Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Multi-disciplinary Studies | en_US |
| dc.creator | Wai, Kei-yip | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/3018 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Load distributing in a lan of workstations | en_US |
| dcterms.abstract | This dissertation focuses on the problem of distributing the workload of a system in a LAN of workstations so that the overall performance of the system is improved. Several issues on the load distributing are discussed. Various load distributing algorithms including sender-initiated, receiver-initiated, symmetrically-initiated, adaptive and non-adaptive approaches were evaluated. They were studied using simulation and their performance were compared. The simulation result showed that the symmetrically-initiated adaptive algorithm yields the best performance among the algorithms studied. The sender-initiated adaptive algorithm performs better than the non-adaptive algorithms. It also has the advantage of not requiring the transfer of partly-executed tasks, making the implementation simpler. A load distributing mechanism was implemented using the sender-initiated adaptive algorithm and run on an Etherent of Sun Microsystems SPARCstation 4 workstations. The implementation further demonstrated that load distributing mechanism offers substantial performance improvement over a system with no load distributing at all. | en_US |
| dcterms.extent | viii, 125 leaves : ill. ; 30 cm | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 1997 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Local area networks (Computer networks) | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b13987677.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 3.51 MB | Adobe PDF | View/Open |
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