Speeding up adaptation of web service compositions using expiration times

Harney, John; Doshi, Prashant

doi:10.1145/1242572.1242710

Cited by 42 publications

(38 citation statements)

References 8 publications

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“…Monitoring strategy formulation must consider both the benefit and cost of monitoring. Similar issues exist in service selection [25], [26] and service adaptation [27] for SBSs. The authors of [25], [26] adopt the concept of value of changed information to determine which services to select for composing an SBS.…”

Section: Related Workmentioning

confidence: 87%

“…Similar issues exist in service selection [25], [26] and service adaptation [27] for SBSs. The authors of [25], [26] adopt the concept of value of changed information to determine which services to select for composing an SBS. In [27], we adopt the same concept for the evaluation of service adaptation strategies for SBSs.…”

Section: Related Workmentioning

confidence: 87%

“…Here, the VOM shares its concepts with the value of perfect information (VPI) [53] and the value of changed information (VOC) [26], which also attempt to decide whether something is necessary and worthwhile to a particular process, as explained in [25].…”

Section: Value Of Monitoringmentioning

confidence: 99%

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Formulating Cost-Effective Monitoring Strategies for Service-Based Systems

Han

Yang

et al. 2014

IIEEE Trans. Software Eng.

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Abstract-When operating in volatile environments, service-based systems (SBSs) that are dynamically composed from component services must be monitored in order to guarantee timely and successful delivery of outcomes in response to user requests. However, monitoring consumes resources and very often impacts on the quality of the SBSs being monitored. Such resource and system costs need to be considered in formulating monitoring strategies for SBSs. The critical path of a composite SBS, i.e., the execution path in the service composition with the maximum execution time, is of particular importance in cost-effective monitoring as it determines the response time of the entire SBS. In volatile operating environments, the critical path of an SBS is probabilistic, as every execution path can be critical with a certain probability, i.e., its criticality. As such, it is important to estimate the criticalities of different execution paths when deciding which parts of the SBS to monitor. Furthermore, cost-effective monitoring also requires management of the trade-off between the benefit and cost of monitoring. In this paper, we propose CriMon, a novel approach to formulating and evaluating monitoring strategies for SBSs. CriMon first calculates the criticalities of the execution paths and the component services of an SBS and then, based on those criticalities, generates the optimal monitoring strategy considering both the benefit and cost of monitoring. CriMon has two monitoring strategy formulation methods, namely local optimisation and global optimisation. In-lab experimental results demonstrate that the response time of an SBS can be managed cost-effectively through CriMon-based monitoring. The effectiveness and efficiency of the two monitoring strategy formulation methods are also evaluated and compared.

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Section: Related Workmentioning

confidence: 87%

Section: Related Workmentioning

confidence: 87%

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Formulating Cost-Effective Monitoring Strategies for Service-Based Systems

Han

Yang

et al. 2014

IIEEE Trans. Software Eng.

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“…Similar expressions hold for Cmax and Dmin. The values for Rmin, Cmin, and Dmax are determined by solving a modified optimization problem in which the objective function is the QoS attribute of interest, subject to the constraints (13)- (14).…”

Section: Optimization Problemmentioning

confidence: 99%

Qos-driven runtime adaptation of service oriented architectures

Cardellini¹,

Casalicchio²,

Grassi³

et al. 2009

Proceedings of the 7th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Found

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Runtime adaptation is recognized as a viable way for a serviceoriented system to meet QoS requirements in its volatile operating environment. In this paper we propose a methodology to drive the adaptation of such a system, that integrates within a unified framework different adaptation mechanisms, to achieve a greater flexibility in facing different operating environments and the possibly conflicting QoS requirements of several concurrent users. To determine the most suitable adaptation action(s), the methodology is based on the formulation and solution of a linear programming problem, which is derived from a behavioral model of the system updated at runtime by a monitoring activity. Numerical experiments show the effectiveness of our approach. Besides the methodology, we also present a prototype tool that implements it.

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“…Most of the proposed methodologies for QoS-driven adaptation of SBS address this problem as a service selection problem (e.g., [5], [26], [30], [101]). Other papers have instead considered SBS adaptation through workflow restructuring, exploiting the inherent redundancy of SBS (e.g., [31], [52], [55].) In [28], a unified framework is proposed where service selection is integrated with other kinds of workflow restructuring to achieve greater flexibility in the adaptation.…”

Section: Introductionmentioning

confidence: 99%