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  1. ACM SIGOPS Operating Systems Review (OPSR)
  2. Volume 50
  3. Volume 50, Issue 3, December 2016
  4. Iris
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Volume 51
Volume 50
Volume 50, Issue 3, December 2016
Performance and Scalability of Storage Systems, a view from the WOPSSS Workshop
Iris
Evaluation and Performance Modeling of a Burst Buffer Solution
Integrating I/Os in Cloudsim for Performance and Energy Estimation
Using file system counters in modelling parallel I/O architectures
Volume 50, Issue 2, June 2016
Volume 50, Issue 1, January 2016
Volume 49
Volume 48
Volume 47
Volume 46
Volume 45
Volume 44
Volume 43
Volume 42
Volume 41
Volume 40
Volume 39
Volume 38
Volume 37
Volume 36
Volume 35
Volume 34
Volume 33
Volume 32
Volume 31
Volume 30
Volume 29
Volume 28
Volume 27
Volume 26
Volume 25
Volume 24
Volume 23
Volume 22
Volume 21
Volume 20
Volume 19
Volume 18
Volume 17
Volume 16
Volume 15
Volume 14
Volume 13
Volume 12
Volume 11
Volume 10
Volume 9
Volume 8
Volume 7
Volume 6
Volume 5
Volume 4
Volume 3

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Iris:An optimized I/O stack for low-latency storage devices

Content Provider ACM Digital Library
Author Bilas, Angelos Marazakis, Manolis Papagiannis, Anastasios Saloustros, Giorgos
Abstract System software overheads in the I/O path, including VFS and file system code, become more pronounced with emerging low-latency storage devices. Currently, these overheads constitute the main bottleneck in the I/O path and they limit efficiency of modern storage systems. In this paper we present a taxonomy of the current state-of-the-art systems on accelerating accesses to fast storage devices. Furthermore, we present Iris, a new I/O path for applications, that minimizes overheads from system software in the common I/O path. The main idea is the separation of the control and data planes. The control plane consists of an unmodified Linux kernel and is responsible for handling data plane initialization and the normal processing path through the kernel for non-file related operations. The data plane is a lightweight mechanism to provide direct access to storage devices with minimum overheads and without sacrificing strong protection semantics. Iris requires neither hardware support from the storage devices nor changes in user applications. We evaluate our early prototype and we find that it achieves on a single core up to 1:7x and 2:2x better read and write random IOPS, respectively, compared to the XFS and EXT4 file systems. It also scales with the number of cores; using 4 cores Iris achieves 1:84x and 1:96x better read and write random IOPS, respectively. In sequential reads we provide similar performance and in sequential writes we are about 20% better compared to other file systems.
Starting Page 3
Ending Page 11
Page Count 9
File Format PDF
ISSN 01635980
DOI 10.1145/3041710.3041713
Journal ACM SIGOPS Operating Systems Review (OPSR)
Volume Number 50
Issue Number 3
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 1975-04-01
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Nvm Storage systems I/o Low latency Protection
Content Type Text
Resource Type Article
Subject Computer Networks and Communications Hardware and Architecture Information Systems
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