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» Tolerating Faults in Synchronization Networks
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CN
2007
96views more  CN 2007»
13 years 11 months ago
Persistent detection and recovery of state inconsistencies
Soft-state is a well established approach to designing robust network protocols and applications. However it is unclear how to apply soft-state approach to protocols that must mai...
Lan Wang, Daniel Massey, Lixia Zhang
TOIS
2002
87views more  TOIS 2002»
13 years 10 months ago
Peer-to-peer data trading to preserve information
Data archiving systems rely on replication to preserve information. This paper discusses how a network of autonomousarchiving sites can trade data to achievethe most reliable repl...
Brian F. Cooper, Hector Garcia-Molina
DSN
2011
IEEE
12 years 10 months ago
High performance state-machine replication
Computer systems are usually made fault tolerant through replication. By replicating a service on multiple servers we make sure that if some replicas fail, the service can still b...
Parisa Jalili Marandi, Marco Primi, Fernando Pedon...
IPSN
2004
Springer
14 years 4 months ago
Loss inference in wireless sensor networks based on data aggregation
In this paper, we consider the problem of inferring per node loss rates from passive end-to-end measurements in wireless sensor networks. Specifically, we consider the case of in...
Gregory Hartl, Baochun Li
SASO
2007
IEEE
14 years 5 months ago
Desynchronization: The Theory of Self-Organizing Algorithms for Round-Robin Scheduling
The study of synchronization has received much attention in a variety of applications, ranging from coordinating sensors in wireless networks to models of fireflies flashing in...
Ankit Patel, Julius Degesys, Radhika Nagpal