Exercises in architecture specification using CaSH

Kuper, Jan; Baaij, Christiaan; Kooijman, Matthijs; Gerards, Marco E. T.

doi:10.1049/ic.2010.0149

Cited by 5 publications

(2 citation statements)

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“…These strategies are adequate to describe all system resources where all the possible collaborative system and resource properties and behaviors (e.g., the structure of the processor or memory architectures) are precisely described, but we must take into account that these approaches might not be scalable concerning the distribution of the resource information. The works in [160][161][162][163] are examples of semantic-based schemes which use functional languages to describe hardware resources. The use of higher-order functions allows the composition of arbitrarily complex structures in a clear and concise way.…”

Section: Ontology and Resource Descriptionmentioning

confidence: 99%

Resource discovery for distributed computing systems: A comprehensive survey

Zarrin

Aguiar

Barraca

2018

Journal of Parallel and Distributed Computing

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Section: Ontology and Resource Descriptionmentioning

confidence: 99%

Resource discovery for distributed computing systems: A comprehensive survey

Zarrin

Aguiar

Barraca

2018

Journal of Parallel and Distributed Computing

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“…The works in [71][72][73] are examples of semantic-based schemes which use functional languages to describe hardware resources. The use of higher-order functions allows the composition of arbitrarily complex structures in a clear and concise way.…”

Section: Resource Descriptionmentioning

confidence: 99%

HARD: Hybrid Adaptive Resource Discovery for Jungle Computing

Zarrin

Aguiar

Barraca

2017

Journal of Network and Computer Applications

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractIn recent years, Jungle Computing has emerged as a distributed computing paradigm based on simultaneous combination of various hierarchical and distributed computing environments which are composed by large number of heterogeneous resources. In such a computing environment, the resources and the underlying computation and communication infrastructures are highly-hierarchical and heterogeneous. This creates a lot of difficulty and complexity for finding the proper resources in a precise way in order to run a particular job on the system efficiently. This paper proposes Hybrid Adaptive Resource Discovery (HARD), a novel efficient and highly scalable resource-discovery approach which is built upon a virtual hierarchical overlay based on self-organization and self-adaptation of processing resources in the system, where the computing resources are organized into distributed hierarchies according to a proposed hierarchical multi-layered resource description model. The proposed approach supports distributed query processing within and across hierarchical layers by deploying various distributed resource discovery services and functionalities in the system which are implemented using different adapted algorithms and mechanisms in each level of hierarchy. The proposed approach addresses the requirements for resource discovery in Jungle Computing environments such as high-hierarchy, high-heterogeneity, high-scalability and dynamicity. Simulation results show significant scalability and efficiency of the proposed approach over highly heterogeneous, hierarchical and dynamic computing environments.Keywords: distributed operation systems, many-core systems, P2P, resource management, grid computing, DHT

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