Hierarchical Architecture for Real-Time Adaptive Resource Management

Cardei, Ionut; Jha, Rakesh Mohan; Cardei, Mihaela; Pavan, A.

doi:10.1007/3-540-45559-0_21

Cited by 14 publications

(10 citation statements)

References 9 publications

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“…In the context of resource management adaptation, Cardei et al [11] presented a Real-Time Adaptive Resource Manager (RTARM), developed at the Honeywell Technology Center. RTARM is a general middleware architecture/framework for adaptive management of Integrated Services, and is targeted at real-time mission-critical distributed applications.…”

Section: Related Workmentioning

confidence: 99%

An approach for quality of service adaptation in service‐oriented Grids

Al‐Ali

Hafid²,

Rana

et al. 2004

Concurrency and Computation

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SUMMARYSome applications utilizing Grid computing infrastructure require the simultaneous allocation of resources, such as compute servers, networks, memory, disk storage and other specialized resources. Collaborative working and visualization is one example of such applications. In this context, quality of service (QoS) is related to Grid services, and not just to the network connecting these services. With the emerging interest in service-oriented Grids, resources may be advertised and traded as services based on a service level agreement (SLA). Such a SLA must include both general and technical specifications, including pricing policy and properties of the resources required to execute the service, to ensure QoS requirements are satisfied. An approach for QoS adaptation is presented to enable the dynamic adjustment of behavior of an application based on changes in the pre-defined SLA. The approach is particularly useful if workload or network traffic changes in unpredictable ways during an active session.

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Section: Related Workmentioning

confidence: 99%

An approach for quality of service adaptation in service‐oriented Grids

Al‐Ali

Hafid²,

Rana

et al. 2004

Concurrency and Computation

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“…A precursor of DYNAMIQUE is the Real-time Adaptive Resource Management framework (RTARM) [2]. RTARM defines a hierarchical architecture of Service Managers that supports end-to-end QoS negotiation, translation and adaptation for distributed applications in wired networks.…”

Section: Related Workmentioning

confidence: 99%

Resource Management for Ad-Hoc Wireless Networks with Cluster Organization

et al. 2004

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Abstract. Boosted by technology advancements, government and commercial interest, ad-hoc wireless networks are emerging as a serious platform for distributed mission-critical applications. Guaranteeing QoS in this environment is a hard problem because several applications may share the same resources in the network, and mobile ad-hoc wireless networks (MANETs) typically exhibit high variability in network topology and communication quality. In this paper we introduce DYNAMIQUE, a resource management infrastructure for MANETs. We present a resource model for multi-application admission control that optimizes the application admission utility, defined as a combination of the QoS satisfaction ratio. A method based on external adaptation (shrinking QoS for existing applications and later QoS expansion) is introduced as a way to reduce computation complexity by reducing the search space. We designed an application admission protocol that uses a greedy heuristic to improve application utility. For this, the admission control considers network topology information from the routing layer. Specifically, the admission protocol takes benefit from a cluster network organization, as defined by ad-hoc routing protocols such as CBRP and LANMAR. Information on cluster membership and cluster head elections allows the admission protocol to minimize control signaling and to improve application quality by localizing task mapping.

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“…Each of them provides its own architecture based on agents [8], components [5], layers [10] or hierarchical services [3]. These QMSs implement different combinations of functions such as monitoring [1] or contract based negotiation [6], and different adaptation policy such as scheduling [7] or expert system [14].…”

Section: Conclusion and Related Workmentioning

confidence: 99%

“…The framework proposed in this paper generalizes our existing QMSs and has been iteratively enhanced to include specific properties such as in RTARM [3]. Based on Local and Global Managers, a wide range of architectures can be implemented.…”

Section: Conclusion and Related Workmentioning

confidence: 99%

“…We have already implemented three autonomous systems: ARTO (Adaptable Real-Time Objects) provides guarantees on service properties and implements graceful degradation [4], DCBL (Dynamic Control of Behavior based on Learning) is highly autonomic, which reduces the burden of the designer [18], and PMQDA (Plan-based Middleware for QoS management ofDistributed Applications) ensures end to end deadline, supplies synchronization capabilities, and deals with distributed applications [19]. To complete our examples, this study includes an agent-based approach from the literature (RTARM, Real-Time Adaptive Resource Management [3]). The rest of the paper is organized as follow: section 2 shows the main components of the proposed framework, examples of implementation and the deployment diagram of PMQDA; section 3 gives a general model of applications and examples of implementation; section 4 outlines code generation using MDA; finally, section 5 discusses related works and concludes.…”

Section: Introductionmentioning

confidence: 99%

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Code Generation from the Description of QoS-Aware Applications

Alhalabi

Vienne

Maranzana

et al.

2006 2nd International Conference on Information &Amp; Communication Technologies

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Modeling applications and Quality of Service (QoS) features is now quite easy using UML and its extensions (profiles). However, to write code ensuring properties such as deadlines remains difficult. For non-critical systems, a simpler approach attempting to supply QoS properties but without guarantee may be satisfactory. In this direction, we propose to build adaptable autonomous systems that modify dynamically their behavior in order to fit their execution context, and to provide services with the expected QoS properties. Such systems have common properties: this paper defines first a generic component basedframework, and then gives a general model for the code of adaptable applications. Finally, code generation using Model Driven Architecture (MDA) is outlined.

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Hierarchical Architecture for Real-Time Adaptive Resource Management

Cited by 14 publications

References 9 publications

An approach for quality of service adaptation in service‐oriented Grids

An approach for quality of service adaptation in service‐oriented Grids

Resource Management for Ad-Hoc Wireless Networks with Cluster Organization

Code Generation from the Description of QoS-Aware Applications

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