Research challenges on online service quality prediction for proactive adaptation

Metzger,; Chi, Chi; Engel,; Marconi, Annapaola

doi:10.1109/s-cube.2012.6225512

Cited by 27 publications

(15 citation statements)

References 30 publications

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“…Research on predictive process monitoring (such as [3,5,7,12,13,22,33]) and proactive adaptation (such as [1,20,23]) focused on aggregate prediction accuracy. Only recently, reliability estimates have been considered in the context of predictive process monitoring.…”

Section: Related Workmentioning

confidence: 99%

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Risk-Based Proactive Process Adaptation

Metzger

Bohn

2017

Service-Oriented Computing

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Abstract. Proactive process adaptation facilitates preventing or mitigating upcoming problems during process execution, such as process delays. Key for proactive process adaptation is that adaptation decisions are based on accurate predictions of problems. Previous research focused on improving aggregate accuracy, such as precision or recall. However, aggregate accuracy provides little information about the error of an individual prediction. In contrast, so called reliability estimates provide such additional information. Previous work has shown that considering reliability estimates can improve decision making during proactive process adaptation and can lead to cost savings. So far, only constant cost functions have been considered. In practice, however, costs may differ depending on the magnitude of the problem; e.g., a longer process delay may result in higher penalties. To capture different cost functions, we exploit numeric predictions computed from ensembles of regression models. We combine reliability estimates and predicted costs to quantify the risk of a problem, i.e., its probability and its severity. Proactive adaptations are triggered if risks are above a pre-defined threshold. A comparative evaluation indicates that cost savings of up to 31%, with 14.8% savings on average, may be achieved by the risk-based approach.

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Section: Related Workmentioning

confidence: 99%

“…Thereby, proactive process adaptation addresses shortcomings of reactive adaptation, such as loss of money (e.g., due to contractual penalties) or time-consuming roll-back and compensation activities [1,20].…”

Section: Introductionmentioning

confidence: 99%

Risk-Based Proactive Process Adaptation

Metzger

Bohn

2017

Service-Oriented Computing

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“…Based on the general taxonomy for related techniques [10], the FUSION evaluator service approach falls into the scope of run-time verification and online testing methods. In a recent paper [15], the authors propose a method for QoS prediction of candidate services for adaptation of dynamic composite services.…”

Section: Related Workmentioning

confidence: 99%

Evaluator services for optimised service placement in distributed heterogeneous cloud infrastructures

Vandeputte¹,

Vermoesen²,

Griffin

et al. 2015

2015 European Conference on Networks and Communications (EuCNC)

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Abstract-Optimal placement of demanding real-time interactive applications in a distributed heterogeneous cloud very quickly results in a complex tradeoff between the application constraints and resource capabilities. This requires very detailed information of the various requirements and capabilities of the applications and available resources. In this paper, we present a mathematical model for the service optimization problem and study the concept of evaluator services as a flexible and efficient solution for this complex problem. An evaluator service is a service probe that is deployed in particular runtime environments to assess the feasibility and cost-effectiveness of deploying a specific application in such environment. We discuss how this concept can be incorporated in a general framework such as the FUSION architecture and discuss the key benefits and tradeoffs for doing evaluator-based optimal service placement in widely distributed heterogeneous cloud environments.

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“…In proactive solutions, mostly prediction based approach is used to deal with the issue [2]. To adapt dynamically to composition environment, reinforcement policy is used in [10] to get optimal workflow.…”

Section: Related Workmentioning

confidence: 99%

“…Reactive solutions often incur time and cost with undesired consequences which are often handled after they occur. There exist online prediction techniques, as an alternative to reactive solutions, which anticipate failures and support the process to take replacement decisions before a failure occurs [2]. A reactive approach merely reacts to changes, whereas a prediction based approach suggests going for alternative solutions in advance.…”

Section: Introductionmentioning

confidence: 99%

Managing Availability of web services in service oriented systems

Kahlon

Chahal

Kapur

et al. 2015

2015 Asia-Pacific Software Engineering Conference (APSEC)

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In real world Service Oriented Software Systems, changes to web services infrastructure are not an exception but a rule. Timely detection and a fast reaction to handle these changes are important to reduce the impact. This paper proposes an agent based framework to manage the situation when third party web services become unavailable. It uses the concept of mobile agents to monitor web services on the provider side. The framework is implemented using Advanced JAVA and JADE environment. Experimental analysis shows that the proposed solution is both effective and efficient. In future, the framework will be extended to include monitoring of other Quality of Service properties.

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Research challenges on online service quality prediction for proactive adaptation

Cited by 27 publications

References 30 publications

Risk-Based Proactive Process Adaptation

Risk-Based Proactive Process Adaptation

Evaluator services for optimised service placement in distributed heterogeneous cloud infrastructures

Managing Availability of web services in service oriented systems

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