Automated Service Composition with Adaptive Planning

Beauche, Sandrine; Poizat, Pascal

doi:10.1007/978-3-540-89652-4_42

Cited by 37 publications

(25 citation statements)

References 14 publications

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“…Issues related to semantic and syntactic matching for application composition have been studied, particularly by Ben Mokhtar et al [4]. Composition based on planning algorithms has been proposed among others by Beauche & Poizat [3], Ranganathan & Campbell [46] and Sousa et al [61], as well as in our previous work [17]. We associate our current work with manual and context-aware composition application, as shown in Figure 1.…”

Section: Related Workmentioning

confidence: 98%

“…Although some solutions provide user interfaces for customizing the predefined task templates to match user needs [31,34,61], a typical task-based system rarely supports end-users. Instead, task templates are created by application developers at design time as they are described in a computer-readable form [3,4,17,61]. Application composition is typically carried out by semantically and syntactically matching the original task template according to some specified criteria and a matching (or planning) algorithm.…”

Section: Related Workmentioning

confidence: 99%

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iCompose: context-aware physical user interface for application composition

Davidyuk

Gilman

Milara

et al. 2011

Open Computer Science

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Ubiquitous computing environments advocate creating applications by plugging together various resources (mobile devices, displays, augmented everyday objects, and so on) and Web Services to support the user's everyday activities and needs. This approach is referred to as application composition, and such applications are called composite. Due to the dynamic nature of ubiquitous environments, application composition has to be supported at runtime, so that the applications are able to adapt to the situation within the environment and other contexts. Application composition is usually performed by autonomous context-aware mechanisms that provide limited or no control for users. Still, users need to be aware of their environments and be able to control and configure applications when they are composed and executed. Towards this goal we present in this article a context-aware application composition system based on the iCompose interface for composing and controlling applications at runtime. Users compose applications by simply touching the resources in the environment with their mobile devices, while the iCompose interface provides feedback and assists users by suggesting them possible further actions. The interface relies on a rule-based reasoner and utilizes various context sources to support users dynamically, according to the situation in which they compose applications. We present a complete implementation of the system and report the results of a user evaluation study conducted with 21 participants. This study assesses the issues of control, usability, feasibility and user acceptance of the iCompose interface for context-aware application composition and the prototype as a whole.Keywords: ubiquitous computing • interaction design • physical user interface design • application composition © Versita Sp. z o.o.

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Section: Related Workmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

iCompose: context-aware physical user interface for application composition

Davidyuk

Gilman

Milara

et al. 2011

Open Computer Science

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“…A great deal of existing proposals in the service-oriented computing field clearly transfers into our envisaged platform. Approaches for service discovery (Ran, 2003), service composition (Rao and Su, 2005) (in particular using AI techniques (Beauche and Poizat, 2008)) and service adaptation (di Nitto et al, 2008) are of application to satisfy some of the envisaged challenges.…”

mentioning

confidence: 99%

Enabling Informed Decision Making Through Mobile Technologies: A Challenge for Software Engineering

Franch

Perini

Seyff

2014

Communications in Computer and Information Science

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Abstract. The potential of mobile technologies is not fully exploited by current software services. One of the most influencing reasons for this problem is the lack of novel software engineering methods and tools that can master the complexity of mobile environments. Looking at a person in a smart environment, where mobile technologies and sensors are installed to support daily activities, it is observed that informed decision-making with the help of mobile technologies is beyond what users can expect from current software services. In this paper we present a motivating scenario to highlight the limitations of current decision support approaches. Based on this discussion we identify significant software engineering challenges, which currently hinder the realization of advanced decision support. In our research we have developed an initial version of a comprehensive framework that allows overcoming the challenges identified. It furthermore highlights which software engineering research lines may help to realize this vision.

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“…In Sect. 4 we present the details of sharing analysis, which is the underlying technique used for inferring (safe approximations of) functional dependencies and data attributes in service compositions. We discuss the inputs to the process, and the 01 0.…”

Section: Introductionmentioning

confidence: 99%

“…This involves ensuring, among other things, that compatibility with the specified protocols is preserved during conversations with partner (or component) services [35], that the appropriate partner operations are invoked, and that the messages that are exchanged have the correct format and meaning [4]. An adaptation can alter the state of the service composition, replace its components, rearrange activities, reroute messages, fragment the composition into several parts that are executed in a distributed manner or merge several fragments into one, etc., but any adaptation action, simple or complex, must respect the conversation protocols, service interfaces, and message formats and meaning.…”

Section: Introductionmentioning

confidence: 99%

A sharing-based approach to supporting adaptation in service compositions

2012

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Data-related properties of the activities involved in a service composition can be used to facilitate several design-time and run-time adaptation tasks, such as service evolution, distributed enactment, and instance-level adaptation. A number of these properties can be expressed using a notion of sharing. We present an approach for automated inference of data properties based on sharing analysis, which is able to handle service compositions with complex control structures, involving loops and sub-workflows. The properties inferred can include data dependencies, information content, domain-defined attributes, privacy or confidentiality levels, among others. The analysis produces characterizations of the data and the activities in the composition in terms of minimal and maximal sharing, which can then be used to verify compliance of potential adaptation actions, or as supporting information in their generation. This sharing analysis approach can be used both at design time and at run time. In the latter case, the results of analysis can be refined using the composition traces (execution logs) at the point of execution, in order to support run-time adaptation.

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Automated Service Composition with Adaptive Planning

Cited by 37 publications

References 14 publications

iCompose: context-aware physical user interface for application composition

iCompose: context-aware physical user interface for application composition

Enabling Informed Decision Making Through Mobile Technologies: A Challenge for Software Engineering

A sharing-based approach to supporting adaptation in service compositions

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