented applications is difficult due to changing interaction and behavior patterns that possibly contradict and result in faults from varying conditions and misbehavior in the network. In this paper we present a self-adaptation approach that regulates local interactions to maintain desired system functionality. To prevent degraded or stalled systems, adaptations operate by link modification or substitution of actors based on similarity and trust metrics. Unlike a security perspective on trust, we focus on the notion of socially inspired trust. We design an architecture based on two separate independent frameworks. One providing a real Web service testbed extensible for dynamic adaptation actions. The other is our self-adaptation framework including all modules required by systems with self-* properties. In our experiments we study a trust and similarity based adaptation approach by simulating dynamic interactions in the real Web services testbed.

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Section: Introductionmentioning

confidence: 99%

Runtime Behavior Monitoring and Self-Adaptation in Service-Oriented Systems

Psaier

Juszczyk

Skopik

et al. 2011

Socially Enhanced Services Computing

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“…Parts of this system are described by references, for instance the G2 hosting environment [9], and event triggering based on SOAP monitoring [13]. Therefore, in this paper, we revisit the interaction monitoring concept in SOA environments from a technical point of view; deal with service descriptions in terms of functional and non-functional properties to support the discovery process; and demonstrate how to enable run-time adaptations in the Genesis hosting environment (see also [12]).…”

Section: Monitoringmentioning

confidence: 99%

“…An excerpt of a typical SOAP request is depicted in Listing 4. Our system utilizes temporal properties of SOAP calls to infer behavior metrics, such as the average time required to process a request, availability or responsiveness metrics (see [13,16] for details). As demonstrated in our previous papers, metrics are calculated using the most recent history, and updated with a sliding window approach.…”

Section: Interaction Monitoring and Hps Profilingmentioning

confidence: 99%

Adaptive provisioning of human expertise in service-oriented systems

Skopik

Schall

Psaier

et al. 2011

Proceedings of the 2011 ACM Symposium on Applied Computing

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Web-based collaborations have become essential in today's business environments. Due to the availability of various SOA frameworks, Web services emerged as the de facto technology to realize flexible compositions of services. While most existing work focuses on the discovery and composition of software based services, we highlight concepts for a people-centric Web. Knowledge-intensive environments clearly demand for provisioning of human expertise along with sharing of computing resources or business data through software-based services. To address these challenges, we introduce an adaptive approach allowing humans to provide their expertise through services using SOA standards, such as WSDL and SOAP. The seamless integration of humans in the SOA loop triggers numerous social implications, such as evolving expertise and drifting interests of human service providers. Here we propose a framework that is based on interaction monitoring techniques enabling adaptations in SOA-based socio-technical systems.

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“…In a similar context, Psaier et. al [19] developed a self-healing approach that enables recovering mechanisms to avoid degraded or stalled systems. As result a framework called VieCure was designed to support self-healing principles in mixed serviceoriented systems.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Our tool also enables the validation of the inserted knowledge by means of a wizard (Step 8), which aims to ensure that a problem has one or more solution. After the insertion of knowledge, the calibration process can be conducted to evaluate the precision of a classification of problems and the recommendation of solutions [9], [15], [19], [20].…”

Section: Case Studymentioning

confidence: 99%

DmS-Modeler: A Tool for Modeling Decision-making Systems for Self-adaptive Software Domain

Affonso

Leite²,

Nakagawa

2016

International Conferences on Software Engineering and Knowledge Engineering

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Abstract-The ability to modify its own structure and/or behavior at runtime is a native feature in the development of Self-adaptive Software (SaS). In previous work, a Reference Architecture for SaS (RA4SaS), an automated process for adaptation, and a framework for decision-making were developed to assist the development of SaS. Although such initiatives have collaborated with evolution of SaS, the design of the Decisionmaking Systems (DmS), element of first class for SaS, is manually conducted. Therefore, this paper presents a tool called DmSModeler, which aims to assist the development of DmS for SaS, providing facilities for modeling, calibration of such system, and automatic generation of infrastructure (i.e., source code and databases). Aiming to present the applicability of our tool, a case study was conducted and the results enable us to have good perspectives of contribution to the SaS area and other domains of software systems.

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Behavior Monitoring in Self-Healing Service-Oriented Systems

Cited by 17 publications

References 21 publications

Runtime Behavior Monitoring and Self-Adaptation in Service-Oriented Systems

Runtime Behavior Monitoring and Self-Adaptation in Service-Oriented Systems

Adaptive provisioning of human expertise in service-oriented systems

DmS-Modeler: A Tool for Modeling Decision-making Systems for Self-adaptive Software Domain

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