High-performance distributed computing in FDDI networks

Strohl, Mary Jane

doi:10.1364/ofc.1991.tui1

Cited by 2 publications

(3 citation statements)

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“…The difference between the constant TTRT and the TifF timer represents the amount of asynchronous transmission time allocation remaining for this station for this rotation of the token. Further details of the timing calculations used in the FDDI protocol are are well described in literature [8,9]. FDDI is now widely accepted for high performance LANs and interconnecting LANs via backbone.…”

Section: Fddi Protocolmentioning

confidence: 99%

<title>Performance of high-speed data bus protocols for satellite application</title>

Kota

Kallaus

1993

SPIE Proceedings

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For advanced fault tolerant satellite systems new data bus architectures and media access protocols have to be developed to distribute common processing elements and functions among all subsystems. Different architectures with differing access protocols and topologies have to be traded to arrive at an optimum bus architecture for Satellite High Speed data transfer applications. In this paper, we discuss a High Speed Data Bus (HSDB) architecture and evaluate Media Access Control (MAC) protocols. We simulated Fiber Distributed Data Inierface (FDDI) and Reservation Access Protocols applicable to HSDB. Performance Metric including throughput, delay, queue length and station latency are considered. We proposed a deferred priority protocol and compared throughput-delay performance with preemptive priority and normal priority protocols for FDDI.

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Section: Fddi Protocolmentioning

confidence: 99%

<title>Performance of high-speed data bus protocols for satellite application</title>

Kota

Kallaus

1993

SPIE Proceedings

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“…Distributed applications running on such an environment are typically divided into client programs and application servers [2]. Client programs In the design approach presented in this paper, the expert system is designed to operate in the background in cooperation with the distributed operating system.…”

Section: Design Approachmentioning

confidence: 99%

“…In the client-server model, the user funchion (client function) is built baaed on the services provided by several Application Servers (AS). For example, an engineering client program needs the services provided by several file servera and compute servers [2].…”

Section: Introductionmentioning

confidence: 99%

An expert system for performance management

Parashar

Hariri

Jabbour

[1992] Proceedings of the 35th Midwest Symposium on Circuits and Systems

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The rapid growth in size and complexiiy of distributed systems and ihe use of heterogeneous compoitents require effective tools to manage their resources. Expert system technology possesses the potential to manage such large and complet systems based on heuristic knowledge an near real time. This paper presents a general approach to designing an expert system for the management of Performance of a distributed function which is built based on the services provided by several application servers distributed across the network. Furthermore, the expert system re-allocates the application servers so that all the clients (who are running the same distributedfunction from different sites) will experience similar function response times. The presented expert system design has the following components: resource monitor, performance optimizer, and the Management Information Base (MIB).

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High-performance distributed computing in FDDI networks

Cited by 2 publications

References 0 publications

<title>Performance of high-speed data bus protocols for satellite application</title>

<title>Performance of high-speed data bus protocols for satellite application</title>

An expert system for performance management

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