A journey to highly dynamic, self-adaptive service-based applications

Nitto, Elisabetta Di; Ghezzi, Carlo; Metzger, Andreas; Papazoglou, Michael P.; Pohl, Klaus

doi:10.1007/s10515-008-0032-x

Cited by 202 publications

(130 citation statements)

References 57 publications

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“…These problems have a direct impact on the system dependability, both in terms of its availability (ability to accept a service request, when a service offered by the system is invoked) and of its reliability (ability to successfully complete the requested service, once a request has been accepted) [1]. Thus, guaranteeing a high dependability level for SOA systems is a key factor for their success in the envisioned "service market", where service providers compete by offering services with different quality and cost attributes [2,3].…”

Section: Introductionmentioning

confidence: 99%

Towards Self-adaptation for Dependable Service-Oriented Systems

Cardellini

Casalicchio

Grassi

et al. 2009

Architecting Dependable Systems VI

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Abstract. Increasingly complex information systems operating in dynamic environments ask for management policies able to deal intelligently and autonomously with problems and tasks. An attempt to deal with these aspects can be found in the Service-Oriented Architecture (SOA) paradigm that foresees the creation of business applications from independently developed services, where services and applications build up complex dependencies. Therefore the dependability of SOA systems strongly depends on their ability to self-manage and adapt themselves to cope with changes in the operating conditions and to meet the required dependability with a minimum of resources. In this paper we propose a model-based approach to the realization of self-adaptable SOA systems, aimed at the fulfillment of dependability requirements. Specifically, we provide a methodology driving the system adaptation and we discuss the architectural issues related to its implementation. To bring this approach to fruition, we developed a prototype tool and we show the results that can be achieved with a simple example.

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Section: Introductionmentioning

confidence: 99%

Towards Self-adaptation for Dependable Service-Oriented Systems

Cardellini

Casalicchio

Grassi

et al. 2009

Architecting Dependable Systems VI

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“…The service selection problem includes constraints associated with services assignment, stateful services, cost, time, energy, and availability. 2 Recall that in our framework the deployment starts when the application execution begins for the whole set of concrete services that have to be deployed locally.…”

Section: Optimization Modelmentioning

confidence: 99%

“…The Software as a Service (SaaS) paradigm [2] is especially relevant in the above context for three main reasons. First, it fosters the idea that each software fragment provides a welldefined functionality of general use to be composed with other…”

mentioning

confidence: 99%

Optimizing Service Selection and Allocation in Situational Computing Applications

Sandionigi

Ardagna

Cugola

et al. 2013

IEEE Trans. Serv. Comput.

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Abstract-This paper describes a novel model for the service selection problem of workflow-based applications in the context of self-managing situated computing. In such systems, the execution environment includes different types of devices, from remote servers to personal notebooks, smartphones, and wireless sensors, which build an infrastructure that can dynamically change both its physical and logical architecture at run-time. We assume that worflows are defined abstractly; i.e., they invoke abstract services whose concrete counterparts can be selected dynamically. We also assume that concrete service implementations may possibly migrate on the nodes of the infrastructure. The selection problem we address is framed as an optimization problem of the quality of service, which evaluates at run-time the optimal binding to concrete services as well as the trade-off between the remote execution of software fragments and their dynamic deployment on local nodes of the computational environment. The final deployment takes into account quality of service constraints, the capabilities of the physical devices involved, including their performance and energy consumption, and the characteristics of the networking links connecting them.

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“…Modern software systems increasingly live in an open world [6]. In the context of this paper, we assume this to mean that the components that can be used to compose new application may be dynamically discovered and they may change over time.…”

Section: Introduction and Motivationsmentioning

confidence: 99%

Runtime Monitoring of Functional Component Changes with Behavior Models

Ghezzi

Mocci

Sangiorgio

2012

Models in Software Engineering

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Abstract. We consider the problem of run-time discovery and continuous monitoring of new components that live in an open environment. We focus on extracting a formal model-which may not be availableby observing the behavior of the running component. We show how the model built at run time can be enriched through new observations (dynamic model update). We also use the inferred model to perform runtime verification. That is, we try to identify if any changes are made to the component that modify its original behavior, contradict the previous observations, and invalidate the inferred model.

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A journey to highly dynamic, self-adaptive service-based applications

Cited by 202 publications

References 57 publications

Towards Self-adaptation for Dependable Service-Oriented Systems

Towards Self-adaptation for Dependable Service-Oriented Systems

Optimizing Service Selection and Allocation in Situational Computing Applications

Runtime Monitoring of Functional Component Changes with Behavior Models

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