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ProtoPeer: a P2P toolkit bridging the gap between simulation and live deployement
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Source International Conference On Simulation Tools And Techniques For Communications, Networks And Systems & Workshops archive
Proceedings of the 2nd International Conference on Simulation Tools and Techniques table of contents
Rome, Italy
SESSION: Simulation of P2P systems table of contents
Article No. 60  
Year of Publication: 2009
ISBN:978-963-9799-45-5
Authors
Wojciech Galuba  Ecole Polytechnique Fédérale de Lausanne, Lausannne, Switzerland
Karl Aberer  Ecole Polytechnique Fédérale de Lausanne, Lausannne, Switzerland
Zoran Despotovic  DOCOMO Euro-Labs, Munich, Germany
Wolfgang Kellerer  DOCOMO Euro-Labs, Munich, Germany
Sponsors
: Create-Net
: ICST
Publisher
Bibliometrics
Downloads (6 Weeks): 9,   Downloads (12 Months): 20,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: 10.4108/ICST.SIMUTOOLS2009.5681

ABSTRACT

Simulators are a commonly used tool in peer-to-peer systems research. However, they may not be able to capture all the details of a system operating in a live network. Transitioning from the simulation to the actual system implementation is a non-trivial and time-consuming task.

We present ProtoPeer, a peer-to-peer systems prototyping toolkit that allows for switching between the event-driven simulation and live network deployment without changing any of the application code. ProtoPeer defines a set of APIs for message passing, message queuing, timer operations as well as overlay routing and managing the overlay neighbors. Users can plug in their own custom implementations of most of the parts of ProtoPeer including custom network models for simulation and custom message passing over different network stacks.

ProtoPeer is not only a framework for building systems but also for evaluating them. It has a unified system-wide infrastructure for event injection, measurement logging, measurement aggregation and managing evaluation scenarios.

The simulator scales to tens of thousands of peers and gives accurate predictions closely matching the live network measurements.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Wojciech Galuba: colleagues
Karl Aberer: colleagues
Zoran Despotovic: colleagues
Wolfgang Kellerer: colleagues