An Applied Evaluation and Assessment of Cloud Computing Platforms
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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. -
Google Is a Strong Performer in Enterprise Public Cloud Platforms Excerpted from the Forrester Wave™: Enterprise Public Cloud Platforms, Q4 2014 by John R
FOR CIOS DECEMBER 29, 2014 Google Is A Strong Performer In Enterprise Public Cloud Platforms Excerpted From The Forrester Wave™: Enterprise Public Cloud Platforms, Q4 2014 by John R. Rymer and James Staten with Peter Burris, Christopher Mines, and Dominique Whittaker GOOGLE, NOW A FULL-SERVICE PLATFORM, IS RUNNING TO CATCH THE LEADERS Since our last analysis, Google has made significant improvements to its cloud platform — adding an IaaS service, innovated with new big data solutions (based on its homegrown dremel architecture), and added partners. Google is popular among web developers — we estimate that it has between 10,000 and 99,000 customers. But Google Cloud Platform lacks several key certifications, monitoring and security controls, and application services important to CIOs and provided by AWS and Microsoft.1 Google has also been slow to position its cloud platform as the home for applications that want to leverage the broad set of Google services such as Android, AdSense, Search, Maps, and so many other technologies. Look for that to be a key focus in 2015, and for a faster cadence of new features. Forrester Wave™: Enterprise Public Cloud Forrester Wave™: Enterprise Public Cloud Platforms For CIOs, Q4 ‘14 Platforms For Rapid Developers, Q4 ‘14 Risky Strong Risky Strong Bets Contenders Performers Leaders Bets Contenders Performers Leaders Strong Strong Amazon Web Services MIOsoft Microsoft Salesforce Cordys* Mendix MIOsoft Salesforce (Q2 2013) OutSystems OutSystems Google Mendix Acquia Current Rackspace* IBM Current offering (Q2 2013) offering Cordys* (Q2 2013) Engine Yard Acquia CenturyLink Google, with a Forrester score of 2.35, is a Strong Performer in this Dimension Data GoGrid Forrester Wave. -
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 -
Deliverable No. 5.3 Techniques to Build the Cloud Infrastructure Available to the Community
Deliverable No. 5.3 Techniques to build the cloud infrastructure available to the community Grant Agreement No.: 600841 Deliverable No.: D5.3 Deliverable Name: Techniques to build the cloud infrastructure available to the community Contractual Submission Date: 31/03/2015 Actual Submission Date: 31/03/2015 Dissemination Level PU Public X PP Restricted to other programme participants (including the Commission Services) RE Restricted to a group specified by the consortium (including the Commission Services) CO Confidential, only for members of the consortium (including the Commission Services) Grant Agreement no. 600841 D5.3 – Techniques to build the cloud infrastructure available to the community COVER AND CONTROL PAGE OF DOCUMENT Project Acronym: CHIC Project Full Name: Computational Horizons In Cancer (CHIC): Developing Meta- and Hyper-Multiscale Models and Repositories for In Silico Oncology Deliverable No.: D5.3 Document name: Techniques to build the cloud infrastructure available to the community Nature (R, P, D, O)1 R Dissemination Level (PU, PP, PU RE, CO)2 Version: 1.0 Actual Submission Date: 31/03/2015 Editor: Manolis Tsiknakis Institution: FORTH E-Mail: [email protected] ABSTRACT: This deliverable reports on the technologies, techniques and configuration needed to install, configure, maintain and run a private cloud infrastructure for productive usage. KEYWORD LIST: Cloud infrastructure, OpenStack, Eucalyptus, CloudStack, VMware vSphere, virtualization, computation, storage, security, architecture. The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement no 600841. The author is solely responsible for its content, it does not represent the opinion of the European Community and the Community is not responsible for any use that might be made of data appearing therein. -
D1.5 Final Business Models
ITEA 2 Project 10014 EASI-CLOUDS - Extended Architecture and Service Infrastructure for Cloud-Aware Software Deliverable D1.5 – Final Business Models for EASI-CLOUDS Task 1.3: Business model(s) for the EASI-CLOUDS eco-system Editor: Atos, Gearshift Security public Version 1.0 Melanie Jekal, Alexander Krebs, Markku Authors Nurmela, Juhana Peltonen, Florian Röhr, Jan-Frédéric Plogmeier, Jörn Altmann, (alphabetically) Maurice Gagnaire, Mario Lopez-Ramos Pages 95 Deliverable 1.5 – Final Business Models for EASI-CLOUDS v1.0 Abstract The purpose of the business working group within the EASI-CLOUDS project is to investigate the commercial potential of the EASI-CLOUDS platform, and the brokerage and federation- based business models that it would help to enable. Our described approach is both ‘top down’ and ‘bottom up’; we begin by summarizing existing studies on the cloud market, and review how the EASI-CLOUDS project partners are positioned on the cloud value chain. We review emerging trends, concepts, business models and value drivers in the cloud market, and present results from a survey targeted at top cloud bloggers and cloud professionals. We then review how the EASI-CLOUDS infrastructure components create value both directly and by facilitating brokerage and federation. We then examine how cloud market opportunities can be grasped through different business models. Specifically, we examine value creation and value capture in different generic business models that may benefit from the EASI-CLOUDS infrastructure. We conclude by providing recommendations on how the different EASI-CLOUDS demonstrators may be commercialized through different business models. © EASI-CLOUDS Consortium. 2 Deliverable 1.5 – Final Business Models for EASI-CLOUDS v1.0 Table of contents Table of contents ........................................................................................................................... -
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 -
Cutter IT Journal
Cutter The Journal of IT Journal Information Technology Management Vol. 26, No. 3 March 2013 “Cloud service providers, the IT industry, professional The Emerging Cloud Ecosystem: and industry associations, governments, and IT pro- Innovative New Services and fessionals all have a role to Business Models play in shaping, fostering, and harnessing the full potential of the emerging cloud ecosystem.” Opening Statement — San Murugesan, by San Murugesan . 3 Guest Editor Merging IaaS with PaaS to Deliver Robust Development Tools by Beth Cohen . 6 Intrusion Detection as a Service (IDaaS) in an Open Source Cloud Infrastructure by John Prakash Veigas and K Chandra Sekaran . 12 Cloud Ecology: Surviving in the Jungle by Claude R. Baudoin . 19 The Promise of a Diverse, Interoperable Cloud Ecosystem — And Recommendations for Realizing It by Kathy L. Grise . 26 NOT FOR DISTRIBUTION For authorized use, contact Cutter Consortium: +1 781 648 8700 [email protected] Cutter IT Journal About Cutter IT Journal Cutter IT Journal® Cutter Business Technology Council: Part of Cutter Consortium’s mission is to Cutter IT Journal subscribers consider the Rob Austin, Ron Blitstein, Tom DeMarco, Lynne Ellyn, Israel Gat, Vince Kellen, foster debate and dialogue on the business Journal a “consultancy in print” and liken Tim Lister, Lou Mazzucchelli, technology issues challenging enterprises each month’s issue to the impassioned Ken Orr, and Robert D. Scott today, helping organizations leverage IT for debates they participate in at the end of Editor Emeritus: Ed Yourdon competitive advantage and business success. a day at a conference. Publisher: Karen Fine Coburn Cutter’s philosophy is that most of the issues Group Publisher: Chris Generali that managers face are complex enough to Every facet of IT — application integration, Managing Editor: Karen Pasley merit examination that goes beyond simple security, portfolio management, and testing, Production Editor: Linda M. -
An Lc-Tools Tutirial
An lc-tools Tutirial Roman Bogorodskiy [email protected] May 30, 2011 Contents 0.1 Introduction An lc-tools is a set of command line tools to manage various Cloud (aka IaaS) Providers. It’s written in Python and uses libcloud to interact with provider’s API.xx 0.2 Getting Started 0.2.1 Installing Dependencies The only external dependency is libcloud. Please visit libcloud download page to get information how to download and install it. Installing from PyPI Latest stable version of lc-tools could be installed from PyPI: easy_install lctools Installing from source To get latest development version you can checkout sources from project’s github page: git clone https://github.com/novel/lc-tools.git Now you should have all the sources and should be ready to proceed to installation. As lc-tools use setuptools installation process is fairly simple: $ cd lc-tools $ sudo python setup.py install This will install all the tools and you will be able to use them after configu- ration (you will know how to configure lc-tools in the next section: ??). However, there are some additional tools available in lc-tools that’s not installed by default – it’s various provider specific tools. 1 What are provider specific tools, you might ask. You see, libcloud is de- signed to provide an unified API to the cloud, so its model is almost an inter- section of APIs of various cloud providers. However, various provider can have its specific API calls, for example, provider Foo might have a call to return information how many servers could be created in your current account or, say, what’s the maximum allowed rate of requests to the API per minute. -
Education for a Smarter Planet: the Future of Learning CIO Report on Enabling Technologies
Front cover Education for a Smarter Planet: The Future of Learning CIO Report on Enabling Technologies Redguides for Business Leaders Dr. Jim Rudd Christopher Davia Patricia Sullivan Guidance to aid CIOs in strategic investment efforts The value of consumer IT, open platforms, and cloud computing in the future of education Practical examples of how enabling technologies are used today Introduction This IBM® Redguide™ publication is a supplement to the Future of Learning: Executive Insights Report. It provides an in-depth investigation into three enabling technologies and provides actionable guidance to aid CIO strategic and investment planning efforts. Specifically it discusses the value and role of consumer IT, open technologies, and cloud computing in the future of education. In addition, this guide provides real-world examples of the how these technologies work. This guide includes the following topics: Executive overview Exploring the technologies that enable the educational continuum Consumer IT Open platforms Cloud computing Creating Education for a Smarter Planet A roadmap for enabling a future vision Other resources for more information © Copyright IBM Corp. 2009. All rights reserved. 1 Executive overview Over the next decade, educational institutions will face significant change, transforming their relationships with students, teachers, and the workers of tomorrow. Signposts for the future are already visible, signaling significant changes to all segments of education as well as to their funders. These five signposts, which are technology immersion, personalized learning paths, knowledge skills, global integration, and economic alignment, are rapidly converging to produce a new and transformative paradigm that we call the educational continuum. This continuum dissolves the traditional boundaries between academic levels, education providers, and economic development initiatives to provide a single system for life-long learning, skills development, and workforce training. -
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