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Aaron Harwood

Publications and source records attributed to Aaron Harwood.

22 records · Page 2Linked to original sources

SLA-Based Coordinated Superscheduling Scheme and Performance for Computational Grids

The Service Level Agreement~(SLA) based grid superscheduling approach promotes coordinated resource sharing. Superscheduling is facilitated between administratively and topologically distributed grid sites by grid schedulers such as Resource brokers. In this work, we present a market-based SLA coordination mechanism. We based our SLA model on a well known \emph{contract net protocol}. The key advantages of our approach are that it allows:~(i) resource owners to have finer degree of control over the resource allocation that was previously not possible through traditional mechanism; and (ii) superschedulers to bid for SLA contracts in the contract net with focus on completing the job within the user specified deadline. In this work, we use simulation to show the effectiveness of our proposed approach.

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A Case for Cooperative and Incentive-Based Coupling of Distributed Clusters

Research interest in Grid computing has grown significantly over the past five years. Management of distributed resources is one of the key issues in Grid computing. Central to management of resources is the effectiveness of resource allocation as it determines the overall utility of the system. The current approaches to superscheduling in a grid environment are non-coordinated since application level schedulers or brokers make scheduling decisions independently of the others in the system. Clearly, this can exacerbate the load sharing and utilization problems of distributed resources due to suboptimal schedules that are likely to occur. To overcome these limitations, we propose a mechanism for coordinated sharing of distributed clusters based on computational economy. The resulting environment, called \emph{Grid-Federation}, allows the transparent use of resources from the federation when local resources are insufficient to meet its users' requirements. The use of computational economy methodology in coordinating resource allocation not only facilitates the QoS based scheduling, but also enhances utility delivered by resources.

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Diffusive Load Balancing of Loosely-Synchronous Parallel Programs over Peer-to-Peer Networks

The use of under-utilized Internet resources is widely recognized as a viable form of high performance computing. Sustained processing power of roughly 40T FLOPS using 4 million volunteered Internet hosts has been reported for embarrassingly parallel problems. At the same time, peer-to-peer (P2P) file sharing networks, with more than 50 million participants, have demonstrated the capacity for scale in distributed systems. This paper contributes a study of load balancing techniques for a general class of loosely-synchronous parallel algorithms when executed over a P2P network. We show that decentralized, diffusive load balancing can be effective at balancing load and is facilitated by the dynamic properties of P2P. While a moderate degree of dynamicity can benefit load balancing, significant dynamicity hinders the parallel program performance due to the need for increased load migration. To the best of our knowledge this study provides new insight into the performance of loosely-synchronous parallel programs over the Internet.

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Analytical formulations of Peer-to-Peer Connection Efficiency

Use of Peer-to-Peer (P2P) service networks introduces a new communication paradigm because peers are both clients and servers and so each peer may provide/request services to/from other peers. Empirical studies of P2P networks have been undertaken and reveal useful characteristics. However there is to date little analytical work to describe P2P networks with respect to their communication paradigm and their interconnections. This paper provides an analytical formulation and optimisation of peer connection efficiency, in terms of minimising the fraction of wasted connection time. Peer connection efficiency is analysed for both a uni- and multi-connected peer. Given this fundamental optimisation, the paper optimises the number of connections that peers should make use of as a function of network load, in terms of minimising the total queue size that requests in the P2P network experience. The results of this paper provide a basis for engineering high performance P2P interconnection networks. The optimisations are useful for reducing bandwidth and power consumption, e.g. in the case of peers being mobile devices with a limited power supply. Also these results could be used to determine when a (virtual) circuit should be switched to support a connection.

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