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Www.cs.rmit.edu.au/eCDS Dynamic Task Assignment Load Index for Geographically Distributed Web Services PhD Research Proposal By: Dhiah Al-Shammary Supervised.

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Presentation on theme: "Www.cs.rmit.edu.au/eCDS Dynamic Task Assignment Load Index for Geographically Distributed Web Services PhD Research Proposal By: Dhiah Al-Shammary Supervised."— Presentation transcript:

1 www.cs.rmit.edu.au/eCDS Dynamic Task Assignment Load Index for Geographically Distributed Web Services PhD Research Proposal By: Dhiah Al-Shammary Supervised by: 1) Prof. Zahir Tari 2)Ass. Prof. Peter Bertok

2 RMIT UniversitySlide 2 www.cs.rmit.edu.au/eCDS Presentation Layouts 1.Introduction & Background 2.Significance 3.Project Focus 4.Methodology 5.Conclusions & Future Work

3 RMIT UniversitySlide 3 www.cs.rmit.edu.au/eCDS 1. Introduction & Background Popular web services often suffer Congestion & Bottlenecks Figure 1: Flash Crowds

4 RMIT UniversitySlide 4 www.cs.rmit.edu.au/eCDS Suggested Solution √ Mirrored Web Servers (Congestion) Figure 2: Mirrored Web Servers Problem (Survive) Figure 3: example: on-line travel agent service

5 RMIT UniversitySlide 5 www.cs.rmit.edu.au/eCDS Figure 4: A Cooperative and Coordinated Geographically Distributed Web Servers.

6 RMIT UniversitySlide 6 2. Significance www.cs.rmit.edu.au/eCDS Prevents systems from crashing * heavy traffic conditions (flash crowds) Improves response time The proposed system will develop improved geographically distributed web server technologies * efficient process of client request

7 RMIT UniversitySlide 7 www.cs.rmit.edu.au/eCDS 3. Project Focus To develop decentralised & cooperative CSDNs scale & deliver services to end-users in a timely and reliable manner. To produce new theoretical models analyse the complexity of network congestion problems deal with requirements (heavy-tailed service demands.) To produce a dynamic approach for estimating bandwidth and network latency

8 RMIT UniversitySlide 8 4. Methodology www.cs.rmit.edu.au/eCDS Activity 1. [Develop a test-bed for evaluation of load balancing strategies] (OMNET++) Activity 2. [Develop analytical models and compare with results from test-bed]. Results obtained from the test-bed will be used to refine the theoretical models for the proposed load balancing strategies. Activity 3. [Develop network parameter estimation strategies]. Parameter estimation strategies will be developed to obtain bandwidth and network latency estimations in CSDNs.

9 RMIT UniversitySlide 9 www.cs.rmit.edu.au/eCDS Activity 4. [Perform parameter tuning with the help of the test-bed]. Further optimisations will be performed by fine-tuning the parameters used by the proposed algorithms in the test-bed environment. Activity 5. [Implement and evaluate the proposed strategy in live environment]. The proposed algorithms and CSDN frameworks will be implemented in a modular fashion for integration with commercially available tools for Web management. Activity 6. [Writing Thesis] In this activity, the final thesis will be written in different progressive stages focusing on our contributions that have been done during the work of this project and provide a suitable comparison with other works that have been done by other researchers.

10 RMIT UniversitySlide 10 www.cs.rmit.edu.au/eCDS 5. Conclusions & Future Work 5.1 Conclusions Develop theoretical and computational models for co- operative resource sharing for heterogeneous and geographically distributed web servers. Propose a scalable based system to assist the creation of CSDNs (Content/Service Delivery Networks) that scale and support sharing of resources with other CSDNs. 5.2 Future Work Implement the proposed system in real time system make a comparison between the results that we will get from this system and the first one that we are working on now.

11 RMIT UniversitySlide 11 www.cs.rmit.edu.au/eCDS Thank you very much for your attention


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