1. Cloud-based movie search web application with transaction service Group 14 Yuanfan Zhang Ji Zhang Zhuomeng Li

2. School of Electronic Engineering and Computer Science Outline  Motivation  Goals  System design Micro-Scope & Macro-Scope  Results and contribution 2

3. School of Electronic Engineering and Computer Science Motivation  With the increasing demand for the capacity of the web servers, load balancing will be a crucial part in managing work load on each server to reduce traffic congestion and avoid break-down failure.  In order to make the web servers to serve our Movie Online Search and Sale Website with high reliability and QoS satisfaction, we were inspired by a paper called ‘Dynamic Load Balancing on Web Server Systems’.  It involves various of TTL algorithms and descriptions for multiple loading request approaches with throughput and availability improvement.  Thus, we aim to select one appropriate load balancer from the paper to assist our original Movie E-commerce Web App in loading, scheduling and distributing requests to different servers with availability and performance enhancement.

4. School of Electronic Engineering and Computer Science Goals  1. Basically build a Movie Search & Sale Web App by use one instance in AWS EC2 cloud at first.  2. Survey on various of loading request approaches and file replication research, analyze them in current specific scenario, and select an appropriate one with simple but efficient consistency scheme.  3. Scale up web servers as multiple instances and incorporate with specific load balancer selected.  4. Evaluate by using Jmeter. And verified as performance improved.

5. School of Electronic Engineering and Computer Science System design (Micro-scope)  User Case Diagram for Web Application 5

6. School of Electronic Engineering and Computer Science Implementation result 6

7. School of Electronic Engineering and Computer Science System design (Macro-scope)  Architecture as a distributed system 7

8. School of Electronic Engineering and Computer Science Performance analysis 8 Single-instance CasesScaled-version Cases 1 Thread 10 Threads

9. School of Electronic Engineering and Computer Science Case 1: HTTP/ 1 Thread Case 2: HTTP/ 10 Threads Query Time Search Servlet Time JDBC Time 97 ms 140 ms 3.07 ms3.3 ms 2.04 ms1.37 ms Single-instance Cases

10. School of Electronic Engineering and Computer Science Case 1: HTTP/ 1 Thread Case 2: HTTP/ 10 Threads Query Time Search Servlet Time JDBC Time 146 ms135 ms 1.34 ms2.0 ms 0.49 ms0.82 ms Scaled-version Cases

11. School of Electronic Engineering and Computer Science 11 1 Thread Case 10 Threads Case

12. School of Electronic Engineering and Computer Science References  Dynamic Load Balancing on Web-Server systems, By Valeria Cardellini, Philip S. Yu  Web-server workload characterization: the search for invariants, By M.F. Artlitt  Enhancing the Web infrastructure: from caching to replication, By M. Baetchsch  Cluster-Based File Replication in Large-Scale Distributed Systems  The google file system, By Sanjay Ghamawat, Shuntak Leung 12