Task-based self-adaptation

“…Activitycentric context [20] is essential in our proposed roadmap, but is insufficient by itself for achieving high-level awareness. Various research efforts recognize the importance of activity context for task-awareness [45], self adaptation [21,52], or resource recommendation [46]. These approaches, however, miss out on the potential of interaction analysis.…”

Section: Context and Self Modelingmentioning

confidence: 99%

A roadmap towards sustainable self-aware service systems

Dustdar

Dorn

et al. 2010

Proceedings of the 2010 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems

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Self-awareness and self-adaptation have become primary concerns in large-scale systems as they have become too complex to be managed by human administrators alone, but rather require a new blend of coordination mechanisms between people and software services. This paper presents a roadmap to effective and efficient system adaptation through coupling self-awareness of globallevel goals with sustainability constraints. Sustainability of large-scale systems challenges self-adaptation approaches by its intrinsic characters of global and long-lasting effects. We introduce five levels of awareness: (i) event-awareness, (ii) situation-awareness, (iii) adaptability awareness, (iv) goalawareness, and (v) future-awareness. Within each level we introduce applicable principles and subsequently outline necessary models, algorithms, and protocols. The approach puts special focus on the interdependencies of human and service elements.

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“…Our adaptation model closely resembles the 3-tier adaptation model described in [8]. However, to the best of our knowledge, the model in [8], just like the rest of Project Aura that it is derived from, is suitable only for single-user workflows, whereas our approach in this paper makes no assumptions on the number of users jointly executing a workflow.…”

Section: Representing and Modeling Adaptationmentioning

confidence: 99%

“…However, to the best of our knowledge, the model in [8], just like the rest of Project Aura that it is derived from, is suitable only for single-user workflows, whereas our approach in this paper makes no assumptions on the number of users jointly executing a workflow. It is also to be noted that our 3-tier adaptive workflow model [12] was already presented in 2000, and hence predates the model in [8].…”

Section: Representing and Modeling Adaptationmentioning

confidence: 99%

Towards service orientation in pervasive computing systems

Bellur

Narendra²

2005

International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II

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The emergence of the service-oriented computing paradigm has opened the possibility of using dynamic binding of application requirements to the resources needed to fulfill application tasks. Especially in pervasive computing that is characterized by disconnected operation and mobility, the process of using service specifications and dynamic binding becomes critical. In this paper, we summarize our ongoing work in the area of integrating service orientation into pervasive computing using the notion of specifying service requirements and using these specifications to bind to the available resources dynamically instead of hardwiring them statically. We term these specifications programmable requirements since they can be interpreted at run time to bind to a resource satisfying those specifications. Interestingly this approach also satisfies the basis for two key types of adaptation prevalent in pervasive computing systems -functional and architectural -as we show in this paper.

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Task-based self-adaptation

Cited by 23 publications

References 3 publications

Rainbow: architecture-based self-adaptation with reusable infrastructure

Rainbow: architecture-based self-adaptation with reusable infrastructure

A roadmap towards sustainable self-aware service systems

Towards service orientation in pervasive computing systems

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