Introduction to Cloud Computing
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
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. -
Standard Deck
OVERVIEW Customers in 50+ countries All industry segments All sizes: 250 to 1 million+ devices/IPs Annual subscription model with 95% client renewal rate Strong partnerships with SIs and resellers Based in Connecticut, USA www.device42.com Representative Clients and Partners www.device42.com Visualize the Entire Estate DEVICE42 REFERENCE ARCHITECTURE KEY SELLING POINTS FOR DISCOVERY CUSTOMER COMPLEX PROJECTS: INFRASTRUCTURE INFRASTRUCTURE Windows Discovery WMI (TCP 135, 137, 139, 445,1024-65535) WINDOWS /HYPER-V Agentless auto-discovery Netlow Collector SYSTEMS Broad Support NETFLOW (UDP 2055) APIs - ACI, F5, UCS, - HTTPS (TCP 443) NETWORK MS and Unix, Cloud vendors, Hypervisors DEVICES Device42 SNMP (UDP 161) CISO Friendly Management Interfaces Secure, behind firewall, read only credentials SSH (TCP404), SSH (TCP22) Linux/Unix No data leaves the enterprise HTTPS (TCP443), SYSTEMS HTTP (TCP4242), HTTPS(4343) MAIN VENDOR API / SSH VARIOUSPORTS Full access to data APPLIANCE HYPERVISORS Fully documented complete APIs Robust reporting and audit logs CSP APIs - HTTPS (TCP443) PUBLIC CLOUD DISCOVERY Just the facts Agnostic as to vendor or disposition DNS (TCP53) DNS ZONES Easy to deploy VARIOUSPROTOCOLS Lightweight footprint, self-hosted virtual appliance makes HTTPS (TCP443) OTHER DISCOVERY deployment and management simple REMOTE VARIOUSPROTOCOLS SEGMENTED / REMOTE COLLECTOR INFRASTRUCTURE www.device42.com Continuous Discovery for your IT Infrastructure Service connections, application configs, APPLICATIONS and service groupings SERVICES Service, -
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. -
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. -
Cloud Computing Bible Is a Wide-Ranging and Complete Reference
A thorough, down-to-earth look Barrie Sosinsky Cloud Computing Barrie Sosinsky is a veteran computer book writer at cloud computing specializing in network systems, databases, design, development, The chance to lower IT costs makes cloud computing a and testing. Among his 35 technical books have been Wiley’s Networking hot topic, and it’s getting hotter all the time. If you want Bible and many others on operating a terra firma take on everything you should know about systems, Web topics, storage, and the cloud, this book is it. Starting with a clear definition of application software. He has written nearly 500 articles for computer what cloud computing is, why it is, and its pros and cons, magazines and Web sites. Cloud Cloud Computing Bible is a wide-ranging and complete reference. You’ll get thoroughly up to speed on cloud platforms, infrastructure, services and applications, security, and much more. Computing • Learn what cloud computing is and what it is not • Assess the value of cloud computing, including licensing models, ROI, and more • Understand abstraction, partitioning, virtualization, capacity planning, and various programming solutions • See how to use Google®, Amazon®, and Microsoft® Web services effectively ® ™ • Explore cloud communication methods — IM, Twitter , Google Buzz , Explore the cloud with Facebook®, and others • Discover how cloud services are changing mobile phones — and vice versa this complete guide Understand all platforms and technologies www.wiley.com/compbooks Shelving Category: Use Google, Amazon, or -
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. -
Sebastian Witowski
I made a website! Now what? Sebastian Witowski 1 Disclaimer There are many great tools at CERN (OpenShift). This presentation is not about those tools. 2 This presentation is about external tools 3 Free to use Open source Good value/money Good service Supports FOSS/education 4 Hosting 5 Cloud hosting Physical server vs VPS: Billed for real usage (per second on AWS) Easy to scale 6 Hosting providers AWS (EC2 and Amazon Lightsail) Free tier for 1 year (2x t2.micro, 1 DB, 5GB storage, etc.) Complex pricing model DigitalOcean From $5/month (512MB RAM, 20GB storage, 1TB transfer) Additional storage from $0.10/GB/month Linode From $5/month (1GB RAM, 20GB storage, 1TB transfer) Additional storage from $0.10/GB/month Heroku PaaS: more expensive, but easier to use (less congurable) 1 dyno free forever (512 MB RAM, 10k PostgreSQL rows) 7 Server parameters Storage - 20GB is plenty (use AWS S3 for more) Transfer - 1TB is usually more than enough CPU - 1 CPU is ne for simple website RAM - the more the better (caching, DB, etc.) 8 Cloud computing 9 When a VPS is not enough AWS Free tier for 1 year (VPS, DB, S3, Lambda and more) More features than competition Longest time on market == more 3rd party libraries Google Cloud $300 free credits to spend during rst 12 months "Always free" tier with VPS (1 f1-micro, 30GB storage), DB (1GB NoSQL), storage (5 GB), messaging, logging, serverless functions, but also NLP, speech and vision API Azure 30 days free trial with $200 free credits, some services free for 12 months and some free forever Good support for Windows applications 10 Static websites 11 When a VPS is too much GitLab pages Supports any static site generator Free Continuous Integration Slightly more complicated setup GitHub pages Supports only Jekyll (to use other static site generators, you need to precompile les locally) Easy, out-of-the-box setup Both are free and offer separate websites for projects and organizations. -
Yritysten Tuotetietojen Globaali Jakaminen
YRITYSTEN TUOTETIETOJEN GLOBAALI JAKAMINEN LAHDEN AMMATTIKORKEAKOULU Tekniikan ala Tietotekniikan koulutusohjelma Tietoliikennetekniikka Opinnäytetyö Syksy 2016 Ekaterina Ruotsalainen Lahden ammattikorkeakoulu Tietotekniikan koulutusohjelma RUOTSALAINEN, EKATERINA: Yritysten tuotetietojen globaali jakaminen Tietoliikennetekniikan opinnäytetyö, 99 sivua Syksy 2016 TIIVISTELMÄ Tietoliikenne- ja virtualisointitekniikoiden kehityksen myötä monien, myös pk-yritysten toiminta kansainvälistyy yhä useammin. Tämä tuo yrityksille monipuoliset edut, mutta samalla lisää haasteita tuotetiedon hallinnan ja turvallisen tietojen jakamisen kannalta. Työn tavoitteena oli tutkia yritysten tuotetietojen globaalin jakamisen haasteet ja mahdolliset ratkaisut. Ongelmaa tutkittiin kahdesta näkökulmasta: tuotetiedon tuottaminen ja hallinta sekä tuotetiedon jakaminen tietoliikenneyhteyksien välityksellä. Työn keskeinen käsite on tuotetiedonhallinta (PDM) eli toiminnot ja prosessit, jotka IT-resurssien avulla mahdollistavat tuotetietojen varastoinnin, seurannan, jakamisen ja käsittelyn. Tuotetiedolla tarkoitetaan kaikkia tuotteisiin liittyviä tietoja, kuten esimerkiksi piirustukset, 3D-mallit ja osaluettelot. PDM-järjestelmä on ison yritystietojärjestelmäkokonaisuuden osa. Sen takia toimivat integraatiot CAD-ohjelmistoihin ja ERP- järjestelmään ovat tärkeässä roolissa. Tuotetietojen jakamiseen yritysten käytössä ovat erilaiset WAN-ratkaisut ja VPN-tekniikat. Virtualisointi ja pilvipalvelut ovat myös laajentanet ja monipuolistaneet tietojenjakamismahdollisuudet. -
Comparison of Availability Between Local and Cloud Storage Leviathan Security Group
Comparison of Availability Between Local and Cloud Storage Leviathan Security Group limitless innovation. no compromise. Introduction The U.S. National Institute for Standards and Technology denes cloud computing as having ve essential characteristics: on-demand self- service for provisioning, network access, the use of virtual machines to provide servers, rapid elastic provisioning and release of servers, and metering capability on the service provided.1 This paper seeks to answer whether, from the perspective of availability of data, especially in the face of natural or manmade threats to data and access, cloud computing is able to provide a greater benet than local data storage. For the purposes of this discussion, local data storage will include arrangements where data is kept on business premises or in a nearby datacenter, such as a colocation facility or other rigidly-provisioned resource. We will rst examine the signicant dierentiator that cloud computing provides in this space, and then examine dierent scales of threats to availability to see whether local data storage or cloud data storage fares better against known historical threats. 2 The Cloud Dierentiator: Geographic Redundancy At its heart, cloud computing and cloud storage are exactly the same as computing and storage provided through a datacenter or SOHO server; the cloud is made of computers. The dierence between cloud- based storage and local storage is that using cloud-based storage allows replication between separate geographic regions. Indeed, the key feature of -
Understanding the Cloud Computing Landscape
Chapter 1 Understanding the Cloud Computing Landscape Lamia Youseff, Dilma M. Da Silva, Maria Butrico, and Jonathan Appavoo Contents 1.1 Introduction .................................................................................................2 1.2 Cloud Systems Classifications ......................................................................2 1.3 SPI Cloud Classification ...............................................................................2 1.3.1 Cloud Software Systems ...................................................................3 1.3.2 Cloud Platform Systems ....................................................................3 1.3.3 Cloud Infrastructure Systems ...........................................................4 1.4 UCSB-IBM Cloud Ontology .......................................................................4 1.4.1 Applications (SaaS) ...........................................................................5 1.4.2 Cloud Software Environment (PaaS) ................................................7 1.4.3 Cloud Software Infrastructure ..........................................................8 1.4.4 Software Kernel Layer .......................................................................9 1.4.5 Cloud Hardware/Firmware ...............................................................9 1.5 Jackson’s Expansion on the UCSB-IBM Ontology .....................................10 1.6 Hoff’s Cloud Model ...................................................................................11 1.7 Discussion ..................................................................................................13