. The simulation results reveal interesting characteristics of the studied heuristics. We report these characteristics with a detailed discussion on which heuristics to utilize for robust CDN data replication given a specific scenario. Index Terms—robustness; data replication; content delivery networks; resource

. The simulation results reveal interesting characteristics of the studied heuristics. We report these characteristics with a detailed discussion on which heuristics to utilize for robust CDN data replication given a specific scenario.

provide a distributed hash table (DHash) for block storage. CFS clients interpret DHash blocks as a file system. DHash distributes and caches blocks at a fine granularity to achieve load balance, uses replication for robustness, and decreases latency with server selection. DHash finds blocks using

and skewness in wealth than U.S. data. However, an extension that relies on a small amount of heterogeneity in thrift does succeed in replicating the key features of the wealth data. Furthermore, this extension features aggregate time series that depart significantly from permanent income behavior.

of interest. The approach applies equally well to both single channel and two color microarray experiments. Consistent, closed form estimators are derived for the hyperparameters in the model. The estimators proposed have robust behavior even for small numbers of arrays and allow for incomplete data arising

“natural’ ’ correspondence with data or services that have been replicated for availability or as part of a coherent cache. They can be used to support highly available security domains, and group mechanisms fit well with an emerging generation of intelligent network and collaborative work applications.

client workload and network topology, the stability of the input data, and methods for obtaining the input. Keywords—World Wide Web, replication, replica placement algorithm, content distribution network (CDN). I.

them numerically using real Internet topology data. We find that the best results are obtained with heuristics that have all the CDN servers cooperating in making the replication decisions. We also develop a model for studying the benefits of cooperation between nodes, which provides insight into peer

ially hundreds of thousands of desktop computers to create a collaborative virtual file system. To increase network robustness and eliminate single points of failure, Freenet employs a completely decentralized architecture. Given that the P2P environment is inherently untrustworthy and unreliable

in the network. We address the content replication problem by replicating content across a geographi-cally distributed set of servers and redirect users to the closest server in terms of CDN utility. Through a detailed simulation environment, using real and synthetically generated data sets we show