A Peer-to-Peer Model for XML Publish/Subscribe Services

Cao, Yang; Lung, Chung-Horng; Majumdar, Shikharesh

doi:10.1109/cnsr.2011.13

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…The cross-layer model, as presented in Figure 2, was proposed in Cao, Y. (2011) with an aim to reduce the aforementioned processing overhead or delay at each broker.…”

Section: Xml Pub/sub Broker Architecturementioning

confidence: 99%

A Cloud-Based XML Publish/Subscribe Service

Lung

Cao

Sanaullah

et al. 2015

STCC

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XML message filtering and routing have been recognized as a standard for data exchange for XML dissemination services. These services are often realized using the Publish/Subscribe (pub/sub) model which is commonly used for various web-based systems. The conventional XML filtering and forwarding technique is an application-layer multicast approach that relies on XML-capable brokers that are built above the network layer for message dissemination. Such an overlay model introduces a great deal of overhead in terms of initial deployment and subsequent operational cost for those XML-capable brokers that are typically supported by geographically distributed Internet Service Providers (ISPs). This paper proposes an approach to the deployment of the XML pub/sub systems over the cloud without the need of any special arrangements of physical brokers across the networks or ISPs). In addition, changes to the software deployed in the cloud can be made directly and easily by the XML pub/sub service provider. The paper describes experiments that use both Amazon and Google clouds for rapid XML pub/sub deployment. In addition, the paper presents a performance comparison between the conventional XML multicast model and the cross-layer model deployed over the cloud.

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“…The cross-layer model, as presented in Figure 2, was proposed in Cao, Y. (2011) with an aim to reduce the aforementioned processing overhead or delay at each broker.…”

Section: Xml Pub/sub Broker Architecturementioning

confidence: 99%

A Cloud-Based XML Publish/Subscribe Service

Lung

Cao

Sanaullah

et al. 2015

STCC

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this section, we present a set of experiments in order to quantify the performance of the various approaches ( m ulticast and peer model). Some prelim inary results for a small network are reported in [31,33]. This thesis describes the perform ance analysis for larger networks and considers more param eters and various additional values for these parameters.…”

Section: Perform Ance Resu Lts and Analysismentioning

confidence: 99%