We are investigating the potential for intermediate file servers to address scaling problems in increasingly large distributed file systems. To this end, we have run trace-driven simulations based on data from DEC-SRC and our own data collection to determine the potential of caching-only intermediate servers. The degree of sharing among clients is central to the effectiveness of an intermediate server. This turns out to be quite low in the traces available to us. All told, fewer than 10% of block accesses are to files shared by more than one file system client. Trace-driven simulation shows that even with an infinite cache at the intermediate, cache hit rates are disappointingly low. For client caches as small as 20 MB, we observe hit rates...
This dissertation focuses on caching in distributed file systems, where the performance is constrain...
This paper analyzes recent research in the field of distributed file systems, with a particular emph...
The trend in parallel computing toward large-scale cluster computers running thousands of cooperatin...
This thesis explores ways in which intermediate cache servers affect the performance and scalability...
This paper presents the results of simulating file name and attribute caching on client machines in ...
Delayed write in a multilevel file system cache hierarchy offers a way to improve performance in div...
This paper presents the results of simulating file name and attribute caching on client machines in ...
Current network file system protocols rely heavily on a central server to coordinate file activity a...
v Abstract Caching has long been recognized as a powerful performance enhancement technique in many...
Effective file system caching reduces local disk accesses and remote file server accesses significan...
Caching has long been recognized as a powerful performance enhancement technique in many areas of co...
A component of the Institutional File System (IFS), the intermediate file server addresses scaling a...
Network file systems offer a powerful, transparent interface for accessing remote data. Unfortunatel...
Changing relative performance of processors, networks, and disks makes it necessary to reconsider al...
University (CMU) in the 1980’s [H+88]. Led by the well-known Profes-sorM. Satyanarayanan of Carnegie...
This dissertation focuses on caching in distributed file systems, where the performance is constrain...
This paper analyzes recent research in the field of distributed file systems, with a particular emph...
The trend in parallel computing toward large-scale cluster computers running thousands of cooperatin...
This thesis explores ways in which intermediate cache servers affect the performance and scalability...
This paper presents the results of simulating file name and attribute caching on client machines in ...
Delayed write in a multilevel file system cache hierarchy offers a way to improve performance in div...
This paper presents the results of simulating file name and attribute caching on client machines in ...
Current network file system protocols rely heavily on a central server to coordinate file activity a...
v Abstract Caching has long been recognized as a powerful performance enhancement technique in many...
Effective file system caching reduces local disk accesses and remote file server accesses significan...
Caching has long been recognized as a powerful performance enhancement technique in many areas of co...
A component of the Institutional File System (IFS), the intermediate file server addresses scaling a...
Network file systems offer a powerful, transparent interface for accessing remote data. Unfortunatel...
Changing relative performance of processors, networks, and disks makes it necessary to reconsider al...
University (CMU) in the 1980’s [H+88]. Led by the well-known Profes-sorM. Satyanarayanan of Carnegie...
This dissertation focuses on caching in distributed file systems, where the performance is constrain...
This paper analyzes recent research in the field of distributed file systems, with a particular emph...
The trend in parallel computing toward large-scale cluster computers running thousands of cooperatin...