LessLog: a logless file replication algorithm for peer-to-peer distributed systems

2004 ◽  
Author(s):  
Kuang-Li Huang ◽  
Tai-Yi Huang ◽  
J.C.Y. Chou
Keyword(s):  
Distributed Systems ◽  
Peer To Peer ◽  
File Replication

Zorilla: a peer-to-peer middleware for real-world distributed systems

2011 ◽  
Vol 23 (13) ◽  
pp. 1506-1521 ◽  
Author(s):  
Niels Drost ◽  
Rob V. van Nieuwpoort ◽  
Jason Maassen ◽  
Frank J. Seinstra ◽  
Henri E. Bal
Keyword(s):  
Distributed Systems ◽  
Real World ◽  
Peer To Peer

scholarly journals DEPENDABILITY EVALUATION OF CLUSTER-BASED DISTRIBUTED SYSTEMS

2011 ◽  
Vol 22 (05) ◽  
pp. 1123-1142 ◽  
Author(s):  
EMMANUELLE ANCEAUME ◽  
FRANCISCO BRASILEIRO ◽  
ROMARIC LUDINARD ◽  
BRUNO SERICOLA ◽  
FRÉDÉRIC TRONEL
Keyword(s):  
Distributed Systems ◽  
Overlay Networks ◽  
Stationary Regime ◽  
Peer To Peer ◽  
Distributed Hash Tables ◽  
Hash Tables ◽  
Malicious Nodes ◽  
Initial Amount ◽  
Dependability Evaluation ◽  
Byzantine Attacks

Awerbuch and Scheideler have shown that peer-to-peer overlay networks can survive Byzantine attacks only if malicious nodes are not able to predict what will be the topology of the network for a given sequence of join and leave operations. In this paper we investigate adversarial strategies by following specific protocols. Our analysis demonstrates first that an adversary can very quickly subvert overlays based on distributed hash tables by simply never triggering leave operations. We then show that when all nodes (honest and malicious ones) are imposed on a limited lifetime, the system eventually reaches a stationary regime where the ratio of polluted clusters is bounded, independently from the initial amount of corruption in the system.

Dynamic Knowledge Discovery in Open, Distributed and Multi-Ontology Systems

2006 ◽  
pp. 226-258 ◽  
Author(s):  
Silvana Castano ◽  
Alfio Ferrara ◽  
Stefano Montanelli
Keyword(s):  
Distributed Systems ◽  
Knowledge Discovery ◽  
Resource Discovery ◽  
Peer To Peer ◽  
Information Resources ◽  
Information Resource ◽  
Peer To Peer Networks ◽  
Open Distributed Systems ◽  
Ontology Metadata ◽  
Share Information

In open distributed systems like peer-to-peer networks and Grids, many independent peers, possibly spanned across multiple organizations, need to share information resources (e.g., data, documents, services) provided by other nodes. By dynamic knowledge discovery we mean the capability of each node of finding knowledge in the system about information resources that, at a given moment, best match the requirements of a request for given target resource(s). The chapter will focus on describing models and techniques for ontology metadata management and ontology-based dynamic knowledge discovery in open distributed systems, by describing the architecture of a toolkit for information resource discovery and sharing developed in the Helios peer-based system.

Beernet

2012 ◽  
pp. 282-304
Author(s):  
B. Mejías ◽  
P. Van Roy
Keyword(s):  
Distributed Systems ◽  
Large Scale ◽  
Single Point ◽  
Peer To Peer ◽  
Self Healing ◽  
Decentralized System ◽  
Large Scale Systems ◽  
Self Organized ◽  
Peer To Peer Networks ◽  
Control And Synchronization

Distributed systems with a centralized architecture present the well known problems of single point of failure and single point of congestion; therefore, they do not scale. Decentralized systems, especially as peer-to-peer networks, are gaining popularity because they scale well, and do not need a server to work. However, their complexity is higher due to the lack of a single point of control and synchronization, and because consistent decentralized storage is difficult to maintain when data constantly evolves. Self-management is a way of handling this higher complexity. In this paper, the authors present a decentralized system built with a structured overlay network that is self-organized and self-healing, providing a transactional replicated storage for small or large scale systems.

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