By Alt R., Vignes J.
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Extra resources for 10th GAMM-IMACS International Symposium on Scientific Computing, Computer Arithmetic, and Validated Numerics
Different schemes were proposed to harvest this kind of locality. [2, 5] However, to the best of our knowledge, there is no study performed on real world trace to validate this speculation. In this section we describe an evaluation study performed on a recently collected Kazaa trace and focus on the interest-based locality exhibited in this dataset. We show that our observation is backed by a sound proof. BuddyNet: History-Based P2P Search 25 We use data collected in . The data collection process is as follows: A caching server is installed at the border between the local Kazaa user base of a large ISP and the Internet cloud.
User activity distribution Fig. 2. User interaction distribution Figure 1 shows the activity distribution of the peers. Y-axis shows the number of downloads for each user. On X axis, users are ordered in decreasing order of the number of downloads they initiate. Logarithmic scale is used on Y-axis. The activity levels for different users are widely varied. With few users issuing as many as 10,000 requests, about 90% of the users issuing less than 10 requests. Who 26 Y. Shao and R. Wang answers these queries?
We log the status of the buddy list to be used at the next checkpoint. When a node is removed from the buddy list, its index is also purged. After the first transfer of the index, nodes periodically exchange indexes in an incremental fashion. An incremental index transfer can also be triggered when a peer finds out that its copy of a buddy’s index is out-of-date by an incorrect response to its query or failed downloads. Transferring indexes among peers can be an expensive operation. If it happens often, it will increase system load and cause the system to perform badly.