Transparent QoS Support of Network Applications Using Netlets

Dharmalingam, K.; Collier, Martin

doi:10.1007/3-540-36086-7_19

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…We assume QoS support to non-QoS aware applications are provided by an active gateway node connecting the user to the Internet [10], such as node Q in Fig. 1.…”

Section: Application Level Supportmentioning

confidence: 99%

RSVP reservation gaps: problems and solutions

Dharmalingam

Kowalik

Collier

IEEE International Conference on Communications, 2003. ICC '03.

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Abstract-High-end networking applications such as ecommerce, multimedia, distributed data analysis and advanced collaborative environments feature demanding end-to-end quality of service (QoS) requirements. Due to the heterogeneity exhibited by the Internet, a route from source to destination for such a flow may not be available which is comprised exclusively of QoS supporting path segments. Hence the flow must traverse one or more non-QoS path segments referred to here as reservation gaps. In this paper we study the problem of reservation gaps and their impact on QoS and present a solution to address the deficiencies caused by such gaps, using an Active Network approach based on the mobile agent paradigm. Furthermore, to improve the reliability in path selection and to minimise the influence of reservation gaps along the path of a QoS flow, we propose two routing algorithms, the most reliable -shortest path (MR-S) algorithm and the shortest -most reliable path (S-MR) algorithm, that select paths with the minimum number of reservation gaps. The Active Network based solution we propose works autonomously and scales to large networks such as the Internet. We demonstrate the advantages of such a solution using simulations which compares operational characteristics of QoS flows when traversing non-managed and actively managed reservation gaps. We also demonstrate the benefits of employing a routing algorithm such as MR-S or S-MR that accounts for reservation gaps in place of conventional Shortest-Path routing algorithms.

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“…We assume QoS support to non-QoS aware applications are provided by an active gateway node connecting the user to the Internet [10], such as node Q in Fig. 1.…”

Section: Application Level Supportmentioning

confidence: 99%

RSVP reservation gaps: problems and solutions

Dharmalingam

Kowalik

Collier

IEEE International Conference on Communications, 2003. ICC '03.

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“…The exact location and the number of director services present in a network is dictated by the location of the relevant communities of interest in the network. Note that the Netlets architecture has a wider set of applications than the problem of transparent server selection [14][15][16][17]. Hence, the justification for installing Netlet support at network nodes is not just to provide network services for server selection, but to host other mobile agent or active network based solutions.…”

Section: Solution Overviewmentioning

confidence: 99%

Transparent and scalable client-side server selection using Netlets

Dharmalingam

Collier

2003 IEEE Conference onOpen Architectures and Network Programming.

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Abstract-Replication of web content in the Internet has been found to improve service response time, performance and reliability offered by web services. When working with such distributed server systems, the location of servers with respect to client nodes is found to affect service response time perceived by clients in addition to server load conditions. This is due to the characteristics of the network path segments through which client requests get routed. Hence, a number of researchers have advocated making server selection decisions at the client-side of the network. In this paper, we present a transparent approach for clientside server selection in the Internet using Netlet services. Netlets are autonomous, nomadic mobile software components which persist and roam in the network independently, providing predefined network services. In this application, Netlet based services embedded with intelligence to support server selection are deployed by servers close to potential client communities to setup dynamic service decision points within the network. An anycast address is used to identify available distributed decision points in the network. Each service decision point transparently directs client requests to the best performing server based on its in-built intelligence supported by real-time measurements from probes sent by the Netlet to each server. It is shown that the resulting system provides a client-side server selection solution which is server-customisable, scalable and fault transparent.

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Mobile intelligent agent entity model towards QoS guarantee

Wang

Bian

2006

Front. Electr. Electron. Eng. China

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Implementing a flexible configuration of the QoS parameter in a distributed computing network has become a problem due to the weak scalability of current approaches. In an effort to solve this problem, an inner basic model of an intelligent agent (IA) is presented. The IA functionality was extended by introducing a primarily mobile agent. A QoS guarantee scheme was subsequently designed and implemented based on the model as well. By utilizing the proposed scheme, the IA can sense, predict and configure the data flow traffic. Since the communicating ability was considered and provided, the competition among different devices could be eliminated effectively and the global traffic can be optimized. The results of the simulations have shown that the proposed model can provide a QoS guarantee.

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Transparent QoS Support of Network Applications Using Netlets

Cited by 4 publications

References 7 publications

RSVP reservation gaps: problems and solutions

RSVP reservation gaps: problems and solutions

Transparent and scalable client-side server selection using Netlets

Mobile intelligent agent entity model towards QoS guarantee

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