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INFOCOM
2005
IEEE

Distributed, secure load balancing with skew, heterogeneity and churn

9 years 8 months ago
Distributed, secure load balancing with skew, heterogeneity and churn
— Numerous proposals exist for load balancing in peer-to-peer (p2p) networks. Some focus on namespace balancing, making the distance between nodes as uniform as possible. This technique works well under ideal conditions, but not under those found empirically. Instead, researchers have found heavy-tailed query distributions (skew), high rates of node join and leave (churn), and wide variation in node network and storage capacity (heterogeneity). Other approaches tackle these less-than-ideal conditions, but give up on important security properties. We propose an algorithm that both facilitates good performance and does not dilute security. Our algorithm, kChoices, achieves load balance by greedily matching nodes’ target workloads with actual applied workloads through limited sampling, and limits any fundamental decrease in security by basing each nodes’ set of potential identifiers on a single certificate. Our algorithm compares favorably to four others in trace-driven simulation...
Jonathan Ledlie, Margo I. Seltzer
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where INFOCOM
Authors Jonathan Ledlie, Margo I. Seltzer
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