Compiler-Assisted Binary Parsing

Size: px
Start display at page:

Download "Compiler-Assisted Binary Parsing"

Transcription

1 Compiler-Assisted Binary Parsing Tugrul Ince PD Week March 2012

2 Parsing Binary Files Binary analysis is common for o Performance modeling o Computer security o Maintenance o Binary modification Parsing: first step in most binary analyses o Not straight-forward o Time consuming 2

3 Objective Improve parsing speed and accuracy Store more data in binary files o Basic block locations o Edge information (source, target, type) Binary analysis tools read this extra information o Create basic block, edge, and finally CFG abstractions 3

4 Difficulties in Parsing Distinguishing code and data Disassembly is tricky o Identifying functions o Finding instruction boundaries Variable-length instruction set architectures Building Control Flow Graphs o Identify Basic Block boundaries o Identify edges between basic blocks 4

5 Compiler Assistance for Parsing Developed new compilation mechanism o Wrappers for GNU compiler suite (gcc/g++) o Transparent to the end user Support most standard flags o Pass flags to underlying system compiler o Intercept output flags (-c, -S, -o, etc.) Augments binary files with tables o Basic Block Table o Edge Table 5

6 Compiler Infrastructure Analyze intermediate assembly files o Generate information about basic blocks and edges o Store in a section that is not loaded at runtime 6

7 Basic Block -Edge Tables 7

8 Assembly Modification Function Model o Block of code o o.size Modifications o Add Basic Block and Edge Tables o Add shadow symbol 8

9 Merge Duplicate Functions Weak functions are merged by linker o Functions included multiple times o Binary code might slightly differ o Only one weak function survives Tables cannot be merged o Need to uniquely match functions and tables o Use shadow symbol in function to extract file name o Use file name and function name to identify tables 9

10 Reconstruction Binary analysis tools operate on executables directly o No interaction with the compiler 10

11 Reconstruction Parsing a functions involves: o Finding the shadow symbol stored in the function File name is extracted o Locating Basic Block and Edge Tables with the function name and file name pair o Reading in the tables o Adding function start address to offsets o Creating basic block and edge abstractions No need to parse individual instructions 11

12 Benchmarks o SPEC CINT2006 o PETSc snes package o Firefox (v ) Systems Evaluation o 64-bit Linux machines o server: 24-core Intel Xeon, 48 GB total memory o laptop: AMD Turion, 2 GB total memory Methodology o Executed running time experiments 5 times o Reporting mean 12

13 Normalized Parsing Time SPEC CINT Benchmark GNU Tables astar bzip gcc gobmk h264ref hmmer Benchmark GNU Tables libquantum mcf omnetpp perlbench sjeng Xalan

14 Normalized Parsing Time PETScsnesPackage 1 Benchmark GNU Tables 0.9 ex ex ex ex1f ex ex ex ex ex Benchmark GNU Tables ex ex ex ex ex ex ex ex Benchmark GNU Tables ex34f ex ex ex ex5f ex5f ex ex

15 Normalized Parsing Time Firefox Version Benchmark GNU Tables firefox libbrowsercomps libdbusservice libfreebl libmozalloc libmozgnome libmozsqlite Benchmark GNU Tables libnkgnomevfs libnspr libnss libnssckbi libnssdbm libnssutil Benchmark GNU Tables libplc libplds libsmime libsoftokn libssl libxpcom

16 Build Time Metrics File Size Without Debug With Debug Compilation Time SPEC CINT x 1.38x 1.25x PETSc 1.50x 1.09x 1.32x Firefox 1.17x 1.21x 1.13x OVERALL 1.63x 1.23x 1.23x File size increase on disk o Not reflected to memory footprint Small increase in compilation time o One time cost o Not reflected to running time performance 16

17 Runtime Metrics Memory Footprint Running Time SPEC CINT x 0.97x PETSc 1.00x 0.95x Firefox 1.00x 0.94x OVERALL 1.00x 0.95x Virtually no change in runtime metrics o Memory requirement is almost constant o Change in running time is within noise Hard to measure Firefox running time o No workload o Use V8 Benchmark 17

18 V8 Benchmarks for Firefox V8 Benchmark Value Firefox with gcc Firefox with our mechanism V8: JavaScript benchmark o Higher scores are better o Cannot be converted to time No significant change in performance 18

19 Limitations / Future Work Hand-written assembly o When branches use offsets in assembly 2n more symbols (n: number of functions) Compilation takes 23% more time o Integrate compilation mechanism into gcc File size increases o Compress tables about 78% compression ratio 19

20 Conclusion Developed a new compilation mechanism o Creates Basic Block and Edge Tables o Transparent to end user Improved parsing speed o On average 73% decrease in parsing time o No memory or runtime overhead 20

Performance Characterization of SPEC CPU2006 Integer Benchmarks on x86-64 64 Architecture

Performance Characterization of SPEC CPU2006 Integer Benchmarks on x86-64 64 Architecture Performance Characterization of SPEC CPU2006 Integer Benchmarks on x86-64 64 Architecture Dong Ye David Kaeli Northeastern University Joydeep Ray Christophe Harle AMD Inc. IISWC 2006 1 Outline Motivation

More information

Analysis of Memory Sensitive SPEC CPU2006 Integer Benchmarks for Big Data Benchmarking

Analysis of Memory Sensitive SPEC CPU2006 Integer Benchmarks for Big Data Benchmarking Analysis of Memory Sensitive SPEC CPU2006 Integer Benchmarks for Big Data Benchmarking Kathlene Hurt and Eugene John Department of Electrical and Computer Engineering University of Texas at San Antonio

More information

Reducing Dynamic Compilation Latency

Reducing Dynamic Compilation Latency LLVM 12 - European Conference, London Reducing Dynamic Compilation Latency Igor Böhm Processor Automated Synthesis by iterative Analysis The University of Edinburgh LLVM 12 - European Conference, London

More information

Virtualisierung im HPC-Kontext - Werkstattbericht

Virtualisierung im HPC-Kontext - Werkstattbericht Center for Information Services and High Performance Computing (ZIH) Virtualisierung im HPC-Kontext - Werkstattbericht ZKI Tagung AK Supercomputing 19. Oktober 2015 Ulf Markwardt +49 351-463 33640 ulf.markwardt@tu-dresden.de

More information

Secure Cloud Computing: The Monitoring Perspective

Secure Cloud Computing: The Monitoring Perspective Secure Cloud Computing: The Monitoring Perspective Peng Liu Penn State University 1 Cloud Computing is Less about Computer Design More about Use of Computing (UoC) CPU, OS, VMM, PL, Parallel computing

More information

Achieving QoS in Server Virtualization

Achieving QoS in Server Virtualization Achieving QoS in Server Virtualization Intel Platform Shared Resource Monitoring/Control in Xen Chao Peng (chao.p.peng@intel.com) 1 Increasing QoS demand in Server Virtualization Data center & Cloud infrastructure

More information

Computer Architecture

Computer Architecture Computer Architecture Slide Sets WS 2013/2014 Prof. Dr. Uwe Brinkschulte M.Sc. Benjamin Betting Part 6 Fundamentals in Performance Evaluation Computer Architecture Part 6 page 1 of 22 Prof. Dr. Uwe Brinkschulte,

More information

Running Virtual Machines in a Slurm Batch System

Running Virtual Machines in a Slurm Batch System Center for Information Services and High Performance Computing (ZIH) Running Virtual Machines in a Slurm Batch System Slurm User Group Meeting September 2015 Ulf Markwardt +49 351-463 33640 ulf.markwardt@tu-dresden.de

More information

Comparison of Processor Performance of SPECint2006 Benchmarks of some Intel Xeon Processors

Comparison of Processor Performance of SPECint2006 Benchmarks of some Intel Xeon Processors Comparison of Processor Performance of SPECint2006 Benchmarks of some Intel Xeon Processors Abdul Kareem PARCHUR * and Ram Asaray SINGH Department of Physics and Electronics, Dr. H. S. Gour University,

More information

Selective Hardware/Software Memory Virtualization

Selective Hardware/Software Memory Virtualization Selective Hardware/Software Memory Virtualization Xiaolin Wang Dept. of Computer Science and Technology, Peking University, Beijing, China, 100871 wxl@pku.edu.cn Jiarui Zang Dept. of Computer Science and

More information

An OS-oriented performance monitoring tool for multicore systems

An OS-oriented performance monitoring tool for multicore systems An OS-oriented performance monitoring tool for multicore systems J.C. Sáez, J. Casas, A. Serrano, R. Rodríguez-Rodríguez, F. Castro, D. Chaver, M. Prieto-Matias Department of Computer Architecture Complutense

More information

Full and Para Virtualization

Full and Para Virtualization Full and Para Virtualization Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF x86 Hardware Virtualization The x86 architecture offers four levels

More information

How Much Power Oversubscription is Safe and Allowed in Data Centers?

How Much Power Oversubscription is Safe and Allowed in Data Centers? How Much Power Oversubscription is Safe and Allowed in Data Centers? Xing Fu 1,2, Xiaorui Wang 1,2, Charles Lefurgy 3 1 EECS @ University of Tennessee, Knoxville 2 ECE @ The Ohio State University 3 IBM

More information

IDEA: A New Intrusion Detection Data Source

IDEA: A New Intrusion Detection Data Source IDEA: A New Intrusion Detection Data Source William Mahoney, William Sousan Peter Kiewit Institute, University of Nebraska at Omaha 6001 Dodge Street, Omaha, Nebraska 68182-0500 {wmahoney,wsousan}@unomaha.edu

More information

DELL VS. SUN SERVERS: R910 PERFORMANCE COMPARISON SPECint_rate_base2006

DELL VS. SUN SERVERS: R910 PERFORMANCE COMPARISON SPECint_rate_base2006 DELL VS. SUN SERVERS: R910 PERFORMANCE COMPARISON OUR FINDINGS The latest, most powerful Dell PowerEdge servers deliver better performance than Sun SPARC Enterprise servers. In Principled Technologies

More information

Fine-Grained User-Space Security Through Virtualization. Mathias Payer and Thomas R. Gross ETH Zurich

Fine-Grained User-Space Security Through Virtualization. Mathias Payer and Thomas R. Gross ETH Zurich Fine-Grained User-Space Security Through Virtualization Mathias Payer and Thomas R. Gross ETH Zurich Motivation Applications often vulnerable to security exploits Solution: restrict application access

More information

CPU PERFORMANCE COMPARISON OF TWO CLOUD SOLUTIONS: VMWARE VCLOUD HYBRID SERVICE AND MICROSOFT AZURE

CPU PERFORMANCE COMPARISON OF TWO CLOUD SOLUTIONS: VMWARE VCLOUD HYBRID SERVICE AND MICROSOFT AZURE CPU PERFORMANCE COMPARISON OF TWO CLOUD SOLUTIONS: VMWARE VCLOUD HYBRID SERVICE AND MICROSOFT AZURE Businesses are rapidly transitioning to the public cloud to take advantage of on-demand resources and

More information

RISC-V Software Ecosystem. Andrew Waterman UC Berkeley waterman@eecs.berkeley.edu!

RISC-V Software Ecosystem. Andrew Waterman UC Berkeley waterman@eecs.berkeley.edu! RISC-V Software Ecosystem Andrew Waterman UC Berkeley waterman@eecs.berkeley.edu! 2 Tethered vs. Standalone Systems Tethered systems are those that cannot stand alone - They depend on a host system to

More information

Full Speed Ahead: Detailed Architectural Simulation at Near-Native Speed

Full Speed Ahead: Detailed Architectural Simulation at Near-Native Speed 1 Full Speed Ahead: Detailed Architectural Simulation at Near-Native Speed Andreas Sandberg Erik Hagersten David Black-Schaffer Abstract Popular microarchitecture simulators are typically several orders

More information

SIGMOD RWE Review Towards Proximity Pattern Mining in Large Graphs

SIGMOD RWE Review Towards Proximity Pattern Mining in Large Graphs SIGMOD RWE Review Towards Proximity Pattern Mining in Large Graphs Fabian Hueske, TU Berlin June 26, 21 1 Review This document is a review report on the paper Towards Proximity Pattern Mining in Large

More information

Oracle Database Reliability, Performance and scalability on Intel Xeon platforms Mitch Shults, Intel Corporation October 2011

Oracle Database Reliability, Performance and scalability on Intel Xeon platforms Mitch Shults, Intel Corporation October 2011 Oracle Database Reliability, Performance and scalability on Intel platforms Mitch Shults, Intel Corporation October 2011 1 Intel Processor E7-8800/4800/2800 Product Families Up to 10 s and 20 Threads 30MB

More information

The Effect of Input Data on Program Vulnerability

The Effect of Input Data on Program Vulnerability The Effect of Input Data on Program Vulnerability Vilas Sridharan and David R. Kaeli Department of Electrical and Computer Engineering Northeastern University {vilas, kaeli}@ece.neu.edu I. INTRODUCTION

More information

Streamline Computing Linux Cluster User Training. ( Nottingham University)

Streamline Computing Linux Cluster User Training. ( Nottingham University) 1 Streamline Computing Linux Cluster User Training ( Nottingham University) 3 User Training Agenda System Overview System Access Description of Cluster Environment Code Development Job Schedulers Running

More information

HPSA Agent Characterization

HPSA Agent Characterization HPSA Agent Characterization Product HP Server Automation (SA) Functional Area Managed Server Agent Release 9.0 Page 1 HPSA Agent Characterization Quick Links High-Level Agent Characterization Summary...

More information

Benchmarking the Amazon Elastic Compute Cloud (EC2)

Benchmarking the Amazon Elastic Compute Cloud (EC2) Benchmarking the Amazon Elastic Compute Cloud (EC2) A Major Qualifying Project Report submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE in partial fulfillment of the requirements for the

More information

System Requirements Table of contents

System Requirements Table of contents Table of contents 1 Introduction... 2 2 Knoa Agent... 2 2.1 System Requirements...2 2.2 Environment Requirements...4 3 Knoa Server Architecture...4 3.1 Knoa Server Components... 4 3.2 Server Hardware Setup...5

More information

icer Bioinformatics Support Fall 2011

icer Bioinformatics Support Fall 2011 icer Bioinformatics Support Fall 2011 John B. Johnston HPC Programmer Institute for Cyber Enabled Research 2011 Michigan State University Board of Trustees. Institute for Cyber Enabled Research (icer)

More information

THeME: A System for Testing by Hardware Monitoring Events

THeME: A System for Testing by Hardware Monitoring Events THeME: A System for Testing by Hardware Monitoring Events Kristen Walcott-Justice University of Virginia Charlottesville, VA USA walcott@cs.virginia.edu Jason Mars University of Virginia Charlottesville,

More information

Performance Evaluation of VMXNET3 Virtual Network Device VMware vsphere 4 build 164009

Performance Evaluation of VMXNET3 Virtual Network Device VMware vsphere 4 build 164009 Performance Study Performance Evaluation of VMXNET3 Virtual Network Device VMware vsphere 4 build 164009 Introduction With more and more mission critical networking intensive workloads being virtualized

More information

Demystifying Deduplication for Backup with the Dell DR4000

Demystifying Deduplication for Backup with the Dell DR4000 Demystifying Deduplication for Backup with the Dell DR4000 This Dell Technical White Paper explains how deduplication with the DR4000 can help your organization save time, space, and money. John Bassett

More information

AgencyPortal v5.1 Performance Test Summary Table of Contents

AgencyPortal v5.1 Performance Test Summary Table of Contents AgencyPortal v5.1 Performance Test Summary Table of Contents 1. Testing Approach 2 2. Server Profiles 3 3. Software Profiles 3 4. Server Benchmark Summary 4 4.1 Account Template 4 4.1.1 Response Time 4

More information

PERFORMANCE TOOLS DEVELOPMENTS

PERFORMANCE TOOLS DEVELOPMENTS PERFORMANCE TOOLS DEVELOPMENTS Roberto A. Vitillo presented by Paolo Calafiura & Wim Lavrijsen Lawrence Berkeley National Laboratory Future computing in particle physics, 16 June 2011 1 LINUX PERFORMANCE

More information

Carlos Villavieja, Nacho Navarro {cvillavi,nacho}@ac.upc.edu. Arati Baliga, Liviu Iftode {aratib,liviu}@cs.rutgers.edu

Carlos Villavieja, Nacho Navarro {cvillavi,nacho}@ac.upc.edu. Arati Baliga, Liviu Iftode {aratib,liviu}@cs.rutgers.edu Continuous Monitoring using MultiCores Carlos Villavieja, Nacho Navarro {cvillavi,nacho}@ac.upc.edu Arati Baliga, Liviu Iftode {aratib,liviu}@cs.rutgers.edu Motivation Intrusion detection Intruder gets

More information

GRIDCENTRIC VMS TECHNOLOGY VDI PERFORMANCE STUDY

GRIDCENTRIC VMS TECHNOLOGY VDI PERFORMANCE STUDY GRIDCENTRIC VMS TECHNOLOGY VDI PERFORMANCE STUDY TECHNICAL WHITE PAPER MAY 1 ST, 2012 GRIDCENTRIC S VIRTUAL MEMORY STREAMING (VMS) TECHNOLOGY SIGNIFICANTLY IMPROVES THE COST OF THE CLASSIC VIRTUAL MACHINE

More information

Virtualization for Cloud Computing

Virtualization for Cloud Computing Virtualization for Cloud Computing Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF CLOUD COMPUTING On demand provision of computational resources

More information

Oracle Database Scalability in VMware ESX VMware ESX 3.5

Oracle Database Scalability in VMware ESX VMware ESX 3.5 Performance Study Oracle Database Scalability in VMware ESX VMware ESX 3.5 Database applications running on individual physical servers represent a large consolidation opportunity. However enterprises

More information

Gadge Me If You Can Secure and Efficient Ad-hoc Instruction-Level Randomization for x86 and ARM

Gadge Me If You Can Secure and Efficient Ad-hoc Instruction-Level Randomization for x86 and ARM Gadge Me If You Can Secure and Efficient Ad-hoc Instruction-Level Randomization for x86 and ARM Lucas Davi 1,2, Alexandra Dmitrienko 3, Stefan Nürnberger 2, Ahmad-Reza Sadeghi 1,2,3 1 2 3 Intel Collaborative

More information

Performance Monitoring of the Software Frameworks for LHC Experiments

Performance Monitoring of the Software Frameworks for LHC Experiments Proceedings of the First EELA-2 Conference R. mayo et al. (Eds.) CIEMAT 2009 2009 The authors. All rights reserved Performance Monitoring of the Software Frameworks for LHC Experiments William A. Romero

More information

Improving Job Scheduling by using Machine Learning & Yet an another SLURM simulator. David Glesser, Yiannis Georgiou (BULL) Denis Trystram(LIG)

Improving Job Scheduling by using Machine Learning & Yet an another SLURM simulator. David Glesser, Yiannis Georgiou (BULL) Denis Trystram(LIG) Improving Job Scheduling by using Machine Learning & Yet an another SLURM simulator David Glesser, Yiannis Georgiou (BULL) Denis Trystram(LIG) Improving Job Scheduling by using Machine Learning & Yet an

More information

Maximizing Hadoop Performance and Storage Capacity with AltraHD TM

Maximizing Hadoop Performance and Storage Capacity with AltraHD TM Maximizing Hadoop Performance and Storage Capacity with AltraHD TM Executive Summary The explosion of internet data, driven in large part by the growth of more and more powerful mobile devices, has created

More information

Drupal Performance Tuning

Drupal Performance Tuning Drupal Performance Tuning By Jeremy Zerr Website: http://www.jeremyzerr.com @jrzerr http://www.linkedin.com/in/jrzerr Overview Basics of Web App Systems Architecture General Web

More information

CPU Performance Evaluation: Cycles Per Instruction (CPI) Most computers run synchronously utilizing a CPU clock running at a constant clock rate:

CPU Performance Evaluation: Cycles Per Instruction (CPI) Most computers run synchronously utilizing a CPU clock running at a constant clock rate: CPU Performance Evaluation: Cycles Per Instruction (CPI) Most computers run synchronously utilizing a CPU clock running at a constant clock rate: Clock cycle where: Clock rate = 1 / clock cycle f = 1 /C

More information

GUEST OPERATING SYSTEM BASED PERFORMANCE COMPARISON OF VMWARE AND XEN HYPERVISOR

GUEST OPERATING SYSTEM BASED PERFORMANCE COMPARISON OF VMWARE AND XEN HYPERVISOR GUEST OPERATING SYSTEM BASED PERFORMANCE COMPARISON OF VMWARE AND XEN HYPERVISOR ANKIT KUMAR, SAVITA SHIWANI 1 M. Tech Scholar, Software Engineering, Suresh Gyan Vihar University, Rajasthan, India, Email:

More information

1 Review Information About this Guide

1 Review Information About this Guide Oracle Database Client Quick Installation Guide 11g Release 2 (11.2) for Microsoft Windows x64 (64-Bit) E49700-03 December 2014 This guide describes how to quickly install the Oracle Database Client product

More information

Performance Characteristics of VMFS and RDM VMware ESX Server 3.0.1

Performance Characteristics of VMFS and RDM VMware ESX Server 3.0.1 Performance Study Performance Characteristics of and RDM VMware ESX Server 3.0.1 VMware ESX Server offers three choices for managing disk access in a virtual machine VMware Virtual Machine File System

More information

BENCHMARKING CLOUD DATABASES CASE STUDY on HBASE, HADOOP and CASSANDRA USING YCSB

BENCHMARKING CLOUD DATABASES CASE STUDY on HBASE, HADOOP and CASSANDRA USING YCSB BENCHMARKING CLOUD DATABASES CASE STUDY on HBASE, HADOOP and CASSANDRA USING YCSB Planet Size Data!? Gartner s 10 key IT trends for 2012 unstructured data will grow some 80% over the course of the next

More information

umps software development

umps software development Laboratorio di Sistemi Operativi Anno Accademico 2006-2007 Software Development with umps Part 2 Mauro Morsiani Software development with umps architecture: Assembly language development is cumbersome:

More information

Laboratorio di Sistemi Operativi Anno Accademico 2009-2010

Laboratorio di Sistemi Operativi Anno Accademico 2009-2010 Laboratorio di Sistemi Operativi Anno Accademico 2009-2010 Software Development with umps Part 2 Mauro Morsiani Copyright Permission is granted to copy, distribute and/or modify this document under the

More information

EEM 486: Computer Architecture. Lecture 4. Performance

EEM 486: Computer Architecture. Lecture 4. Performance EEM 486: Computer Architecture Lecture 4 Performance EEM 486 Performance Purchasing perspective Given a collection of machines, which has the» Best performance?» Least cost?» Best performance / cost? Design

More information

Chapter 14 Analyzing Network Traffic. Ed Crowley

Chapter 14 Analyzing Network Traffic. Ed Crowley Chapter 14 Analyzing Network Traffic Ed Crowley 10 Topics Finding Network Based Evidence Network Analysis Tools Ethereal Reassembling Sessions Using Wireshark Network Monitoring Intro Once full content

More information

1/20/2016 INTRODUCTION

1/20/2016 INTRODUCTION INTRODUCTION 1 Programming languages have common concepts that are seen in all languages This course will discuss and illustrate these common concepts: Syntax Names Types Semantics Memory Management We

More information

IaaS Performance and Value Analysis A study of performance among 14 top public cloud infrastructure providers

IaaS Performance and Value Analysis A study of performance among 14 top public cloud infrastructure providers IaaS Performance and Value Analysis A study of performance among top public cloud infrastructure providers By Cloud Spectator and the Cloud Advisory Council October 5, 3 Table of Contents Executive Summary

More information

Evaluation of ESX Server Under CPU Intensive Workloads

Evaluation of ESX Server Under CPU Intensive Workloads Evaluation of ESX Server Under CPU Intensive Workloads Terry Wilcox Phil Windley, PhD {terryw, windley}@cs.byu.edu Computer Science Department, Brigham Young University Executive Summary Virtual machines

More information

UT69R000 MicroController Software Tools Product Brief

UT69R000 MicroController Software Tools Product Brief Military Standard Products UT69R000 MicroController Software Tools Product Brief July 1996 Introduction The UT69R000 MicroController Software Tools consist of a C Compiler (GCC), a RISC assembler (), a

More information

Multi-Threading Performance on Commodity Multi-Core Processors

Multi-Threading Performance on Commodity Multi-Core Processors Multi-Threading Performance on Commodity Multi-Core Processors Jie Chen and William Watson III Scientific Computing Group Jefferson Lab 12000 Jefferson Ave. Newport News, VA 23606 Organization Introduction

More information

Lecture 36: Chapter 6

Lecture 36: Chapter 6 Lecture 36: Chapter 6 Today s topic RAID 1 RAID Redundant Array of Inexpensive (Independent) Disks Use multiple smaller disks (c.f. one large disk) Parallelism improves performance Plus extra disk(s) for

More information

Intel Cloud Builders Guide to Cloud Design and Deployment on Intel Platforms

Intel Cloud Builders Guide to Cloud Design and Deployment on Intel Platforms Intel Cloud Builders Guide Intel Xeon Processor-based Servers RES Virtual Desktop Extender Intel Cloud Builders Guide to Cloud Design and Deployment on Intel Platforms Client Aware Cloud with RES Virtual

More information

Metrics for Success: Performance Analysis 101

Metrics for Success: Performance Analysis 101 Metrics for Success: Performance Analysis 101 February 21, 2008 Kuldip Oberoi Developer Tools Sun Microsystems, Inc. 1 Agenda Application Performance Compiling for performance Profiling for performance

More information

Virtuoso and Database Scalability

Virtuoso and Database Scalability Virtuoso and Database Scalability By Orri Erling Table of Contents Abstract Metrics Results Transaction Throughput Initializing 40 warehouses Serial Read Test Conditions Analysis Working Set Effect of

More information

Tips for Performance. Running PTC Creo Elements Pro 5.0 (Pro/ENGINEER Wildfire 5.0) on HP Z and Mobile Workstations

Tips for Performance. Running PTC Creo Elements Pro 5.0 (Pro/ENGINEER Wildfire 5.0) on HP Z and Mobile Workstations System Memory - size and layout Optimum performance is only possible when application data resides in system RAM. Waiting on slower disk I/O page file adversely impacts system and application performance.

More information

Improved Virtualization Performance with 9th Generation Servers

Improved Virtualization Performance with 9th Generation Servers Improved Virtualization Performance with 9th Generation Servers David J. Morse Dell, Inc. August 2006 Contents Introduction... 4 VMware ESX Server 3.0... 4 SPECjbb2005... 4 BEA JRockit... 4 Hardware/Software

More information

Parallels VDI Solution

Parallels VDI Solution Parallels VDI Solution White Paper VDI SIZING A Competitive Comparison of VDI Solution Sizing between Parallels VDI versus VMware VDI www.parallels.com Parallels VDI Sizing. 29 Table of Contents Overview...

More information

Outline. hardware components programming environments. installing Python executing Python code. decimal and binary notations running Sage

Outline. hardware components programming environments. installing Python executing Python code. decimal and binary notations running Sage Outline 1 Computer Architecture hardware components programming environments 2 Getting Started with Python installing Python executing Python code 3 Number Systems decimal and binary notations running

More information

Virtualization in Linux a Key Component for Cloud Computing

Virtualization in Linux a Key Component for Cloud Computing Virtualization in Linux a Key Component for Cloud Computing Harrison Carranza a and Aparicio Carranza a a Computer Engineering Technology New York City College of Technology of The City University of New

More information

MAGENTO HOSTING Progressive Server Performance Improvements

MAGENTO HOSTING Progressive Server Performance Improvements MAGENTO HOSTING Progressive Server Performance Improvements Simple Helix, LLC 4092 Memorial Parkway Ste 202 Huntsville, AL 35802 sales@simplehelix.com 1.866.963.0424 www.simplehelix.com 2 Table of Contents

More information

FlashSoft for VMware vsphere VM Density Test

FlashSoft for VMware vsphere VM Density Test FlashSoft for VMware vsphere This document supports FlashSoft for VMware vsphere, version 3.0. Copyright 2012 SanDisk Corporation. ALL RIGHTS RESERVED. This document contains material protected under International

More information

Very Large Enterprise Network, Deployment, 25000+ Users

Very Large Enterprise Network, Deployment, 25000+ Users Very Large Enterprise Network, Deployment, 25000+ Users Websense software can be deployed in different configurations, depending on the size and characteristics of the network, and the organization s filtering

More information

Transparent Optimization of Grid Server Selection with Real-Time Passive Network Measurements. Marcia Zangrilli and Bruce Lowekamp

Transparent Optimization of Grid Server Selection with Real-Time Passive Network Measurements. Marcia Zangrilli and Bruce Lowekamp Transparent Optimization of Grid Server Selection with Real-Time Passive Network Measurements Marcia Zangrilli and Bruce Lowekamp Overview Grid Services Grid resources modeled as services Define interface

More information

Replication on Virtual Machines

Replication on Virtual Machines Replication on Virtual Machines Siggi Cherem CS 717 November 23rd, 2004 Outline 1 Introduction The Java Virtual Machine 2 Napper, Alvisi, Vin - DSN 2003 Introduction JVM as state machine Addressing non-determinism

More information

Building a More Efficient Data Center from Servers to Software. Aman Kansal

Building a More Efficient Data Center from Servers to Software. Aman Kansal Building a More Efficient Data Center from Servers to Software Aman Kansal Data centers growing in number, Microsoft has more than 10 and less than 100 DCs worldwide Quincy Chicago Dublin Amsterdam Japan

More information

Power Efficiency Comparison: Cisco UCS 5108 Blade Server Chassis and IBM FlexSystem Enterprise Chassis

Power Efficiency Comparison: Cisco UCS 5108 Blade Server Chassis and IBM FlexSystem Enterprise Chassis White Paper Power Efficiency Comparison: Cisco UCS 5108 Blade Server Chassis and IBM FlexSystem Enterprise Chassis White Paper March 2014 2014 Cisco and/or its affiliates. All rights reserved. This document

More information

Practical taint analysis for protecting buggy binaries

Practical taint analysis for protecting buggy binaries Practical taint analysis for protecting buggy binaries So your exploit beats ASLR/DEP? I don't care Erik Bosman Traditional Stack Smashing buf[16] GET / HTTP/1.100baseretnarg1arg2 Traditional

More information

Rally Installation Guide

Rally Installation Guide Rally Installation Guide Rally On-Premises release 2015.1 rallysupport@rallydev.com www.rallydev.com Version 2015.1 Table of Contents Overview... 3 Server requirements... 3 Browser requirements... 3 Access

More information

Efficient Parallel Execution of Sequence Similarity Analysis Via Dynamic Load Balancing

Efficient Parallel Execution of Sequence Similarity Analysis Via Dynamic Load Balancing Efficient Parallel Execution of Sequence Similarity Analysis Via Dynamic Load Balancing James D. Jackson Philip J. Hatcher Department of Computer Science Kingsbury Hall University of New Hampshire Durham,

More information

MySQL and Virtualization Guide

MySQL and Virtualization Guide MySQL and Virtualization Guide Abstract This is the MySQL and Virtualization extract from the MySQL Reference Manual. For legal information, see the Legal Notices. For help with using MySQL, please visit

More information

CS510 Software Engineering

CS510 Software Engineering CS510 Software Engineering Dynamic Program Analysis Asst. Prof. Mathias Payer Department of Computer Science Purdue University TA: Scott A. Carr Slides inspired by Xiangyu Zhang http://nebelwelt.net/teaching/15-cs510-se

More information

09'Linux Plumbers Conference

09'Linux Plumbers Conference 09'Linux Plumbers Conference Data de duplication Mingming Cao IBM Linux Technology Center cmm@us.ibm.com 2009 09 25 Current storage challenges Our world is facing data explosion. Data is growing in a amazing

More information

SGI. High Throughput Computing (HTC) Wrapper Program for Bioinformatics on SGI ICE and SGI UV Systems. January, 2012. Abstract. Haruna Cofer*, PhD

SGI. High Throughput Computing (HTC) Wrapper Program for Bioinformatics on SGI ICE and SGI UV Systems. January, 2012. Abstract. Haruna Cofer*, PhD White Paper SGI High Throughput Computing (HTC) Wrapper Program for Bioinformatics on SGI ICE and SGI UV Systems Haruna Cofer*, PhD January, 2012 Abstract The SGI High Throughput Computing (HTC) Wrapper

More information

HP ProLiant DL585 G5 earns #1 virtualization performance record on VMmark Benchmark

HP ProLiant DL585 G5 earns #1 virtualization performance record on VMmark Benchmark HP ProLiant DL585 G5 earns #1 virtualization performance record on VMmark Benchmark HP Leadership»The HP ProLiant DL585 G5 is a highly manageable, rack optimized, four-socket server designed for maximum

More information

Virtual machines and operating systems

Virtual machines and operating systems V i r t u a l m a c h i n e s a n d o p e r a t i n g s y s t e m s Virtual machines and operating systems Krzysztof Lichota lichota@mimuw.edu.pl A g e n d a Virtual machines and operating systems interactions

More information

The Impact of Memory Subsystem Resource Sharing on Datacenter Applications. Lingia Tang Jason Mars Neil Vachharajani Robert Hundt Mary Lou Soffa

The Impact of Memory Subsystem Resource Sharing on Datacenter Applications. Lingia Tang Jason Mars Neil Vachharajani Robert Hundt Mary Lou Soffa The Impact of Memory Subsystem Resource Sharing on Datacenter Applications Lingia Tang Jason Mars Neil Vachharajani Robert Hundt Mary Lou Soffa Introduction Problem Recent studies into the effects of memory

More information

RVDS 3.x with Eclipse IDE

RVDS 3.x with Eclipse IDE RVDS 3.x with Eclipse IDE Title Keywords Abstract Integrated Development Environment Eclipse and RVDS Eclipse, RVDS This is a guide for setting up RVDS development environment on the basis of Eclipse IDE.

More information

Pattern Insight Clone Detection

Pattern Insight Clone Detection Pattern Insight Clone Detection TM The fastest, most effective way to discover all similar code segments What is Clone Detection? Pattern Insight Clone Detection is a powerful pattern discovery technology

More information

Applying Data Analysis to Big Data Benchmarks. Jazmine Olinger

Applying Data Analysis to Big Data Benchmarks. Jazmine Olinger Applying Data Analysis to Big Data Benchmarks Jazmine Olinger Abstract This paper describes finding accurate and fast ways to simulate Big Data benchmarks. Specifically, using the currently existing simulation

More information

Implementation of a Purely Hardware-assisted VMM for x86 Architecture

Implementation of a Purely Hardware-assisted VMM for x86 Architecture Implementation of a Purely Hardware-assisted VMM for x86 Architecture Saidalavi Kalady, Dileep P G, Krishanu Sikdar, Sreejith B S, Vinaya Surya, Ezudheen P Abstract Virtualization is a technique for efficient

More information

Power Efficiency Comparison: Cisco UCS 5108 Blade Server Chassis and Dell PowerEdge M1000e Blade Enclosure

Power Efficiency Comparison: Cisco UCS 5108 Blade Server Chassis and Dell PowerEdge M1000e Blade Enclosure White Paper Power Efficiency Comparison: Cisco UCS 5108 Blade Server Chassis and Dell PowerEdge M1000e Blade Enclosure White Paper March 2014 2014 Cisco and/or its affiliates. All rights reserved. This

More information

Comparison of Windows IaaS Environments

Comparison of Windows IaaS Environments Comparison of Windows IaaS Environments Comparison of Amazon Web Services, Expedient, Microsoft, and Rackspace Public Clouds January 5, 215 TABLE OF CONTENTS Executive Summary 2 vcpu Performance Summary

More information

CODE FACTORING IN GCC ON DIFFERENT INTERMEDIATE LANGUAGES

CODE FACTORING IN GCC ON DIFFERENT INTERMEDIATE LANGUAGES Annales Univ. Sci. Budapest., Sect. Comp. 30 (2009) 79-95 CODE FACTORING IN GCC ON DIFFERENT INTERMEDIATE LANGUAGES Cs. Nagy, G. Lóki, Á. Beszédes and T. Gyimóthy (Szeged, Hungary) Abstract. Today as handheld

More information

I Control Your Code Attack Vectors Through the Eyes of Software-based Fault Isolation. Mathias Payer, ETH Zurich

I Control Your Code Attack Vectors Through the Eyes of Software-based Fault Isolation. Mathias Payer, ETH Zurich I Control Your Code Attack Vectors Through the Eyes of Software-based Fault Isolation Mathias Payer, ETH Zurich Motivation Applications often vulnerable to security exploits Solution: restrict application

More information

OPERATING SYSTEM - MEMORY MANAGEMENT

OPERATING SYSTEM - MEMORY MANAGEMENT OPERATING SYSTEM - MEMORY MANAGEMENT http://www.tutorialspoint.com/operating_system/os_memory_management.htm Copyright tutorialspoint.com Memory management is the functionality of an operating system which

More information

Process-Level Virtualization for Runtime Adaptation of Embedded Software

Process-Level Virtualization for Runtime Adaptation of Embedded Software Process-Level Virtualization for Runtime Adaptation of Embedded Software Kim Hazelwood Department of Computer Science University of Virginia ABSTRACT Modern processor architectures call for software that

More information

ProTrack: A Simple Provenance-tracking Filesystem

ProTrack: A Simple Provenance-tracking Filesystem ProTrack: A Simple Provenance-tracking Filesystem Somak Das Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology das@mit.edu Abstract Provenance describes a file

More information

Performance and Energy Efficiency of. Hadoop deployment models

Performance and Energy Efficiency of. Hadoop deployment models Performance and Energy Efficiency of Hadoop deployment models Contents Review: What is MapReduce Review: What is Hadoop Hadoop Deployment Models Metrics Experiment Results Summary MapReduce Introduced

More information

NoSQL Performance Test In-Memory Performance Comparison of SequoiaDB, Cassandra, and MongoDB

NoSQL Performance Test In-Memory Performance Comparison of SequoiaDB, Cassandra, and MongoDB bankmark UG (haftungsbeschränkt) Bahnhofstraße 1 9432 Passau Germany www.bankmark.de info@bankmark.de T +49 851 25 49 49 F +49 851 25 49 499 NoSQL Performance Test In-Memory Performance Comparison of SequoiaDB,

More information

Testing for Security

Testing for Security Testing for Security Kenneth Ingham September 29, 2009 1 Course overview The threat that security breaches present to your products and ultimately your customer base can be significant. This course is

More information

Control Flow Obfuscation with Information Flow Tracking

Control Flow Obfuscation with Information Flow Tracking Control Flow Obfuscation with Information Flow Tracking Haibo Chen, Liwei Yuan, Xi Wu, Binyu Zang Parallel Processing Institute Fudan University {hbchen, yuanliwei, wuxi, byzang}@fudan.edu.cn Bo Huang

More information

Operating System Impact on SMT Architecture

Operating System Impact on SMT Architecture Operating System Impact on SMT Architecture The work published in An Analysis of Operating System Behavior on a Simultaneous Multithreaded Architecture, Josh Redstone et al., in Proceedings of the 9th

More information

Wide-area Network Acceleration for the Developing World. Sunghwan Ihm (Princeton) KyoungSoo Park (KAIST) Vivek S. Pai (Princeton)

Wide-area Network Acceleration for the Developing World. Sunghwan Ihm (Princeton) KyoungSoo Park (KAIST) Vivek S. Pai (Princeton) Wide-area Network Acceleration for the Developing World Sunghwan Ihm (Princeton) KyoungSoo Park (KAIST) Vivek S. Pai (Princeton) POOR INTERNET ACCESS IN THE DEVELOPING WORLD Internet access is a scarce

More information

VirtualCenter Database Performance for Microsoft SQL Server 2005 VirtualCenter 2.5

VirtualCenter Database Performance for Microsoft SQL Server 2005 VirtualCenter 2.5 Performance Study VirtualCenter Database Performance for Microsoft SQL Server 2005 VirtualCenter 2.5 VMware VirtualCenter uses a database to store metadata on the state of a VMware Infrastructure environment.

More information