CMSC858F: Network Design Foundation, Fall 2011
Instructor: Mohammad T. HajiAghayi
Latest Announcements and Assignments (Last updated 12/08/11)
·
Solution 3 to Assignment 3
· Assignment 3: Due 11/22/11 at 5pm (see instructions for
submission inside the assignment)
·
Solution 2 to Assignment 2
·
Assignment 2: Due 11/2/11 before the class (see
instructions for submission inside the assignment)
·
Solution 1 to Assignment 1
·
Assignment 1: Due
10/12/11 before the class (see instructions for submission inside the
assignment)
·
Please
notice the new times and locations from September 14, 2011
·
See the course agenda
·
First
lecture on August 31, 2011.
· Templates
.tex .sty to scribe.
Course Description
Network Design or more generally
networking with its many variants is one of the most active research areas in
computer science involving researchers from System, Networks, Algorithm Design,
Graph Theory, Discrete Optimization, Game Theory and Information Theory.
Especially mathematical modeling of networks plays a vital role in the
understanding of computer and communication networks and provides insights into
questions such as allocation of network
resources, analysis and effects of competitive and/or cooperative agents,
Internet protocols, wireless network protocols, network dynamics, queuing
systems, performance optimization, and network traffic and topology. These
models shed light onto fundamental performance limits and tradeoffs in
practical scenarios. In addition, new problems in this area are constantly
propounded by practitioners working in various aspects of network design such
as construction, routing and staged deployment. Furthermore, many new design
paradigms such as ATM, Ad hoc and Wireless networking add rich new flavors to
existing problems. On the other hand, many of the key algorithmic challenges in
the context of the internet, the largest
network in the world, require considering the objectives and interests of
the different participants involved.
These include problems ranging from pricing goods and resources, to
improving search, to routing, and more generally to understanding how
incentives of participants can be harnessed to improve the behavior of the
overall system. As a result, Mechanism Design and Algorithmic Game Theory,
which can be viewed as ``incentiveaware algorithm design'', have become an
increasingly important part of network design in recent years.
We focus on active area of applications of algorithms in networking to understand current trends, identify understudied areas, and potentially formulate new directions for further investigation. Below I highlight some of the main selection of topics and their corresponding references that we will cover in this course (we may add more references later to this list).
Reference Books:
Approximation
Algorithms, by Vazirani, Springer, 2001
Algorithmic Game
Theory, edited by Nisan, Roughgarden, Tardos, and Vazirani, Cambridge
University Press, 2007.
Slides and notes from ``Approximation Algorithms: The Last Decade and the Next Workshop, June 2011''
Notes from the webpage of a similar course
taught by the same instructor
Detailed Schedule (see the references below):
8/31/11: Review of course
description, review of different approximation algorithms for set cover.
My scanned handwritten
notes
Scribe notes
by students
09/07/11: Submodular
cover, submodular tree coverage and maximum coverage with budget.
My scanned handwritten
notes
Scribe notes
by students
09/14/11: Continuing maximum coverage,
unique coverage, and applications to wireless networks.
My scanned handwritten
notes:
Scribe notes
by students
09/19/11: Buyatbulk network design
and a brief overview of the best prizecollecting Steiner tree algorithm.
09/21/11: Review of probabilistic embedding into trees for
connectivity problems: definitions and applications.
My scanned handwritten
notes
Scribe notes by students
09/23/11: Guest
Lecture by Jaroslaw Byrka: Iterative randomized rounding for Steiner tree
09/28/11: Review of BartalFRT proof for probabilistic embedding into trees, also another application of this
technique for network design
My scanned handwritten
notes
Scribe notes by students
10/05/11: Guest Lecture by Marek Cygan: Review of algorithms for group Steiner tree, kcenter and kmedian
Scribe notes by students
10/12/11: Review of oblivious routing algorithms
Scanned handwritten notes
Scribe notes by students
10/19/11: Probabilistic embedding into trees for cut problems: Racke from FRT
Scanned handwritten notes
Scribe notes by students
10/26/11: Review of primaldual algorithms for Steiner tree and Steiner forest, Prizecollecting versions, kMST
Scanned handwritten notes
Scribe notes by students
11/02/11: Review of algorithms for facility location and connected facility location (singlesink rentorbuy network design)
Scanned handwritten notes
Scribe notes by students
11/09/11: Approximation algorithms for planar networks
09/23/11: Guest Lecture by R. Ravi: Iterative methods in
combinatorial optimizations
11/16/11: Exam
11/23/11: Thanksgiving Holiday
11/30/11: Paper and project presentations by students.
Graph Balancing Slides Scribe notes
On (In)Tractability of Movement Problems Slides Scribe notes
12/07/11:
Paper and project presentations by students (the last day of the class).
Clearing Paths with Minimum Movement Slides Scribe notes
Vehicle Routing With TimeWindows Slides Scribe notes
Tentative Course Topics and
References:
Set cover, maximum coverage and unique coverage:
Above book Approximation Algorithms, by Vazirani, 2001.
The Budgeted Maximum Coverage Problem, Samir Khuller, Anna Moss, Joseph (Seffi) Naor, Information Processing Letters, 1997.
E.D.
Demaine, U. Feige, M.T. Hajiaghayi; M.R. Salavatipour; Combination can be hard: approximability of the unique coverage problem, SIAM Journal
on Computing. A preliminary version appeared in the 17th Annual ACMSIAM
Symposium on Discrete Algorithms (SODA), Vancouver,
Technique of probabilistic embedding into trees:
Yair Bartal: Probabilistic Approximations of Metric Spaces and Its AlgorithmicApplications . FOCS 1996: 184193
Jittat Fakcheroenphol, Kunal Talwar and Satish Rao, A tight bound on approximating arbitrary metrics by tree metrics
STOC 2003, J. Comput. Syst. Sci. 69(3): 485497 (2004).
Michael Elkin, Yuval Emek, Daniel Spielman and ShangHua Teng, LowerStretch Spanning Trees, 37th ACM Symposium on Theory of Computing, 2005.
Planar Networks:
Brenda S. Baker, Approximation Algorithms for NPComplete Problems on Planar Graphs. J. ACM 41(1): 153180. (1994)
E.D. Demaine; M.T. Hajiaghayi; K Kawarabayashi; Algorithmic Graph Minor Theory: Decomposition, Approximation, and Coloring, In Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS), Pittsburgh, PA, October 2325, 2005, pp. 637646.
Philip N. Klein, A lineartime approximation scheme for TSP for planar weighted graphs, Proceedings, 46th IEEE Symposium on Foundations of Computer Science (2005), pp. 647656.
E.D. Demaine; M.T. Hajiaghayi; The Bidimensionality Theory and Its Algorithmic Applications,
A servey in Computer Journal, To appear.
Oblivious routing:
Harald Rδcke. Minimizing Congestion in General Networks. In Proc. of the 43rd FOCS, pp. 4352, 2002.
Harrelson, Hildrum, and Rao, A polynomialtime tree decomposition to minimize congestion. SPAA 2003.
Yossi Azar, Edith Cohen, Amos Fiat, Haim Kaplan, and Harald Rδcke. Optimal Oblivious Routing in Polynomial Time. In Proc. of the 35th STOC, pp. 383388, 2003.
A. Gupta; M.T. Hajiaghayi; H. Raecke; Oblivious Network Design, In Proceedings of the 17th Annual ACMSIAM Symposium on Discrete Algorithms (SODA), Vancouver, Miami, Florida, January 2224, 2006, pp. 970979.
Cost sharing:
Anupam Gupta, Amit Kumar, Tim Roughgarden, Simpler and better approximation algorithms for network design. STOC 2003: 365372
Anupam Gupta, Amit Kumar, Martin Pαl and Tim Roughgarden Approximation Via CostSharing: A Simple Approximation Algorithm for the Multicommodity RentorBuy Problem. J. ACM, 54(3), March 2007
Jain and Mahdian, Cost Sharing, in Algorithmic Game Theory book above.
Buyatbulk network design:
Adam Meyerson, Kamesh Munagala, and Serge Plotkin: CostDistance: TwoMetric Network Design. IEEE Symposium on Foundations of Computer Science (FOCS) 2000.
Adam Meyerson. Online Facility Location. FOCS 2001.
Sudipto Guha, Adam Meyerson, and Kamesh Munagala: Hierarchical Placement and Network Design Problems. IEEE Symposium on Foundations of Computer Science (FOCS) 2000.
David B. Shmoys, Ιva Tardos, Karen Aardal: Approximation Algorithms for Facility Location Problems. STOC 1997: 265274
C. Chekuri; S. Khanna; S. Naor: A deterministic algorithm for the costdistance problem. SODA 2001: 232233.
C. Chekuri; M.T. Hajiaghayi; G. Kortsarz; M. R. Salavatipour: Approximation algorithms for nodeweighted buyatbulk networks, In Proceedings of the 18th Annual ACMSIAM Symposium on Discrete Algorithms (SODA), New Orleans, LA, January 79, 2007, pp. 12651274.
C. Chekuri; M.T. Hajiaghayi; G. Kortsarz; M. R. Salavatipour: Approximation algorithms for nonuniform buyatbulk network design problems In Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS), Berkeley, PA, October 2224, 2006, pp. 677686.
Price of anarchy and selfish routing:
T. Roughgarden, The Price of Anarchy Is Independent of the Network Topology, Journal of Computer and System Sciences, 67(2):341364, 2003. (Conference version in STOC 2002.)
E. Tardos, lecture notes from Cornell CS684.
J. R. Correa, N. E. Stier Moses, and A. S. Schulz, Selfish Routing in Capacitated Networks, Mathematics of Operations Research, 2004 (to appear).
J. R. Correa, N. E. Stier Moses, and A. S. Schulz, A geometric approach to the price of anarchy in nonatomic congestion games, Games and Economic of Behavior, to appear, 2008.
T. Roughgarden and E. Tardos, How Bad Is Selfish Routing?, Journal of the ACM, 49(2):236259, 2002.
Network creation and formation games:
E. Tardos and T. Wexler, Network Formation Games, in Algorithmic Game Theory book above.
Alex Fabrikant, Ankur Luthra, Elitza N. Maneva, Christos H. Papadimitriou, Scott Shenker: On a network creation game. PODC 2003: 347351.
E.D. Demaine; M.T. Hajiaghayi; H. Mahini; M. Zadimoghadam; The price of anarchy in network creation games, In Proceedings of the 26th Annual ACM Symposium on Principles of Distributed Computing (PODC), Portland, Oregon, August 2007, pages 292298.
Online mechanism design:
D. Parkes, Online Mechanisms, in Algorithmic Game Theory book above.
M.T. Hajiaghayi; R.D. Kleinberg; M. Mahdian; D.C. Parkes; Online Auctions with Reusable Goods, In Proceedings of the 6th ACM Conference on Electronic Commerce (EC), pp. 165174, Vancouver, Canada, June 58, 2005.
Hajiaghayi, M.T.; Kleinberg, R.; Parkes,
D.C.; Adaptive LimitedSupply Online
Auctions, Proc. ACM Conference on Electronic Commerce (EC),
pp. 7180, May 1720, 2004.
Profit maximization auctions:
Jason Hartline, Anna Karlin, Profit Maximization in Mechanism Design, in Algorithmic Game Theory book above.
Andrew Goldberg, Jason Hartline, Anna Karlin, Mike Saks, and Andrew Wright, Competitive Auctions, Games and Economic Behavior, 2006.
Venkatesan Guruswami, Jason D. Hartline, Anna R. Karlin, David Kempe, Claire Kenyon, Frank McSherry: On profitmaximizing envyfree pricing, SODA 2005: 11641173.
Wireless network design:
M.T.
Hajiaghayi; N. Immorlica;
V.S. Mirrokni; Power Optimization in
FaultTolerant Topology Control Algorithms for Wireless Multihop Networks, IEEE/ACM
Transactions on Networking. To appear. A preliminary
version appeared in the Ninth Annual International Conference on Mobile
Computing and Networking (MOBICOM),
M.T. Hajiahgayi; G. Kortsarz; V. S. Mirrokni; Z. Nutov; Power Optimization for Connectivity Problems, A Mathematical Programming, Series B for selected papers from IPCO 2005. Vol 110, No 1, pp. 195208, 2007.
Goemans, Li, Mirrokni and Thottan, Market Sharing games applied to Content Distribution in AdHoc Networks , MobiHoc 2004.
J.L. Bredin; E.D. Demaine; M.T. Hajiaghayi; D. Rus; Deploying Sensor Nets with Guaranteed Capacity and Fault Tolerance, In Proceedings of the 6th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), UrbanaChampaign, IL, May 2005, pp. 309319.
Prerequisites
A basic course in algorithms is required. Already passing an advanced course in algorithms or networking can be quite helpful. If you are unsure of whether you have sufficient background for this course or not, please contact the instructor in the first week of the class or before.
Tentative Grading &
Evaluation
Each student will be expected to scribe 12 lectures (10%) and participate in class discussions (10%). There will be three homeworks (5% each), one exam (20%), a paper presentation in the class (15%) and a (possibly collaborative) project and its brief presentation in the class (30%). A very strong project can potentially compensate the low grades in other parts. Details about the project and ideas will be given in the second week of the class, though the general ideas can be seen from the course topics.
Other Resources (from here)
Tips for good technical writing
The elements of style by William Strunk Jr. and E. B. White (follow the "External links" at the bottom of this page for online copies of this book).
Writing a technical paper, by Professor Michael Ernst.
Tips for writing technical papers, by Professor Jennifer Widom.
Writing suggestions, by Professor Barton Miller.
How to write a dissertation, by Professor Douglas Comer (most of the content on this page applies to all forms of technical writing).
Tips for effective
presentation
Giving a technical talk, by Professor Michael Ernst.
Tips for a good conference talk, by Professor Jennifer Widom.
Oral presentation advice, by Professor Mark Hill.
General Information
Instructor:


Time and Location: 
Wednesdays from 1pm to 1:55pm at A.V. Williams 3258
and Wednesdays from 4pm5:35pm at CSI 3118 
Office hours: 
By appointment via email OR the hour immediately
following class. 
Office: 
3249 A.V. Williams 
Phone: 
3014052741 
Email: 
The first 8 letters of instructors last name
(AT) cs (DOT) umd
(DOT) edu 
TA: 
None 