5,956 research outputs found

    Incentive based Routing Protocol for Mobile Peer to Peer Networks

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    Incentive models are becoming increasingly popular in Mobile Peer to Peer Networks (M-P2P) as these models entice node participation in return for a virtual currency to combat free riding and to effectively manage constraint resources in the network. Many routing protocols proposed are based on best effort data traffic policy, such as the shortest route selection (hop minimization). Using virtual currency to find a cost effective optimal route from the source to the destination, while considering Quality of Service (QoS) aspects such as bandwidth and service capacity constraints for data delivery, remains a challenging task due to the presence of multiple paths and service providers. Modeling the network as a directed weighted graph and using the cost acquired from the price function as an incentive to pay the intermediate nodes in M-P2P networks to forward data, we develop a Game theoretic approach based on stochastic games to find an optimal route considering QoS aspect. The performance of our routing protocol is evaluated and compared with some existing routing protocols and the result shows that our protocol proves to be efficient compared to shortest-path DSR and multiple paths SMR in terms of average response time, energy and bandwidth utilization in the network

    An economic incentive based routing protocol incorporating quality of service for mobile peer-to-peer networks

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    Economic incentive models are becoming increasingly popular in Mobile Peer to Peer Networks (M-P2P). These models entice node participation to combat free riding and to effectively manage constraint resources in the network. Due to the dynamic topology of the M-P2P network, the connections between the peers become unpredictable and therefore, reliable routing becomes important. Many routing protocols proposed earlier (such as DSR, AODV) are based on best effort data traffic policy, such as the shortest route selection (hop minimization). Using economic models to find a cost effective optimal route from the source to the destination, while considering Quality of Service (QoS) aspects such as bandwidth and Service Capacity constraints for data delivery, remains a challenging task due to the presence of multiple paths and service providers. In this paper, we propose a Game theory based economic approach for routing with QoS support in M-P2P networks to forward data. Modeling the network as a directed weighted graph and using the cost acquired from the price function as an incentive to pay the intermediate nodes, we develop a Game theoretic approach based on stochastic games to find an optimal route. We formulate a capacity function, which provides the available bandwidth to support the QoS aspect. The performance of our routing protocol is also evaluated and compared with some existing routing protocols and the result shows that our protocol proves to be efficient compared to shortest-path DSR and multiple paths SMR in terms of average response time, energy utilization and bandwidth availability in the network --Abstract, page iv

    Overlay networks for smart grids

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    A Taxonomy of Data Grids for Distributed Data Sharing, Management and Processing

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    Data Grids have been adopted as the platform for scientific communities that need to share, access, transport, process and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this paper, we discuss the key concepts behind Data Grids and compare them with other data sharing and distribution paradigms such as content delivery networks, peer-to-peer networks and distributed databases. We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation and scheduling. Finally, we map the proposed taxonomy to various Data Grid systems not only to validate the taxonomy but also to identify areas for future exploration. Through this taxonomy, we aim to categorise existing systems to better understand their goals and their methodology. This would help evaluate their applicability for solving similar problems. This taxonomy also provides a "gap analysis" of this area through which researchers can potentially identify new issues for investigation. Finally, we hope that the proposed taxonomy and mapping also helps to provide an easy way for new practitioners to understand this complex area of research.Comment: 46 pages, 16 figures, Technical Repor

    Moving Towards Performance-Based Specifications in Public Procurement

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    There are environmental benefits associated with the procurement of services instead of, or in addition to, discrete products. Under the right conditions, transitioning to a more service-intensive purchasing model can reduce natural resource consumption in the production, use and disposal phases of product life cycles. Generally, financial savings can be realized too—even in the short term. In order for public procurers who purchase goods, services, buildings and infrastructure on a significant scale to take advantage of these potential savings and benefits, performancebased specifications are invaluable tools. Performance-based specifications allow public authorities to specify their needs in general terms by describing what general functions they require (e.g. lighting, mobility, information management) rather than specifying the minute details of the inputs and process required to get there. The private sector can then innovate and generate savings in resource use and in operating costs. Generally speaking, suppliers are better suited than public procurers to know what options are available in the market, or to innovate and commercialize towards new products and services in order to meet a required performance level. Performance-based specifications are thus a tool with which, under the right conditions, public procurers can stimulate markets to deliver innovative and environmentally sound solutions

    Next-generation optical access seamless Evolution: concluding results of the European FP7 project OASE

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    Increasing bandwidth demand drives the need for next-generation optical access (NGOA) networks that can meet future end-user service requirements. This paper gives an overview of NGOA solutions, the enabling optical access network technologies, architecture principles, and related economics and business models. NGOA requirements (including peak and sustainable data rate, reach, cost, node consolidation, and open access) are proposed, and the different solutions are compared against such requirements in different scenarios (in terms of population density and system migration). Unsurprisingly, it is found that different solutions are best suited for different scenarios. The conclusions drawn from such findings allow us to formulate recommendations in terms of technology, strategy, and policy. The paper is based on the main results of the European FP7 OASE Integrated Project that ran between January 1, 2010 and February 28, 2013
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