Internet 2 Spring Member Meeting April 10, 2003

1. Internet2 Spring Member Meeting April 10, 2003 Logistical Networking as an Advanced Engineering TestbedMicah Beck, Assoc. Prof. & DirectorLogistical Computing & Internetworking (LoCI) Labmbeck@cs.utk.edu

2. Panel Participants • Gabriella Paolini, GARR (by phone)Topic: IPv6 • Geoff Hayward, Yotta YottaTopic: Wide Area Storage Networking • Jim Ferguson, NCSATopic: Web 100 / TCP Tuning

3. Funding Dept. of Energy SciDAC National Science Foundation ANIR UT Center for Info Technology Research University of Tennessee Micah Beck James S. Plank Jack Dongarra University of California, Santa Barbara Rich Wolski Logistical Networking Research at UTK

4. What is Logistical Networking • A scalable mechanism for deploying shared storage resources throughout the network • A general store-and-forward overlay networking infrastructure • A way to break transfers into segments and employ heterogeneous network technologies on the pieces

5. Why “Logistical Networking” • Analogy to logistics in distribution of industrial and military personnel & materiel • Fast highways alone are not enough • Goods are also stored in warehouses for transfer or local distribution • Fast networks alone are not enough • Data must be stored in buffers/files for transfer or local distribution

6. The Network Storage Stack Applications • Our adaption of the network stack architecture for storage • Like the IP Stack • Each level encapsulates details from the lower levels, while still exposing details to higher levels Logistical File System Logistical Tools L-Bone exNode IBP Local Access Physical

7. IBP: The Internet Backplane Protocol • Storage provisioned on community “depots” • Very primitive service (similar to block service, but more sharable) • Goal is to be a common platform (exposed) • Also part of end-to-end design • Best effort service – no heroic measures • Availability, reliability, security, performance • Allocations are time-limited! • Leases are respected, can be renewed • Permanent storage is to strong to share!

8. Moderately valuable resources Storage, server cycles Sharing enabled by relative plenty Internet-like policies Loose access control No per-use accounting Primary design goal: scalability Application autonomy Resource transparency Burdens of scalability The End-to-End Principles Weak operation semantics Vulnerability to Denial of Service Models of Sharing: Logistical Networking

9. Data Movers • Module implementing standard point-to-multipoint transfer between IBP allocations • Uniform API allows independence from the underlying data transfer protocol • Not every DM can apply to every transfer • Caller responsible for determining validity • Current options: Multi-TCP, Multi-UDP (reliable), UDP Multicast (unreliable)

10. The Network Storage Stack LoRS: The Logistical Runtime System: Aggregation tools and methodologies The L-bone: Resource Discovery & Proximity queries The exNode: A data structure for aggregation IBP: Allocating and managing network storage (like a network malloc)

11. The Logistical Backbone (L-Bone) • LDAP-based storage resource discovery. • Query by capacity, network proximity, geographical proximity, stability, etc. • Periodic monitoring of depots. • 10 Terabytes of shared storage. (with plans to scale to a petabyte...)

12. L-Bone: January 2003 Current Storage Capacity: 10 TB

13. The Network Storage Stack LoRS: The Logistical Runtime System: Aggregation tools and methodologies The L-bone: Resource Discovery & Proximity queries The exNode: A data structure for aggregation IBP: Allocating and managing network storage (like a network malloc)

14. The exNode • The Network “File Descriptor • XML-based data structure/serialization • Map byte-extents to IBP buffers (or other allocations). • Allows for replication, flexible decomposition of data. • Also allows for error-correction/checksums • Arbitrary metadata.

15. ExNode vs inode IBP Allocations the network local system capabilities exNode user kernel inode block addresses disk blocks

16. The Network Storage Stack LoRS: The Logistical Runtime System: Aggregation tools and methodologies The L-bone: Resource Discovery & Proximity queries The exNode: A data structure for aggregation IBP: Allocating and managing network storage (like a network malloc)

17. Logistical Runtime System • Basic Primitives: • Upload, Download, Augment, Refresh • End-to-end Services • Checksums, Encryption, Compression

18. Download Movie

19. Multithreaded Transfers

20. Routed/Multipath

21. Point-to-Multipoint

22. Heterogeneous Multicast

23. Caching/Staging

24. Further Advanced Capabilities • IBP over IPv6 • Dual stack depot • Specialized DataMovers • UDP (SABUL, Tsunami) • Fiber Channel over IP • Non-standard TCP Stacks • Web 100 • Future: FAST?

25. Panel Participants • Gabriella Paolini, GARR (by phone)Topic: IPv6 • Geoff Hayward, Yotta YottaTopic: Wide Area Storage Networking • Jim Ferguson, NCSATopic: Web 100 / TCP Tuning

26. Conclusions • IBP is a global testbed for advanced network engineering • Transfer rates routinely exceed 100Mbps • New Data Movers under development can reach current applications • Dedicated depots can support global testbed for kernel modificaitons