A Broker-Based Approach to Resource Discovery and Selection in Grid Environments

Malarvizhi, N.; Uthariaraj, V. Rhymend

doi:10.1109/iccee.2008.149

Cited by 11 publications

(6 citation statements)

References 8 publications

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“…The selection of the best resources while maximizing the number of allocated virtual networks over a shared physical infrastructure is recognized as an NP-hard problem [18]. Therefore, several approaches have been proposed to tackle this issue, including: exact formulation [19]; heuristicsbased [20]; and economic-based models [21]. Resource Negotiation: Resource negotiation is considered as an important process that enables a service provider to negotiate with multiple infrastructure providers (offering similar resources), in order to select the best one.…”

Section: The Virtual Network Embedding Processmentioning

confidence: 99%

A service oriented broker-based approach for dynamic resource discovery in virtual networks

Rabah¹,

Barachi

Kara

et al. 2015

J Cloud Comp

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In the past few years, the concept of network virtualization has received significant attention from industry and research fora. This concept applies virtualization to networking infrastructures by enabling the dynamic creation of several co-existing logical network instances (or virtual networks) over a shared physical network infrastructure (or substrate network). Due to the potential it offers in terms of diversifying existing networks and ensuring the co-existence of heterogeneous network architectures on top of shared substrates, network virtualization is often considered as an enabler of a polymorphic Internet and a cornerstone of the future Internet architecture. One of the challenges associated with the network virtualization concept is the description, publication, and discovery of virtual resources that can be composed to form virtual networks. To achieve those tasks, there is a need for an expressive information model facilitating information representation and sharing, as well as an efficient resource publication and discovery framework. In this paper, we propose a service oriented, broker-based framework for virtual resource description, publication, and discovery. This framework relies on a novel service-oriented hierarchical business model and an expressive information model for resources/services description. The detailed framework's architecture is presented, and its operation is illustrated using a REST-based content distribution scenario. Furthermore, a proof-of-concept prototype implementation realized using various technologies/tools (e.g. Jersey, JAXB, PostgreSQL, and Xen cloud platform) is presented along with a detailed performance analysis of the system. When compared to existing virtual resource discovery frameworks, our broker-based virtual resource discovery framework offers signification performance improvements of the virtual resources' discovery operation, in terms of response time (92.8% improvement) and incurred network load (77.3% improvement), when dealing with multiple resource providers. Furthermore, relying on a broker as intermediary role simplifies the resources' discovery and selection operations, and improves the overall efficiency of the virtual network embedding process.

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Section: The Virtual Network Embedding Processmentioning

confidence: 99%

A service oriented broker-based approach for dynamic resource discovery in virtual networks

Rabah¹,

Barachi

Kara

et al. 2015

J Cloud Comp

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“…The proposed system [7] uses brokers, which serve as a resource representative and selects the best resource. Resource Brokers are used to maintain a repository of resource registrations.…”

Section: Broker Based Approachmentioning

confidence: 99%

A Survey of Resource Discovery Approaches in Distributed Computing Environment

Murugan¹,

Lopez²

2011

IJCA

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With the increasing need for networked applications and distributed resource sharing, there is a strong incentive for an open large-scale service infrastructure operating over multidomain and multi-technology networks. Distributed computing such as peer-to-peer networks, promise a distributed computing infrastructure that can provide globally available network resources. The network size and complexity continue to increase dynamically. Huge number and heterogeneous nature of computing resources make the resource management a significantly challenging task. Discovering resources in a Grid environment is complex due to the heterogeneous nature and dynamic availability of resources and are owned by different individuals and organizations, each having their own resource management policies and different access and cost models. The motivation behind this paper is to explore the various resource discovery mechanisms that have been designed and implemented with a variety of algorithms and approaches.

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“…Such systems are constructed by networking various machines with different capabilities and coordinating their use to execute jobs. The different phases of grid scheduling process have been discussed (Malarvizhi and Uthariaraj, 2008). A multi-agent architecture that addressed resource management and application execution with support for Quality of Services (QoS) in grid environment is presented (Rezaee et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Resource Selection Algorithms in Grid Computing Environment

Nandagopal¹

2011

Journal of Computer Science

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Problem statement: Meta- scheduling has become important due to increased number of jobs and resources in the area of grid computing to achieve the objectives of grid users and grid resources. Approach: A variety of factors need to be considered for effective scheduling of resources in such environments such as total time job spend in the grid system, global and local allocation policies and resource utilization. A general and extensible scheduling architecture addressing these issues is proposed. Within this architecture a Multi Criteria Resource Selection (MCRS) algorithm is developed and performance of this algorithm is evaluated using simulations for a wide range of parameters. To select a resource for job execution the proposed algorithm considers multiple criteria like processing power, workload and network bandwidth of the resource. Results: The proposed algorithm is compared with the conventional single criteria resource selection algorithms. Conclusion: Simulation results show that in order to improve the performance of both user and resource it is important to consider multiple criteria together to select the optimal resource, rather than considering them separately

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A Broker-Based Approach to Resource Discovery and Selection in Grid Environments

Cited by 11 publications

References 8 publications

A service oriented broker-based approach for dynamic resource discovery in virtual networks

A service oriented broker-based approach for dynamic resource discovery in virtual networks

A Survey of Resource Discovery Approaches in Distributed Computing Environment

Performance Analysis of Resource Selection Algorithms in Grid Computing Environment

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