1 / 28

SAP: Storage Aware Protocols for Heterogeneous Networks

Explore the background, motivation, and proposed solutions for seamless communication in diverse network architectures. Discover the challenges, goals, and future directions for efficient content delivery. Investigate the role of storage-aware protocols in managing delay-tolerant applications.

verity
Télécharger la présentation

SAP: Storage Aware Protocols for Heterogeneous Networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. SAP: Storage Aware Protocols For heterogeneous networks Shweta Jain Assistant Professor Mathematics and Computer Science York College CUNY

  2. Outline • Background and Motivation • Overview of network architectures • --Applications, Goals , Challenges and Proposed solutions • Seamless communication • Work in progress • Next steps and future directions

  3. Background and motivation

  4. Arpanet in 1977 Source: The Computer History Museum ([1]), en:File:Arpnet-map-march-1977.png

  5. Internet in 2010 Source: www.Caida.org

  6. Some Statistics • Mobile broadband users worldwide • 1.2 billion estimated by the ITU in 2011 • Growth rate 45% annually over last 4 years • Mobile broadband subscriptions outnumber fixed subscriptions 2:1 • Top Mobile broadband Usage (survey 2010 by Keynote/Adobe) • Media and entertainment • Social networking, (76%) local information (73%), news (68%), music (63%), games (61%), video (56%) • Travel • Maps (81%), Research travel (47%)

  7. Analysis of Usage • Users prefer to be mobile • People want their content NOW • Mostly “Delay Intolerant” usage • Delay tolerant applications – not so much? • Ebooks,. Podcast, etc • Why do anything different with the delay tolerant traffic?

  8. Google Search Trends – Wimbledon, Olympics, Podcastsand Ebooks Wimbeldon Olympics Podcasts eBooks

  9. Analysis of Usage • Users prefer to be mobile • People want their content NOW • Mostly “Delay Intolerant” usage • Delay tolerant applications – not so much • ebooks,. Podcast • Google trend shows searches including the terms ebooks and podcasts • Similar traffic all year round! • Why do anything different with the delay tolerant traffic? • Need to make way for live streaming during the surge! • Historically when a service improves, demand for service also increases and vice-versa

  10. Key Motivation • Internet has evolved • Needs new protocols for efficient delivery of content • Mobile internet access is highly popular • Need a variety of mobile broadband infrastructures • Mesh and Manet free/low cost services • Sensors, IoT, VANET secure, niche applications for utilities and services • Need protocols that enable seamless communication across these networks • Delay tolerant applications need to be served differently from “delay intolerant” • Podcasts, eBooks, sensors, Internet of Things create traffic all year round

  11. Overview of network architectures Applications, Communication Goals , Communication Challenges and Proposed solutions

  12. Network architecture research – Key points

  13. Network architecture research – Key points

  14. Key Features • Routing technique: • Control state or Data state based • Cost metrics: • Link cost or Historical connectivity information • Transport • End-to-end TCP/UDP or Opportunistic transport, send data as soon as a candidate forwarding node is available

  15. Seamless communication Storage aware protocols (Network and Transport)

  16. Key Observations • From an application standpoint: • All networks are in general prone to varying degree of disconnections • Mobile devices lose connectivity for long or short time periods • Mobility triggers new route discovery, causing disconnection until a new end-to-end path is discovered • Sensor networks re-configure routes to avoid network partition due to battery depletion • IoT are struggling with communication storms which may be inferred as disconnection by the application • Cognitive radios stop transmitting when a primary user is detected

  17. Generalized Delay Tolerant Networks: gDTN • Observation: • In general all network architectures have properties similar to the Delay Tolerant Networks • Wireless characteristics • Intermittent connectivity – Cognitive Radio, MANET, VANET • Variable link speed – Bluetooth, WiMAX, WiFi, Cellular Internet • Long term disconnection – Mobility • Every vertical handoff changes the link speed • These are similar to Disruption Tolerant network (DTN) features • DTN is the extreme case of challenged networks • Wired is the other extreme case of well provisioned networks • Other wireless networks are somewhere between this red and green

  18. gDTN: Generalized DTN • ??: • Can a storage and prediction based approach be the one-size fit all solution to the problem of seamless interconnection? • Can we combine features of wireless routing with history and storage based DTN routing? • Proposal • SAP: Storage Aware Protocols for seamless integration of heterogeneous network architectures

  19. Work in progress Storage Aware Protocols (SAP)

  20. Components of SAP • Storage Aware Routing (STAR) • Use history based routing metric • Use storage to delay data delivery while the network searches for “better” paths Better ϵ{Energy efficient, most storage, fastest, higher probability of success,…} • Disruption tolerant transport • End-to-end transport with proxy and feedback for disconnection

  21. STAR: Storage Aware Routing • Compute multiple paths to the destination using the hop count based routing metric- breadth first topology search • Maintain long and short term “expected link rates” to describe the temporal/variable cost component of the routes • Choose to store when the best path is • Worse than usual or • Downstream routers have low available storage (network layer backpressure flow control) • (Future routers will have storage space for caching and temporary storage) (storage is getting cheaper by the year) Forwarding Algorithm

  22. Storage Router

  23. Applicable to all networks? • Applicability: • Long term cost: Time scale of variation depends upon the network type • Storage space: Indicates congestion in wired, wireless, DTN (congestion is a measure of storage space) • Storage aware routing concept for all networks • Unifies and generalizes the routing scheme across networks • Support for mobility • Allows policy and price based store or forward • Avoid expensive 3G • Store if the Wi-Fi data rate is lower than usual

  24. End to End Transport • Send feedback to sender or sender’s agent when data forwarding is interrupted • Sender keeps the route alive by sending 1 byte packets– similar to flow control in TCP • Data is stored at the last router that detected disconnection • If route becomes available, transmission resumes • If it takes too long…. • The end host will need to retry

  25. Next steps and future directions

  26. Next Steps • Implementation and evaluation • Simulation and emulation of network and transport on wired-wireless mesh and DTN testbeds • Tying the lose ends • How much state to maintain? • Proxy placement • How long and how much to store?

  27. Future Directions • Integration of networks is necessary but difficult • Several lose ends and unanswered questions • Security, data integrity and privacy

  28. Thanks for listening! Questions and feedback please?

More Related