CycloidGrid: A proximity-aware P2P-based resource discovery architecture in volunteer computing systems

Journal of Parallel and Distributed Computing

2018

Section: Ds Base Mechanismmentioning

confidence: 99%

“…Content-based grouping CycloidGrid [50] Load-Aware Nodes/resources are organized in a particular overlay (e.g, DHT ring) in order to equally distribute the loads (in terms of resource information or query workloads) among nodes to enhance the overall system performance.…”

Section: Ontology and Resource Descriptionmentioning

confidence: 99%

Resource discovery for distributed computing systems: A comprehensive survey

Journal of Parallel and Distributed Computing

2018

“…In this section, we briefly compare our approach with some discovery examples in the literature in terms of querying features. These approaches include SWORD [54], Node-Wiz [55], MDS-4 [56], MatchTree [57], CycloidGrid [58] and OntoSum [59]. Table 9 presents the result of our qualitative assessment.…”

Section: Other Featuresmentioning

confidence: 99%

“…Further examples of P2P based discovery approaches include MatchTree [57], CycloidGrid [58]. MatchTree proposes a scalable and fault tolerant system by creating a self-organized tree for query distribution and result aggregation with a specific asymptotic latency increase pattern.…”

Section: Resource Discoverymentioning

confidence: 99%

HARD: Hybrid Adaptive Resource Discovery for Jungle Computing

Journal of Network and Computer Applications

2017

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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“…Proximity-aware [14], semantic-aware [15] and QoSaware [16] resource discovery are the sample applications of content-based clustering(see TableI). [7] ERGOT [8] Proximity-Aware The physically nearby nodes/resources are organized in the same cluster Content-based Clustering TriPod [9], PIRD [10] QoS-Aware The nodes/resources with similar quality of service are organized in the same cluster Content-based Clustering CycloidGrid [11] Load-Aware The nodes/resources are organized in a particular overlay (e.g, DHT ring) in order to equally distribute the communication loads among nodes to enhance the overall system performance.…”

Section: Related Workmentioning

confidence: 99%

A self-organizing and self-configuration algorithm for resource management in service-oriented systems

2014 IEEE Symposium on Computers and Communications (ISCC)

2014