1. 10 -1  The Term Project demands in-depth research and investigated reporting. All reported contents, figures, and tables must be originally generated.  Ten topics are for students to choose from, different topics for multiple disjoint groups of students to work on.  You have only 1 month to report the work first through a proposal and then a complete written report at the end of the semester and present it.  The proposal which will become your report at the end should follow the IEEE Conference paper format of about 10 pages, including original figure illustrations and tabulations plus a reference listing of 10 - 15 papers. (Template link: http://www.ieee.org/conferences_events/conferences/publishing/templ ates.html) Introduction to Grid and Cloud Computing Term Project Specification:

2. 10 - 2 How to Write a Good Technical Paper on 10 pages ? 1. Title ( < 8 words) must hit the hot topic - short, clear and eye-catching, Authors and Affiliations (in 1-2 lines after the title) 2. Abstract (< 50 ~ 100 words) must state the research objectives, summarize the findings, and highlight the innovative contributions. 3. Introduction (including the title, abstract) on 1 page must motivate the readers to read the rest of the paper and prepare them with the necessary background 4. Problem Statement and Formulation (2 pages) of the problem being solved, basic assumptions, formulate the problem with technical specifications 5. Architecture, algorithms, solution methods, protocols, analytical results and illustrated example, etc. (2 pages) 6. Experimental setting (computer simulators, benchmarks, and datasets used (1 page) 7. Experimental Results in plotted figures or tabulations plus their interpretations and performance analysis ( 2 pages) 8. Related Work and Conclusions (1 page) 9. References – List of 15 relevant papers (1 page)

3. 10 -3 Topic Project Title Assignments 1 Use of XEN to create virtual machines, conduct some VM experiments and report performance measured 2 Exploring Amazon EC2, S3, or MapReduce, or virtual cluster, or private cloud for HPC scientific applications 3 Parallelization of a novel application idea using MPI or OpenMP, analyze the performance improvements. 4 Using Hadoop or node.js for a distributed Web Application 5 Integration of Globus Online by using CLI or REST API for an application that needs data transfer capabilities Candidate Project Topics :

4. 10 - 4 Candidate Project Topics : Topic No. Topic Title Assignment 6Stork – Globus Online Comparison through different metrics 7Application of a scientific problem with a workflow in Condor scheduler 8Development of a client/server application that does performance improvements on a high-performance data transfer protocol (GridFTP, UDT) 9MPI- Hadoop Comparison 10A survey on Parallel File System Comparison

5. 10 - 5 Topic 1: Use of XEN for virtual machine (VM) creation and resource management through some VM application experiments  You are asked to port the XEN hypervisor on a local computer or on your own notebook.  Create the Domain 0 (control VM) and some User Domains (VM applications) for some selected benchmarks  Collect the performance results. Discuss lessons learned from the XEN application experiments.

6. 10 - 6 Prof. Kai Hwang Suggested References for Topic 1: 1.M. Rosenblum, “Recent Advances in Virtual Machines and Operating Systems”, Keynote Address, ACM ASPLOS 2006 2.J. Smith and R. Nair, Virtual Machines: Versatile Platforms for Systems and Processes, Morgan Kaufmann, 2005 3.B. Sotomayor, R. Montero, and I. Foster, “Virtual Infrastructure Management in Private and Hybrid Clouds”, IEEE Internet Computing, Sept. 2009. 4.P. Barham, et al, “XEN and the Art of Virtualization”, Proc.of the 9th ACM Symp. on OS Principles (SOSP19), ACM Press, 2003 5.A. Menon, et al, “Diagnosing Performance Overheads in the XEN Virtual Machine Environment”, Proc. of the 1st Int’l Conf. on Virtual Execution Environments. 2005

7. 10 - 7 Topic 2: Exploring the use of Amazon EC2, S3, MapReduce, or virtual cluster, or private cloud in HPC scientific applications  This project requires to use available AWS virtual clusters (EC2, S3 instances), or the MapReduce Cluster, or the private cloud offered on the AWS platform. A cluster of 64 to 120 nodes are desired  You need to perform some benchmark experiments on these VM clusters. You need to measure the performance and analyze the performance attributes and identify performance bottlenecks.  Select some well-known high-performance scientific benchmark programs to carry out your experiments or write your own testing program such as for large-scale matrix multiplication

8. 10 - 8 Key References for Topic 2 : 1.K. Hwang, G. Fox and J. Dongarra, Distributed and Cloud Computing, Chapters 2, 4, 6, Morgan Kaufmann, Oct. 2011. 2.K. Hwang and Z. Xu: Scalable Parallel Computing, McGraw- Hill, Chapter 2 and 12, 1998 3.E. Walker, “Benchmarking Amazon EC2 for High-Performance Scientific Computing,” login, vol. 33, no. 5, pp. 18–23, 2008. 4.D. Kirk and W. Hwu, Programming Massively Parallel Processors: A Hands-on Approach, Morgan Kaufmann, 2010.

9. 10 - 9 Topic 3: Parallelization of a novel application idea using MPI or OpenMP, analyze the performance improvements  You are asked to find a computationally intensive application and parallelize it by using MPI or OpenMP.  Conduct a thorough performance analysis test using multiple machines (multi core computer in absence of multiple machines)  Test your code by running it on an SMP(A single computer with mult- cores) and DSM(Multiple computers connected via LAN) environment  Prepare different test case by differentiating machine architecture, problem size, etc.

10. 10 - 10 Topic 4: Using Hadoop or node.js for a distributed Web Application  Design a web application that serves thousands of users  Each user asks for a computationally intensive service.  Distribute the load of the service given by the application to multiple machines at the back end by using technologies like Hadoop or node.js.  Analyze the performance of your application with the increasing number of users

11. 10 - 11 Topic 5: Integration of Globus Online by using CLI or REST API for an application that needs data transfer capabilities  You are asked to design or use an existing application that needs transfer capabilities  Your application will integrate Globus Online as the data transfer capability and provide monitoring of the jobs as well.  The CLI could be used in a complex job that needs data transfers between nodes before starting execution  The REST API could be used for any type of application.

12. 10 - 12 Topic 6: Stork – Globus Online Comparison through different metrics  You are asked to install two GridFTP servers in two machines and integrate these with Globus Online  Then install the Stork scheduler in one of the machines  Design data transfer test cases and make a full comparison of the two tools.  Some of the performance metrics could be dataset characteristics, ease of use(Stork doesnot have an interface so compare it with GO CLI), individual transfer speed, throughput.  Use Stork features like concurrent transfers, optimization.

13. 10 - 13 Topic 7: Application of a scientific problem with a workflow in Condor scheduler  Find a scientific problem that requires complex computational and data transfer needs.  Design a workflow for the solution of the problem  Apply the workflow by using the Condor scheduler

14. 10 - 14 Topic 8: Development of a client/server application that does performance improvements on a high-performance data transfer protocol (GridFTP, UDT)  By using GridFTP or UDT APIs, design a client/server model that does optimization to the data transfers  Ex: For UDT: Use the same connection for multiple file transfers, apply a threaded server/client model to do concurrent file transfers for multiple sockets  Ex: For GridFTP: Use the java or C APIs to dynamically change the parallel stream numbers or concorrency numbers for a directory transfer  Test your implementation to see any improvements.

15. 10 - 15 Topic 9: MPI-Hadoop Comparison  Find an application of algorithm that can be parallelized but does not need any communications in between the parallel processes  Implement it using Hadoop and MPI  Compare their performances

16. 10 - 16 Topic 10: A survey Report on Parallel and Distributed File Systems  You are asked to write an extensive report on popular currently available parallel and distributed file systems (GPFS, Lustre, HDFS, PVFS, WheelFS, GFS, AFS)  Research performance comparison metrics for these file system  Open source file systems could be installed and by using performance benchmarking tools, conduct test cases where you measure the read/write speeds  Write a paper presenting a multdimensional comparison study and provide test case results with selected sample file systems