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Car Park System: A Review of Smart Parking System and its Technology

Idris, M.Y.I., Leng, Y.Y., Tamil, E.M., Noor, N.M., Razak, Z.·2009·Information Technology Journal

Abstract

Service technology such as Web services has been one of the mainstream technologies in today’s software development. Distributed services may suffer from communication problems or contain faults themselves, and hence service consumers may experience service interruption. A solution is to create services which can tolerate faults so that failures can be made transparent to the consumers. Since there are many patterns of software fault tolerance available, we end up with a question of which pattern should be applied to a particular service. This paper attempts to recommend to service developers the patterns for fault tolerant services. A recommendation model is proposed based on characteristics of the service itself and of the service provision environment. Once a fault tolerance pattern is chosen, a fault tolerant version of the service can be created as a WS-BPEL service. A software tool is developed to assist in pattern recommendation and generation of the fault tolerant service version.

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Metadata

Authors
Idris, M. Y. I., Leng, Y. Y., Tamil, E. M., Noor, N. M., & Razak, Z.
Venue
Information Technology Journal
Publisher
Science Alert
Published
2009-02-01
Volume
8
Issue
2
Pages
101-113
ISSN
1812-5638 (ISSN-L)
OpenAlex
W2060854363
Cited by
204
References
0
FWCI
7.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Car Park System: A Review of Smart Parking System and its Technology. https://app.cochat.ai/papers/10.3923/itj.2009.101.113
The paper
Idris, M. Y. I., Leng, Y. Y., Tamil, E. M., Noor, N. M., & Razak, Z. (2009). Car Park System: A Review of Smart Parking System and its Technology. Information Technology Journal. https://doi.org/10.3923/itj.2009.101.113

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.