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Performance Evaluation

Performance Evaluation. When: Wed. 1:20am~4:20pm Where: Room 107 Instructor: 周承復 Office hours: by appointment www.csie.ntu.edu.tw/~ccf E-mail: ccf@csie.ntu.edu.tw TBD. Reading Reference. Reference books: Queueing systems (vol. I & II): Kleinrock

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Performance Evaluation

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  1. Performance Evaluation • When: Wed.1:20am~4:20pm • Where: Room 107 • Instructor: 周承復 • Office hours: by appointment • www.csie.ntu.edu.tw/~ccf • E-mail: ccf@csie.ntu.edu.tw • TBD

  2. Reading Reference • Reference books: • Queueing systems (vol. I & II): Kleinrock • Analytical Performance Modeling for Computer Systems: Y.C. Tay • Prob., Stochastic process., and Queueing Theory: Randy Nelson. • Combinatorial Optimization: Algorithms and Complexity: Christos. H. Papadimitriou and Kenneth Steiglitz • Paper reading & presentation

  3. Grading • Hw & Paper presentation : 35% • class attendance (participation): 5-10% • Midterm (1 or 2 times): 20-25% • Term projects: 35-40% (1-2 members)

  4. Grading • 1st programming project: • Discrete Time Event Simulator (in c, c++) • Term project

  5. Objective • An intro. to techniques and tools • Construct and analyze a model (or by simulations) for computer and communication systems designs. • Example • Internet, wireless communication, operating system, parallel and distributed system, database system, programming languages….

  6. Objective • paper reading • Server: Hardware Architecture, Operating Systems • Network • Database Management • Term Project • Analytic model • Simulation (or Emulation) • Measurement (or Implementation)

  7. Outline • Introduction • Probability review • Discrete Time Event Simulator • Stochastic Processes • Elementary queueing theory • M/G/1 • M/G/1 variants and Priority Queue • Intermediate queueing theory • Bounding techniques • Matrix Geometric solutions

  8. Outline (cont.) • Average Value and Fluid approximation • Open and close system • equilibrium decomposition • bottleneck analysis • flow equivalence • Linear Programming (ILP, or Non-Linear Programming)

  9. What is the course used for ?

  10. TCP Model • J. Padhye, V. Firoiu, D. Towsley, and J. Kurose. Modeling TCP throughput: a simple model and its empirical validation. In Proc. SIGCOMM, 303–314, September 1998. • Renewal theory, prob. Based approach

  11. TCP Model • Vishal Misra, Wei-Bo Gong, and Don Towsley, Stochastic Differential Equation Modeling and Analysis of TCP-Window size Behavior, ACM SIGMETRICS 1999. • Fluid models, Stochastic differential equation

  12. BitTorrent • D. Qiu and R. Srikant. Modeling and performance analysis of BitTorrent-like peer-to-peer networks. In Proc. SIGCOMM, 367–378, 2004.

  13. 802.11 • Giuseppe Bianchi, Performance Analysis of the IEEE 802.11 Distributed Coordination Function, Selected Areas in Communications, IEEE Journal on, Vol. 18, No. 3. (March 2000), pp. 535-547, • DTMC based approach

  14. PCS • Yi-Bing Lin, Seshadri Mohan, Anthony Noerpel, Queueing Priority Channel Assignment Strategies for PCS Hand-Off and Initial Access,In Vehicular Technology, IEEE Transactions on, Vol. 43, No. 3. (1994), pp.

  15. P2P streaming • Yipeng Zhou, Dah Ming Chiu, John C.S. Lui, A Simple Model for Analyzing P2P Streaming Protocols, IEEE International Conference on Network Protocols (19 October 2007), pp. 226-235

  16. Distributed Protocols • I. Gupta. On the design of distributed protocols from differential equations. In Proc.ACM Symposium on Principles of Distributed Computing (PODC), 216–225, July 2004

  17. Database System • P.A.Bernstein,A.Fekete,H.Guo,R.Ramakrishnan,and P. Tamma, Relaxed currency serializability for middle-tier caching and replication. In Proc. ACM SIGMOD Int. Conf. Management of Data, 599–610, June 2006.

  18. Storage System • Q. Zhu, Z. Chen, L.Tan, Y. Zhou, K. Keeton, and J.Wilkes. Hibernator: helping disk arrays sleep through the winter. In Proc. ACMSymp. Operating Systems Principles (SOSP), 39(5):177–190, October 2005

  19. Topics for Next Week Course

  20. Probability Review • Probability • Conditional probability • Statistical independent • Theorem of total Probability • Bayes’ Theorem • Random Variable

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