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https://ptsldigital.ukm.my/jspui/handle/123456789/476494Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Ahmed Moosajee Patel, Prof. Dr. | |
| dc.contributor.author | Parnia Samimi (P53676) | |
| dc.date.accessioned | 2023-10-06T09:19:33Z | - |
| dc.date.available | 2023-10-06T09:19:33Z | - |
| dc.date.issued | 2012-07-30 | |
| dc.identifier.other | ukmvital:114375 | |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/476494 | - |
| dc.description | Users and providers have different requirements and objectives in a market. Users tend to pay the lowest price possible with certain guaranteed levels of service as a minimum and providers would like to follow the strategy of achieving the highest return on their investment. Designing an optimal market-based resource allocation and pricing model that considers both benefits for users and providers is a fundamental criterion of resource management in distributed systems, especially in cloud computing services. In this regard, different market-based resource allocation models have been proposed or used in other areas such as in grid computing, utility computing and software as a service. However, most of the existing market-based resource allocation and pricing models are biased, mostly favouring the provider over the user in an unregulated trading environment. Determining a fair price within the realms of new technology and offered services, which are rapidly changing not only in the deployment of the technology but also in the competition, is a critical challenge. A peculiar problem in an auction is the time-consuming and inefficient process of determining a winner since both sides bid not only by quoting a price, but also by other attributes such as quantity and quality of the services. In this thesis, these problems are addressed by proposing a new market-based resource allocation and pricing model based on the combinatorial double auction principle with the relevant attributes applicable in cloud computing environments to the benefit and satisfaction of both users and providers alike. The proposed model is modelled and implemented as a prototype using CloudSim, a Java based simulator for simulating cloud computing environments to test the proposed combinatorial double auction-based resource allocation and pricing models. The prototype design is illustrated using the Unified Modelling Language (UML) which includes a sequence diagram and a class diagram. The results proof that the combinatorial double auction-based resource allocation and pricing model significantly improves the economic efficiency.,“Certification of Master’s / Doctoral Thesis” is not available,Master of Information Technology,“Certification of Master’s/Doctoral Thesis” is not available | |
| dc.language.iso | eng | |
| dc.publisher | UKM, Bangi | |
| dc.relation | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
| dc.rights | UKM | |
| dc.subject | Cloud computing | |
| dc.subject | Resource allocation | |
| dc.subject | Universiti Kebangsaan Malaysia -- Dissertations | |
| dc.subject | Dissertations, Academic -- Malaysia | |
| dc.title | Market-based resource allocation and pricing model using combinatorial double auction for cloud computing resources | |
| dc.type | theses | |
| dc.format.pages | 127 | |
| dc.identifier.callno | QA76.585.S244 2012 3 tesis | |
| dc.identifier.barcode | 002268(2012) | |
| dc.identifier.barcode | 005619(2021)(PL2) | |
| Appears in Collections: | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_114375+SOURCE1+SOURCE1.0.PDF Restricted Access | 13.21 MB | Adobe PDF |  View/Open |
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