1 / 11

Network science (NS): hype or reality?

Network science (NS): hype or reality?. Chuanxiong Guo Microsoft Research Asia September 24, 2009. Definition. Science (Wikipedia) Any systematic knowledge-base or prescriptive practice that is capable of resulting in a prediction or predictable type of outcome

tirzah
Download Presentation

Network science (NS): hype or reality?

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. Network science (NS): hype or reality? Chuanxiong Guo Microsoft Research Asia September 24, 2009

  2. Definition • Science (Wikipedia) • Any systematic knowledge-base or prescriptive practice that is capable of resulting in a prediction or predictable type of outcome • Network Science (the “Network Science” book) • The study of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena

  3. Predictability • Internet collapse in 1980s • TCP congestion control • Network expansion • 32-bit IPv4 address and 16-bit AS number • Will IPv6 takeover? • Network security • DDos, virus, worm, and spam • Network traffic and topology • Self similarity, power law • Network applications • Web

  4. Networking research: An engineering perspective • Classical networking topics • Network architecture/protocol/applications • Multiple access • Packet scheduling/switching/routing • congestion control, traffic engineering/measurement, resource management • New technology trends, user requirement, economics of scale • P2p, sensor networks, network security, data center networking, social networking

  5. The emerging of network science • Inter-disciplinary • Physicist, mathematician, sociologist, information theorist, computer scientist, economist (?) • Data-driven discovery

  6. Data–driven discovery • Spam and botnet detection • Spamming Botnets [Xie08-sigcomm] • Spamalytics [Kanich08-ccs] • Network diagnostics, profiling • [Ionut08-sigcomm, Kandula08-sigcomm] • Online social networking • [Mislove07-IMC, Nazir08-IMC]

  7. Data-driven discovery: system infrastructure • Build large scale computing infrastructure for researchers from different disciplines • Scalable data center systems and networks (NSF CLuE program) • Dryad, Hadoop • DryadLinQ, MapReduce • Data, data, data! • Accumulation and open access

  8. What role can the wireless network and mobile computing community play? • Mobile data services • Recent advances in smart-phones • Access bandwidth • Mobility patterns • [Gonzalez08-nature, Lee09-infocom] • [Wang09-ScienceExpress] • Mobile communication networks • [Palla07-nature, Seshadri08-kdd]

  9. Wang-Sciencexpress09 Understanding the Spreading Patterns of Mobile Phone Viruses

  10. Summary • Networking research currently is mainly an engineering field • With research problems generated directly from real world • “We believe in rough consensus and running code“– David Clark • Bridging engineering and network science • Data-driven discovery • New models and insights from the broader science community • More predictable designs

  11. tools Data (and problem) Network Science Network Engineering Infrastructure

More Related