Quantifying and Improving I/O Predictability in Virtualized Systems

被引：0

作者：

Li, Cheng ^{[1
]}

Goiri, Inigo ^{[1
]}

Bhattacharjee, Abhishek ^{[1
]}

Bianchini, Ricardo ^{[1
]}

Nguyen, Thu D. ^{[1
]}

机构：

[1] Rutgers State Univ, Dept Comp Sci, Piscataway, NJ 08854 USA

来源：

2013 IEEE/ACM 21ST INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE (IWQOS) | 2013年

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Virtualization enables the consolidation of virtual machines (VMs) to increase the utilization of physical servers in Infrastructure-as-a-Service (IaaS) cloud providers. However, our experience shows that storage I/O performance varies wildly in the face of consolidation. Since many users may desire consistent performance, we argue that IaaS providers should offer a class of predictable-performance service in addition to existing (predictability-oblivious) services. Thus, we propose VirtualFence, a storage system that provides predictable VM performance. VirtualFence uses three main techniques: (1) non-work-conserving time-division I/O scheduling, (2) a small solid-state (SSD) cache in front of a much larger hard disk drive (HDD), and (3) space-partitioning of both the SSD cache and the HDD. Our evaluation shows that VirtualFence improves predictability significantly, while allowing cloud providers to reach any desired compromise between predictability and performance.

引用

页码：93 / 98

页数：6

共 50 条

[1] Improving disk I/O performance in a virtualized system
Li, Dingding
Jin, Hai
Liao, Xiaofei
Zhang, Yu
Zhou, Bingbing
JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 2013, 79 (02) : 187 - 200
[2] NUMA Aware I/O in Virtualized Systems
Banerjee, Amitabha
Mehta, Rishi
Shen, Zach
PROCEEDINGS 2015 IEEE 23RD ANNUAL SYMPOSIUM ON HIGH-PERFORMANCE INTERCONNECTS - HOTI 2015, 2015, : 10 - 17
[3] Improving Virtualized I/O Performance by Expanding the Polled I/O Path of Linux
Seo, Dongjoo
Joo, Yongsoo
Dutt, Nikil
PROCEEDINGS OF THE 2024 16TH ACM WORKSHOP ON HOT TOPICS IN STORAGE AND FILE SYSTEMS, HOTSTORAGE 2024, 2024, : 31 - 37
[4] I/O Performance Modeling of Virtualized Storage Systems
Noorshams, Qais
Rostami, Kiana
Kounev, Samuel
Tuma, Petr
Reussner, Ralf
2013 IEEE 21ST INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS & SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (MASCOTS 2013), 2013, : 121 - +
[5] Reducing Journaling Harm on Virtualized I/O Systems
Lee, Eunji
Bahn, Hyokyung
Jeong, Minseong
Kim, Sunghwan
Yeon, Jesung
Yoo, Seunghoon
Noh, Sam H.
Shin, Kang. G.
PROCEEDINGS OF THE 9TH ACM INTERNATIONAL SYSTEMS AND STORAGE CONFERENCE (SYSTOR'16), 2016,
[6] File Placing Control for Improving the I/O Performance of Hadoop in Virtualized Environment
Nakashima, Kenji
Fujishima, Eita
Yamaguchi, Saneyasu
2016 FOURTH INTERNATIONAL SYMPOSIUM ON COMPUTING AND NETWORKING (CANDAR), 2016, : 402 - 407
[7] Quantifying the predictability of renewable energy data for improving power systems decision-making
Karimi-Arpanahi, Sahand
Pourmousavi, S. Ali
Mahdavi, Nariman
PATTERNS, 2023, 4 (04):
[8] Automated Modeling of I/O Performance and Interference Effects in Virtualized Storage Systems
Noorshams, Qais
Busch, Axel
Rentschler, Andreas
Bruhn, Dominik
Kounev, Samuel
Tuma, Petr
Reussner, Ralf
2014 IEEE 34TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS (ICDCSW), 2014, : 88 - 93
[9] Visualizing I/O predictability
Luo, A
Amer, A
Speidel, S
Long, DDE
Pang, A
FIRST INTERNATIONAL SYMPOSIUM ON 3D DATA PROCESSING VISUALIZATION AND TRANSMISSION, 2002, : 202 - 207
[10] VSMT-IO: Improving I/O Performance and Efficiency on SMT Processors in Virtualized Clouds
Jia, Weiwei
Shan, Jianchen
Li, Tsz On
Shang, Xiaowei
Cui, Heming
Ding, Xiaoning
PROCEEDINGS OF THE 2020 USENIX ANNUAL TECHNICAL CONFERENCE, 2020, : 449 - 463

← 1 2 3 4 5 →