Cloud computing opens a broad range of business opportunities across the computing industry and enables companies in other industries to provide services to their employees, customers, and partners. Cloud computing provides a compelling approach to addressing this opportunity. The IBM® SmartCloudTM for Service Providers portfolio can dramatically lower the business and technical barriers of entry to cloud computing. Companies rely on their business applications and systems as an integral part of their business. They can expand the business value of their applications and systems by using cloud computing to enable delivery of these functions as services. Companies have various options when adopting cloud computing. They can: Use existing service providers to operate services on their behalf. Implement hybrid solutions that extend existing applications through integration with cloud services. Add cloud service hosting capability to their existing facilities. For ecosystem partners, cloud computing provides compelling capabilities that ease deployment and long term management and maintenance. Equally important, cloud computing facilitates a more flexible business and technical environment. This environment can expand, contract, and adapt as services are added, removed, and evolve. The cloud replaces physical activity associated with change and change management by creating a fluid environment that adapts through automation. This IBM RedguideTM publication describes the business and technology choices companies make when entering the cloud service provider space. It introduces various cloud service provider business models and shows how to apply them to your business. This guide introduces the IBM CCRA cloud service provider adoption pattern, providing guidance about the definition, architecture, and deployment of cloud computing environments. Two cloud service provider deployment scenarios are highlighted throughout the guide, and they reflect the two most common starting points for service providers entering the cloud computing marketplace. The guide culminates with details about these deployment scenarios, and showing how they can be deployed today.

Organizations are looking for ways to get more out of their already strained IT infrastructure as they face new technological and economic pressures. They are also trying to satisfy a broad set of users (internal and external to the enterprise) who demand improvements in their quality of service (QoS), regardless of increases in the number of users and applications. Cloud computing offers attractive opportunities to reduce costs, accelerate development, and increase the flexibility of the IT infrastructure, applications, and services. Infrastructure as a service (IaaS) is the typical starting point for most organizations when moving to a cloud computing environment. IaaS can be used for the delivery of resources such as compute, storage, and network services through a self-service portal. With IaaS, IT services are delivered as a subscription service, eliminating up-front costs and driving down ongoing support costs. IBM® has defined the Cloud Computing Reference Architecture (CCRA) based on years of experience of working with customers who have implemented cloud-computing solutions. The IBM CCRA is a blueprint or guide for architecting cloud-computing implementations. This IBM RedguideTM publication highlights the Cloud Enabled Data Center adoption pattern and describes how you can use it to define an IaaS solution. This guide is intended for chief technology officers, data center architects, IT architects, and application architects who want to understand the cloud-computing infrastructure necessary to support their applications and services by using an IaaS solution. It explains the technical and business benefits of a Cloud Enabled Data Center solution. It introduces a Cloud Enabled Data Center maturity model where each maturity level corresponds to an increase in the degree of automation and the cloud-computing capabilities that are available. In addition, this guide describes the architectural framework provided by the IBM CCRA and explains details about the Cloud Enabled Data Center adoption pattern.

A practical, user-friendly guide that provides an introduction to cloud computing using IBM SmartCloud, along with a thorough understanding of resource management in a cloud environment.This book is great for anyone who wants to get a grasp of what cloud computing is and what IBM SmartCloud has to offer. If you are an IT specialist, IT architect, system administrator, or a developer who wants to thoroughly understand the cloud computing resource model, this book is ideal for you. No prior knowledge of cloud computing is expected.

Get It ALL With this Extensive SmartCloud Guide. There has never been a SmartCloud Guide like this. It contains 21 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about SmartCloud. A quick look inside of some of the subjects covered: Kaavo - IMOD SaaS, Software as a service Notable service providers, IBM Websphere Studio Application Developer - Overview, Protecode - Partnerships, Cloud computing Since 2000, IBM cloud computing, Virtual appliance - Relationship to infrastructure as a service cloud computing, Lotus Domino - IBM Domino products, Cloud computing - Since 2000, IBM cloud computing - IBM SmartCloud, IBM cloud computing - Milestones, Cloud hosting - Since 2000, IaaS - Since 2000, Microsoft Azure Web Sites - Competitors, IBM cloud computing - History, IBM cloud computing - Public, private and hybrid cloud models, Marist College - IBM partnership, Rational Application Developer - History, IBM Storage - SmartCloud Storage Access, Cloud infrastructure - Since 2000, Rational Application Developer - Overview, IBM Websphere Studio Application Developer - History, LotusLive, and much more...

The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data. This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science. Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples.

Organizations are looking for ways to get more out of their already strained IT infrastructure as they face new technological and economic pressures. They are also trying to satisfy a broad set of users (internal and external to the enterprise) who demand improvements in their quality of service (QoS), regardless of increases in the number of users and applications. Cloud computing offers attractive opportunities to reduce costs, accelerate development, and increase the flexibility of the IT infrastructure, applications, and services. Infrastructure as a service (IaaS) is the typical starting point for most organizations when moving to a cloud-computing environment. IaaS can be used for the delivery of resources such as compute, storage, and network services through a self-service portal. With IaaS, IT services are delivered as a subscription service, eliminating up-front costs and driving down ongoing support costs. Businesses can improve their competitive position by moving to these cloud-based technologies. This IBM® RedpaperTM discusses IBM solutions for managed service providers (MSPs). This paper is for IT professionals who are involved in managed and cloud services solution planning.

This IBM® RedpaperTM publication provides a brief overview of cloud technology, and describes how, from a user perspective, IBM SmartCloudTM Entry can help you access the benefits of the cloud. In particular, the product provides a comprehensive cloud software stack with capabilities that you otherwise might need to purchase separately as multiple products from multiple vendors. Businesses with an existing virtualized platform (IBM Power SystemsTM with PowerVM® or IBM System x with VMware vSphere) can be transformed to a private cloud. IBM SmartCloud Entry makes this transformation possible. IBM SmartCloud Entry integrates with the IBM PureFlexTM System, so that clients with PureFlex System can also experience easier cloud-ready deployments. IBM SmartCloud Entry adds a self-service, user portal, and basic metering to your existing virtualized platform. Overall, IBM SmartCloud Entry delivers improved service levels and fast time-to-value results for receiving the benefits of a private cloud infrastructure. The four use cases demonstrate how easily IBM SmartCloud Entry can be deployed and the possibilities for improved efficiencies in your organization. The cases demonstrate cloud deployment in PureFlex, VMware, Power Systems and x86 environments, and a telecom company. Also described are two IBM SmartCloud Entry processes, showing the ease of provisioning and installing with this product. This paper is directed at decision-makers, such as CFOs, CIOs, CEOs, IT managers, systems administrators, enterprise architects, systems architects, and IBM Business Partners. Presales and post-sales technical staff can benefit from discussing this paper with clients and potential clients.