data storage

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By: Intel     Published Date: Aug 06, 2014
Designing a large-scale, high-performance data storage system presents significant challenges. This paper describes a step-by-step approach to designing such a system and presents an iterative methodology that applies at both the component level and the system level. A detailed case study using the methodology described to design a Lustre storage system is presented.
Tags : intel, high performance storage
     Intel
By: Intel     Published Date: Aug 06, 2014
Powering Big Data Workloads with Intel® Enterprise Edition for Lustre* software The Intel® portfolio for high-performance computing provides the following technology solutions: • Compute - The Intel® Xeon processor E7 family provides a leap forward for every discipline that depends on HPC, with industry-leading performance and improved performance per watt. Add Intel® Xeon Phi coprocessors to your clusters and workstations to increase performance for highly parallel applications and code segments. Each coprocessor can add over a teraflop of performance and is compatible with software written for the Intel® Xeon processor E7 family. You don’t need to rewrite code or master new development tools. • Storage - High performance, highly scalable storage solutions with Intel® Enterprise Edition for Lustre* software and Intel® Xeon Processor E7 based storage systems for centralized storage. Reliable and responsive local storage with Intel® Solid State Drives. • Networking - Intel® True Scale Fabric and Networking technologies – Built for HPC to deliver fast message rates and low latency. • Software and Tools: A broad range of software and tools to optimize and parallelize your software and clusters.
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     Intel
By: IBM     Published Date: Jun 05, 2014
This book examines data storage and management challenges and explains software-defined storage, an innovative solution for high-performance, cost-effective storage using the IBM General Parallel File System (GPFS).
Tags : ibm
     IBM
By: IBM     Published Date: Sep 02, 2014
Learn how GPFS accelerates data intensive work flows and lowers storage costs in Life Sciences, Energy Exploration, Government, Media & Entertainment and Financial Services by removing data related bottlenecks, simplifying data management at scale, empowering global collaboration, managing the full data life cycle cost effectively and ensuring end-to-end data availability, reliability, and integrity.
Tags : ibm, complete storage solution, gpfs
     IBM
By: IBM     Published Date: Sep 02, 2014
This brief webcast will cover the new and enhanced capabilities of Elastic Storage 4.1, including native encryption and secure erase, flash-accelerated performance, network performance monitoring, global data sharing, NFS data migration and more. IBM GPFS (Elastic storage) may be the key to improving your organization's effectiveness and can help define a clear data management strategy for future data growth and support.
Tags : ibm, elastic storage
     IBM
By: IBM     Published Date: Sep 16, 2015
The IBM Spectrum Scale solution provided for up to 11x better throughput results than EMC Isilon for Spectrum Protect (TSM) workloads. Using published data, Edison compared a solution comprised of EMC® Isilon® against an IBM® Spectrum Scale™ solution. (IBM Spectrum Scale was formerly IBM® General Parallel File System™ or IBM® GPFS™, also known as code name Elastic Storage). For both solutions, IBM® Spectrum Protect™ (formerly IBM Tivoli® Storage Manager or IBM® TSM®) is used as a common workload performing the backups to target storage systems evaluated.
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     IBM
By: IBM     Published Date: Sep 16, 2015
6 criteria for evaluating a high-performance cloud services providers Engineering, scientific, analytics, big data and research workloads place extraordinary demands on technical and high-performance computing (HPC) infrastructure. Supporting these workloads can be especially challenging for organizations that have unpredictable spikes in resource demand, or need access to additional compute or storage resources for a project or to support a growing business. Software Defined Infrastructure (SDI) enables organizations to deliver HPC services in the most efficient way possible, optimizing resource utilization to accelerate time to results and reduce costs. SDI is the foundation for a fully integrated environment, optimizing compute, storage and networking infrastructure to quickly adapt to changing business requirements, and dynamically managing workloads and data, transforming a s
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     IBM
By: Seagate     Published Date: Sep 30, 2015
Although high-performance computing (HPC) often stands apart from a typical IT infrastructure—it uses highly specialized scale-out compute, networking and storage resources—it shares with mainstream IT the ability to push data center capacity to the breaking point. Much of this is due to data center inefficiencies caused by HPC storage growth. The Seagate® ClusterStor™ approach to scale-out HPC storage can significantly improve data center efficiency. No other vendor solution offers the same advantages.
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     Seagate
By: Intel     Published Date: Sep 16, 2014
In this Guide, we take a look at what an HPC solution like Lustre can deliver for a broad community of business and commercial organizations struggling with the challenge of big data and demanding storage growth.
Tags : intel, lustre*, solution for business
     Intel
By: IBM     Published Date: Nov 14, 2014
This book examines data storage and management challenges and explains software-defined storage, an innovative solution for high-performance, cost-effective storage using the IBM General Parallel File System (GPFS).
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     IBM
By: Panasas     Published Date: Oct 02, 2014
HPC and technical computing environments require the collection, storage,and transmission of large-scale datasets. To meet these demands, datacenter architects must consider how increasing storage capacity over time will affect HPC workloads, performance, and system availability. While many enterprises have looked to scale-up NAS to meet their storage needs, this approach can lead to data islands that make it difficult to share data. Distributed, scale-out storage was developed to get around the technology limitations of scale-up NAS architectures.
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     Panasas
By: Dell and Intel®     Published Date: Nov 18, 2015
Unleash the extreme performance and scalability of the Lustre® parallel file system for high performance computing (HPC) workloads, including technical ‘big data’ applications common within today’s enterprises. The Dell Storage for HPC with Intel® Enterprise Edition (EE) for Lustre Solution allows end-users that need the benefits of large–scale, high bandwidth storage to tap the power and scalability of Lustre, with its simplified installation, configuration, and management features that are backed by Dell and Intel®.
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     Dell and Intel®
By: Data Direct Networks     Published Date: Dec 31, 2015
Using high performance parallel storage solutions, geologists and researchers can now incorporate larger data sets and execute more seismic and reservoir simulations faster than ever before, enabling higher fidelity geological analysis and significantly reduced exploration risk. With high costs of exploration, oil and gas companies are increasingly turning to high performance DDN storage solutions to eliminate I/O bottlenecks, minimize risk and costs, while delivering a larger number of higher fidelity simulations in same time as traditional storage architectures.
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     Data Direct Networks
By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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     Hewlett Packard Enterprise
By: Intel     Published Date: Sep 27, 2019
As data constantly changes and expands, data centers increasingly face capacity, performance, and cost limitations related to existing memory and storage solutions. Intel Optane data center (DC) technology addresses these challenges by placing data closer to the CPU and closing the gap between traditional memory and storage options, thus transforming the memory and storage tier.
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     Intel
By: Intel     Published Date: Sep 30, 2019
Mountains of data promise valuable insights and innovation for businesses that rethink and redesign their system architectures. But companies that don’t re-architect might find themselves scrambling just to keep from being buried in the avalanche of data. The problem is not just in storing raw data, though. For businesses to stay competitive, they need to quickly and cost-effectively access and process all that data for business insights, research, artificial intelligence (AI), and other uses. Both memory and storage are required to enable this level of processing, and companies struggle to balance high costs against limited capacities and performance constraints. The challenge is even more daunting because different types of memory and storage are required for different workloads. Furthermore, multiple technologies might be used together to achieve the optimal tradeoff in cost versus performance. Intel is addressing these challenges with new memory and storage technologies that emp
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     Intel
By: Infinidat EMEA     Published Date: May 14, 2019
Digital transformation is a business enabler, one that also translates to an increase in the demand for greater storage capacity and performance. This increasing demand requires IT organizations to re-examine their data storage strategy as the growth in capacity doesn’t align with a shrinking IT budget. To support the growth of the business and remain competitive in a global digital market, CIOs are asked more than ever to “do more with less,” while improving performance and availability at the same time.
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     Infinidat EMEA
By: Infinidat EMEA     Published Date: May 14, 2019
Infinidat provides the difference you seek in a data storage solution for media and entertainment organizations. New demands have everyone in the industry feeling the impact of high latency storage and its impact on efficiently delivering speed to market on new and dense workload management. The Infinidat unified storage architecture enables the scale, performance and best overall TCO required to deliver an extreme competitive advantage to media and entertainment companies.
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     Infinidat EMEA
By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
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     Infinidat EMEA
By: Infinidat EMEA     Published Date: May 14, 2019
Continuous data availability is a key business continuity requirement for storage systems. It ensures protection against downtime in case of serious incidents or disasters and enables recovery to an operational state within a reasonably short period. To ensure continuous availability, storage solutions need to meet resiliency, recovery, and contingency requirements outlined by the organization.
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     Infinidat EMEA
By: Infinidat EMEA     Published Date: May 14, 2019
Even after decades of industry and technology advancements, there still is no universal, integrated storage solution that can reduce risk, enable profitability, eliminate complexity and seamlessly integrate into the way businesses operate and manage data at scale? To reach these goals, there are capabilities that are required to achieve the optimum results at the lowest cost. These capabilities include availability, reliability, performance, density, manageability and application ecosystem integration? This paper outlines a better way to think about storing data at scale—solving these problems not only today, but well into the future?
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     Infinidat EMEA
By: Infinidat EMEA     Published Date: May 14, 2019
Infinidat® enterprise storage solutions are based upon the unique and patented Infinidat storage architecture—A fully abstracted set of Software-Defined Storage (SDS) functions integrated with the best-of-breed off-the-shelf commodity hardware. Infinidat’s software-focused architecture, an evolution and revolution in data management design over 30 years in the making, solves the conflicting requirements of bigger, faster, and less expensive. This paper discusses the technology that enables Infinidat to be the only enterprise storage provider that achieves multi-petabyte capacity with faster than all-flash performance (over 1.3M IOPS at microsecond latency) and an unprecedented seven-nines availability, all at the lowest Total Cost of Ownership (TCO).
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     Infinidat EMEA
By: Infinidat EMEA     Published Date: May 14, 2019
Databases represent the backbone of most organizations. And Oracle databases in particular have become the mainstream data repository for most mission-critical environments. Some of the largest companies and organizations in the world rely on Oracle databases to store their most important data. The biggest challenge organizations face relative to an Oracle database is to maintain these databases at optimum performance and reliability without breaking the bank. This paper discusses the storage capabilities customers should consider when choosing storage to support an Oracle database environment.
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     Infinidat EMEA
By: Infinidat EMEA     Published Date: May 14, 2019
Data continues to grow at an astounding pace? As a result, data center space is becoming more scarce, as more arrays are acquired to store all of this data. Along with this data taking up space, it is also utilizing a great deal of power and cooling. In fact, the average data center in the U.S. uses approximately 34,000 kW of electricity each year, costing $180,000 in annual energy costs. As Infinidat set out to revolutionize the storage industry, one of our goals was to help consumers of storage build a more sustainable infrastructure that would be not only better for the environment, but also help them to save money as well. All of our patents come together to form InfiniBox, a storage solution that does just this.
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     Infinidat EMEA
By: Infinidat EMEA     Published Date: May 14, 2019
Data is the DNA of modern healthcare. As healthcare technology continues to evolve at a rapid pace, and patient data management and security evolve, emerging approaches for disease treatment and prevention—like precision medicine and healthcare content management—are becoming more necessary. Precision medicine is about moving from generic to more precise, population-focused diagnostics and treatment by factoring in data from patients’ genes, environment, lifestyle factors and family history, into clinical decision-making for earlier, more accurate diagnoses, and more effective treatment and prevention. Data is at the heart of enabling doctors and scientists to execute on this mission. Additionally, rapidly changing regulations throughout the world are affecting the management of all healthcare data. Infinidat removes data management barriers from this level of data interaction by removing isolated islands of storage and allowing much more data to reside on a single, high-performance, h
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     Infinidat EMEA
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