For typical workloads and file naming conventions, the size, lifespan, read/write ratio, and access pattern of nearly all files in a file system are accurately predicted by the name given to the file when it is created. We discuss some name-related properties observed in three contemporary NFS workloads, and present a method for automatically creating name-based models to predict interesting file properties of new files, and analyze the accuracy of these models for our workloads. Finally, we show how these predictions can be used as hints to optimize the strategies used by the file system to manage new files when they are created.Engineering and Applied Science
Music title identification is a key ingredient of contentbased electronic music distribution. Becaus...
Most modern I/O systems treat each file access independently. However, events in a computer system a...
Modern high end computing systems store hundreds of petabytes of data and have billions of files, as...
To tune and manage themselves, file and storage systems must understand key properties (e.g., access...
We present evidence that attributes that are known to the file system when a file is created, such a...
Network File System (NFS, de facto in Linux) or Common Internet File System (CIFS, de facto in Windo...
File names are one of the earliest computing abstractions, a string of characters to uniquely identi...
This paper presents a distributed, dynamic naming mechanism called clue tables for building highly s...
This study is an extension of research by J.M. Carroll (1982) on the naming of personal computer fil...
In this paper, we describe the collection and analysis of file system traces from a variety of diffe...
The foremost crucial step towards a fully automated Information Lifecycle Management (ILM) is to dif...
Abstract With the rapid incr system latency is an everaccess costs, which has modern operating syste...
Recent increases in CPU performance have surpassed those in hard drives. As a result, disk operation...
We describe a novel on-line file access predictor, Recent Popularity, capable of rapid adaptation to...
Recent increases in CPU performance have outpaced increases in hard drive performance. As a result, ...
Music title identification is a key ingredient of contentbased electronic music distribution. Becaus...
Most modern I/O systems treat each file access independently. However, events in a computer system a...
Modern high end computing systems store hundreds of petabytes of data and have billions of files, as...
To tune and manage themselves, file and storage systems must understand key properties (e.g., access...
We present evidence that attributes that are known to the file system when a file is created, such a...
Network File System (NFS, de facto in Linux) or Common Internet File System (CIFS, de facto in Windo...
File names are one of the earliest computing abstractions, a string of characters to uniquely identi...
This paper presents a distributed, dynamic naming mechanism called clue tables for building highly s...
This study is an extension of research by J.M. Carroll (1982) on the naming of personal computer fil...
In this paper, we describe the collection and analysis of file system traces from a variety of diffe...
The foremost crucial step towards a fully automated Information Lifecycle Management (ILM) is to dif...
Abstract With the rapid incr system latency is an everaccess costs, which has modern operating syste...
Recent increases in CPU performance have surpassed those in hard drives. As a result, disk operation...
We describe a novel on-line file access predictor, Recent Popularity, capable of rapid adaptation to...
Recent increases in CPU performance have outpaced increases in hard drive performance. As a result, ...
Music title identification is a key ingredient of contentbased electronic music distribution. Becaus...
Most modern I/O systems treat each file access independently. However, events in a computer system a...
Modern high end computing systems store hundreds of petabytes of data and have billions of files, as...