DOCSLIB.ORG

Cloud Computing

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Cloud Computing Agenda Objective Cloud Computing Architecture Characteristics Advantages Public,Private and Hybrid Clouds Type of Services Cloud Computing Components Technical Issues Cloud Service Taxonomy Disadvantages Conclusion Objective To provide a general overview of cloud computing including: •What are some of the issues we should consider? •Why should this be important to us? What is Cloud Computing? • Cloud computing is a way of computing, via the Internet, that broadly shares computer resources instead of using software or storage on a local PC. Cloud = Internet. • Not to be confused with • Grid Computing – a form of distributed computing • Cluster of loosely coupled, networked computers acting in concern to perform very large tasks • Utility Computing – packaging of computing resources such as computing power, storage, also metered services • Autonomic computing – self managed Architecture Cloud Cloud Platform Service Cloud Cloud Storage Infrastructure (Database) 5 Essential Cloud Characteristics • On-demand self-service • Broad network access (Internet) • Resource pooling – Location independence • Rapid elasticity • Measured service Advantages of Cloud Computing Reduced Cost Performance Scalability Public, Private & Hybrid Clouds 8 Public Cloud Services Definition – The standard cloud computing model • The SP makes resources, such as applications and storage,available to the general public over the Internet – Free or offered on a pay-per-use model • Examples of public clouds – Amazon Elastic Compute Cloud (EC2), IBM's Blue Cloud, Sun Cloud, Google AppEngine and Windows Azure Services Platform. Private Cloud Service • Internal cloud or corporate cloud • Definition – Proprietary computing architecture that provides hosted services to a limited number of people behind a firewall. • Designed to appeal to an organization that needs or wants more control over their data than they can get by using a third-party hosted service Type of Services Cloud Computing Components Facebook · Google Apps · Applications SalesForce · Microsoft Online Browser(Chrome) · Firefox · Cloud · Mobile (Android · Client iPhone) · Netbook (EeePC · MSI Wind) · Nettop (CherryPal · Zonbu) BitTorrent · EC2 · GoGrid · Infrastructure Sun Grid · 3tera App Engine · Azure · Mosso · Platforms SalesForce Services Alexa · FPS · MTurk · SQS Storage S3 · SimpleDB · SQL Services Standards · Atom · HTML 5 · REST Technical Issues of Cloud Computing Virtualization Security Reliability Monitoring Manageability Cloud Service Taxonomy Layers Software-as-a-Service (SaaS) Platform-as-a-Service (PaaS) Infrastructure-as-a-Service (IaaS) Data Storage-as-a-Service (DaaS) Software-as-a-Service (SaaS) •Definition – Software deployed as a hosted service and accessed over the Internet • Features – Open, Flexible – Easy to Use – Easy to Upgrade – Easy to Deploy Platform-as-a-Service (PaaS) Definition • Platform providing all the facilities necessary to support the complete process of building and delivering web applications and services, all available over the Internet • Entirely virtualized platform that includes one or more servers, operating systems and specific applications Infrastructure-as-a-Service (IaaS) Definition • Provision model in which an organization outsources the equipment used to support operations, including storage, hardware, servers and networking components • Infrastructure as a Service is sometimes referred to as Hardware as a Service (HaaS). • The service provider owns the equipment and is responsible for housing, running and maintaining it • The client typically pays on a per-use basis Data Storage as a Service (DaaS) • Definition – Delivery of data storage as a service, including database-like services, often billed on a utility computing basis • Database (Amazon SimpleDB & Google App Engine's BigTable datastore) • Network attached storage (MobileMe iDisk & Nirvanix CloudNAS) • Synchronization (Live Mesh Live Desktop component & MobileMe push functions) • Web service (Amazon Simple Storage Service & Nirvanix SDN) Cloud Computing Benefits • Agility – On demand computing infrastructure • Linearly scalable • Reliability and fault tolerance • Self healing – Hot backups, etc • SLA driven – Policies on how quickly requests are processed • Multi-tenancy – Several customers share infrastructure, without compromising privacy and security of each of the customer’s data • Service-oriented – compose applications out of loosely coupled services. One service failure will not disrupt other services. Expose these services as API’s • Virtualized – decoupled from underlying hardware. Multiple applications can run in one computer • Data, Data, Data • Distributing, partitioning, security, and synchronization 19 Contd.. • Simple • Transparent => need to “see” into the cloud • Scalable => complexity often limits scalability • Secure => limits adoptability • Extensible • New application classes and service classes may require new features • Clouds are new => need to extend while retaining useful features • Easy • To install => system administration time is expensive • To maintain => system administration time is really expensive 20 Contd.. • Extensibility • Simple architecture and open internal APIs • Client-side interface • Amazon’s AWS interface and functionality (familiar and testable) • Networking • Virtual private network per cloud • Must function as an overlay => cannot supplant local networking • Security • Must be compatible with local security policies • Packaging, installation, maintenance • system administration staff is an important constituency for uptake 21 Additional Cloud Characteristics • Cloud computing often leverages: – Massive and Rapid scalability – Virtualization – Resilient computing – Low cost software – Geographic distribution, (many datacenters) – Service orientation – Advanced security technologies Disadvantages of Cloud Computing Must have stable internet Slower than local software Concern about reliable and security Cloud computing open issues Governance • Security, Privacy and control • SLA guarantees • Ownership and control Reliability • Good servive provider with 99.999% availability Data Security Cloud locking and Loss of control • Plan for moving data along with Cloud provider Contd.. Cost? Simplicity? Controls on sensitive data? • Out of business Big and small • Scalability and cost outweigh reliability for small businesses • Big businesses may have a problem Conclusion • Cloud computing is the fastest growing part of IT • Tremendous benefits to customers of all size • Cloud services are simpler to acquire • Public and private clouds may be used in combination .
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.
    [Show full text]
  • 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.
    [Show full text]
  • 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 ...........................................................................................................................
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Nettop Platform for 2008 System Design White Paper
    Nettop Platform for 2008 System Design White Paper June 2008 Document Number: 319980 INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL® PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTEL’S TERMS AND CONDITIONS OF SALE FOR SUCH PRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER, AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY, RELATING TO SALE AND/OR USE OF INTEL PRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT. Intel products are not intended for use in medical, life saving, or life sustaining applications. Intel may make changes to specifications and product descriptions at any time, without notice. Designers must not rely on the absence or characteristics of any features or instructions marked "reserved" or "undefined." Intel reserves these for future definition and shall have no responsibility whatsoever for conflicts or incompatibilities arising from future changes to them. The Atom™ processor 200 series components may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request. Contact your local Intel sales office or your distributor to obtain the latest specifications and before placing your product order. Intel and the Intel logo are trademarks of Intel Corporation
    [Show full text]
  • 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
    [Show full text]
  • Distributed Anomaly Detection and Prevention for Virtual Platforms
    Distributed Anomaly Detection and Prevention for Virtual Platforms Dissertation zur Erlangung des mathematisch-naturwissenschaftlichen Doktorgrades \Doctor rerum naturalium" der Georg-August-Universit¨atG¨ottingen im Promotionsprogramm Computer Science (PCS) der Georg-August University School of Science (GAUSS) vorgelegt von Ali Imran Jehangiri aus Mansehra, Pakistan G¨ottingen,2015 Betreuungsausschuss Prof. Dr. Ramin Yahyapour, Gesellschaft f¨urwissenschaftliche Datenverarbeitung G¨ottingen mbH (GWDG), Institut f¨urInformatik, Georg-August-Universit¨atG¨ottingen Prof. Dr. Stephan Waack, Institut f¨urInformatik, Georg-August-Universit¨atG¨ottingen Mitglieder der Pr¨ufungskommission Referent: Prof. Dr. Ramin Yahyapour, Gesellschaft f¨urwissenschaftliche Datenverarbeitung G¨ottingen mbH (GWDG), Institut f¨urInformatik, Georg-August-Universit¨atG¨ottingen Korreferent: Prof. Dr. Andrei Tchernykh, Computer Science Department, CICESE Research Center, Ensenada, Baja California, Mexico Weitere Mitglieder der Pr¨ufungskommission Prof. Dr. Carsten Damm, Institut f¨urInformatik, Georg-August-Universit¨atG¨ottingen Prof. Dr. Dieter Hogrefe, Institut f¨urInformatik, Georg-August-Universit¨atG¨ottingen Prof. Dr. Xiaoming Fu, Institut f¨urInformatik, Georg-August-Universit¨atG¨ottingen Prof. Dr. Winfried Kurth, Abteilung Okoinformatik,¨ Biometrie und Waldwachstum, Georg-August- Universit¨atG¨ottingen Tag der m¨undlichen Pr¨ufung:17. 07 2015 i Abstract An increasing number of applications are being hosted on cloud based plat- forms [69]. Cloud platforms are serving as a general computing facility and applications being hosted on these platforms range from simple multi- tier web applications to complex social networking, eCommerce and Big Data applications. High availability, performance and auto-scaling are key requirements of Cloud based applications. Cloud platforms serve these requirements using dynamic provisioning of resources in on-demand, multi- tenant fashion.
    [Show full text]
  • HPC Management and Engineering in the Hybrid Cloud
    Universidade de Aveiro Departamento de Eletrónica, 2015 Telecomunicações e Informática André Frederico Gestão e engenharia de CAP na Nuvem Híbrida Guilhoto Monteiro HPC Management and Engineering in the Hybrid Cloud Universidade de Aveiro Departamento de Eletrónica, 2015 Telecomunicações e Informática André Frederico Gestão e engenharia de CAP na Nuvem Híbrida Guilhoto Monteiro HPC Management and Engineering in the Hybrid Cloud Tese apresentada às Universidades do Minho, Aveiro e Porto para cumprimento dos requisitos necessários à obtenção do grau de Doutor em Informática no âmbito do doutoramento conjunto MAP-i, realizada sob a orientação científica do Doutor Cláudio Jorge Vieira Teixeira, equiparado a Investigador Auxiliar, e do Doutor Joaquim Manuel Henriques de Sousa Pinto, Professor Auxiliar ambos do Departamento de Eletrónica, Telecomunicações e Informática da Universidade de Aveiro. Ao meu pai, o verdadeiro “engenheiro” que me inspirou na procura das coisas inovadoras, à minha mãe pela seu acompanhamento e exigência na educação e à mulher da minha vida pelo encorajamento, trabalho suplementar e paciência extra. o júri / the jury presidente / president Prof. Doutor Domingos Moreira Cardoso Professor Catedrático da Universidade de Aveiro vogais / examiners committee Prof. Doutor Fernando Manuel Augusto Silva Professor Catedrático da Faculdade de Ciências da Universidade do Porto Prof. Doutor Alfredo Moreira Caseiro Rocha Professor Associado com Agregação da Universidade de Aveiro Prof. Doutor Ignacio Blanquer Professor Associado da Universidade Politécnica de Valência Prof. Doutor José Miguel Oliveira Monteiro Sales Dias Professor Associado Convidado do Instituto Universitário de Lisboa Prof. Doutor Filipe João Boavida Mendonça Machado Araújo Professor Auxiliar da Faculdade de Ciências e Tecnologia da Universidade de Coimbra Prof.
    [Show full text]
  • Cloud Computing Oct 7 2008
    CS 683 Emerging Technologies Fall Semester, 2008 Doc 10 Cloud Computing Oct 7 2008 Copyright ©, All rights reserved. 2008 SDSU & Roger Whitney, 5500 Campanile Drive, San Diego, CA 92182-7700 USA. OpenContent (http:// www.opencontent.org/openpub/) license defines the copyright on this document. References Amazon Simple Storage Service Getting Started Guide, http://docs.amazonwebservices.com/ AmazonS3/2006-03-01/gsg/ Amazon Simple Storage Service, http://aws.amazon.com/s3/ Twenty-One Experts Define Cloud Computing, http://cloudcomputing.sys-con.com/node/612375/ print Cloud Computing Community Wiki, http://wiki.cloudcommunity.org/wiki/Main_Page Cloud computing, http://en.wikipedia.org/wiki/Cloud_computing Reading Cloud computing, http://en.wikipedia.org/wiki/Cloud_computing Amazon Simple Storage Service Getting Started Guide, http://docs.amazonwebservices.com/ AmazonS3/2006-03-01/gsg/ 2 Cloud Computing 3 Examples Google Apps iTunes Store Bittorent Skype Web mail Facebook Google Maps 4 In the Beginning "computation may someday be organized as a public utility" John McCarthy 1960 5 Wikipedia Definition IT-related capabilities are provided “as a service” Services accesses anywhere via network access IEEE It is a paradigm in which information is permanently stored in servers on the Internet and cached temporarily on clients that include desktops, entertainment centers, table computers, notebooks, wall computers, handhelds, etc. 6 Key Characteristics Capital expenditure minimized for users Device and location independence Performance Reliability
    [Show full text]
  • Cloud Computing – a Simple Explanation
    Cloud Computing – a simple Explanation Jere Minich Program Director Lake-Sumter Computer Society Leesburg, Florida 1 Overview for today • 1. What is Cloud Computing.? ( acronym = CC) • 2. Strengths & Free CC. • 3. Why Business Needs CC.? • 4. Types of CC. • 5. How CC works.? • 6. Positive/Advantage of CC. • 7. What is CC like.? • 8. Access, Security, Privacy, Public Records. • 9. CC & Me; Service & Infrastructure • 10 Benefits • 11. A look into the future – Google, Ajax, Mobile, BYOD. 42 –Slides-most- Black & White – Available as: Power Point 2007, PDF, Wordpad. 2 Cloud Computing concept background with a lot of icons: tablet, smartphone, computer, desktop, monitor, music, downloads and so on 3 Cloud Computing Complex 4 Inside Look 5 A view of the Microsoft data center in Dublin, Ireland. 6 Another view of the Microsoft data center in Dublin, Ireland. 7 Cloud computing is where: • software applications, • processing power, • Data • or artificial intelligence are accessed over the Internet. 8 Cloud computing is: • the ability to employ a number of: – computers, – hardware, – software, – and servers - a computer program running to serve the requests of other programs, • to serve your computing needs remotely – without actually owning or running the software and hardware. 9 Cloud computing is: • A much-needed technology that provides: – resources over the Internet, –which are: • extremely accessible • and informative as a service • to those who use Cloud Computing. 10 The strength of cloud computing is: • that it is instantly scalable; – in other words: – more computers can be; • added to • or removed from – the cloud at any time, – without impacting the operation of the cloud.
    [Show full text]