Dual Processor Performance Characterization for XML Application-Oriented Networking

Ding, J.J.; Waheed, Abdul

doi:10.1109/icpp.2007.36

Cited by 9 publications

(3 citation statements)

References 5 publications

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“…As expected these numbers do not change the number of cores. For all AON applications, BrMPR is less than 2%, which is consistent with our findings in Section 6.5.1 (also see [6]). In addition, BrMPR is larger for compute-intensive workloads (CBR and SV) compared to network I/O intensive workload (FR).…”

Section: Dual Quad-core Based Systemsupporting

confidence: 93%

Performance characterization of multi-thread and multi-core processors based XML application oriented networking systems

Ding

Waheed

Yao

et al. 2010

Journal of Parallel and Distributed Computing

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Section: Dual Quad-core Based Systemsupporting

confidence: 93%

Performance characterization of multi-thread and multi-core processors based XML application oriented networking systems

Ding

Waheed

Yao

et al. 2010

Journal of Parallel and Distributed Computing

Self Cite

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“…As Table 4 shows, XML parsing software throughput on a general-purpose processor ranges from 5 to 50 Mbytes per second, but enterprise software servers call for gigabit-per-second throughput rates. 9,10 To explore the different parsing models' hardware acceleration capabilities, it is necessary to understand their data structures.…”

Section: Hardware Acceleration Capabilitymentioning

confidence: 99%

XML Document Parsing: Operational and Performance Characteristics

Lam¹,

Ding

Liu³

2008

Computer

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Parsing is an expensive operation that can degrade XML processing performance. A survey of four representative XML parsing models-DOM, SAX, StAX, and VTD-reveals their suitability for different types of applications. Broadly used in database and networking applications, the Extensible Markup Language is the de facto standard for the interoperable document format. As XML becomes widespread, it is critical for application developers to understand the operational and performance characteristics of XML processing. As Figure 1 shows, XML processing occurs in four stages: parsing, access, modification, and serialization. Although parsing is the most expensive operation, 1 there are no detailed studies that compare the processing steps and associated overhead costs of different parsing models, tradeoffs in accessing and modifying parsed data, and XML-based applications' access and modification requirements.Figure 1 also illustrates the three-step parsing process. The first two steps, character conversion and lexical analysis, are usually invariant among different parsing models, while the third step, syntactic analysis, creates data representations based on the parsing model used.To help developers make sensible choices for their target applications, we compared the data representations of four representative parsing models: document object model (DOM; www.w3.org/DOM), simple API for XML (SAX; www.saxproject.org), streaming API for XML (StAX; http://jcp.org/ en/jsr/detail?id=173), and virtual token descriptor (VTD; http://vtd-xml. sourceforge.net). These data representations result in different operational and performance characteristics.XML-based database and networking applications have unique requirements with respect to access and modification of parsed data. Database

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“…The Cisco Application Oriented Networking (AON) system [1], [2], [3] is one of the most recent industrial implementations. It is an intelligent message routing system that provides application-level communication, visibility, and security.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Message Scheduling in Application Oriented Networking Systems

Yao¹,

Ding²,

Bhuyan³

2008

2008 IEEE International Conference on Communications

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Cisco Systems Application Oriented Networking (AON) product is an important network element towards building next generation service oriented Intelligent Information Network (IIN). AON processes application-level content and moves far beyond a conventional content-aware web switch. It creates a novel content delivery platform and allows more sophisticated load balancing schemes to be deployed in a switch among backend servers to reduce user-perceived response time. In this paper, we investigate different scheduling techniques for an AON system to maximize overall throughput and minimize latency per message for a heterogeneous server cluster consisting of different application servers. Based on a thorough evaluation of the three existing load balancing algorithms of AON, we propose a novel message type based service adaptive scheduling algorithm that makes AON more efficient and more intelligent. Systematic performance measurements, analyses, and comparisons are conducted to demonstrate the superiority of our intelligent message scheduling technique.

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Dual Processor Performance Characterization for XML Application-Oriented Networking

Cited by 9 publications

References 5 publications

Performance characterization of multi-thread and multi-core processors based XML application oriented networking systems

Performance characterization of multi-thread and multi-core processors based XML application oriented networking systems

XML Document Parsing: Operational and Performance Characteristics

Intelligent Message Scheduling in Application Oriented Networking Systems

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