1 / 8

ToNC: Summary of Algorithmic Foundations Working Group

Explore the various algorithms and techniques used within networks to provide fundamental functionality, improve network performance, and enable network self-analysis. Considerations include massive scale, constraints, streaming data, heterogeneity, evolving topology, and network security.

rcoffey
Download Presentation

ToNC: Summary of Algorithmic Foundations Working Group

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. ToNC: Summary of Algorithmic Foundations Working Group John Byers, Neha Davé, Joe Hellerstein, Richard Karp, Richard Ladner, Gregory Malewicz, Satish Rao, William Steiger, and George Varghese March 17, 2006

  2. Distinctive Network Attributes and Considerations • Massive scale and scale-invariance • Constraints: space, memory, power, processing • Streamed data; continuous queries • Heterogeneity of capabilities • Graphs locally known, imperfectly known, or hidden. • Evolving topology • Networks increasingly under attack

  3. Algorithms Within The Network: Providing Fundamental Functionality • Routing • Exploiting geometry, e.g. “curveball” routing • Quantifying expressiveness vs. complexity tradeoffs • Avoiding/mitigating route flapping and oscillations • Approximately optimal routing; compact routing. • Load balancing and scheduling • Impact of heterogeneity; complex failure modes • Economic considerations; imperfect information • Naming and lookup • Data-centric lookup • Intentional naming • Specification and validation • Rich routing semantics that are verifiable

  4. Algorithms Within the Network: Making the Network “Better” • Measurement and management • Streaming algorithms • Going beyond AMS and FM sketches • Network self-analysis and correction (more next) • Fault diagnosis • “Why” button, detection of correlated failures • Network coding • Improving defenses, detection and forensics • Algorithmic detection of outliers or patterns • Construction of defenses that are hard to learn • DDoS traceback, worm propagation traceback

  5. Network Self-Analysis • Given a time-evolving graph where • Edge deletions and insertions are frequent • Data arrives online, one-pass access • Graph size may be prohibitive to store in its entirety • Goal 1: Compute summaries/sketches of key graph properties (conductance, bad cuts, eigenvalues). • Goal 2: Have the network take corrective action.

  6. Networks as Objects • Holistic approach: operate on the entire network • Universality, simulations, and embeddings • Can GENI simulate an arbitrary network? (more next) • Network growth and dynamics • Model, measure, exploit! • Codesign of network and algorithms • Networks within networks • Overlays, underlays, Grid, P2P

  7. Universal Networks • Can GENI simulate an arbitrary network with different naming and routing conventions? • Can we embed a complex application or experiment into a target infrastructure? Problem sketch: • Multi-commodity flow problem • Known traffic matrix • Routes between ingress and egress nodes known • Goal: embed this application into the infrastructure. • Minimize consumed resources, interference. • Connects to key systems issues of virtualization, emulation, repeatability of experimentation.

  8. Lessons to Apply Going Forward • Value of simple stripped-down models. • Avoid “pernicious effects of the ns simulator” • Lack of historical data has hindered validation • Predict what we will need from GENI. • Make sure to demand it, collect it! • Diversity of processing elements & communication media • Indispensability of networks in society

More Related