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October 16, 2002 1 The Future of Broadband Wireless (and the role of “awareness” in wireless Internet performance) Carey Williamson iCORE Professor Department of Computer Science University of Calgary
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October 16, 2002 2 Introduction r It is an exciting time to be an Internet researcher (or even a user!) r The last 10 years of Internet development have brought many advances: m World Wide Web (WWW) m Media streaming applications m “Wi-Fi” wireless LANs m Mobile computing m E-Commerce, mobile commerce m Pervasive/ubiquitous computing
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October 16, 2002 3
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4 The Wireless Web r The emergence and convergence of these technologies enable the “wireless Web” m the wireless classroom m the wireless workplace m the wireless home r Holy grail: “anything, anytime, anywhere” access to information (when we want it, of course!) r My iCORE mandate: design, build, test, and evaluate wireless Web infrastructures
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October 16, 2002 5 Clarification “Wireless Communications” “Wireless Internet” = (the enabler) (the value-added service)
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October 16, 2002 6 Internet Protocol Stack r Application: supporting network applications and end-user services m FTP, SMTP, HTTP, DNS, NTP r Transport: end to end data transfer m TCP, UDP r Network: routing of datagrams from source to destination m IPv4, IPv6, BGP, RIP, routing protocols r Data Link: hop by hop frames, channel access, flow/error control m PPP, Ethernet, IEEE 802.11b r Physical: raw transmission of bits Application Transport Network Data Link Physical 001101011...
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October 16, 2002 7 Pieces of the Puzzle r Portable computing devices: no problem (cell phones, PDAs, notebooks, laptops…) r Wireless access: not much of a problem (BlueTooth, IEEE 802.11, 802.11b, “WiFi”, 802.11a, Pringles…) r Security: still an issue, but being addressed r Services: the next big growth area??? r Performance transparency: providing an end-user experience that is hopefully no worse than that in traditional wired Internet desktop environments (my focus)
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October 16, 2002 8 Research Theme r Existing layered Internet protocol stack does not lend itself well to providing optimal performance for diversity of service demands and environments r Who should bend: users or protocols? r Explore the role of “awareness” in Internet protocol performance r Identify tradeoffs, evaluate performance
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October 16, 2002 9 Talk Overview r Introduction r Background m Emerging Wireless Trends and Technologies m The Future of Broadband Wireless r The Role of “Awareness” m TCP 101 m Motivating Examples m Our Work on CATNIP r Concluding Remarks
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October 16, 2002 10 Brief History: Cellular/Wireless r First Generation (1G): analog (cellular voice, AMPS, RTMS, TACS, 1980’s) r Second Generation (2G): digital (IS-64, GSM, ISM-95, 8-32 kbps, 1990’s) r Third Generation (3G): broadband multimedia (always on, UMTS, 334 kbps-2 Mbps, 2000’s) 2.5G You are here
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October 16, 2002 11 Some Interesting Reading r Brave New Unwired World (BNUW), by Alex Lightman and William Rojas r In a nutshell, the authors argue that: m 2.5G is dead m 3G is a waste of time (and money) m 4G is EVERYTHING!!!
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October 16, 2002 12 Another Lightman Opinion r “the success of a technology in the marketplace is inversely proportional to the amount of hype associated with that technology prior to its release” Examples : ISDN BlueTooth 3G Examples : Internet, Web, napster, WiFi
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October 16, 2002 13 What is 4G then? r Culmination of wireless Internet revolution r Convergence of key emerging technologies: IP-based Networks Satellite Wireless Services Semiconductors Microprocessors WIDs New Interfaces Wearable Computers NanoTech Molecular Engineering Backhaul NWs RF elements Storage technology Image Generation Quantum Antenna Arrays GPS 802.11b
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October 16, 2002 14 Some Challenges/Opportunities r Ultra low-power processors: m pg 108: “could change the entire industry…” r Services: m pg 76: “extension of the Internet to mobile devices…whole new range of Internet services…personalized, location-sensitive content…previously impossible or impractical” r Awareness: m pg 221: “Location/context-aware applications… can determine and react to current physical computing context of mobile users… altering information presented to users accordingly”
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October 16, 2002 15 The Future? r Service-centric economy r Significant shifting of economic power r The “winner” is likely to be either Japan (iMODE, DoCoMo) or China (Internet growth, wireless growth) r Reasons: m cooperation, encouragement, support from government on a national scale m strategic alliances within and across industries
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October 16, 2002 16 Talk Overview r Introduction r Background m Emerging Wireless Trends and Technologies m The Future of Broadband Wireless r The Role of “Awareness” m TCP 101 m Motivating Examples m Our Work on CATNIP r Concluding Remarks
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October 16, 2002 17 My iCORE Research Team r Martin Arlitt: Web performance, workload characterization r Qian Wu: TCP, ns-2 simulation r Guangwei Bai: network traffic measurement and modeling r Tianbo Kuang: wireless measurements, video compression, streaming media r Nayden Markatchev: technical support r Grad Students: Mingwei Gong, Yujian Li, Kehinde Oladosu, Fang Xiao, Andreas Hirt, Abhinav Gupta, Gwen Houtzager Application Transport Network Data Link Physical
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October 16, 2002 18 Internet Protocol Stack r Application: supporting network applications and end-user services m FTP, SMTP, HTTP, DNS, NTP r Transport: end to end data transfer m TCP, UDP r Network: routing of datagrams from source to destination m IPv4, IPv6, BGP, RIP, routing protocols r Data Link: hop by hop frames, channel access, flow/error control m PPP, Ethernet, IEEE 802.11b r Physical: raw transmission of bits Application Transport Network Data Link Physical 001101011...
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October 16, 2002 19 Viewpoint r “Layered design is good; layered implementation is bad” -Anon. r Good: m unifying framework for describing protocols m modularity, black-boxes, “plug and play” functionality, well-defined interfaces (good SE) r Bad: m increases overhead (interface boundaries) m compromises performance (ignorance)
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October 16, 2002 20 Research Theme r Existing layered Internet protocol stack does not lend itself well to providing optimal performance for diversity of service demands and environments r Who should bend: users or protocols? r Explore the role of “awareness” in Internet protocol performance r Identify tradeoffs, evaluate performance
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October 16, 2002 21 Tutorial: TCP 101 r The Transmission Control Protocol (TCP) is the protocol that sends your data reliably r Used for email, Web, ftp, telnet, … r Makes sure that data is received correctly: right data, right order, exactly once r Detects and recovers from any problems that occur at the IP network layer r Mechanisms for reliable data transfer: sequence numbers, acknowledgements, timers, retransmissions, flow control...
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October 16, 2002 22 TCP 101 (Cont’d) r TCP is a connection-oriented protocol SYN SYN/ACK ACK GET URL YOUR DATA HERE FIN FIN/ACK ACK
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October 16, 2002 23 TCP 101 (Cont’d) r TCP slow-start and congestion avoidance ACK
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October 16, 2002 24 TCP 101 (Cont’d) r TCP slow-start and congestion avoidance ACK
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October 16, 2002 25 TCP 101 (Cont’d) r TCP slow-start and congestion avoidance ACK
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October 16, 2002 26 TCP 101 (Cont’d) r This (exponential growth) “slow start” process continues until either of the following happens: m packet loss: after a brief recovery phase, you enter a (linear growth) “congestion avoidance” phase based on slow-start threshold found m all done: terminate connection and go home
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October 16, 2002 27 Simple Observation r Consider a big file transfer download: m brief startup period to estimate network bandwidth; most time spent sending data at the “right rate”; small added penalty for lost packet(s) r Consider a typical Web document transfer: m median size about 6 KB, mean about 10 KB m most time is spent in startup period; as soon as you find out the network capacity, you’re done! m if you lose a packet or two, it hurts a lot!!!
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October 16, 2002 28 The Problem (Restated) r TCP doesn’t realize this dichotomy between optimizing throughput (the classic file transfer model) versus optimizing transfer time (the Web document download model) r Wouldn’t it be nice if it did? (i.e., how much data it was sending, and over what type of network) r Some research starting to explore this...
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October 16, 2002 29 Motivating Example #1 r Wireless TCP Performance Problems Wired Internet Wireless Access High capacity, low error rate Low capacity, high error rate
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October 16, 2002 30 Motivating Example #1 r Solution: “wireless-aware TCP” (I-TCP, ProxyTCP, Snoop-TCP,...)
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October 16, 2002 31 Motivating Example #2 r Multi-hop “ad hoc” networking Carey Janelle
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October 16, 2002 32 Motivating Example #2 r Multi-hop “ad hoc” networking Carey Janelle Yannis
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October 16, 2002 33 Motivating Example #2 r Multi-hop “ad hoc” networking Carey Janelle Yannis
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October 16, 2002 34 Motivating Example #2 r Multi-hop “ad hoc” networking Carey Janelle Yannis
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October 16, 2002 35 Motivating Example #2 r Two interesting subproblems: m Dynamic ad hoc routing: node movement can disrupt the IP routing path at any time, disrupting TCP connection; yet another way to lose packets!!!; possible solution: Explicit Loss Notification (ELN) m TCP flow control: the bursty nature of TCP packet transmissions can create contention for the shared wireless channel among forwarding nodes; possible solution: rate-based flow control
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October 16, 2002 36 Example of Our Work r Context-Aware Transport/Network Internet Protocol (CATNIP) r Motivation: “Like kittens, TCP connections are born with their eyes shut” - CLW 2002 r Research Question: How much better could TCP perform if it knew what it was trying to accomplish (e.g., Web document transfer)?
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October 16, 2002 37 Some Key Observations (I think) r Not all packet losses are created equal r TCP sources have relatively little control r IP routers have all the power!!!
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October 16, 2002 38 Tutorial: TCP 201 r There is a beautiful way to plot and visualize the dynamics of TCP behaviour r Called a “TCP Sequence Number Plot” r Plot packet events (data and acks) as points in 2-D space, with time on the horizontal axis, and sequence number on the vertical axis
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October 16, 2002 39 Time SeqNum X + Key: X Data Packet + Ack Packet X X X X X X X X X X X X X + + + + + + + + + + + + +
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October 16, 2002 40 TCP 201 (Cont’d) r What happens when a packet loss occurs? r Quiz Time... m Consider a 14-packet Web document m For simplicity, consider only a single packet loss
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October 16, 2002 41 Time SeqNum X + Key: X Data Packet + Ack Packet X X X X X X X X X X X X + + + + + + + + + + + + ?
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October 16, 2002 42 Time SeqNum X + Key: X Data Packet + Ack Packet X X X X X X X X X X X X + + + + + + + + + + + + X +
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October 16, 2002 43 Time SeqNum X + Key: X Data Packet + Ack Packet X X X X X X X X X X X X + + + + + + + + + ?
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October 16, 2002 44 Time SeqNum X + Key: X Data Packet + Ack Packet X X X X X X X X X X X X + + + + + + + ++++ + X +
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October 16, 2002 45 Time SeqNum X + Key: X Data Packet + Ack Packet X + ?
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October 16, 2002 46 Time SeqNum X + Key: X Data Packet + Ack Packet X X X + + + X X X X + + + + X X X + + +
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October 16, 2002 47 TCP 201 (Cont’d) r Main observation: m “Not all packet losses are created equal” r Losses early in the transfer have a huge adverse impact on the transfer latency r Losses near the end of the transfer always cost at least a retransmit timeout r Losses in the middle may or may not hurt, depending on congestion window size at the time of the loss
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October 16, 2002 48 The TCP Transfer “Pain Profile” SeqNum of the Single Lost Packet 1 N Relative Transfer Time
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October 16, 2002 49 Design of CATNIP Can we make the TCP/IP protocols “smarter” about the specific job they are trying to do? Yes. Convey application-layer context information to the TCP and IP layers Network Transport Application Document Size Packet Priority
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October 16, 2002 50 Design of CATNIP (Cont’d) Q: What could a TCP source do differently? A: If it knew how much data it had to send, and how far along it was already, then maybe… Rate-Based Pacing of the Last Window (RBPLW) Early Congestion Avoidance (ECA) Selective Packet Marking (SPM): Use the reserved high-order bit in the TCP header to convey packet priority information (high priority for the really crucial packets)
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October 16, 2002 51 Design of CATNIP (Cont’d) Q: What could an IP router do differently? A: If it knew which packets were the “painful” ones to lose, then the router could… CATNIP-Good: give them preferential treatment, and avoid throwing them away (if possible) when congested CATNIP-Bad: throw them away
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October 16, 2002 52 Simulation Evaluation Network model: Client 100 Server 1 Server 2 Server 10 Client 1 Client 2 Client 99 1.5 Mbps, 5 ms 10 Mbps, 5 ms RouterSRouterC
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October 16, 2002 53 Simulation Evaluation (Cont’d) Web workload model: 100 clients, 10 different Web pages Use empirically-observed distribution to determine the size, and the number of embedded images
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October 16, 2002 54 Simulation Evaluation (Cont’d) Factors and Levels: Performance metrics: transfer time for each Web page packet loss ratio
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October 16, 2002 55 Simulation Results for DropTail Routers Reno/ RBPLW Reno ECA ECA/RBPLW Mean and Standard Deviation of Transfer Times
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October 16, 2002 56 Simulation Results for CATNIP-Good Routers Mean and Standard Deviation of Transfer Times Reno/DropTail SPM/Good
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October 16, 2002 57 Observations r Sources have relatively little control r IP routers have all the power r Adding context-awareness at the IP routers improves both mean and standard deviation of Web page transfer times r SPM and CATNIP-Good provide most of the benefit r Advantages of CATNIP are most prominent at low levels of IP packet loss (1-5%)
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October 16, 2002 58 Summary r There seem to be performance advantages to bending the rules regarding the Internet protocol stack layered model r The general notion of “awareness” needs to explored in a variety of contexts m wireless networks, ad hoc routing, TCP/IP, Web caching, mobile computing, adaptive applications, … r Many exciting issues to explore!!
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October 16, 2002 59 The Next Steps r Putting it all together: Web + Wireless r Wireless Internet Performance Lab (UofC) r Experimental Laboratory for Internet Systems and Applications (UofS/UofC,CFI) r Research Collaborations: m UofC, UofS, UofA, TRLabs, CS/ECE m Nortel? HP? Cisco? Agilent? Telus Mobility?
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October 16, 2002 60 The End: Question Time! r For more information: m Email: carey@cpsc.ucalgary.ca m URL: www.cpsc.ucalgary.ca/~carey r Many thanks to my research team and the TeleSim Research Group at the U of C r Special thanks to iCORE, NSERC, CFI, andTelus Mobility
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