Topic
Specfs
About: Specfs is a research topic. Over the lifetime, 185 publications have been published within this topic receiving 5097 citations.
Papers published on a yearly basis
Papers
TL;DR: The core ideas, data structures, and algorithms of BTRFS are described, which sheds light on the challenges posed by defragmentation in the presence of snapshots, and the tradeoffs required to maintain even performance in the face of a wide spectrum of workloads.
Abstract: BTRFS is a Linux filesystem that has been adopted as the default filesystem in some popular versions of Linux. It is based on copy-on-write, allowing for efficient snapshots and clones. It uses B-trees as its main on-disk data structure. The design goal is to work well for many use cases and workloads. To this end, much effort has been directed to maintaining even performance as the filesystem ages, rather than trying to support a particular narrow benchmark use-case.Linux filesystems are installed on smartphones as well as enterprise servers. This entails challenges on many different fronts.---Scalability. The filesystem must scale in many dimensions: disk space, memory, and CPUs.---Data integrity. Losing data is not an option, and much effort is expended to safeguard the content. This includes checksums, metadata duplication, and RAID support built into the filesystem.---Disk diversity. The system should work well with SSDs and hard disks. It is also expected to be able to use an array of different sized disks, which poses challenges to the RAID and striping mechanisms.This article describes the core ideas, data structures, and algorithms of this filesystem. It sheds light on the challenges posed by defragmentation in the presence of snapshots, and the tradeoffs required to maintain even performance in the face of a wide spectrum of workloads.
456 citations
Patent•
5 Sep 2013
TL;DR: In this paper, the authors present techniques for executing a cloud command for a distributed filesystem, where two or more cloud controllers collectively manage distributed filesystem data that is stored in one or more Cloud storage systems; the cloud controllers ensure data consistency for the stored data, and each cloud controller caches portions of the distributed filesystem.
Abstract: The disclosed embodiments disclose techniques for executing a cloud command for a distributed filesystem. Two or more cloud controllers collectively manage distributed filesystem data that is stored in one or more cloud storage systems; the cloud controllers ensure data consistency for the stored data, and each cloud controller caches portions of the distributed filesystem. During operation, a cloud controller presents a distributed-filesystem-specific capability to a client system as a file in the distributed filesystem (e.g., using a file abstraction). Upon receiving a request from the client system to access and/or operate upon this file, the client controller executes an associated cloud command. More specifically, the cloud controller initiates a specially-defined operation that accesses additional functionality for the distributed filesystem that exceeds the scope of individual reads and writes to a typical data file.
221 citations
Patent•
12 Sep 1996
TL;DR: In this article, a log device is coupled in the logical data transfer path between a storage device, which provides for the storage of file and system data within a main filesystem layout, and a computer system.
Abstract: A log device is coupled in the logical data transfer path between a storage device, which provides for the storage of file and system data within a main filesystem layout, and a computer system. The log device provides for the storage of the file and system data within a log structured filesystem layout. A control program is executed to manage the storage of file and system data in data segments in the log device filesystem and to selectively transfer the file and system data from the log device to the storage device. The control program utilizes location data provided in the file and system data to identify a destination storage location for the file and system data within the main filesystem layout.
190 citations
Patent•
3 Oct 2006
TL;DR: A filesystem can be converted to a different version by creating a new data structure according to a new format of the different version and transforming the data from the filesystem to the new data structures as mentioned in this paper.
Abstract: A filesystem can be converted to a different version by creating a new data structure according to a new format of the different version and transforming the data from the filesystem to the new data structure. Transforming the data can include changing the format of the data in the filesystem to be compatible with the new data structure format. The data may be incorporated into the new data structure by copying the data, or creating indirect reference mechanisms to point to the original data.
157 citations
Patent•
5 Sep 2013
TL;DR: In this paper, the authors disclose techniques that facilitate the process of performing anti-virus checks for a distributed filesystem, where two or more cloud controllers collectively manage distributed filesystem data, and each cloud controller caches portions of the distributed filesystem.
Abstract: The disclosed embodiments disclose techniques that facilitate the process of performing anti-virus checks for a distributed filesystem. Two or more cloud controllers collectively manage distributed filesystem data that is stored in one or more cloud storage systems; the cloud controllers ensure data consistency for the stored data, and each cloud controller caches portions of the distributed filesystem. During operation, a cloud controller receives a write request from a client system that seeks to store a target file in the distributed system. A scan is then performed for this target file. For instance, the scan may be an anti-virus scan that ensures that viruses are not spread to the distributed filesystem or the clients of the distributed filesystem.
141 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2017 | 1 |
| 2016 | 2 |
| 2015 | 12 |
| 2014 | 10 |
| 2013 | 15 |
| 2012 | 14 |