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Locality-Aware and Churn-Resilient Load Balancing Algorithms in Structured Peer-to-Peer Networks
White Paper This paper presents a locality-aware randomized load balancing algorithm to deal with both of the proximity and network churn at the same time. Structured peer-to-peer overlay networks like Distributed Hash Tables (DHTs) map data items to the... [10 Jul 2008]
Randomized Load Balancing With Non-Uniform Task Lengths
White Paper Peer-to-peer (P2P) networks based on consistent hashing functions have an inherent load uneven distribution problem. The objective of load balancing in P2P networks is to balance the workload of the network nodes in proportion to their capacity so... [10 Jul 2008]
Random Choices for Churn Resilient Load Balancing in Peer-to-Peer Networks
White Paper Peer-to-peer (P2P) networks based on consistent hashing functions have an inherent load uneven distribution problem. The objective of load balancing in P2P networks is to balance the workload of the network nodes in proportion to their capacity so... [10 Jul 2008]
Practical Load Balancing for Content Requests in Peer-to-Peer Networks
White Paper This paper studies the problem of balancing the demand for content in peer-to-peer network across heterogeneous peer nodes that hold replicas of the content. It shows that these techniques do not work well in the peer-to-peer context; either they... [10 Jul 2008]
Load Balancing in Structured P2P Systems
White Paper It explores the space of designing load-balancing algorithms that uses the notion of "Virtual servers". This paper addresses the problem of load balancing in such P2P systems. Most P2P systems that provide a DHT abstraction distribute objects among... [10 Jul 2008]
Simple Efficient Load Balancing Algorithms for Peer-to-Peer Systems
White Paper Load balancing is a critical issue for the efficient operation of peer-to-peer networks. This paper gives two new load-balancing protocols whose provable performance guarantees are within a constant factor of optimal. [10 Jul 2008]
Grid Load Balancing Using Intelligent Agents
White Paper Each agent is a representative of a local grid resource and utilises predictive application performance data and iterative heuristic algorithms to engineer local load balancing across multiple hosts. A combination of intelligent agents and multi... [10 Apr 2008]
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