Ibm Reference Architecture For Genomics Power Systems Edition

Author : Dino Quintero,Luis Bolinches,Marcelo Correia Lima,Katarzyna Pasierb,William dos Santos,IBM Redbooks
Publisher : IBM Redbooks
Page : 140 pages
File Size : 48,5 Mb
Release : 2016-04-05
Category : Computers
ISBN : 9780738441634

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IBM Reference Architecture for Genomics, Power Systems Edition by Dino Quintero,Luis Bolinches,Marcelo Correia Lima,Katarzyna Pasierb,William dos Santos,IBM Redbooks Pdf

This IBM® Redbooks® publication introduces the IBM Reference Architecture for Genomics, IBM Power SystemsTM edition on IBM POWER8®. It addresses topics such as why you would implement Life Sciences workloads on IBM POWER8, and shows how to use such solution to run Life Sciences workloads using IBM PlatformTM Computing software to help set up the workloads. It also provides technical content to introduce the IBM POWER8 clustered solution for Life Sciences workloads. This book customizes and tests Life Sciences workloads with a combination of an IBM Platform Computing software solution stack, Open Stack, and third party applications. All of these applications use IBM POWER8, and IBM Spectrum ScaleTM for a high performance file system. This book helps strengthen IBM Life Sciences solutions on IBM POWER8 with a well-defined and documented deployment model within an IBM Platform Computing and an IBM POWER8 clustered environment. This system provides clients in need of a modular, cost-effective, and robust solution with a planned foundation for future growth. This book highlights IBM POWER8 as a flexible infrastructure for clients looking to deploy life sciences workloads, and at the same time reduce capital expenditures, operational expenditures, and optimization of resources. This book helps answer clients' workload challenges in particular with Life Sciences applications, and provides expert-level documentation and how-to-skills to worldwide teams that provide Life Sciences solutions and support to give a broad understanding of a new architecture.

Author : Dino Quintero
Publisher : Unknown
Page : 128 pages
File Size : 45,6 Mb
Release : 2016
Category : IBM Power systems
ISBN : OCLC:949231263

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IBM Reference Architecture for Genomics, Power Systems Edition by Dino Quintero Pdf

Author : Dino Quintero,Frank N. Lee,IBM Redbooks
Publisher : IBM Redbooks
Page : 88 pages
File Size : 47,7 Mb
Release : 2019-09-08
Category : Computers
ISBN : 9780738456904

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IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences by Dino Quintero,Frank N. Lee,IBM Redbooks Pdf

This IBM® Redpaper publication provides an update to the original description of IBM Reference Architecture for Genomics. This paper expands the reference architecture to cover all of the major vertical areas of healthcare and life sciences industries, such as genomics, imaging, and clinical and translational research. The architecture was renamed IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences to reflect the fact that it incorporates key building blocks for high-performance computing (HPC) and software-defined storage, and that it supports an expanding infrastructure of leading industry partners, platforms, and frameworks. The reference architecture defines a highly flexible, scalable, and cost-effective platform for accessing, managing, storing, sharing, integrating, and analyzing big data, which can be deployed on-premises, in the cloud, or as a hybrid of the two. IT organizations can use the reference architecture as a high-level guide for overcoming data management challenges and processing bottlenecks that are frequently encountered in personalized healthcare initiatives, and in compute-intensive and data-intensive biomedical workloads. This reference architecture also provides a framework and context for modern healthcare and life sciences institutions to adopt cutting-edge technologies, such as cognitive life sciences solutions, machine learning and deep learning, Spark for analytics, and cloud computing. To illustrate these points, this paper includes case studies describing how clients and IBM Business Partners alike used the reference architecture in the deployments of demanding infrastructures for precision medicine. This publication targets technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing life sciences solutions and support.

Author : Joanna Wong,Kevin Gildea,Kumaran Rajaram,Luis Bolinches,Monica Lemay,Piyush Chaudhary,Sandeep R. Patil,Ulf Troppens,IBM Redbooks
Publisher : IBM Redbooks
Page : 78 pages
File Size : 42,9 Mb
Release : 2018-04-25
Category : Computers
ISBN : 9780738456751

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IBM Spectrum Scale Best Practices for Genomics Medicine Workloads by Joanna Wong,Kevin Gildea,Kumaran Rajaram,Luis Bolinches,Monica Lemay,Piyush Chaudhary,Sandeep R. Patil,Ulf Troppens,IBM Redbooks Pdf

Advancing the science of medicine by targeting a disease more precisely with treatment specific to each patient relies on access to that patient's genomics information and the ability to process massive amounts of genomics data quickly. Although genomics data is becoming a critical source for precision medicine, it is expected to create an expanding data ecosystem. Therefore, hospitals, genome centers, medical research centers, and other clinical institutes need to explore new methods of storing, accessing, securing, managing, sharing, and analyzing significant amounts of data. Healthcare and life sciences organizations that are running data-intensive genomics workloads on an IT infrastructure that lacks scalability, flexibility, performance, management, and cognitive capabilities also need to modernize and transform their infrastructure to support current and future requirements. IBM® offers an integrated solution for genomics that is based on composable infrastructure. This solution enables administrators to build an IT environment in a way that disaggregates the underlying compute, storage, and network resources. Such a composable building block based solution for genomics addresses the most complex data management aspect and allows organizations to store, access, manage, and share huge volumes of genome sequencing data. IBM SpectrumTM Scale is software-defined storage that is used to manage storage and provide massive scale, a global namespace, and high-performance data access with many enterprise features. IBM Spectrum ScaleTM is used in clustered environments, provides unified access to data via file protocols (POSIX, NFS, and SMB) and object protocols (Swift and S3), and supports analytic workloads via HDFS connectors. Deploying IBM Spectrum Scale and IBM Elastic StorageTM Server (IBM ESS) as a composable storage building block in a Genomics Next Generation Sequencing deployment offers key benefits of performance, scalability, analytics, and collaboration via multiple protocols. This IBM RedpaperTM publication describes a composable solution with detailed architecture definitions for storage, compute, and networking services for genomics next generation sequencing that enable solution architects to benefit from tried-and-tested deployments, to quickly plan and design an end-to-end infrastructure deployment. The preferred practices and fully tested recommendations described in this paper are derived from running GATK Best Practices work flow from the Broad Institute. The scenarios provide all that is required, including ready-to-use configuration and tuning templates for the different building blocks (compute, network, and storage), that can enable simpler deployment and that can enlarge the level of assurance over the performance for genomics workloads. The solution is designed to be elastic in nature, and the disaggregation of the building blocks allows IT administrators to easily and optimally configure the solution with maximum flexibility. The intended audience for this paper is technical decision makers, IT architects, deployment engineers, and administrators who are working in the healthcare domain and who are working on genomics-based workloads.

Author : Dino Quintero,Luis Carlos Cruz,Ricardo Machado Picone,Dusan Smolej,Daniel de Souza Casali,Gheorghe Tudor,Joanna Wong,IBM Redbooks
Publisher : IBM Redbooks
Page : 202 pages
File Size : 49,7 Mb
Release : 2014-09-30
Category : Computers
ISBN : 9780738439471

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IBM Platform Computing Solutions Reference Architectures and Best Practices by Dino Quintero,Luis Carlos Cruz,Ricardo Machado Picone,Dusan Smolej,Daniel de Souza Casali,Gheorghe Tudor,Joanna Wong,IBM Redbooks Pdf

This IBM® Redbooks® publication demonstrates and documents that the combination of IBM System x®, IBM GPFSTM, IBM GPFS-FPO, IBM Platform Symphony®, IBM Platform HPC, IBM Platform LSF®, IBM Platform Cluster Manager Standard Edition, and IBM Platform Cluster Manager Advanced Edition deliver significant value to clients in need of cost-effective, highly scalable, and robust solutions. IBM depth of solutions can help the clients plan a foundation to face challenges in how to manage, maintain, enhance, and provision computing environments to, for example, analyze the growing volumes of data within their organizations. This IBM Redbooks publication addresses topics to educate, reiterate, confirm, and strengthen the widely held opinion of IBM Platform Computing as the systems software platform of choice within an IBM System x environment for deploying and managing environments that help clients solve challenging technical and business problems. This IBM Redbooks publication addresses topics to that help answer customer's complex challenge requirements to manage, maintain, and analyze the growing volumes of data within their organizations and provide expert-level documentation to transfer the how-to-skills to the worldwide support teams. This IBM Redbooks publication is targeted toward technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for delivering cost-effective computing solutions that help optimize business results, product development, and scientific discoveries.

Author : Brian Herr,Farida Yaragatti,Jay Vaddi,John Sing,Jonathan Terner,Luis Bolinches,Mary Jane Zajac,Puneet Chaudhary,Ravindra Sure,Ricardo D. Zamora Ruvalcaba,Robert Guthrie,Shradha Thakare,Stephen M Tee,Steve Duersch,Sukumar Vankadhara,Sumit Kumar,Todd M Tosseth,Van Smith,Vasfi Gucer,Wesley Jones,IBM Redbooks
Publisher : IBM Redbooks
Page : 130 pages
File Size : 49,9 Mb
Release : 2020-12-08
Category : Computers
ISBN : 9780738459226

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Implementation Guide for IBM Elastic Storage System 5000 by Brian Herr,Farida Yaragatti,Jay Vaddi,John Sing,Jonathan Terner,Luis Bolinches,Mary Jane Zajac,Puneet Chaudhary,Ravindra Sure,Ricardo D. Zamora Ruvalcaba,Robert Guthrie,Shradha Thakare,Stephen M Tee,Steve Duersch,Sukumar Vankadhara,Sumit Kumar,Todd M Tosseth,Van Smith,Vasfi Gucer,Wesley Jones,IBM Redbooks Pdf

This IBM® Redbooks® publication introduces and describes the IBM Elastic Storage® Server 5000 (ESS 5000) as a scalable, high-performance data and file management solution. The solution is built on proven IBM Spectrum® Scale technology, formerly IBM General Parallel File System (IBM GPFS). ESS is a modern implementation of software-defined storage, making it easier for you to deploy fast, highly scalable storage for AI and big data. With the lightning-fast NVMe storage technology and industry-leading file management capabilities of IBM Spectrum Scale, the ESS 3000 and ESS 5000 nodes can grow to over YB scalability and can be integrated into a federated global storage system. By consolidating storage requirements from the edge to the core data center — including kubernetes and Red Hat OpenShift — IBM ESS can reduce inefficiency, lower acquisition costs, simplify storage management, eliminate data silos, support multiple demanding workloads, and deliver high performance throughout your organization. This book provides a technical overview of the ESS 5000 solution and helps you to plan the installation of the environment. We also explain the use cases where we believe it fits best. Our goal is to position this book as the starting point document for customers that would use the ESS 5000 as part of their IBM Spectrum Scale setups. This book is targeted toward technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for delivering cost-effective storage solutions with ESS 5000.

Author : Dino Quintero,Rodrigo Ceron Ferreira de Castro,Murali Dhandapani,Rodrigo Garcia da Silva,Amitava Ghosal,Victor Hu,Hua Chen Li,Kailash Marthi,Shao Feng Shi,Stefan Velica,IBM Redbooks
Publisher : IBM Redbooks
Page : 266 pages
File Size : 55,8 Mb
Release : 2013-10-28
Category : Computers
ISBN : 9780738438788

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IBM Technical Computing Clouds by Dino Quintero,Rodrigo Ceron Ferreira de Castro,Murali Dhandapani,Rodrigo Garcia da Silva,Amitava Ghosal,Victor Hu,Hua Chen Li,Kailash Marthi,Shao Feng Shi,Stefan Velica,IBM Redbooks Pdf

This IBM® Redbooks® publication highlights IBM Technical Computing as a flexible infrastructure for clients looking to reduce capital and operational expenditures, optimize energy usage, or re-use the infrastructure. This book strengthens IBM SmartCloud® solutions, in particular IBM Technical Computing clouds, with a well-defined and documented deployment model within an IBM System x® or an IBM Flex SystemTM. This provides clients with a cost-effective, highly scalable, robust solution with a planned foundation for scaling, capacity, resilience, optimization, automation, and monitoring. This book is targeted toward technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) responsible for providing cloud-computing solutions and support.

Author : Joseph Dain,Abeer Selim,Anil Patil,Christopher Vollmar,Flavio de Rezende,Frank Greco,Frank N. Lee,Isom Crawford Jr.,Ivaylo B. Bozhinov,Joanna Wong,Joshua Blumert,Larry Coyne,IBM Redbooks
Publisher : IBM Redbooks
Page : 108 pages
File Size : 41,9 Mb
Release : 2020-08-11
Category : Computers
ISBN : 9780738459028

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Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover by Joseph Dain,Abeer Selim,Anil Patil,Christopher Vollmar,Flavio de Rezende,Frank Greco,Frank N. Lee,Isom Crawford Jr.,Ivaylo B. Bozhinov,Joanna Wong,Joshua Blumert,Larry Coyne,IBM Redbooks Pdf

This IBM® Redpaper publication explains how IBM Spectrum® Discover integrates with the IBM Watson® Knowledge Catalog (WKC) component of IBM Cloud® Pak for Data (IBM CP4D) to make the enriched catalog content in IBM Spectrum Discover along with the associated data available in WKC and IBM CP4D. From an end-to-end IBM solution point of view, IBM CP4D and WKC provide state-of-the-art data governance, collaboration, and artificial intelligence (AI) and analytics tools, and IBM Spectrum Discover complements these features by adding support for unstructured data on large-scale file and object storage systems on premises and in the cloud. Many organizations face challenges to manage unstructured data. Some challenges that companies face include: Pinpointing and activating relevant data for large-scale analytics, machine learning (ML) and deep learning (DL) workloads. Lacking the fine-grained visibility that is needed to map data to business priorities. Removing redundant, obsolete, and trivial (ROT) data and identifying data that can be moved to a lower-cost storage tier. Identifying and classifying sensitive data as it relates to various compliance mandates, such as the General Data Privacy Regulation (GDPR), Payment Card Industry Data Security Standards (PCI-DSS), and the Health Information Portability and Accountability Act (HIPAA). This paper describes how IBM Spectrum Discover provides seamless integration of data in IBM Storage with IBM Watson Knowledge Catalog (WKC). Features include: Event-based cataloging and tagging of unstructured data across the enterprise. Automatically inspecting and classifying over 1000 unstructured data types, including genomics and imaging specific file formats. Automatically registering assets with WKC based on IBM Spectrum Discover search and filter criteria, and by using assets in IBM CP4D. Enforcing data governance policies in WKC in IBM CP4D based on insights from IBM Spectrum Discover, and using assets in IBM CP4D. Several in-depth use cases are used that show examples of healthcare, life sciences, and financial services. IBM Spectrum Discover integration with WKC enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of data. The integration improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.

Author : Dino Quintero,Bing He,Bruno C. Faria,Alfonso Jara,Chris Parsons,Shota Tsukamoto,Richard Wale,IBM Redbooks
Publisher : IBM Redbooks
Page : 278 pages
File Size : 49,7 Mb
Release : 2019-06-05
Category : Computers
ISBN : 9780738442945

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IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers by Dino Quintero,Bing He,Bruno C. Faria,Alfonso Jara,Chris Parsons,Shota Tsukamoto,Richard Wale,IBM Redbooks Pdf

This IBM® Redbooks® publication is a guide about the IBM PowerAI Deep Learning solution. This book provides an introduction to artificial intelligence (AI) and deep learning (DL), IBM PowerAI, and components of IBM PowerAI, deploying IBM PowerAI, guidelines for working with data and creating models, an introduction to IBM SpectrumTM Conductor Deep Learning Impact (DLI), and case scenarios. IBM PowerAI started as a package of software distributions of many of the major DL software frameworks for model training, such as TensorFlow, Caffe, Torch, Theano, and the associated libraries, such as CUDA Deep Neural Network (cuDNN). The IBM PowerAI software is optimized for performance by using the IBM Power SystemsTM servers that are integrated with NVLink. The AI stack foundation starts with servers with accelerators. graphical processing unit (GPU) accelerators are well-suited for the compute-intensive nature of DL training, and servers with the highest CPU to GPU bandwidth, such as IBM Power Systems servers, enable the high-performance data transfer that is required for larger and more complex DL models. This publication targets technical readers, including developers, IT specialists, systems architects, brand specialist, sales team, and anyone looking for a guide about how to understand the IBM PowerAI Deep Learning architecture, framework configuration, application and workload configuration, and user infrastructure.

Author : Larry Coyne,Joe Dain,Eric Forestier,Patrizia Guaitani,Robert Haas,Christopher D. Maestas,Antoine Maille,Tony Pearson,Brian Sherman,Christopher Vollmar,IBM Redbooks
Publisher : IBM Redbooks
Page : 158 pages
File Size : 44,6 Mb
Release : 2018-07-21
Category : Computers
ISBN : 9780738457055

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IBM Software-Defined Storage Guide by Larry Coyne,Joe Dain,Eric Forestier,Patrizia Guaitani,Robert Haas,Christopher D. Maestas,Antoine Maille,Tony Pearson,Brian Sherman,Christopher Vollmar,IBM Redbooks Pdf

Today, new business models in the marketplace coexist with traditional ones and their well-established IT architectures. They generate new business needs and new IT requirements that can only be satisfied by new service models and new technological approaches. These changes are reshaping traditional IT concepts. Cloud in its three main variants (Public, Hybrid, and Private) represents the major and most viable answer to those IT requirements, and software-defined infrastructure (SDI) is its major technological enabler. IBM® technology, with its rich and complete set of storage hardware and software products, supports SDI both in an open standard framework and in other vendors' environments. IBM services are able to deliver solutions to the customers with their extensive knowledge of the topic and the experiences gained in partnership with clients. This IBM RedpaperTM publication focuses on software-defined storage (SDS) and IBM Storage Systems product offerings for software-defined environments (SDEs). It also provides use case examples across various industries that cover different client needs, proposed solutions, and results. This paper can help you to understand current organizational capabilities and challenges, and to identify specific business objectives to be achieved by implementing an SDS solution in your enterprise.

Author : Dino Quintero,Scott Denham,Rodrigo Garcia da Silva,Alberto Ortiz,Aline Guedes Pinto,Atsumori Sasaki,Roger Tucker,Joanna Wong,Elsie Ramos,IBM Redbooks
Publisher : IBM Redbooks
Page : 370 pages
File Size : 53,9 Mb
Release : 2012-12-07
Category : Computers
ISBN : 9780738437484

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IBM Platform Computing Solutions by Dino Quintero,Scott Denham,Rodrigo Garcia da Silva,Alberto Ortiz,Aline Guedes Pinto,Atsumori Sasaki,Roger Tucker,Joanna Wong,Elsie Ramos,IBM Redbooks Pdf

This IBM® Platform Computing Solutions Redbooks® publication is the first book to describe each of the available offerings that are part of the IBM portfolio of Cloud, analytics, and High Performance Computing (HPC) solutions for our clients. This IBM Redbooks publication delivers descriptions of the available offerings from IBM Platform Computing that address challenges for our clients in each industry. We include a few implementation and testing scenarios with selected solutions. This publication helps strengthen the position of IBM Platform Computing solutions with a well-defined and documented deployment model within an IBM System x® environment. This deployment model offers clients a planned foundation for dynamic cloud infrastructure, provisioning, large-scale parallel HPC application development, cluster management, and grid applications. This IBM publication is targeted to IT specialists, IT architects, support personnel, and clients. This book is intended for anyone who wants information about how IBM Platform Computing solutions use IBM to provide a wide array of client solutions.

Author : Dr. Alfio Gliozzo,Chris Ackerson,Rajib Bhattacharya,Addison Goering,Albert Jumba,Seung Yeon Kim,Laksh Krishnamurthy,Thanh Lam,Angelo Littera,Iain McIntosh,Srini Murthy,Marcel Ribas,IBM Redbooks
Publisher : IBM Redbooks
Page : 132 pages
File Size : 51,7 Mb
Release : 2017-06-23
Category : Computers
ISBN : 9780738442648

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Building Cognitive Applications with IBM Watson Services: Volume 1 Getting Started by Dr. Alfio Gliozzo,Chris Ackerson,Rajib Bhattacharya,Addison Goering,Albert Jumba,Seung Yeon Kim,Laksh Krishnamurthy,Thanh Lam,Angelo Littera,Iain McIntosh,Srini Murthy,Marcel Ribas,IBM Redbooks Pdf

The Building Cognitive Applications with IBM Watson Services series is a seven-volume collection that introduces IBM® WatsonTM cognitive computing services. The series includes an overview of specific IBM Watson® services with their associated architectures and simple code examples. Each volume describes how you can use and implement these services in your applications through practical use cases. The series includes the following volumes: Volume 1 Getting Started, SG24-8387 Volume 2 Conversation, SG24-8394 Volume 3 Visual Recognition, SG24-8393 Volume 4 Natural Language Classifier, SG24-8391 Volume 5 Language Translator, SG24-8392 Volume 6 Speech to Text and Text to Speech, SG24-8388 Volume 7 Natural Language Understanding, SG24-8398 Whether you are a beginner or an experienced developer, this collection provides the information you need to start your research on Watson services. If your goal is to become more familiar with Watson in relation to your current environment, or if you are evaluating cognitive computing, this collection can serve as a powerful learning tool. This IBM Redbooks® publication, Volume 1, introduces cognitive computing, its motivating factors, history, and basic concepts. This volume describes the industry landscape for cognitive computing and introduces Watson, the cognitive computing offering from IBM. It also describes the nature of the question-answering (QA) challenge that is represented by the Jeopardy! quiz game and it provides a high-level overview of the QA system architecture (DeepQA), developed for Watson to play the game. This volume charts the evolution of the Watson Developer Cloud, from the initial DeepQA implementation. This book also introduces the concept of domain adaptation and the processes that must be followed to adapt the various Watson services to specific domains.

Author : Peter Eeles,Peter Cripps
Publisher : Pearson Education
Page : 496 pages
File Size : 40,8 Mb
Release : 2009-07-14
Category : Computers
ISBN : 9780321617460

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The Process of Software Architecting by Peter Eeles,Peter Cripps Pdf

A Comprehensive Process for Defining Software Architectures That Work A good software architecture is the foundation of any successful software system. Effective architecting requires a clear understanding of organizational roles, artifacts, activities performed, and the optimal sequence for performing those activities. With The Process of Software Architecting, Peter Eeles and Peter Cripps provide guidance on these challenges by covering all aspects of architecting a software system, introducing best-practice techniques that apply in every environment, whether based on Java EE, Microsoft .NET, or other technologies. Eeles and Cripps first illuminate concepts related to software architecture, including architecture documentation and reusable assets. Next, they present an accessible, task-focused guided tour through a typical project, focusing on the architect’s role, with common issues illuminated and addressed throughout. Finally, they conclude with a set of best practices that can be applied to today’s most complex systems. You will come away from this book understanding The role of the architect in a typical software development project How to document a software architecture to satisfy the needs of different stakeholders The applicability of reusable assets in the process of architecting The role of the architect with respect to requirements definition The derivation of an architecture based on a set of requirements The relevance of architecting in creating complex systems The Process of Software Architecting will be an indispensable resource for every working and aspiring software architect—and for every project manager and other software professional who needs to understand how architecture influences their work.

Author : David A. Patterson,John L. Hennessy
Publisher : Morgan Kaufmann
Page : 696 pages
File Size : 47,8 Mb
Release : 2017-05-12
Category : Computers
ISBN : 9780128122761

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Computer Organization and Design RISC-V Edition by David A. Patterson,John L. Hennessy Pdf

The new RISC-V Edition of Computer Organization and Design features the RISC-V open source instruction set architecture, the first open source architecture designed to be used in modern computing environments such as cloud computing, mobile devices, and other embedded systems. With the post-PC era now upon us, Computer Organization and Design moves forward to explore this generational change with examples, exercises, and material highlighting the emergence of mobile computing and the Cloud. Updated content featuring tablet computers, Cloud infrastructure, and the x86 (cloud computing) and ARM (mobile computing devices) architectures is included. An online companion Web site provides advanced content for further study, appendices, glossary, references, and recommended reading. Features RISC-V, the first such architecture designed to be used in modern computing environments, such as cloud computing, mobile devices, and other embedded systems Includes relevant examples, exercises, and material highlighting the emergence of mobile computing and the cloud

Author : Vasfi Gucer,Chris de Almeida,Joe Dorio,Israel Feygelman,Max Huber,Michael Knieriemen,Lars Lauber,Jussi Lehtinen,Jaswinder Singh Saini,IBM Redbooks
Publisher : IBM Redbooks
Page : 214 pages
File Size : 54,6 Mb
Release : 2023-06-14
Category : Computers
ISBN : 9780738460130

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IBM Cloud Object Storage System Product Guide by Vasfi Gucer,Chris de Almeida,Joe Dorio,Israel Feygelman,Max Huber,Michael Knieriemen,Lars Lauber,Jussi Lehtinen,Jaswinder Singh Saini,IBM Redbooks Pdf

Object storage is the primary storage solution that is used in the cloud and on-premises solutions as a central storage platform for unstructured data. IBM Cloud Object Storage is a software-defined storage (SDS) platform that breaks down barriers for storing massive amounts of data by optimizing the placement of data on commodity x86 servers across the enterprise. This IBM Redbooks® publication describes the major features, use case scenarios, deployment options, configuration details, initial customization, performance, and scalability considerations of IBM Cloud Object Storage on-premises offering. For more information about the IBM Cloud Object Storage architecture and technology that is behind the product, see IBM Cloud Object Storage Concepts and Architecture , REDP-5537. The target audience for this publication is IBM Cloud Object Storage IT specialists and storage administrators.