Estimation of Messaging Overhead Distributed Detection and Inference (DDI)
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Intel and the Intel logo are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. *Other names and brands may be claimed as the property of others. Copyright © 2006, Intel Corporation. All rights reserved. CTG Intern Poster Session Estimation of Messaging Overhead Distributed Detection and Inference (DDI) • Objective – Understand overhead of DDI messaging • Challenge – Design/evaluate scalable scheme for membership maintenance • Approach – Implement a gossip-based messaging and membership scheme • Achievement – Evaluation of effect of packet duplication on detection • Local Detectors (LDs) gossip their Local Reports (LRs) to random subset of Global Detectors (GDs) • LDs and GDs maintain random partial membership view • Membership views exchanged between LDs and GDs to ensure view uniformity and prevent node isolation and overlay partition • Challenges: Bootstrapping, Isolation Recovery, Partition Prevention/Recovery, Un- subscriptions Effect of LR Duplication on Detection Messaging & Membership Scheme Soumya Sen (UPenn), Supervisors: Carl Livadas, Eve Schooler, DDI team Fig: % of non-duplicate LRs Vs Effective Fanout Fig. Effect of varying effective fanout on worm detection The DDI System Architecture Extent of LR duplication
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Estimation of Messaging Overhead Distributed Detection and Inference (DDI). Soumya Sen (UPenn), Supervisors: Carl Livadas, Eve Schooler, DDI team. Objective – Understand overhead of DDI messaging Challenge – Design/evaluate scalable scheme for membership maintenance - PowerPoint PPT Presentation
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Intel and the Intel logo are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. *Other names and brands may be claimed as the property of others. Copyright © 2006, Intel Corporation. All rights reserved.
CTG Intern Poster Session
Estimation of Messaging Overhead
Distributed Detection and Inference (DDI)•Objective – Understand overhead of DDI messaging
•Challenge – Design/evaluate scalable scheme for membership maintenance
•Approach – Implement a gossip-based messaging and membership scheme
•Achievement – Evaluation of effect of packet duplication on detection
• Local Detectors (LDs) gossip their Local Reports (LRs) to random subset of Global Detectors (GDs)
• LDs and GDs maintain random partial membership view
• Membership views exchanged between LDs and GDs to ensure view uniformity and prevent node isolation and overlay partition
• Challenges: Bootstrapping, Isolation Recovery, Partition Prevention/Recovery, Un-subscriptions
Effect of LR Duplication on Detection
Messaging & Membership Scheme
Soumya Sen (UPenn), Supervisors: Carl Livadas, Eve Schooler, DDI team
Fig: % of non-duplicate LRs Vs Effective Fanout Fig. Effect of varying effective fanout on worm detection
The DDI System Architecture
Extent of LR duplication
