This document provides an overview of cloud computing standards organizations and use cases. It begins with definitions of cloud computing and describes early use cases like migrating applications between clouds without changes. It then outlines several standards bodies and their focuses, such as the Distributed Management Task Force working on virtual machine portability and the Storage Networking Industry Association developing a cloud data management interface. Finally, it presents additional use cases such as moving large data applications between cloud storage and compute services and sharing information across clouds with security requirements.
The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.
Azure was announced in October 2008 and released on 1 February 2010 as Windows Azure, before being renamed to Microsoft Azure on 25 March 2014. Along with Amazon Web Services Azure is considered a leader in the IAAS field.
Microsoft Azure is an open and flexible cloud platform that enables you to quickly build, deploy, and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool, or framework. And you can integrate your public cloud applications with your existing IT environment.
This definition tells us that Microsoft Azure is a cloud platform, which means you can use it for running your business applications, services, and workloads in the cloud. But it also includes some key words that tell us even more:
Open Microsoft Azure provides a set of cloud services that allow you to build and deploy cloud-based applications using almost any programming language, framework, or tool.
Flexible Microsoft Azure provides a wide range of cloud services that can let you do everything from hosting your company’s website to running big SQL databases in the cloud. It also includes different features that can help deliver high performance and low latency for cloud-based applications.
Microsoft-managed Microsoft Azure services are currently hosted in several datacenters spread across the United States, Europe, and Asia. These datacenters are managed by Microsoft and provide expert global support on a 24x7x365 basis.
Compatible Cloud applications running on Microsoft Azure can easily be integrated with on-premises IT environments that utilize the Microsoft Windows Server platform.
It provides both PAAS and IAAS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems.
The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer.
Azure was announced in October 2008 and released on 1 February 2010 as Windows Azure, before being renamed to Microsoft Azure on 25 March 2014. Along with Amazon Web Services Azure is considered a leader in the IAAS field.
Microsoft Azure is an open and flexible cloud platform that enables you to quickly build, deploy, and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool, or framework. And you can integrate your public cloud applications with your existing IT environment.
This definition tells us that Microsoft Azure is a cloud platform, which means you can use it for running your business applications, services, and workloads in the cloud. But it also includes some key words that tell us even more:
Open Microsoft Azure provides a set of cloud services that allow you to build and deploy cloud-based applications using almost any programming language, framework, or tool.
Flexible Microsoft Azure provides a wide range of cloud services that can let you do everything from hosting your company’s website to running big SQL databases in the cloud. It also includes different features that can help deliver high performance and low latency for cloud-based applications.
Microsoft-managed Microsoft Azure services are currently hosted in several datacenters spread across the United States, Europe, and Asia. These datacenters are managed by Microsoft and provide expert global support on a 24x7x365 basis.
Compatible Cloud applications running on Microsoft Azure can easily be integrated with on-premises IT environments that utilize the Microsoft Windows Server platform.
It provides both PAAS and IAAS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems.
This is a brief introduction to Microsoft Azure cloud. I used these slides in an intro session for developers. I did few demos during the session that not included in the slide. Brand name and logos are properties of their respective owners.
A quick look at how the term Cloud originated, What is Cloud Computing? Cloud Infrastaructure, Cloud: Platforms, Benefits, Challenges and Opptrunities of Cloud
It's a simple presentation I did it with my friend Khawlah Al-Mazyd last year as a one topic should we cover it through doing Advanced Network course.
2010 - King Saud Universty
Riyadh - Saudi Arabia
General discussions
Why cloud?
The terminology: relating virtualization and cloud
Types of Virtualization and Cloud deployment model
Decisive factors in migration
Hands-on cloud deployment
Cloud for banks
Cloud Computing Technology
Cloud Architecture
Cloud Modeling and Design
Foundation Grid
Cloud and Virtualization
Virtualization and Cloud Computing.
Cloud Lifecycle model
The term “Cloud Computing” is a recent buzzword in the IT world. Behind this fancy poetic phrase, there lies a true picture for the future of computing for both in technical prospective and social prospective. However, the term “Cloud Computing” is recent but the idea of centralizing computation and storage in distributed data centers maintained by third party companies is not new but it came in the way back in 1990s along with distributed computing approaches like grid computing. Cloud computing aimed at providing IT as a service to the cloud users on-demand basic with greater flexibility, availability, reliability and scalability with utility computing model. This new paradigm of computing has an immense potential in it to be use in the field of e-governance and in rural development perspective in the developing country like India.
This is a brief introduction to Microsoft Azure cloud. I used these slides in an intro session for developers. I did few demos during the session that not included in the slide. Brand name and logos are properties of their respective owners.
A quick look at how the term Cloud originated, What is Cloud Computing? Cloud Infrastaructure, Cloud: Platforms, Benefits, Challenges and Opptrunities of Cloud
It's a simple presentation I did it with my friend Khawlah Al-Mazyd last year as a one topic should we cover it through doing Advanced Network course.
2010 - King Saud Universty
Riyadh - Saudi Arabia
General discussions
Why cloud?
The terminology: relating virtualization and cloud
Types of Virtualization and Cloud deployment model
Decisive factors in migration
Hands-on cloud deployment
Cloud for banks
Cloud Computing Technology
Cloud Architecture
Cloud Modeling and Design
Foundation Grid
Cloud and Virtualization
Virtualization and Cloud Computing.
Cloud Lifecycle model
The term “Cloud Computing” is a recent buzzword in the IT world. Behind this fancy poetic phrase, there lies a true picture for the future of computing for both in technical prospective and social prospective. However, the term “Cloud Computing” is recent but the idea of centralizing computation and storage in distributed data centers maintained by third party companies is not new but it came in the way back in 1990s along with distributed computing approaches like grid computing. Cloud computing aimed at providing IT as a service to the cloud users on-demand basic with greater flexibility, availability, reliability and scalability with utility computing model. This new paradigm of computing has an immense potential in it to be use in the field of e-governance and in rural development perspective in the developing country like India.
Invited talk on Open Grid Forum standards, focusing specifically on the current status of the Open Cloud Computing Interface (OCCI), given at the US National Institute of Standards and Technology Cloud Computing Forum and Workshop VIII, July 7-10, 2015.
The Cloud Computing Contract Playbook - Contracting for Cloud Services, Sept. 30This account is closed
Gowlings partner Paul Armitage discusses what is and isn’t unique about contracting for cloud services; key terms to look for and the differences between cloud and traditional IT services contacts; what to look for in a cloud services provider and its contract; storing data in the cloud; and tips and best practices for cloud services procurement.
What is the role of cloud computing, web 2.0, and web 3.0 semantic technologi...Mills Davis
The US has a new administration that values transparency, citizen participation, collaboration, information sharing, and internet technology. This presentation maps the role of information and communication technologies (specifically, cloud computing, Web 2.0, and Web 3.0 semantic technologies) in the evolution of government information systems from e-gov (silos with web front ends) to connected governance (e.g. distributed social computing environments for collaborative work, information sharing, knowledge management, and participatory decision-making.)
Lecture #6 - ET-3010
Cloud Computing - Overview and Examples
Connected Services and Cloud Computing
School of Electrical Engineering and Informatics SEEI / STEI
Institut Teknologi Bandung ITB
Update April 2017
Over the past five years, cloud computing has gone from a curiosity to
core scientific technology. The cloud's relative simplicity, instant
availability, and reasonable cost have made it attractive to
scientists, especially in domains relatively new to large scale data
analysis. This trend will continue into the foreseeable future,
challenging resource providers to adapt their services, to provide
easy federation with other providers, and to accommodate many
different scientific disciplines. For developers of cloud services,
there are also many challenges. Efficient access to, and the curation
of large data sets remain largely unsolved problems. Image
management also raises new issues, especially if these images are to
be shared and trusted. This presentation reviews the current status
of cloud computing and presents some ideas on how the upcoming
challenges might be met.
Presented at CNAF in Bologna, Italy by Charles Loomis in May 2013.
This is a overview of Cloud Computing at a basic stage. Being clear, from this, you would not be able to just read and go to deploy a cloud service of your own, but you will get an overview of the concept of one of the most burning topics in IT industry right now.
Some Frameworks for Improving Analytic Operations at Your CompanyRobert Grossman
I review three frameworks for analytic operations that are designed to improve the value obtained when deploying analytic models into products, services and internal operations.
This a talk that I gave at BioIT World West on March 12, 2019. The talk was called: A Gen3 Perspective of Disparate Data:From Pipelines in Data Commons to AI in Data Ecosystems.
Crossing the Analytics Chasm and Getting the Models You Developed DeployedRobert Grossman
There are two cultures in data science and analytics - those that develop analytic models and those that deploy analytic models into operational systems. In this talk, we review the life cycle of analytic models and provide an overview of some of the approaches that have been developed for managing analytic models and workflows and for deploying them, including using analytic engines and analytic containers . We give a quick overview of languages for analytic models (PMML) and analytic workflows (PFA). We also describe the emerging discipline of AnalyticOps that has borrowed some of the techniques of DevOps.
This is an overview of the Data Biosphere Project, its goals, its architecture, and the three core projects that form its foundation. We also discuss data commons.
What is Data Commons and How Can Your Organization Build One?Robert Grossman
This is a talk that I gave at the Molecular Medicine Tri Conference on data commons and data sharing to accelerate research discoveries and improve patient outcomes. It also covers how your organization can build a data commons using the Open Commons Consortium's Data Commons Framework and the University of Chicago's Gen3 data commons platform.
Architectures for Data Commons (XLDB 15 Lightning Talk)Robert Grossman
These are the slides from a 5 minute Lightning Talk that I gave at XLDB 2015 on May 19, 2015 at Stanford. It is based in part on our experiences developing the NCI Genomic Data Commons (GDC).
Practical Methods for Identifying Anomalies That Matter in Large DatasetsRobert Grossman
Robert L. Grossman, Practical Methods for Identifying Anomalies That Matter in Large Datasets, O’Reilly, Strata + Hadoop World, San Jose, California, February 20, 2015.
Adversarial Analytics - 2013 Strata & Hadoop World TalkRobert Grossman
This is a talk I gave at the Strata Conference and Hadoop World in New York City on October 28, 2013. It describes predictive modeling in the context of modeling an adversary's behavior.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Elevating Tactical DDD Patterns Through Object Calisthenics
Cloud Computing Standards and Use Cases (Robert Grossman) 09-v8p
1. Some Cloud Computing Use Cases, An Overview of Some Cloud Computing Standards Organizations, and a Bonus Slide. Robert Grossman blog.rgrossman.com Open Cloud Consortium September 3, 2009 Revised October 9, 2009
2. Outline Some definitions & some high level use cases Some current standards efforts More use cases (community use case document) De Facto Standards
3. If you think of standardization as the best that you know today, but which is to be improved tomorrow; you get somewhere. Henry Ford. Ford assembly plant for Model T at Highland Plant Park around 1915.
4. Sometimes there are reasons for a lack of interoperability… 4 Train gauge in Russia is 1520 mm Train gauge in China is 1435 mm Change of gauge at Ussuriisk (near Vladivostok) at the Chinese –Russian border
7. First Two Use Cases Moving an existing cloud application from Cloud 1 to Cloud 2 without changing the application. Providing surge capacity for an application on Cloud 1 using any of the Clouds 2, 3, … (without changing the application). Migrate / port Surge / burst Cloud 2 Cloud 1
8. Portability Cloud 2 Cloud 1 Portability The ease with which a system, component, application or data can be transferred from one hardware or software environment to another.
9. Migration Cloud 2 Cloud 1 Migration Moving a virtual machine (VM) between physical hosts within a network or virtual network with only a very short pause in execution (c. 50 – 500 ms). More generally, moving a VM between clouds with only a very short pause in execution. More generally, moving a virtual application, virtual network, etc. to a different physical infrastructure with only a very short pause in execution.
10. Interoperability Cloud 2 Cloud 1 Interoperability The ability of two or more systems, applications, or components to exchange and use information. The ability of systems to provide and receive services from other systems and to use the services so interchanged to enable them to operate effectively together. Source: Adopted from the Open Group Architecture Framework (www.opengroup.org )
11. Open Systems A system that implements sufficient open specifications for interfaces, services, and supporting formats to enable properly engineered Application Software: To be ported with minimal changes across a wide range of systems To interoperate with other applications on local and remote systems To interact with users in a style that facilitates user portability Source: The Open Group Architecture Framework (www.opengroup.org )
12. NIST Definition Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Source: http://csrc.nist.gov/groups/SNS/cloud-computing/index.html
13. Delivery & Deployment Models Three delivery models: Software as a Service Platform as a Service Infrastructure as a Service Deployment models Public Clouds Private Clouds Community Clouds Hybrid Clouds Source: http://csrc.nist.gov/groups/SNS/cloud-computing/index.html
27. Cloud Storage ServicesLarge Data Cloud Interoperability Framework IF-MAP based dynamic infrastructure service linking IaaS and DaaS SNIA Cloud Data Management Interface (CDMI) Infrastructure as a Service Virtual Data Centers (VDC) Virtual Networks (VN) Virtual Machines (VM) Open Cloud Computing Interface (OCCI) Open Virtualization Format (OVF)
29. Cloud Standards Group (5 of 9) Wiki at cloud-standards.org Distributed Management Task Force (DMTF) Portability for virtual machine images Storage Networking Industry Association (SNIA) Cloud data management interface Open Grid Forum (OGF) Provisioning and monitoring of IaaS Open Cloud Consortium (OCC) Large data clouds, information sharing between clouds Cloud Security Alliance (CSA) Best practices for providing security within a cloud Source: http://cloud-standards.org
30. Good (Partial) Summary of Efforts Presentations available from NIST, DMTF, SNIA, OGF, OCC, and others athttp://www.omg.org/news/meetings/GOV-WS/css/css.htm
31. Distributed Management Task Force (DMTF) Over 20 vendors including: Citrix, Dell, HP, IBM, Microsoft & VMware Virtualization Management (VMAN) Forum Their multi-vendor Open Virtualization Format (OVF) is the leading standard for portable virtual machines. They have an incubator for cloud www.dmtf.org
32. DMTF Life Cycle Management for VMs Source: DMTF Standards; A Building Block for Cloud Interoperability, Winston Bumpus President, DMTF.
33. Storage Networking Industry Association (SNIA) 40+ active members Working on Cloud Data Management Interface Targeted at ANSI and ISO certification Starting up a Cloud Storage Initiative There is a draft of SNIA Cloud Data Management Interface (CDMI) with reference implementation due at end of CY09 Public web page http://snia.org/cloud
34. SNIA Cloud Storage Containers Cloud storage container is one of their key abstractions Data Storage Interface (DSI_ protocols include: WebDAV, NFS, CIFS, iSCSI, OSD Management interfaces include proprietary, Web UI, SMI-S Source: SNIA Cloud Storage presentation at Cloud Computing Summit OMG Standards in Government and NGO Workshop
35. Open Grid Forum (OGF) Open Grid Forum is leading organization creating grid standards with many members. Many of their standards are oriented towards universities and scientific applications. Focus is on Infrastructure as a Service (IaaS) API. Goal is creation of simple RESTfull API with approximately 15 commands. Four providers and two projects to implement proposed standard. http://www.occi-wg.org
37. OGF Open Cloud Computing Interface (OCCI) Goal is to create RESTfull interfaces for managing IaaS. Source: Craig A. Lee, The Open Cloud Computing Interface for Interoperability Across Clouds, July 13, 2009
38. Open Cloud Consortium (OCC) 501(3)(c) Not-for-profit with over 12 members, including companies, universities, FFRDCs & open source projects. One focus area is on large data cloud services. Another focus is on bridging IaaS and PaaS standards. Operates wide area cloud testbed called the Open Cloud Testbed. Developed a benchmark for large data clouds called MalStone. www.opencloudconsortium.org
39. OCC Large Data Cloud Interoperability large data cloud services App App App App App Cloud Data Services (BigTable, etc.) Quasi-relational Data Services App App OCC is releasing open source reference implementations for interoperability of large data cloud storage and compute services. Cloud Compute Services (MapReduce & Generalizations) App App Cloud Storage Services
40. Cloud Security Alliance (CSA) 20 Corporate members. CSA is an industry advocacy group, not a standards organization. Deliverables are white papers describing best practices and recommendations for secure clouds. www.cloudsecurityalliance.org
43. InterCloud Naming Use Case How do we name virtual machines (VM), virtual networks (VN), and virtual data centers (VDC) so that they can be accessed between clouds? Cloud 2 … Cloud n Cloud 1 Source: Abstracted from some of the discussions at the First Infrastructure 2.0 Working Group Meeting.
44. Large Data Cloud Use Cases Moving a large data cloud application from one large data cloud storage service to another. Moving a large data cloud application from one large data cloud compute service to another. App 1 App 2 Large Data Cloud Compute Services Large Data Cloud Storage Services
45. Inter-Cloud Information Sharing Use Case How do we share information between two clouds with security and compliance requirements (e.g. HIPAA). Cloud 2 Cloud 1
46. Cloud Computing Use Case White Paper cloud enterprise Source: http://groups.google.com/group/cloud-computing-use-cases