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Lastly, we provide a peer failure mechanism, which allows the proposed system to quickly and efficiently recover from peer failures.
Forwarding techniques are attractive because they typically require little state and offer robustness to peer failures; however they have inherent performance drawbacks due to the overhead of forwarding and lack of central control.
The evaluation of the MapReduce P2P prototyping system has exposed several issues: (i) distributing large datasets on peers can cause peer failures on high latency networks; (ii) different distributed problems require different mapper and reducer operations; and (iii) the prototyping implementation must be evaluated on large-scale networks.
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However, a serious problem of ALM is that the multicast tree may be fragile, and peer failure causes tree partitions.
To be effective for P2P use, the geometry must meet several criteria, including: the overlay must be fully connected for resiliency to peer failure, peers throughout the peer population must have a uniform degree to avoid load imbalance, there must be support for at least one type of distributed routing function that converges, and so on.
Here, the delay of the peer failure scenarios is lower than in the original case.
Internet peer groups face performance decline as the number of peers increases due to peer failure and network latency.
The system also lacks a component to monitor high workload on peers, which may lead to peer failure.
Peers keep resource indexes if they share the same identifier space, thus distributing fairly resources among peers and reducing the impact of peer failure.
We show that the chosen clean-up mechanism has an impact on the delivery performance and that the system is still robust against peer failure.
This study improves the framework by providing peer failure and task management components, implementing these components on the system and performing experiments on the Internet.
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