A recovery algorithm for reliable multicasting in reliable networks

Zhang, D.; Ray, Sid; Kannan, Rajgopal; Iyengar, S.

doi:10.1109/icpp.2003.1240614

Cited by 6 publications

(4 citation statements)

References 26 publications

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“…Since as the number of senders will start the communication, simultaneously, then a dilemma will occur about, who will be the root of that hierarchy. [2] Best Path:…”

Section: Discussionmentioning

confidence: 99%

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Implementation of Model “RSM2”A Reliable and Scalable Multicast Model

Gupta¹

2013

IOSR-JCE

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“…Since as the number of senders will start the communication, simultaneously, then a dilemma will occur about, who will be the root of that hierarchy. [2] Best Path:…”

Section: Discussionmentioning

confidence: 99%

“…Recovery requests are sent to the recovery clients on the list one-byone until the recovery effort is successful. There are many recovery strategies available in literature fitting the generic description [2].…”

Section: A Various Approaches To Reliable Multicastingmentioning

confidence: 99%

Implementation of Model “RSM2”A Reliable and Scalable Multicast Model

Gupta¹

2013

IOSR-JCE

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“…The efforts to improve reliability are the important issues not only for the double-layered system, but also for other multicasting-based systems in [4], [5], and [6]. In this paper, we introduce two schemes to improve the reliability when super peers turned off or disappeared in the double-layered P2P system.…”

Section: Reliability Schemesmentioning

confidence: 99%

Reliability Schemes for P2P Systems in Dynamic Mobile Environments

Kim

Song

Kim

et al. 2008

International Symposium on Computer Science and Its Applications

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In the double-layered mobile Peer-to-Peer (P2P) systems, peers are classified into two types, super peers and sub-peers; a super peer manages its subpeers. The communications are done mostly among super peers to reduce the network traffic in searching files. In mobile networks, reliability that guarantees communications among peers is one of the crucial factors. However, most of the previous P2P systems are evaluated under the 'static' mobile P2P environment where the number of peers is fixed and there are no dynamic joins and leaves. In this environment, performances cannot be evaluated correctly.In this paper, we propose two schemes, the avoidance scheme and the role changing scheme, to improve the reliability of a system in the dynamic mobile P2P environment. The experimental results show that the proposed schemes improve the communication failure rates by 3% and 5% over the system without them, respectively.

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“…An algorithm for computing low-latency recovery strategy in a reliable network was proposed by (Zhang, Ray, Kannan, & Iyengar, 2003).…”

Section: Review Of Literaturementioning

confidence: 99%

Maximizing the Flow Reliability in Cellular IP Network Using PSO

Anbar

Vidyarthi

2011

International Journal of Interdisciplinary Telecommunications and Networking

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A Cellular IP (CIP) network involves a bulk of data transmission. It is highly reliable and guarantees the safe delivery of the packets required in such systems. Reliable traffic performance leads to efficient and reliable connectivity in Cellular IP network. CIP network, which consists of mobile hosts, base stations, and links, are often vulnerable and prone to failure. During the routing operation in the network, the base station, which works as router for the transmitted packets, may fail to perform. Reliable transmission is desirable, in terms of services of the base stations in the network, reliable routing, and processing the data. In this paper, the authors design a reliability model to increase the reliability of a flow, consisting of packets, passing through routers in a Cellular IP network. Particle Swarm Optimization (PSO) is able to solve a class of complex optimization problems. PSO is used to improve the reliability of the flow in CIP network. The proposed model studies the effects of packet processing rate (), packet arrival rate (), and the number of packets per flow on the reliability of the system. A simulation experiment is conducted and results reveal the effectiveness of the model.

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A recovery algorithm for reliable multicasting in reliable networks

Cited by 6 publications

References 26 publications

Implementation of Model “RSM2”A Reliable and Scalable Multicast Model

Implementation of Model “RSM2”A Reliable and Scalable Multicast Model

Reliability Schemes for P2P Systems in Dynamic Mobile Environments

Maximizing the Flow Reliability in Cellular IP Network Using PSO

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