An architectural approach to autonomic computing

White, Steve R.; Hanson, James E.; Whalley, Ian; Chess, David M.; Kephart, Jeffrey O.

doi:10.1109/icac.2004.1301340

Cited by 191 publications

(126 citation statements)

References 15 publications

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“…The aim of the case study is to develop an autonomic solution for managing the allocation of CPU to services such that high-priority services are treated preferentially, subject to each service getting a minimum amount of CPU. Several policy types are typically used in autonomic systems [44,45]: action policies provide a low-level specification of how the system configuration should be changed to match its state; goal policies specify precise constraints that should be met by varying the system configuration; and utility-function policies supply a "measure of success" that the self-managing system should optimise by appropriately varying its configuration. In our running example we will use a utility-function policy, which is the most flexible of these policy types.…”

Section: A Generic Methods For the Development Of Autonomic Systemsmentioning

confidence: 99%

“…The framework should aid the development of self-management capabilities spawning a rich spectrum of self-* functional areas, e.g., selfconfiguration, self-healing, self-optimisation and self-protection [21,31,34]. This must be achieved through supporting all types of autonomic computing policies, including action, goal and utility-function policies [44,45]. C3 Support for the cost-effective development of self-managing systems for a large variety of application domains and use cases.…”

Section: Introductionmentioning

confidence: 99%

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General-Purpose Autonomic Computing

Călinescu

2009

Autonomic Computing and Networking

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The success of mainstream computing is largely due to the widespread availability of general-purpose architectures and of generic approaches that can be used to solve real-world problems cost-effectively and across a broad range of application domains. In this chapter, we propose that a similar generic framework is used to make the development of autonomic solutions cost effective, and to establish autonomic computing as a major approach to managing the complexity of today's large-scale systems and systems of systems. To demonstrate the feasibility of general-purpose autonomic computing, we introduce a generic autonomic computing framework comprising a policy-based autonomic architecture and a novel fourstep method for the effective development of self-managing systems. A prototype implementation of the reconfigurable policy engine at the core of our architecture is then used to develop autonomic solutions for case studies from several application domains. Looking into the future, we describe a methodology for the engineering of self-managing systems that extends and generalises our autonomic computing framework further.

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Section: A Generic Methods For the Development Of Autonomic Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

General-Purpose Autonomic Computing

Călinescu

2009

Autonomic Computing and Networking

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“…This functionality is described in our previous work [8,13]. Additionally, the policy engine in [8,13] supports all types of policies that are standard in policybased autonomic computing [44,45], and uses resource discovery tech- niques to identify the system components to which these policies need to be applied. Component-based development techniques introduced in Section 3.3 are employed to integrate multiple autonomic IT systems into an autonomic system of systems.…”

Section: Overviewmentioning

confidence: 99%

“…Policy-based autonomic computing All standard types of autonomic computing policies [29,44,45] are supported by the framework. A formal description and simple examples of these policies are provided in Section 3.2.…”

Section: Overviewmentioning

confidence: 99%

Software Engineering Techniques for the Development of Systems of Systems

Călinescu

Kwiatkowska

2010

Foundations of Computer Software. Future Trends and Techniques for Development

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Abstract. This paper investigates how existing software engineering techniques can be employed, adapted and integrated for the development of systems of systems. Starting from existing system-of-systems (SoS) studies, we identify computing paradigms and techniques that have the potential to help address the challenges associated with SoS development, and propose an SoS development framework that combines these techniques in a novel way. This framework addresses the development of a class of IT systems of systems characterised by high variability in the types of interactions between their component systems, and by relatively small numbers of such interactions. We describe how the framework supports the dynamic, automated generation of the system interfaces required to achieve these interactions, and present a case study illustrating the development of a data-centre SoS using the new framework.

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“…There are many different types of adaptation [9], including self-configuration, selfhealing, self-optimisation and self-protection [10,11]; collectively referred to as 'self-management'. Self-management implies that the system is able to adjust some aspect of its own behaviour.…”

Section: Software Techniques For Self-configurationmentioning

confidence: 99%

Towards a Dynamically Reconfigurable Automotive Control System Architecture

Anthony

Rettberg

Chen

et al.

IFIP – The International Federation for Information Processing

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Abstract:This paper proposes a vehicular control system architecture that supports selfconfiguration. The architecture is based on dynamic mapping of processes and services to resources to meet the challenges of future demanding use-scenarios in which systems must be flexible to exhibit context-aware behaviour and to permit customization. The architecture comprises a number of low-level services that will provide the required system functionalities, which include automatic discovery and incorporation of new devices, self-optimisation to best-use the processing, storage and communication resources available, and self-diagnostics. The benefits and challenges of dynamic configuration and the automatic inclusion of users' Consumer Electronic (CE) devices are briefly discussed and the self-management and control-theoretic technologies that will be used are described in outline. A number of generic use-cases have been identified, each with several specific use-case scenarios. To demonstrate the extent of the flexible reconfiguration facilitated by the architecture, some of these use-cases are described, each exemplifying a different aspect of dynamic reconfiguration.

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An architectural approach to autonomic computing

Cited by 191 publications

References 15 publications

General-Purpose Autonomic Computing

General-Purpose Autonomic Computing

Software Engineering Techniques for the Development of Systems of Systems

Towards a Dynamically Reconfigurable Automotive Control System Architecture

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