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» Tolerating Faults in Synchronization Networks
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CN
2007
96views more  CN 2007»
15 years 1 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
87
Voted
TOIS
2002
87views more  TOIS 2002»
15 years 1 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
14 years 1 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...
99
Voted
IPSN
2004
Springer
15 years 7 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
15 years 8 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