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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. www.cs.rmit.edu.au/eCDS. Presentation Layouts. Introduction & Background
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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 www.cs.rmit.edu.au/eCDS
Presentation Layouts • Introduction &Background • Significance • Project Focus • Methodology • Conclusions & Future Work RMIT University www.cs.rmit.edu.au/eCDS
Congestion & Bottlenecks 1. Introduction &Background • Popular web services often suffer Figure 1: Flash Crowds RMIT University www.cs.rmit.edu.au/eCDS
Suggested Solution √ Mirrored Web Servers Figure 2: Mirrored Web Servers Problem (Survive) (Congestion) Figure 3: example: on-line travel agent service RMIT University www.cs.rmit.edu.au/eCDS
Figure 4: A Cooperative and Coordinated Geographically Distributed Web Servers. RMIT University www.cs.rmit.edu.au/eCDS
2. Significance • 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 RMIT University 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 RMIT University www.cs.rmit.edu.au/eCDS
4. Methodology • 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. RMIT University 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. RMIT University 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. RMIT University www.cs.rmit.edu.au/eCDS
Thank you very much for your attention RMIT University www.cs.rmit.edu.au/eCDS