1 / 11

The CoBFIT Toolkit

HariGovind Ramasamy IBM Zurich Research Laboratory Mouna Seri and William H. Sanders PERFORM Research Group University of Illinois at Urbana-Champaign. The CoBFIT Toolkit. PODC-2007, Portland, Oregon, USA August 14, 2007. Overview. Component-based framework for Intrusion Tolerance

dobry
Download Presentation

The CoBFIT Toolkit

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. HariGovind RamasamyIBM Zurich Research LaboratoryMouna Seri and William H. SandersPERFORM Research GroupUniversity of Illinois at Urbana-Champaign The CoBFIT Toolkit PODC-2007, Portland, Oregon, USA August 14, 2007

  2. Overview • Component-based framework for Intrusion Tolerance • Software toolkit built by PERFORM research group at Illinois • Includes a protocol suite for efficient replication with dynamic groups • Asynchronous system model • Byzantine fault tolerant (BFT) • Evaluated on LAN and WAN (Planetlab) settings • Implemented in C++ • using the ACE object-oriented network programming framework • To be released under open-source license

  3. CoBFIT Components

  4. Distinguishing Features of the Protocol Suite • Replication protocols are parsimonious • Achieve amortized optimal efficiency despite asynchrony • Metrics of interest • message complexity of atomic broadcast (agreement) • overall resource usage (execution) • Previous works were either asynchronous or optimally efficient, but not both • Replication protocols in asynchronous model with dynamic groups • Previous works were either asynchronous or with dynamic groups, but not both

  5. Vizir Graphical User Interface • User-friendly interface implemented in Java using JGraph • Central console for deployment and management of a group • Define attributes of a server • Define connection topology of a server group • Specify/alter fault tolerance requirements • Automatic instantiation of appropriate group size • Monitoring execution of group members • Controlled fault injections

  6. Utility of CoBFIT • Reduced development and testing time for new BFT protocols • Similar protocols that require a group abstraction can be quickly implemented and tested by interfacing with CoBFIT components • Protocols components are modules that can be used individually or as a building block for providing more complex properties • Easy deployment, run-time monitoring, and management of distributed set of servers using Vizir GUI

  7. Vizir GUI - Drawing Mode • Define node attributes • Define connection topology • Save configuration onto an XML file

  8. Vizir GUI – Connected & Testing Mode • Load topology from XML file • Specify fault tolerance • test/deploy a preset protocol config. • monitor execution

  9. Testing Individual Protocols • Instantiate preset protocol configs. for testing • Change protocol parameters at run-time • Monitor execution (log messages & status bar)

  10. Asynchronous Dynamic Replication Group with Virtual Synchrony Tower of Hanoi Appl.:Client sends disk-move requests; upon identical replies from a quorum makes actual move Replicas can be added or removed, while group maintains state consistency

  11. Contact Info • HariGovind Ramasamy • hari.ramasamy@gmail.com • Mouna Seri • seri@crhc.uiuc.edu • William Sanders • whs@uiuc.edu

More Related