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Real-time database experiences in network management application

Author: Yoshiaki Kiriha; Stanford University. Computer Science Department.
Publisher: Stanford, Calif. : Stanford University, Dept. of Computer Science, [1995]
Series: Report (Stanford University. Computer Science Department), STAN- CS-TR-95-1555.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
Abstract: "This report discusses on [sic] our experiences with real-time databases in the context of a network management system, in particular a MIB (Management Information Base) implementation. We propose an active and real-time MIB (ART-MIB) architecture that utilizes a real- time database system. The ART-MIB contains a variety of modules, such as transaction manager, task manager, and resource manager. Among the  Read more...
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Document Type: Book
All Authors / Contributors: Yoshiaki Kiriha; Stanford University. Computer Science Department.
OCLC Number: 34426886
Notes: "August 30, 1995."
Description: 61 pages : illustrations ; 28 cm.
Series Title: Report (Stanford University. Computer Science Department), STAN- CS-TR-95-1555.
Responsibility: Yoshiaki Kiriha.

Abstract:

Abstract: "This report discusses on [sic] our experiences with real-time databases in the context of a network management system, in particular a MIB (Management Information Base) implementation. We propose an active and real-time MIB (ART-MIB) architecture that utilizes a real- time database system. The ART-MIB contains a variety of modules, such as transaction manager, task manager, and resource manager. Among the functionalities provided by ART-MIB, we focus on transaction scheduling within a memory based real-time database system. For the developed ART-MIB prototype, we have evaluated two typical real-time transaction scheduling algorithms: earliest deadline first (EDF) and highest value first (HVF). The main results of our performance comparison show that EDF outperforms HVF under a low load; however, HVF outperforms EDF in an overload situation. Furthermore, the fact that the performance crossover point closely depends on the magnitude of the scheduler queue, has been validated."

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