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P2P Networking and Content Distribution March 28, 2013 2: Application Layer 1 Announcements H/W due today (Calendar, Packet pair) Calendar app 1 week extension is possible (but w/ 10% point deduction) Meeting w/ project mentors by Monday Project plan presentation Introduction/background Problem definition (or research questions) Related work (no need to be complete) Approach (+supporting materials) Plans (including refining research questions + experimenting about ideas) 2: Application Layer 2 Reviews Network app: client-server, p2p, hybrid Programming: socket Addressing issues Transport layer vs. service requirements TCP vs. UDP (differences) HTTP: persistent vs. non-persistent HTTP: cookies DNS: distributed, hierarchical DB DNS name hierarchy vs. Internet's topology DNS resolution: iterative vs. recursive 2: Application Layer 3 Contents P2P architecture and benefits P2P content distribution Content distribution network (CDN) 2: Application Layer 4 Pure P2P architecture no always-on server arbitrary end systems directly communicate peer-peer peers are intermittently connected and change IP addresses Three topics: File distribution Searching for information Case Study: Skype 2: Application Layer 5 File Distribution: Server-Client vs P2P Question : How much time to distribute file from one server to N peers? us: server upload bandwidth Server us File, size F dN uN u1 d1 u2 ui: peer i upload bandwidth d2 di: peer i download bandwidth Network (with abundant bandwidth) 2: Application Layer 6 File distribution time: server-client server sequentially sends N copies: NF/us time client i takes F/di time to download Server F us dN u1 d1 u2 d2 Network (with abundant bandwidth) uN Time to distribute F to N clients using = dcs = max {NF/us, F/min(di) } i client/server approach increases linearly w.r.t. N (for large N) 2: Application Layer 7 File distribution time: P2P Server server must send one F u1 d1 u2 d2 copy: F/us time us client i takes F/di time Network (with dN to download abundant bandwidth) uN NF bits must be downloaded (aggregate) fastest possible upload rate: us + Sui dP2P = max { F/us, F/min(di) , NF/(us + Sui) } i 2: Application Layer 8 Server-client vs. P2P: example Client upload rate = u, F/u = 1 hour, us = 10u, dmin ≥ us Minimum Distribution Time 3.5 P2P 3 Client-Server 2.5 2 1.5 1 0.5 0 0 5 10 15 20 25 30 35 N Client server ~ NF/us vs. P2P ~ NF/(us + Sui) 2: Application Layer 9 Contents P2P architecture and benefits P2P content distribution Content distribution network (CDN) 2: Application Layer 10 P2P content distribution issues Issues Group management and data search Reliable and efficient file exchange Security/privacy/anonymity/trust Approaches for group management and data search (i.e., who has what?) Centralized (e.g., BitTorrent tracker) Unstructured (e.g., Gnutella) Structured (Distributed Hash Tables [DHT]) 2: Application Layer 11 Centralized model (Napster) original “Napster” design 1) when peer connects, it informs central server: Bob centralized directory server 1 peers IP address content 2) Alice queries for “Hey Jude”; server notifies that Bob has the file.. 3) Alice requests file from Bob 1 3 1 2 Q: “Hey Jude” A: Bob has it 1 Alice 2: Application Layer 12 Centralized model Bob Alice file transfer is decentralized, but locating content is highly centralized Judy Jane 2: Application Layer 13 Centralized model Benefits: Low per-node state Limited bandwidth usage Short search time High success rate Fault tolerant Drawbacks: Single point of failure Limited scale Possibly unbalanced load Bob Judy Alice Jane 2: Application Layer 14 File distribution: BitTorrent P2P file distribution tracker: tracks peers participating in torrent torrent: group of peers exchanging chunks of a file obtain a list of peers trading chunks peer 2: Application Layer 15 BitTorrent (1) file divided into 256KB chunks. peer joining torrent: has no chunks, but will accumulate them over time registers with a tracker to get list of peers, connects to subset of peers (“neighbors”) while downloading, peer uploads chunks to other peers. peers may come online and go offline once peer has entire file, it may (selfishly) leave or (altruistically) remain 2: Application Layer 16 BitTorrent (2) Pulling Chunks at any given time, different peers have different subsets of file chunks periodically, a peer (Alice) asks each neighbor for a list of chunks that it has. Alice sends requests for her missing chunks rarest first Sending Chunks: tit-for-tat Alice sends chunks to four neighbors currently sending her chunks at the highest rate re-evaluate top 4 every 10 secs every 30 secs: randomly select another peer, starts sending chunks newly chosen peer may join top 4 “optimistically unchoke” 2: Application Layer 17 BitTorrent: Tit-for-tat (1) Alice “optimistically unchokes” Bob (2) Alice becomes one of Bob’s top-four providers; Bob reciprocates (3) Bob becomes one of Alice’s top-four providers With higher upload rate, can find better trading partners & get file faster! 2: Application Layer 18 P2P Case study: Skype Skype clients (SC) inherently P2P: pairs of users communicate. proprietary Skype login server application-layer protocol (inferred via reverse engineering) hierarchical overlay with super nodes (SNs) Index maps usernames to IP addresses; distributed over SNs Supernode (SN) 2: Application Layer 19 Contents P2P architecture and benefits P2P content distribution Content distribution network (CDN) 2: Application Layer 21 Why Content Networks? More hops between client and Web server more congestion! Same data flowing repeatedly over links between clients and Web server C1 C3 C4 S C2 Slides from http://www.cis.udel.edu/~iyengar/courses/Overlays.ppt - IP router 2: Application Layer 22 Why Content Networks? Origin server is bottleneck as number of users grows Flash Crowds (for instance, Sept. 11) The Content Distribution Problem: Arrange a rendezvous between a content source at the origin server (www.cnn.com) and a content sink (us, as users) Slides from http://www.cis.udel.edu/~iyengar/courses/Overlays.ppt 2: Application Layer 23 Example: Web Server Farm Simple solution to the content distribution problem: deploy a large group of servers www.cnn.com (Copy 1) www.cnn.com (Copy 2) Request from grad.umd.edu www.cnn.com (Copy 3) Request from ren.cis.udel.edu L4-L7 Switch Request from ren.cis.udel.edu Request from grad.umd.edu Arbitrate client requests to servers using an “intelligent” L4-L7 switch Pretty widely used today 2: Application Layer 24 Example: Caching Proxy Majorly motivated by ISP business interests – reduction in bandwidth consumption of ISP from the Internet Reduced network traffic Reduced user perceived latency ISP Client ren.cis.udel.edu Client merlot.cis.ud el.edu Intercepters TCP port 80 traffic Other traffic Internet www.cnn.com Proxy 2: Application Layer 25 But on Sept. 11, 2001 Web Server www.cnn.com New Content WTC News! 1000,000 other hosts request 1000,000 other hosts ISP old content request User mslab.kaist.ac.kr - Congestion / Bottleneck - Caching Proxy 2: Application Layer 26 Problems with discussed approaches: Server farms and Caching proxies Server farms do nothing about problems due to network congestion Caching proxies serve only their clients, not all users on the Internet Content providers (say, Web servers) cannot rely on existence and correct implementation of caching proxies Accounting issues with caching proxies. For instance, www.cnn.com needs to know the number of hits to the webpage for advertisements displayed on the webpage 2: Application Layer 27 Again on Sept. 11, 2001 with CDN Web Server www.cnn.com New Content WTC News! WA CA MI 1000,000 other users IL MA 1000,000 other users FL NY DE request new content User mslab.kaist.ac.kr - Distribution Infrastructure - Surrogate 2: Application Layer 28 Web replication - CDNs Overlay network to distribute content from origin servers to users Avoids large amount of same data repeatedly traversing potentially congested links on the Internet Reduces Web server load Reduces user perceived latency Tries to route around congested networks 2: Application Layer 29 CDN vs. Caching Proxies Caches are used by ISPs to reduce bandwidth consumption, CDNs are used by content providers to improve quality of service to end users Caches are reactive, CDNs are proactive Caching proxies cater to their users (web clients) and not to content providers (web servers), CDNs cater to the content providers (web servers) and clients CDNs give control over the content to the content providers, caching proxies do not 2: Application Layer 30 CDN Architecture Origin Server CDN Request Routing Infrastructure Distribution & Accounting Infrastructure Surrogate Surrogate Client Client 2: Application Layer 31 CDN Components Distribution Infrastructure: Moving or replicating content from content source (origin server, content provider) to surrogates Request Routing Infrastructure: Steering or directing content request from a client to a suitable surrogate Content Delivery Infrastructure: Delivering content to clients from surrogates Accounting Infrastructure: Logging and reporting of distribution and delivery activities 2: Application Layer 32 Server Interaction with CDN www.cnn.com 1. Origin server pushes new content to CDN OR CDN pulls content from origin server Origin Server 1 2 2. Origin server requests logs and other accounting info from CDN OR CDN provides logs and other accounting info to origin server CDN Distribution Infrastructure Accounting Infrastructure 2: Application Layer 33 Client Interaction with CDN 1. Hi! I need www.cnn.com/sept11 2. Go to surrogate newyork.cnn.akamai.com CDN california.cnn.akamai.com Surrogate (CA) Request Routing Infrastructure 3. Hi! I need content /sept11 newyorkcnn.akamai.com Q: How did the CDN choose the New York surrogate over the California surrogate ? Surrogate (NY) 1 2 3 Client 2: Application Layer 34 Request Routing Techniques Request routing techniques use a set of metrics to direct users to “best” surrogate Proprietary, but underlying techniques known: DNS based request routing Content modification (URL rewriting) Anycast based (how common is anycast?) URL based request routing Transport layer request routing Combination of multiple mechanisms 2: Application Layer 35 DNS based Request-Routing Common due to the ubiquity of DNS as a directory service Specialized DNS server inserted in a DNS resolution process DNS server is capable of returning a different set of A, NS or CNAME records based on policies/metrics 2: Application Layer 36 DNS based Request-Routing Q: How does the Akamai DNS know which surrogate is closest ? Akamai CDN newyork.cnn.akamai.com Surrogate 145.155.10.15 www.cnn.com Akamai DNS california.cnn.akamai.com Surrogate 58.15.100.152 1) DNS query: www.cnn.com test.nyu.edu 128.4.30.15 DNS response: A 145.155.10.15 newyork.cnn.akamai.com local DNS server (dns.nyu.edu) 128.4.4.12 2: Application Layer 37 DNS based Request-Routing www.cnn.com Akamai CDN Akamai DNS Surrogate Surrogate DNS query test.nyu.edu 128.4.30.15 local DNS server (dns.nyu.edu) 128.4.4.12 2: Application Layer 38 DNS based Request-Routing www.cnn.com Akamai DNS Akamai CDN Requesting DNS - 76.43.32.4 Surrogate - 145.155.10.15 Surrogate 58.15.100.152 Surrogate 145.155.10.15 Requesting DNS - 76.43.32.4 Requesting DNS - 76.43.32.4 Available Bandwidth = 10 kbps RTT = 10 ms Client Client DNS 76.43.35.53 76.43.32.4 Available Bandwidth = 5 kbps RTT = 100 ms www.cnn.com A 145.155.10.15 TTL = 10s 2: Application Layer 39 DNS based Request Routing: Discussion Originator Problem: Client may be far removed from client DNS Client DNS Masking Problem: Virtually all DNS servers, except for root DNS servers honor requests for recursion Q: Which DNS server resolves a request for test.nyu.edu? Q: Which DNS server performs the last recursion of the DNS request? Hidden Load Factor: A DNS resolution may result in drastically different load on the selected surrogate – issue in load balancing requests, and predicting load on surrogates 2: Application Layer 40 CDN Strategies Pushing content closer to the users: hop count reduction (overall network traffic reduction) CDN Strategies: Limelight placing CDN servers near a small # of ISP core nets Akamai placing CDN servers deep into a large # of ISP networks’ sites Nano Data Center (NaDa) home gateways (STBs/modems) as CDN servers (peer-to-peer delivery among NaDa servers) Core Router Core Network Edge Router OLT ONT DSLAM Modem Metro/Edge Network Digital Media Delivery Platform Access NaDa Summary P2P architecture and its benefits P2P content distribution BitTorrent, Skype Content distribution network (CDN) DNS-based request routing 2: Application Layer 42