. DDH extends the idea of dynamic hashing algorithms to distributed systems. DDH spreads data across multiple servers in a network using a novel autonomous location discovery algorithm that learns the bucket locations instead of using a centralized directory. We describe the design and implementation of the basic DDH algorithm using networked computers. Performance results show that the prototype of DDH hashing is roughly equivalent to conventional single-node hashing implementations when compared with CPU time or elapsed time. Finally, possible improvements are suggested to the basic DDH algorithm for increased reliability and robustness. 1 Introduction Rapidly plunging hardware costs and increasing performance of CPUs and networks mean t...
Distributed Hash Table (DHT) systems are the basics for routing protocols in peer-to-peer network, s...
The extendible hash file is a dynamic data structure that is an alternative to B trees for use as a ...
High-performance analytical data processing systems often run on servers with large amounts of memor...
Distributed hash tables provide similar functionality to ordinary hash tables but they distribute st...
In spite of the amount of work recently devoted to distributed systems, distributed applications ar...
In this paper we present the design and implementation of DPH, a storage layer for cluster environme...
Abstract—High-performance analytical data processing sys-tems often run on servers with large amount...
LH * generalizes Linear Hsshing to parallel or distributed RAM and disk files. An LH * file can be c...
Distributed Hash Tables (DHTs) have been shown to be a promising form of decentralised structured pe...
Hashing algorithms long have been widely adopted to design a fast address look-up process which invo...
Hashing has long been recognized as a fast method for accessing records by key in large relatively s...
We make a case for a distributed hash table lookup in the network data plane. We argue that the look...
Abstract Linear Hashing is an efficient and widely used version of extensible hash-ing. LH ∗ is its ...
The extendible hash file is a dynamic data structure that is an alternative to B-trees for use as a...
The object of research is the methods of ensuring consistency in distributed systems. Distributed sy...
Distributed Hash Table (DHT) systems are the basics for routing protocols in peer-to-peer network, s...
The extendible hash file is a dynamic data structure that is an alternative to B trees for use as a ...
High-performance analytical data processing systems often run on servers with large amounts of memor...
Distributed hash tables provide similar functionality to ordinary hash tables but they distribute st...
In spite of the amount of work recently devoted to distributed systems, distributed applications ar...
In this paper we present the design and implementation of DPH, a storage layer for cluster environme...
Abstract—High-performance analytical data processing sys-tems often run on servers with large amount...
LH * generalizes Linear Hsshing to parallel or distributed RAM and disk files. An LH * file can be c...
Distributed Hash Tables (DHTs) have been shown to be a promising form of decentralised structured pe...
Hashing algorithms long have been widely adopted to design a fast address look-up process which invo...
Hashing has long been recognized as a fast method for accessing records by key in large relatively s...
We make a case for a distributed hash table lookup in the network data plane. We argue that the look...
Abstract Linear Hashing is an efficient and widely used version of extensible hash-ing. LH ∗ is its ...
The extendible hash file is a dynamic data structure that is an alternative to B-trees for use as a...
The object of research is the methods of ensuring consistency in distributed systems. Distributed sy...
Distributed Hash Table (DHT) systems are the basics for routing protocols in peer-to-peer network, s...
The extendible hash file is a dynamic data structure that is an alternative to B trees for use as a ...
High-performance analytical data processing systems often run on servers with large amounts of memor...