Cloud Computing: a Practical Approach
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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 -
Evaluating Cloud Service Vendors with Comparison J.Jagadeesh Babu1 Mr.P.Saikiran 2 M.Tech Information Technology Dept of IT/LBRCE College India
Volume 3, Issue 5, May 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Evaluating Cloud Service Vendors with Comparison J.Jagadeesh Babu1 Mr.P.Saikiran 2 M.Tech Information Technology Dept of IT/LBRCE college India. India. Abstract: In this paper we reviewed the technical and service aspects of different Cloud providers and presents the comparisons of these selected service offerings in cloud computing. By this User can have good understanding regarding services provided to avoid bottlenecks are also obstacles that could limit the growth. This comparison of cloud service providers, to serve as a starting point for user looking to take throw service and for Selecting the better one for there need into cloud environment . Keywords: Cloud Computing, Service Vendors, Cloud Services. I. Introduction As the use of computers in our day-to-day life has increased, the computing resources that we need also grown up. It was costly to buy a mainframe and computer‘s, it became important to find the alternative ways to get the greatest return on the investment, allowing multiple users to share among both the physical access to the computer from multiple terminals and to share the CPU time, eliminating periods of inactivity, which became known in the industry as time- sharing[1]. The origin of the term cloud computing is vague, but it appears to derive from the way of drawings of stylized clouds to denote networks in diagrams of computing and communications systems.Cloud computing is a paradigm shift in which computing is moved away from personal computers and even the individual enterprise application‘s to a ‗cloud‘ of computers. -
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. -
Magic Quadrant for Enterprise High-Productivity Application Platform As a Service
This research note is restricted to the personal use of [email protected]. Magic Quadrant for Enterprise High- Productivity Application Platform as a Service Published: 26 April 2018 ID: G00331975 Analyst(s): Paul Vincent, Van Baker, Yefim Natis, Kimihiko Iijima, Mark Driver, Rob Dunie, Jason Wong, Aashish Gupta High-productivity application platform as a service continues to increase its footprint across enterprise IT as businesses juggle the demand for applications, digital business requirements and skill set challenges. We examine these market forces and the leading enterprise vendors for such platforms. Market Definition/Description Platform as a service (PaaS) is application infrastructure functionality enriched with cloud characteristics and offered as a service. Application platform as a service (aPaaS) is a PaaS offering that supports application development, deployment and execution in the cloud. It encapsulates resources such as infrastructure. High- productivity aPaaS (hpaPaaS) provides rapid application development (RAD) features for development, deployment and execution — in the cloud. High-productivity application platform as a service (hpaPaaS) solutions provide services for declarative, model-driven application design and development, and simplified one-button deployments. They typically create metadata and interpret that metadata at runtime; many allow optional procedural programming extensions. The underlying infrastructure of these solutions is opaque to the user as they do not deal with servers or containers directly. The rapid application development (RAD) features are often referred to as "low-code" and "no-code" support. These hpaPaaS solutions contrast with those for "high-control" aPaaS, which need professional programming — "pro-code" support, through third-generation languages (3GLs) — and provide transparent access to the underlying infrastructure. -
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 ........................................................................................................................... -
Hp Storageworks Disk System 2405
user’s guide hp StorageWorks disk system 2405 Edition E0902 . Notice Trademark Information © Hewlett-Packard Company, 2002. All rights Red Hat is a registered trademark of Red Hat Co. reserved. C.A. UniCenter TNG is a registered trademark of A6250-96020 Computer Associates International, Inc. Hewlett-Packard Company makes no warranty of Microsoft, Windows NT, and Windows 2000 are any kind with regard to this material, including, but registered trademarks of Microsoft Corporation not limited to, the implied warranties of HP, HP-UX are registered trademarks of Hewlett- merchantability and fitness for a particular purpose. Packard Company. Command View, Secure Hewlett-Packard shall not be liable for errors Manager, Business Copy, Auto Path, Smart Plug- contained herein or for incidental or consequential Ins are trademarks of Hewlett-Packard Company damages in connection with the furnishing, performance, or use of this material. Adobe and Acrobat are trademarks of Adobe Systems Inc. This document contains proprietary information, which is protected by copyright. No part of this Java and Java Virtual Machine are trademarks of document may be photocopied, reproduced, or Sun Microsystems Inc. translated into another language without the prior NetWare is a trademark of Novell, Inc. written consent of Hewlett-Packard. The information contained in this document is subject to AIX is a registered trademark of International change without notice. Business Machines, Inc. Tru64 and OpenVMS are registered trademarks of Format Conventions Compaq Corporation. -
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. -
Cloud Interoperability with the Opennebula Toolkit
Cloud Computing: Interoperability and Data Portability Issues Microsoft, Brussels st 1 December 2009 Cloud Interoperability with the OpenNebula Toolkit Distributed Systems Architecture Research Group Universidad Complutense de Madrid 1/11 Cloud Computing in a Nutshell Cloud Interoperability with the OpenNebula Toolkit What Who Software as a Service On-demand End-user access to any (does not care about hw or sw) application Platform as a Service Platform for Developer building and (no managing of the delivering web underlying hw & swlayers) applications Infrastructure as a Raw computer System Administrator Serviceᄎ infrastructure (complete management of the computer infrastructure) Innovative open, flexible and scalable technology to build IaaS clouds Physical Infrastructure 2/11 What is OpenNebula? Cloud Interoperability with the OpenNebula Toolkit Innovations Designed to address the technology challenges in cloud computing management Open-source Toolkit OpenNebula v1.4 • Support to build new cloud interfaces • Open and flexible tool to fit into any datacenter and VM integrate with any ecosystem component VM • Private, public and hybrid clouds VM • Based on standards • Support federation of infrastructures • Efficient and scalable management of the cloud 3/11 A Toolkit for System Integrators Cloud Interoperability with the OpenNebula Toolkit One Size does not Fit All: Tailoring the Tool to Fit your Needs • Open, modular and extensible architecture • Easy to enhance and embed • Minimal installation requirements (distributed in Ubuntu) • Open Source – Apache 2 Virt. Virt. InterfacesVirt. SchedulersVirt. OpenNebula API Virtual and Physical Resource Management Driver API Virt. Virt. Virt. Virt. ComputeVirt. StorageVirt. NetworkVirt. CloudVirt. 4/11 Interoperability in the OpenNebula Toolkit Cloud Interoperability with the OpenNebula Toolkit Interoperation from Different Perspectives 1. -
Python for Bioinformatics, Second Edition
PYTHON FOR BIOINFORMATICS SECOND EDITION CHAPMAN & HALL/CRC Mathematical and Computational Biology Series Aims and scope: This series aims to capture new developments and summarize what is known over the entire spectrum of mathematical and computational biology and medicine. It seeks to encourage the integration of mathematical, statistical, and computational methods into biology by publishing a broad range of textbooks, reference works, and handbooks. The titles included in the series are meant to appeal to students, researchers, and professionals in the mathematical, statistical and computational sciences, fundamental biology and bioengineering, as well as interdisciplinary researchers involved in the field. The inclusion of concrete examples and applications, and programming techniques and examples, is highly encouraged. Series Editors N. F. Britton Department of Mathematical Sciences University of Bath Xihong Lin Department of Biostatistics Harvard University Nicola Mulder University of Cape Town South Africa Maria Victoria Schneider European Bioinformatics Institute Mona Singh Department of Computer Science Princeton University Anna Tramontano Department of Physics University of Rome La Sapienza Proposals for the series should be submitted to one of the series editors above or directly to: CRC Press, Taylor & Francis Group 3 Park Square, Milton Park Abingdon, Oxfordshire OX14 4RN UK Published Titles An Introduction to Systems Biology: Statistical Methods for QTL Mapping Design Principles of Biological Circuits Zehua Chen Uri Alon -
High Performance Computing, Converged Infrastructure | IT Case
HP solutions help find difficult-to-reach oil and gas faster MicroSeismic, Inc. processes seismic data eight times faster, using solutions based on HP Converged Infrastructure technologies “The HP ProLiant DL160se servers greatly improved performance, processing jobs in just a few minutes that once took 20—about eight times faster.” Brian Gibbons, IT Manager, MicroSeismic, Inc. Objective Decrease processing cycles by deploying a more powerful processing solution for oil and gas field data Approach Turn to HP Elite Partner TSA for advice on how to speed processing with HP Converged Infrastructure-based technologies HP customer case study: IT improvements high-performance • 8x faster server management with computing; HP BladeSystem converged infrastructure • 50% reduction in power consumption with Industry: oil and gas HP BladeSystem • Business continuity solution with replication of data across two sites The sweet sound of oil and gas Business benefits To find “unconventional” hydrocarbons in the ground, • 8x faster processing of data for optimizing well you have to be able to listen—with very sensitive stimulation instrumentation—to what’s going on in the subsurface. • 20% reduction in TCO for total server count “Unconventional” or “hard-to-get” oil and gas is often due to virtualization found in shales. When these shales are stimulated by a hydrofrac job, tiny noises that indicate how • Increase in revenue due to improved productivity the rock is breaking up occur. The patterns of these • Faster growth with enhanced ability to service sounds tell geoscientists about the stimulation job’s more customers effectiveness, which enables the subsurface to release • $100,000 USD in equipment savings with the hydrocarbons.