Distributed file systems that scale by partitioning files and directories among a collection of servers inevitably encounter crossserver operations. A common example is a RENAME that moves a file from a directory managed by one server to a directory managed by another. Systems that provide the same semantics for cross-server operations as for those that do not span servers traditionally implement dedicated protocols for these rare operations. This paper suggests an alternate approach that exploits the existence of dynamic redistribution functionality (e.g., for load balancing, incorporation of new servers, and so on). When a client request would involve files on multiple servers, the system can redistribute those files onto one server and h...
Computer technology has grown at a pace unrivaled by that of any other technology in history. Couple...
To meet the rigorous demands of large-scale data sharing in global collaborations, we present a repl...
Abstract—The trend in parallel computing toward clusters running thousands of cooperating processes ...
Current network file system protocols rely heavily on a central server to coordinate file activity a...
Distributed file systems need to provide for fault tolerance. This is typically achieved with the re...
Network file systems offer a powerful, transparent interface for accessing remote data. Unfortunatel...
One of the first uses of distributed client/server computing was in the realm of distributed file sy...
The Mammoth file system uses a collection of loosely coupled file servers to provide a highly avail...
Distributed file systems benefit greatly from optimistic replication that allows clients to update a...
distributed file service, namespace, resource aggregation, manageability Monolithic file servers are...
As mobile clients travel, their costs to reach home filing ser-vices change, with serious performanc...
The advent of wide-area high-speed networks provides the framework for deploying large scale applica...
Abstract—Distributed File Systems are file systems that allow access to files from multiple hosts vi...
Cloud computing is an upcoming era in software industry. It’s a very vast and developing technology....
© 2017 Copyright is held by the owner/author(s). It is challenging to simultaneously achieve multico...
Computer technology has grown at a pace unrivaled by that of any other technology in history. Couple...
To meet the rigorous demands of large-scale data sharing in global collaborations, we present a repl...
Abstract—The trend in parallel computing toward clusters running thousands of cooperating processes ...
Current network file system protocols rely heavily on a central server to coordinate file activity a...
Distributed file systems need to provide for fault tolerance. This is typically achieved with the re...
Network file systems offer a powerful, transparent interface for accessing remote data. Unfortunatel...
One of the first uses of distributed client/server computing was in the realm of distributed file sy...
The Mammoth file system uses a collection of loosely coupled file servers to provide a highly avail...
Distributed file systems benefit greatly from optimistic replication that allows clients to update a...
distributed file service, namespace, resource aggregation, manageability Monolithic file servers are...
As mobile clients travel, their costs to reach home filing ser-vices change, with serious performanc...
The advent of wide-area high-speed networks provides the framework for deploying large scale applica...
Abstract—Distributed File Systems are file systems that allow access to files from multiple hosts vi...
Cloud computing is an upcoming era in software industry. It’s a very vast and developing technology....
© 2017 Copyright is held by the owner/author(s). It is challenging to simultaneously achieve multico...
Computer technology has grown at a pace unrivaled by that of any other technology in history. Couple...
To meet the rigorous demands of large-scale data sharing in global collaborations, we present a repl...
Abstract—The trend in parallel computing toward clusters running thousands of cooperating processes ...