Red Hat Enterprise Linux 7 Power Management Guide
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Certified Ubuntu on Joyent Cloud
Certied Ubuntu on Joyent Cloud Ubuntu is the most popular Linux OS in the cloud. Every Joyent and Canonical share a focus and passion for open day, users choose Ubuntu for its performance, reliability and source technology. Joyent has been supporting key open robust ecosystem of tools and applications. As Joyent source projects such as SmartOS and Node.js for years and customers deploy their mission-critical and essential Canonical is the company driving the evolution and support of applications to the Joyent Cloud the importance of having a Ubuntu. By combining the uniquely powerful Joyent Cloud certied version of Ubuntu that is consistent and fully service with the best of breed Linux as a certied option backed by Canonical in their data center, private cloud or Joyent customers can enjoy the best possible user public cloud is essential. Joyent customers get the experience available in cloud. assurance that the Ubuntu they trust to run their business is highly optimized,fully secure and eligible for support and Accelerate your applications today! upgrade services from Canonical. à www.joyent.com à www.ubuntu.com/cloud/ecosystem Certied Ubuntu Value Enhancements for Joyent Users Ubuntu Cloud images, tuned and tested for the Joyent environment Stock Kernel • All kernel patches, drivers, tools and packages By using Stock Kernel for each release we have gained a faster boot • Timely image updates including critical bug xes and security time, increased overall performance, and a wider application usage updates such as supporting Docker out of the box. • Eligible for support from Canonical through Ubuntu Advantage Cloud-Init Cloud Image Quality Assurance Cloud-Init is the multi CSP system that handles early initialization of a • Joyent specic testing atop the Ubuntu Server testing cloud instance. -
The Cloud‐Based Demand‐Driven Supply Chain
The Cloud-Based Demand-Driven Supply Chain Wiley & SAS Business Series The Wiley & SAS Business Series presents books that help senior-level managers with their critical management decisions. Titles in the Wiley & SAS Business Series include: The Analytic Hospitality Executive by Kelly A. McGuire Analytics: The Agile Way by Phil Simon Analytics in a Big Data World: The Essential Guide to Data Science and Its Applications by Bart Baesens A Practical Guide to Analytics for Governments: Using Big Data for Good by Marie Lowman Bank Fraud: Using Technology to Combat Losses by Revathi Subramanian Big Data Analytics: Turning Big Data into Big Money by Frank Ohlhorst Big Data, Big Innovation: Enabling Competitive Differentiation through Business Analytics by Evan Stubbs Business Analytics for Customer Intelligence by Gert Laursen Business Intelligence Applied: Implementing an Effective Information and Communications Technology Infrastructure by Michael Gendron Business Intelligence and the Cloud: Strategic Implementation Guide by Michael S. Gendron Business Transformation: A Roadmap for Maximizing Organizational Insights by Aiman Zeid Connecting Organizational Silos: Taking Knowledge Flow Management to the Next Level with Social Media by Frank Leistner Data-Driven Healthcare: How Analytics and BI Are Transforming the Industry by Laura Madsen Delivering Business Analytics: Practical Guidelines for Best Practice by Evan Stubbs ii Demand-Driven Forecasting: A Structured Approach to Forecasting, Second Edition by Charles Chase Demand-Driven Inventory -
Enea® Linux 4.0 Release Information
Enea® Linux 4.0 Release Information 4.0-docupdate1 Enea® Linux 4.0 Release Information Enea® Linux 4.0 Release Information Copyright Copyright © Enea Software AB 2014. This User Documentation consists of confidential information and is protected by Trade Secret Law. This notice of copyright does not indicate any actual or intended publication of this information. Except to the extent expressly stipulated in any software license agreement covering this User Documentation and/or corresponding software, no part of this User Documentation may be reproduced, transmitted, stored in a retrieval system, or translated, in any form or by any means, without the prior written permission of Enea Software AB. However, permission to print copies for personal use is hereby granted. Disclaimer The information in this User Documentation is subject to change without notice, and unless stipulated in any software license agreement covering this User Documentation and/or corresponding software, should not be construed as a commitment of Enea Software AB. Trademarks Enea®, Enea OSE®, and Polyhedra® are the registered trademarks of Enea AB and its subsidiaries. Enea OSE®ck, Enea OSE® Epsilon, Enea® Element, Enea® Optima, Enea® Linux, Enea® LINX, Enea® LWRT, Enea® Accelerator, Polyhedra® Flash DBMS, Polyhedra® Lite, Enea® dSPEED, Accelerating Network Convergence™, Device Software Optimized™, and Embedded for Leaders™ are unregistered trademarks of Enea AB or its subsidiaries. Any other company, product or service names mentioned in this document are the registered or unregistered trade- marks of their respective owner. Acknowledgements and Open Source License Conditions Information is found in the Release Information manual. © Enea Software AB 2014 4.0-docupdate1 ii Enea® Linux 4.0 Release Information Table of Contents 1 - About This Release ..................................................................................................... -
Cloud Computing: a Taxonomy of Platform and Infrastructure-Level Offerings David Hilley College of Computing Georgia Institute of Technology
Cloud Computing: A Taxonomy of Platform and Infrastructure-level Offerings David Hilley College of Computing Georgia Institute of Technology April 2009 Cloud Computing: A Taxonomy of Platform and Infrastructure-level Offerings David Hilley 1 Introduction Cloud computing is a buzzword and umbrella term applied to several nascent trends in the turbulent landscape of information technology. Computing in the “cloud” alludes to ubiquitous and inexhaustible on-demand IT resources accessible through the Internet. Practically every new Internet-based service from Gmail [1] to Amazon Web Services [2] to Microsoft Online Services [3] to even Facebook [4] have been labeled “cloud” offerings, either officially or externally. Although cloud computing has garnered significant interest, factors such as unclear terminology, non-existent product “paper launches”, and opportunistic marketing have led to a significant lack of clarity surrounding discussions of cloud computing technology and products. The need for clarity is well-recognized within the industry [5] and by industry observers [6]. Perhaps more importantly, due to the relative infancy of the industry, currently-available product offerings are not standardized. Neither providers nor potential consumers really know what a “good” cloud computing product offering should look like and what classes of products are appropriate. Consequently, products are not easily comparable. The scope of various product offerings differ and overlap in complicated ways – for example, Ama- zon’s EC2 service [7] and Google’s App Engine [8] partially overlap in scope and applicability. EC2 is more flexible but also lower-level, while App Engine subsumes some functionality in Amazon Web Services suite of offerings [2] external to EC2. -
Walmart & Azure
Microsoft Azure: The Ultimate Flexible Enterprise-Level Solution Janet Bailey, PhD Bradley Jensen, PhD University of Arkansas at Little Rock Microsoft Corporation Background Project Assignment Evaluate the Value and Fit of Azure for Walmart Initiator Steven Lamey, Senior Business Manager, Walmart Corporation UALR Student Team 4 Graduates / 2 Undergraduates Time Frame 8 months (4 months research & development) Faculty Mentor Industry Support Janet Bailey, PhD Bradley Jensen, PhD UALR Student Team with Walmart and Microsoft Executives Corporate World’s largest Headquarters corporation Bentonville, AR 1962 $421.849 billion annual sales 2010 Brazil In 15 countries Asia >8,500 stores worldwide > 2.1 million associates worldwide India Walmart employs 1% of America US stores visited by 100 million customers every week In other words, 1/3 of America goes to Walmart every week!! > 1million customer transactions every hour databases estimated > 2.5 petabytes—the equivalent of 167 times the books in America’s Library of Congress So why did Walmart start considering Cloud Computing 2011? Dangerous to not #1 strategic have a cloud strategy technology initiative Gartner Initially, Walmart thought they needed a cloud provider that could/would… Meet Walmart’s massive processing/storage capacity requirements Provide a flexible application development environment Provide information on the cloud architecture Allow for secure access to data outside of the corporate firewall We found they also required… Fast and easy scalability An environment that supports -
Linux Kernel and Driver Development Training Slides
Linux Kernel and Driver Development Training Linux Kernel and Driver Development Training © Copyright 2004-2021, Bootlin. Creative Commons BY-SA 3.0 license. Latest update: October 9, 2021. Document updates and sources: https://bootlin.com/doc/training/linux-kernel Corrections, suggestions, contributions and translations are welcome! embedded Linux and kernel engineering Send them to [email protected] - Kernel, drivers and embedded Linux - Development, consulting, training and support - https://bootlin.com 1/470 Rights to copy © Copyright 2004-2021, Bootlin License: Creative Commons Attribution - Share Alike 3.0 https://creativecommons.org/licenses/by-sa/3.0/legalcode You are free: I to copy, distribute, display, and perform the work I to make derivative works I to make commercial use of the work Under the following conditions: I Attribution. You must give the original author credit. I Share Alike. If you alter, transform, or build upon this work, you may distribute the resulting work only under a license identical to this one. I For any reuse or distribution, you must make clear to others the license terms of this work. I Any of these conditions can be waived if you get permission from the copyright holder. Your fair use and other rights are in no way affected by the above. Document sources: https://github.com/bootlin/training-materials/ - Kernel, drivers and embedded Linux - Development, consulting, training and support - https://bootlin.com 2/470 Hyperlinks in the document There are many hyperlinks in the document I Regular hyperlinks: https://kernel.org/ I Kernel documentation links: dev-tools/kasan I Links to kernel source files and directories: drivers/input/ include/linux/fb.h I Links to the declarations, definitions and instances of kernel symbols (functions, types, data, structures): platform_get_irq() GFP_KERNEL struct file_operations - Kernel, drivers and embedded Linux - Development, consulting, training and support - https://bootlin.com 3/470 Company at a glance I Engineering company created in 2004, named ”Free Electrons” until Feb. -
Fixing USB Autosuspend Serge Y
Fixing USB Autosuspend Serge Y. Stroobandt Copyright 2015–2017, licensed under Creative Commons BY-NC-SA Problem The Linux kernel automatically suspends USB de- vices when there is driver support and the devices are not in use.1 This saves quite a bit of power. How- ever, some USB devices are not compatible with USB autosuspend and will misbehave at some point. Af- fected devices are most commonly USB mice and keyboards.2 Personally,I had only one Microsoft™ Wheel Mouse Optical affected, despitewning o other mod- els of the same brand. In essence, this is not really a USB hardware problem, but perhaps more a Lin- ux problem. The actual fault lies with a misinterpretation of the eXtensible Host Controller Interface (xHCI) specification. This issueviousl pre y did not exist with the older Enhanced Host Controller Interface (EHCI) specification. A «Sharp» explanation is available online.3 The Linux kernel patch for this problem will probably one day automatically trickle in downstream and onto my affectedubuntu X LTS 14.04 system. Nonetheless, with a crashing computer mouse at hand, things cannot wait. However, patching my current 3.13.0-35-generic x86_64 kernel is out of the question! We will rather grab this opportunity to learn a bit about writing rules for udev , the device manager for the Linux kernel. I am writing “for the Linux kernel”, because udev executes entirely in user space. Identify the device First, one needs to properly identify the affected USBvice de by its vendor and product ID. Run the following command and look for the device description. -
Joyent Smart Architecture for Cloud Computing RC1
The Joyent Smart Technologies Architecture for Cloud Computing A Joyent White Paper Executive Summary The term cloud computing encompasses many different types of services. Therefore, evaluating business needs carefully before choosing a cloud vendor is imperative. Software-, platform-, and infrastructure-as- service vendors differ not only in the type of products they offer but also in the type of architecture their cloud incorporates. This paper examines the broad architectural differences in cloud computing products, the drawbacks to more generic approaches in cloud delivery, and the Joyent philosophy of constructing cloud computing infrastructures. The paper then describes the Joyent Smart Technologies cloud architecture from server and operating system through data center and software development platform. 1 Contents Introduction!3 Not All Clouds Deliver the Same Service (….nor should they)!3 Software as a Service!3 Platform as a Service!4 Infrastructure as a Service!5 Limitations of Common Cloud Infrastructures!5 Public, Private, and Hybrid Clouds!7 The Joyent Cloud Philosophy!8 Joyent Smart Technologies Architecture Overview!9 SmartMachine!10 SmartDataCenter!13 SmartPlatform!15 Joyent Cloud Products at Work!17 Joyent Application Hosting!17 Joyent PaaS!17 Joyent IaaS!17 Conclusion!18 References!19 2 Introduction In the past three years, the term cloud computing has become increasingly elastic. Developers, industry analysts, and customers have all stretched and morphed the definition of the term to encompass a broad range of technologies and products. While an expanding market offers businesses more choice, it also complicates the rational analysis of the underlying technologies. For this reason, companies evaluating potential cloud computing infrastructures should take a pragmatic, business-minded approach in evaluating competing cloud computing infrastructures. -
Cloud Computing Parallel Session Cloud Computing
Cloud Computing Parallel Session Jean-Pierre Laisné Open Source Strategy Bull OW2 Open Source Cloudware Initiative Cloud computing -Which context? -Which road map? -Is it so cloudy? -Openness vs. freedom? -Opportunity for Europe? Cloud in formation Source: http://fr.wikipedia.org/wiki/Fichier:Clouds_edited.jpg ©Bull, 2 ITEA2 - Artemis: Cloud Computing 2010 1 Context 1: Software commoditization Common Specifications Not process specific •Marginal product •Economies of scope differentiation Offshore •Input in many different •Recognized quality end-products or usage standards •Added value is created •Substituable goods downstream Open source •Minimize addition to end-user cost Mature products Volume trading •Marginal innovation Cloud •Economies of scale •Well known production computing •Industry-wide price process levelling •Multiple alternative •Additional margins providers through additional volume Commoditized IT & Internet-based IT usage ©Bull, 3 ITEA2 - Artemis: Cloud Computing 2010 Context 2: The Internet is evolving ©Bull, 4 ITEA2 - Artemis: Cloud Computing 2010 2 New trends, new usages, new business -Apps vs. web pages - Specialized apps vs. HTML5 - Segmentation vs. Uniformity -User “friendly” - Pay for convenience -New devices - Phones, TV, appliances, etc. - Global economic benefits of the Internet - 2010: $1.5 Trillion - 2020: $3.8 Trillion Information Technology and Innovation Foundation (ITIF) Long live the Internet ©Bull, 5 ITEA2 - Artemis: Cloud Computing 2010 Context 3: Cloud on peak of inflated expectations According to -
1 an Explanatory Case Study on Cloud Computing Applications In
An Explanatory Case Study on Cloud Computing Applications in the Built Environment Heap-Yih Chong1, 2*, John Son Wong1 and Xiangyu Wang2, 3 1Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Malaysia. 2Australasian Joint Research Centre for Building Information Modelling (BIM), School of Built Environment, Curtin University, Australia. 3 Department of Housing and Interior Design, Kyung Hee University, Seoul, Korea. Abstract Fragmentation of practices is one of the key issues in the built environment. However, with advances in Information and Communication Technology (ICT), particularly cloud computing, the fragmentation of working practices can be potentially overcome. The technology could enhance communication and information flow in various stages along a project life cycle. Due to the increasing demands and the newly developed cloud computing applications, it is critical to review and identify the appropriate cloud computing applications in the built environment. A total of forty two cloud computing applications consisting of general cloud applications, Building Information Modelling (BIM), and project management cloud applications were selected and critically reviewed. A decision-making model was also developed to assist parties in selecting a suitable application. The explanatory case study has discovered numerous possible cloud computing applications in various disciplines, for example, Google Apps, Autodesk BIM 360, and Viewpoint are the applications with the most features. The findings contribute to creating a certain awareness and insight to reduce the fragmented working practices in the built environment. * Corresponding author. E-mail address: heapyih.chong@curtin .edu.au or [email protected] (H.Y. Chong). 1 Keywords: Cloud computing; BIM; project management; critical review; information management 1. -
Cloud CRM's Evolution and Impact on QA
• Cognizant 20-20 Insights Cloud CRM’s Evolution and Impact on QA As cloud-based customer relationship management systems such as Salesforce.com go mainstream, quality assurance and testing teams need to reinvent their skills and processes to ensure timely and effective application deployment and return on investment. Executive Summary The Cloud: A Brief History Cloud computing is not a completely new technol- The cloud revolution1 started with the software as a ogy; rather, it represents a change in the software service (SaaS) model. In this approach, the vendor ecology for solution creation, distribution and provides end users a full software suite that is consumption. Cloud architecture has already had hosted on the vendor’s premises. These end users disruptive effects on the techno-business land- typically do not need any additional hardware or scape, particularly in pushing established vendors infrastructure, except network connectivity and aside as new players emerge. The cloud’s most an Internet browser to run the applications. Web- critical change is the amount of power and flex- based e-mail services such as Hotmail are among ibility provided to application designers, content the earliest examples of SaaS. However, the full creators and end users. The traditional roles of potential of the model was realized only after developers, testers and end users in the software multi-tenant architectures came into existence. development lifecycle (SDLC) model have become interchangeable in some respects; all roles must In the multi-tenant model, each client (usually, an adapt to survive, if not thrive, in this new age. enterprise) shares computing resources provid- ed by a host service provider, but has separate This white paper discusses enhanced testing tech- and distinct data and code bases. -
Powerkap - a Tool for Improving Energy Transparency for Software Developers on GNU/Linux (X86) Platforms
Project Report Department of Computing Imperial College of Science, Technology and Medicine PowerKap - A tool for Improving Energy Transparency for Software Developers on GNU/Linux (x86) platforms Author: Supervisor: Krish De Souza Dr. Anandha Gopalan Submitted in partial fulfilment of the requirements for the M.Eng Computing 4 of Imperial College London Contents 1 Introduction 6 1.1 Motivation . .6 1.2 Objectives . .7 1.3 Achievements . .7 2 Background 9 2.1 The relationship between power and energy. .9 2.2 Power controls on x86 platforms . .9 2.3 Improving software for power efficiency . 10 2.3.1 Algorithm . 10 2.3.2 Multithreading . 10 2.3.3 Vectorisation . 10 2.3.4 Improper sleep loops . 12 2.3.5 OS Timers . 13 2.3.6 Context aware programming . 13 2.4 Current methods of monitoring energy. 14 2.4.1 Out of Band Energy Monitor . 14 2.4.2 In-Band Energy Monitor . 14 2.4.2.1 Powertop . 15 2.4.2.2 Turbostat . 16 2.5 Related Work . 16 2.5.1 ENTRA 2012-2015 . 16 2.5.1.1 Common Assertion Language . 16 2.5.1.2 Compiler Optimisation and Power Trade-offs . 18 2.5.1.3 Superoptimization . 18 2.5.1.4 Thermal trade-off . 20 2.5.2 eProf . 20 2.5.2.1 Asynchronous vs Synchronous . 20 2.5.2.2 Profiling implementation . 21 2.5.3 Energy Formal Definitions . 21 2.5.3.1 Java Based Energy Formalism . 22 2.5.3.2 Energy Application Model . 22 2.5.4 Impact of language, Compiler, Optimisations .