Towards a Performance Model for Virtualised Multi-Tier Storage - PowerPoint PPT Presentation

Nov 29, 2023 •17 likes •87 views

Towards a Performance Model for Virtualised Multi-Tier Storage Systems Nicholas Dingle, Peter Harrison, William Knottenbelt, Abigail Lebrecht and Soraya Zertal Department of Computing, Imperial College London, UK AESOP Group:

Towards a Performance Model for Virtualised Multi-Tier Storage Systems Nicholas Dingle, Peter Harrison, William Knottenbelt, Abigail Lebrecht and Soraya Zertal Department of Computing, Imperial College London, UK AESOP Group: http://aesop.doc.ic.ac.uk
Project This work contributes towards: iPODS: Intelligent Performance Optimisation of Virtualised Data Storage Systems Project Objective: Strategies for Data Placement and Data Migration Project Partners: Sponsored by Ref: EP/F010192/1
Project Overview Disk Model Virtualised Tiered Storage System Model RAID Model
Initial Results: Zoned Disk model Measured and modelled cumulative distribution functions of data transfer time for 100MB requests. Measurements are taken from a single 7200rpm 500GB SATA Seagate disk (ST3500630NS).
Initial Results: RAID 0-1 Measured and modelled cumulative distribution functions of RAID 0-1 read (left) and write (right) requests. Measurements are taken from an Infortrend A16F-G2430 RAID system containing 4 Seagate ST3500630NS disks, with a stripe width of 128kB.
Initial Results: RAID 5 Measured and modelled cumulative distribution functions of RAID 5 read (left) and write (right) requests.
Thank You Contact: {asl102,njd200,pgh,wjk}@doc.ic.ac.uk, zertal@prism.uvsq.fr AESOP Group: http://aesop.doc.ic.ac.uk

Download Presentation

Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

The M 3 (Measure-Measure-Model) Tool-Chain for Performance Prediction of Multi-tier Applications

The M 3 (Measure-Measure-Model) Tool-Chain for Performance Prediction of Multi-tier Applications Devidas Gawali Varsha Apte Department of Computer Science and Engineering Indian Institute of Technology, Bombay, India. { devidas,varsha }

252 views • 23 slides

The 4-tier model for CAMHS Very specialist Services, often Tier 4 children away from home

The 4-tier model for CAMHS Very specialist Services, often Tier 4 children away from home Specialist Multi-disciplinary Tier 3 Teams Individual Professionals Trained Tier 2 in Children and Young Peoples Mental Health eg

452 views • 14 slides

iPODS: Intelligent Performance Optimisation of Virtualised Data Storage Systems Nick Dingle,

iPODS: Intelligent Performance Optimisation of Virtualised Data Storage Systems Nick Dingle, Peter Harrison, William Knottenbelt, Abigail Lebrecht and Soraya Zertal { njd200,pgh,wjk,asl102 } @doc.ic.ac.uk, zertal@prism.uvsq.fr Department of

327 views • 16 slides

Design of Multi-tier Wireless Mesh Issues in Wireless Network Design Networks Multi-tier Wless

Design of Wireless Mesh Networks Outline Introduction Design of Multi-tier Wireless Mesh Issues in Wireless Network Design Networks Multi-tier Wless Design Solution Approach Stage 1: AP-assignment Capacity of WLANs Raghuraman Rangarajan

1.44k views • 116 slides

Tier 2 in 2 A summary in 2 minutes or less Robin Long June 19, 2018 Status I Site capacity:

Tier 2 in 2 A summary in 2 minutes or less Robin Long June 19, 2018 Status I Site capacity: 5000 cores, 2.5PB disk Shared cluster Oppertunistic use of local resources. Plenty of expansion room. Most services virtualised

517 views • 3 slides

FOR LIVE PROGRAM ONLY Section 743(b) Adjustments in Multi-Tier Partnerships: Applying Rev. Rul.

FOR LIVE PROGRAM ONLY Section 743(b) Adjustments in Multi-Tier Partnerships: Applying Rev. Rul. 87-115 to Upper- and Lower-Tier Entities TUESDAY , JUNE 20, 2017, 1:00-2:50 pm Eastern IMPORTANT INFORMATION FOR THE LIVE PROGRAM This program is

959 views • 69 slides

Performance, Q1-Q3 Tier 1 assisted information 8,906 (9,000 expected) Leicester Advice

Performance, Q1-Q3 Tier 1 assisted information 8,906 (9,000 expected) Leicester Advice Service Tier 2 generalist advice Helen Child, City Operations Director 3, 284 (4,950 target) LeicesterShire Citizens Advice Bureau

214 views • 3 slides

Multi-Tier Dispute Resolution Clauses Definition and Examples ASA Conference Henry Peter |

Multi-Tier Dispute Resolution Clauses Definition and Examples ASA Conference Henry Peter | Stefanie Pfisterer September 15, 2017 | Definition Multi-tier dispute resolution clauses provide for a dispute resolution mechanism using

447 views • 11 slides

Service-Oriented Trust and Reputation Management System for Multi-Tier Cloud Hasen Nicanfar, S.

Service-Oriented Trust and Reputation Management System for Multi-Tier Cloud Service-Oriented Trust and Reputation Management System for Multi-Tier Cloud Hasen Nicanfar, S. Mohsen Amiri, Chunsheng Zhu, Peyman TalebiFard, Victor C.M. Leung, Panos

395 views • 13 slides

The Non-Compliance with Multi- Tier Dispute Resolution Clauses: Switzerland and Germany ASA

The Non-Compliance with Multi- Tier Dispute Resolution Clauses: Switzerland and Germany ASA Conference Bern, 15 September 2017 Dr. Christian Oetiker, LL.M., Attorney at Law, VISCHER AG Switzerland BSW Online Marketing und Recht 2 Overview

473 views • 16 slides

Dela lay-Driven Layer Assignment in in Glo lobal Routing under Multi-tier In Interconnect Str

Dela lay-Driven Layer Assignment in in Glo lobal Routing under Multi-tier In Interconnect Str tructure ISPD-2013 Jianchang Ao*, Sheqin Dong* Song Chen, Satoshi Goto *Dept. of Computer Sci. & Tech., Tsinghua U China U of Sci.

588 views • 31 slides

Swiss Mining Conference Building The Next Multi-Asset Mid-Tier March 21-22, 2018 TSX:TGZ /

Swiss Mining Conference Building The Next Multi-Asset Mid-Tier March 21-22, 2018 TSX:TGZ / OTCQX:TGCDF West African Gold Producer Sepanta Dorri Vice President, Corporate & Stakeholder Development 2 Forward-Looking Statements This

687 views • 29 slides

Tumbling Down the Rabbit Hole: Exploring the Idiosyncrasies of Botmaster Systems in a Multi-Tier

Tumbling Down the Rabbit Hole: Exploring the Idiosyncrasies of Botmaster Systems in a Multi-Tier Botnet Infrastructure Chris Nunnery Greg Sinclair Brent ByungHoon Kang [ University of North Carolina at Charlotte ] Wednesday, April 28, 2010

702 views • 21 slides

Multi- -gas Model Analysis on gas Model Analysis on Multi stabilization scenarios

Multi- -gas Model Analysis on gas Model Analysis on Multi stabilization scenarios stabilization scenarios Junichi Fujino NIES, Japan The 9th AIM International Workshop; 12-13, March 2004 National Institute for Environmental Studies,

547 views • 20 slides

WHAT ARE TIER 1, 2, 3 WATERS Tier 1 impaired Tier 2 fishable, swimmable, drinkable

WHAT ARE TIER 1, 2, 3 WATERS Tier 1 impaired Tier 2 fishable, swimmable, drinkable Tier 3 DEC Fact Sheet What are the nomina,on criteria? How is each nomina,on evaluated? Who decides? LEGISLATIVE

350 views • 5 slides

121 London Building a Multi-Asset Mid-Tier May 17-18, 2018 TSX:TGZ / OTCQX:TGCDF West African

121 London Building a Multi-Asset Mid-Tier May 17-18, 2018 TSX:TGZ / OTCQX:TGCDF West African Gold Producer Richard Young President & Chief Executive Officer 2 Forward-Looking Statements All information included in this presentation,

651 views • 36 slides

Foundations of Chemical Kinetics Lecture 21: Master equations and rates of reaction Marc R.

Foundations of Chemical Kinetics Lecture 21: Master equations and rates of reaction Marc R. Roussel Department of Chemistry and Biochemistry Cumulative probability distributions Suppose that we have a probability distribution, say P s ,

378 views • 14 slides

Introduction to statistics: Foundations Shravan Vasishth Universit at Potsdam

Lecture 1 Introduction to statistics: Foundations Shravan Vasishth Universit at Potsdam vasishth@uni-potsdam.de http://www.ling.uni-potsdam.de/ vasishth April 12, 2020 1/ 32 Lecture 1 Random variables, pdfs, cdfs The definition of a

580 views • 32 slides

Compliance Tracking T ool Activity Entry and Progress Monitoring November 2012 1 Login

Compliance Tracking T ool Activity Entry and Progress Monitoring November 2012 1 Login Add an Activity Progress Monitoring Verify Correction of Noncompliance 2 Compliance Tracking T ool Address

747 views • 36 slides

CSCI 490 Bioinformatics Multiple Sequence Alignment Multiple Sequence Alignment Motivation:

CSCI 490 Bioinformatics Multiple Sequence Alignment Multiple Sequence Alignment Motivation: A faint similarity between two sequences becomes very significant if present in many sequences Definition Given N sequences x 1 , x 2

626 views • 30 slides

Outline Outline 2 Joint Cumulative Distribution Function (4.1, Joint Cumulative

Outline Outline 2 Joint Cumulative Distribution Function (4.1, Joint Cumulative Distribution Function (4.1, Y&G) Joint Probability Mass Function (4.2, Y&G) Joint Probabilit Mass F nction (4 2 Y&G) 204312 PROBABILITY

456 views • 6 slides

CS 147: Computer Systems Performance Analysis Review of Statistics 1 / 26 15 Concepts

CS147 2015-06-15 CS 147: Computer Systems Performance Analysis Review of Statistics CS 147: Computer Systems Performance Analysis Review of Statistics 1 / 26 15 Concepts Introduction to Statistics CS147 Introduction to Statistics

642 views • 27 slides

Variance; Continuous Random Variables 18.05 Spring 2014 Jeremy Orloff and Jonathan Bloom Variance

Variance; Continuous Random Variables 18.05 Spring 2014 Jeremy Orloff and Jonathan Bloom Variance and standard deviation X a discrete random variable with mean E ( X ) = . Meaning: spread of probability mass about the mean. Definition as

420 views • 26 slides

CSE 143 ADTs: Great Idea, but... How do we actually get modularity, abstraction, ADTs, black

CSE 143 ADTs: Great Idea, but... How do we actually get modularity, abstraction, ADTs, black boxes, etc. in our Classes programs? How do we actually encapsulate? Main programming construct: the class [Chapter 3, pp. 125-131]

58 views • 4 slides