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ACM CHANTS 2015 P. S. Paul 1 , B. C. Ghosh 2 , K. De 3 , S. Saha 3 , S. Nandi 1 , S. Chakraborty 4 1,4 Department of CSE , 2 Department of IT , 3 Department of CA 1,2,3 National Institute of Technology, Durgapur, India 4 Indian Institute of Technology, Khragpur, India Demo – pSync: A Peer-to-peer Sync Tool for Challenged Networks Objective P2P sync application for seamless file synchronization in DTN mode which is precisely customized for scenarios of challenged networks. Test Bed Experiment Result Analysis Conclusion and Future Scope pSync performance surpluses state-of-the art P2P sync tools like BitTorrent Sync when nodes are mobile. Works in progress to increase scalability and robustness. Random chunk forwarding and Testing in Different Dynamic Scenario References [1] Saha et al, “Designing delay constrained hybrid ad hoc network infrastructure for post-disaster communication,” Ad Hoc Networks [Elsevier], vol. 25, part B, 2015, pp. 406 - 429. [2] https://github.com/ghoshbishakh/psync Motivation Existing P2P syncing protocols perform poorly under challenged scenarios. Network Resource under-utilization due to flooding based data delivery. Less throughput due to huge packet duplication if conventional P2P syncing used. Features Role-based file syncing with file priority. Reduced data loss through device priority scheduling. Uses UDP to handle intermittent connectivity. Discovers stable neighbors. Intelligent group formation to enhance scalability. System Overview UAV Deployment across the Damodor River, Durgapur, India Scenario 1 : With Mobile Nodes (c) Distribution of File Syncing Times in Many to One (e) Distribution of Sync Times for messages at varying priority level. (g) Packet Delivery: Ground Mule Scenario (f) Packet Delivery: Aerial Mule Scenario (b) Final packet load node wise (a) Packet Delivery Probability Acknowledgement : This Publication is an outcome of the R&D work undertaken in the ITRA project of Media Lab Asia entitled "Post-Disaster Situation Analysis and Resource Management Using Delay-Tolerant Peer-to- Peer Wireless Networks (DISARM)“ (http://www.nitdgp.ac.in/MCN-RG/mcn-rg.html) (d) Average Sync Time over Varying Node Density UAV Deployment across the Damodor River, Durgapur, India

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Page 1: ACM CHANTS 2015 Demo pSync: A Peer-to-peer Sync Tool for ...cse.iitkgp.ac.in › ~sandipc › presentations › CHANTS_POSTER_2015.p… · ACM CHANTS 2015 P. S. Paul 1, B. C. Ghosh2,

ACM CHANTS 2015

P. S. Paul 1, B. C. Ghosh2, K. De3, S. Saha3, S. Nandi1, S. Chakraborty4 1,4Department of CSE , 2Department of IT ,3Department of CA

1,2,3National Institute of Technology, Durgapur, India 4Indian Institute of Technology, Khragpur, India

Demo – pSync: A Peer-to-peer Sync Tool for Challenged Networks

Objective

P2P sync application for seamless file synchronization in DTN mode which is precisely customized for scenarios

of challenged networks.

Test Bed Experiment

Result Analysis

Conclusion and Future Scope • pSync performance surpluses state-of-the art P2P sync tools like BitTorrent

Sync when nodes are mobile.

• Works in progress to increase scalability and robustness.

• Random chunk forwarding and Testing in Different Dynamic Scenario

References

[1] Saha et al, “Designing delay constrained hybrid ad hoc network

infrastructure for post-disaster communication,” Ad Hoc Networks

[Elsevier], vol. 25, part B, 2015, pp. 406 - 429.

[2] https://github.com/ghoshbishakh/psync

Motivation

•Existing P2P syncing protocols

perform poorly under challenged scenarios.

• Network Resource under-utilization due to flooding based

data delivery.

•Less throughput due to huge packet duplication if

conventional P2P syncing used.

Features

• Role-based file syncing with file priority.

• Reduced data loss through device priority

scheduling.

• Uses UDP to handle intermittent connectivity.

• Discovers stable neighbors.

• Intelligent group formation to enhance scalability.

System Overview

UAV Deployment across the Damodor River,

Durgapur, India

Scenario 1 : With Mobile Nodes (c) Distribution of File Syncing Times in Many to One

(e) Distribution of Sync Times for messages at varying

priority level. (g) Packet Delivery: Ground Mule Scenario

(f) Packet Delivery: Aerial Mule Scenario

(b) Final packet load node wise (a) Packet Delivery Probability

Acknowledgement : This Publication is an outcome of the R&D work undertaken in the ITRA project of Media Lab Asia entitled "Post-Disaster Situation Analysis and Resource Management Using Delay-Tolerant Peer-to-

Peer Wireless Networks (DISARM)“ (http://www.nitdgp.ac.in/MCN-RG/mcn-rg.html)

(d) Average Sync Time over Varying Node Density

UAV Deployment across the Damodor River, Durgapur, India