Knowledge representation concepts for automated SLA management

Paschke, Adrian; Bichler, Martin

doi:10.1016/j.dss.2008.06.008

Cited by 99 publications

(79 citation statements)

References 28 publications

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“…An untested composite service may exhibit unreliable deviations from contractual agreements on Quality of Service (QoS) [22]. Service level agreements (SLAs) [16] are the industry standard to specify constraints on QoS for both service providers and consumers. Habitual deviations from SLAs are a result of ignoring QoS outliers and dynamic behavior of a composite service.…”

Section: Introductionmentioning

confidence: 99%

Pairwise testing of dynamic composite services

Kattepur

Sen

Baudry

et al. 2011

Proceedings of the 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems

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Online services encapsulate enterprises, people, software systems and often operate in poorly understood environments. Using such services in tandem to predictably orchestrate a complex task is one of the principal challenges of serviceoriented computing. A composite service orchestration soliciting multiple atomic services is plagued by a number of sources of variation. For instance, availability of an atomic service and its response time are two important sources of variation. Moreover, the number of possible variations in a composite service increases exponentially with increase in the number of atomic services. Testing such a composite service presents a crucial challenge as its often very expensive to exhaustively examine the variation space. Can we effectively test the dynamic behavior of a composite service using only a subset of these variations? This is the question that intrigues us. In this paper, we first model composite service variability as a feature diagram (FD) that captures all valid configurations of its orchestration. Second, we apply pairwise testing to sample the set of all possible configurations to obtain a concise subset. Finally, we test the composite service for selected pairwise configurations for a variety of QoS metrics such as response time, data quality, and availability. Using two case studies, Car crash crisis management and eHealth management, we demonstrate that pairwise generation effectively samples the full range of QoS variations in a dynamic orchestration. The pairwise sampling technique eliminates over 99% redundancy in configurations, while still calling all atomic services at least once. We rigorously evaluate pairwise testing for the criteria such as: a) ability to sample the extreme QoS metrics of the service b) stable behavior of the extracted configurations c) compact set of configurations that can help evaluate QoS tradeoffs and d) comparison with random sampling.

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Section: Introductionmentioning

confidence: 99%

Pairwise testing of dynamic composite services

Kattepur

Sen

Baudry

et al. 2011

Proceedings of the 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems

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“…Rule Responder [13] weaves the outer shell of the validation system by providing the required infrastructure for the automation of role description of partners as well as steering and redirection of the distributed validation queries. The knowledge representation techniques from the RBSLA (Rule based Service Level Agreements) project [12] contribute at the core of validation system. Different parts of the WS-Agreement compliant SLAs can be transformed into corresponding sets of logical rules, which can compose together during the process of SLA composition and can be decomposed into separate queries during the process of validation.…”

Section: Validation Of Sla Aggregation In the Cross-section Of Modelsmentioning

confidence: 99%

“…-the Rule Responder Architecture [11], -findings of the RBSLA project [12], -a formal model of SLA Views, and -a distributed trust model [10].…”

Section: Introductionmentioning

confidence: 99%

Rule-based validation of SLA choreographies

et al. 2010

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For the Service Economy to prosper, IT-based Service Markets are required to perform certain business actions autonomically and autonomously, e.g. helping companies to establish networks of business relationships. Service Markets, to be practically realized require an enabling infrastructure that supports business-to-business (B2B) relationships among business stakehoders, resulting in value chains.B2B workflow interoperation across Virtual Organisations (VOs) brings about novel business scenarios. In these scenarios, parts of workflows corresponding to different partners can be aggregated in a producer-consumer manner, leading to hierarchical structures of added value. Service Level Agreements (SLAs), which are contracts between service providers and service consumers, guarantee the expected quality of service (QoS) to different stakeholders at various levels along this hierarchy. Automation of service composition in these coalition workflows directly implies the aggregation of their corresponding SLAs. This hierarchical choreography and aggregation poses new challenges regarding SLA description, management, maintenance, validation, trust and security. In this paper we focus on design and architecture of an agent-oriented, rule-based validation framework for hierarchical SLA aggregation, enabling cross-VO workflow cooperation. The framework is based on the Rule Responder architecture, the RBSLA project, a formal model of SLA Views, and a distributed trust model.

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“…Early instantiations of Rule Responder include the Health Care and Life Sciences eScience infrastructure [11], the Rule-based IT Service Level Managment, and Semantic BPM system [12,13]. Recent instantiations include multiple versions of the deployed SymposiumPlanner system [9], two versions of the WellnessRules prototype [5], PatientSupporter, a reputation management system, and a SCEP agent network.…”

Section: Rule Responder Instantiationsmentioning

confidence: 99%

“…Several instantiations of Rule Responder have been developed, including the eScience infrastructure for Health Care and Life Sciences [11], the Rule-based IT Service Level Managment and Semantic BPM system [12,13], multiple versions of the deployed SymposiumPlanner system [9], two versions of the WellnessRules prototype [5], and the PatientSupporter prototype. 4 The rest of the chapter is organized as follows.…”

mentioning

confidence: 99%

Rule Responder Agents Framework and Instantiations

Boley

Paschke

2011

Semantic Agent Systems

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This chapter introduces Rule Responder and its applications. RuleResponder is a framework for specifying virtual organizations as semantic multiagent systems that support collaborative teams. It provides the infrastructure for rule-based collaboration between the distributed members of such a virtual organization. Human members of an organization are assisted by (semi-)autonomous rule-based agents, which use Semantic Web rules to describe aspects of their owners' derivation and reaction logic. To implement different distributed system/agent toplogies with their negotiation/coordination mechanisms Rule Responder instantiations employ three core classes of agents -Organizational Agents (OA), Personal Agents (PAs), and External Agents (EAs). The OA represents goals and strategies shared by its virtual organization as a whole, using a rulebase that describes its policies, regulations, opportunities, etc. Each PA assists a group or person of the organization, semi-autonomously acting on their behalf by using a local knowledge base of rules defined by the entity. EAs can communicate with the virtual organization by sending messages to the public interfaces of the OA. EAs can be human users using, e.g., Web forms or can be automated services/tools sending messages via the multitude of transport protocols of the underlying enterprise service bus (ESB) middleware. The agents employ ontologies in their knowledge bases to represent semantic domain vocabularies, normative pragmatics and pragmatic context of conversations and actions, as well as the organizational semiotics.

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Knowledge representation concepts for automated SLA management

Cited by 99 publications

References 28 publications

Pairwise testing of dynamic composite services

Pairwise testing of dynamic composite services

Rule-based validation of SLA choreographies

Rule Responder Agents Framework and Instantiations

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