IBM Storage Suite for IBM Cloud Paks Data Sheet
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IBM Cloud Unit 2016 IBM Cloud Unit Leadership Organization
IBM Cloud Technical Academy IBM Cloud Unit 2016 IBM Cloud Unit Leadership Organization SVP IBM Cloud Robert LeBlanc GM Cloud Platform GM Cloud GM Cloud Managed GM Cloud GM Cloud Object Integration Services Video Storage Offering Bill Karpovich Mike Valente Braxton Jarratt Line Execs Line Execs Marie Wieck John Morris GM Strategy, GM Client Technical VP Development VP Service Delivery Business Dev Engagement Don Rippert Steve Robinson Harish Grama Janice Fischer J. Comfort (GM & CTO) J. Considine (Innovation Lab) Function Function Leadership Leadership VP Marketing GM WW Sales & VP Finance VP Human Quincy Allen Channels Resources Steve Cowley Steve Lasher Sam Ladah S. Carter (GM EcoD) GM Design VP Enterprise Mobile GM Digital Phil Gilbert Phil Buckellew Kevin Eagan Missions Missions Enterprise IBM Confidential IBM Hybrid Cloud Guiding Principles Choice with! Hybrid ! DevOps! Cognitive Powerful, Consistency! Integration! Productivity! Solutions! Accessible Data and Analytics! The right Unlock existing Automation, tooling Applications and Connect and extract workload in the IT investments and composable systems that insight from all types right place and Intellectual services to increase have the ability to of data Property speed learn Three entry points 1. Create! 2. Connect! 3. Optimize! new cloud apps! existing apps and data! any app! 2016 IBM Cloud Offerings aligned to the Enterprise’s hybrid cloud needs IBM Cloud Platform IBM Cloud Integration IBM Cloud Managed Offerings Offerings Services Offerings Mission: Build true cloud platform -
Securebox Azure
General Electronics E-Commerce General Web General General General Electronics General Location Electronics E-Commerce Electronics Electronics Arrows General Web Electronics E-Commerce E-Commerce E-Commerce Web Location GeneraE-Col mmerce Weather Web Arrows WeWeb b Electronics Location Weather Miscellaneous Location Arrows Location Location Arrows Arrows Miscellaneous Electronics E-Commerce Arrows Weather Weather Weather Miscellaneous Web 28/03/2019 Weather SecureBox Azure penta.ch General Miscellaneous Access, backup, sync and share your data on Microsoft Azure SecureBox is a secure corporate cloud file sharing platform. Access your data anywhere and backup, view, sync and share – all under your control. Miscellaneous E-Commerce Browser & apps General SecureBox Devices Files Tablet Email Mobile Calendar PC Word processing Mac Spreadsheets Miscellaneous Photos Private cloud Bank-level security Local sync Backups & disaster recovery File sharing Independent auditing Password protection Editing permissions Link expiry dates Internal users External users SecureLo filecati sharingon and backup Long-term backups and data recovery The secure alternative to public cloud Instantly meet data protection and backup file sharing and backup with bank-level legal requirements with up to five-year data authentication. In multiple languages. backup and recovery options. English, French, German, Italian, Spanish and Arabic Web Control your data Versioning SecureBox data is stored and encrypted in Previous version of modified files are Microsft Azure data center. Manage groups automatically retained and can be restored, and security policies, backed by audit logs. while automatically managing storage space. Share files Regulatory compliance Send Arrolinks to wspeople inside or outside your Auditor-ready compliance reports included. company. Set unique passwords, expiry IndependentElec ISAEtr onic3402 auditss for regulatory dates, edit and download permissions. -
Mimioclassroom User Guide for Windows
MimioClassroom User Guide For Windows mimio.com © 2012 Sanford, L.P. All rights reserved. Revised 12/4/2012. No part of this document or the software may be reproduced or transmitted in any form or by any means or translated into another language without the prior written consent of Sanford, L.P. Mimio, MimioClassroom, MimioTeach, MimioCapture, MimioVote, MimioView, MimioHub, MimioPad, and MimioStudio are registered marks in the United States and other countries. All other trademarks are the property of their respective holders. Contents About MimioClassroom 1 MimioStudio 1 MimioTeach 1 Mimio Interactive 1 MimioCapture 2 Mimio Capture Kit 2 MimioVote 2 MimioView 2 MimioPad 2 Minimum System Requirements 2 Using this Guide 3 MimioStudio 7 About MimioStudio 7 About MimioStudio Notebook 7 About MimioStudio Tools 7 About MimioStudio Gallery 9 Getting Started with MimioStudio 9 Accessing MimioStudio Notebook 9 Accessing MimioStudio Tools 10 Accessing MimioStudio Gallery 10 Using MimioStudio Notebook 10 Working with Pages 11 Creating an Activity 14 Creating an Activity - Step 1: Define 14 Creating an Activity - Step 2: Select 14 Creating an Activity - Step 3: Refine 15 Creating an Activity - Step 4: Review 16 Working with an Activity 17 Writing an Objective 17 Attaching Files 18 Using MimioStudio Tools 18 Creating Objects 18 Manipulating Objects 21 Adding Actions to Objects 25 Using MimioStudio Gallery 26 iii Importing Gallery Items into a Notebook 27 Customizing the Content of the Gallery 27 Exporting a Gallery Folder to a Gallery File 29 Working -
Wandisco Fusion® Microsoft Azure Data Box
WANDISCO FUSION® MICROSOFT AZURE DATA BOX Use WANdisco Fusion with Data Box for bulk transfer of changing data WANdisco Fusion is the only solution that enables Microsoft customers to use the bulk transfer capabilities of the Azure Data Box to transfer static and changing Guaranteed data consistency information from Big Data applications to Azure Cloud with guaranteed data consistency. Users can continue to Take advantage of the storage on Azure Data Box for write to their local cluster while the Azure Data Box is in bulk data transfer while continuing to write to a local transit so when the Azure Data Box is subsequently being cluster and replicate those changes while the Azure uploaded, any changes are replicated to the Azure Cloud Data Box is uploaded to the Azure Cloud. with guaranteed consistency. Easy and intuitive step-by-step operation • Applications write to Azure Data Box using the same API that they use to interact with the Azure Cloud. No downtime and • WANdisco Fusion for Azure Data Box requires no change to applications which can continue to use the no business disruption API as they would normally. Write data to a local HDFS-compatible endpoint • Replication is continuous and recovers from on-premises and replicate to a storage location in intermittent network or system failures automatically. Microsoft Azure with no modification or disruption to applications on-premises. AZURE 2 STORAGE Cost saving MICROSOFT 1 3 AZURE DATA BOX Avoid the high network costs common to large scale data transfers and benefit from a range of FUSION applications available in Azure Cloud. -
30 Years of Moving Individual Atoms
FEATURES 30 YEARS OF MOVING INDIVIDUAL ATOMS 1 2 l Christopher Lutz and Leo Gross – DOI: https://doi.org/10.1051/epn/2020205 l 1 IBM Research – Almaden, San Jose, California, USA l 2 IBM Research – Zurich,¨ 8803 Ruschlikon,¨ Switzerland In the thirty years since atoms were first positioned individually, the atom-moving capability of scanning probe microscopes has grown to employ a wide variety of atoms and small molecules, yielding custom nanostructures that show unique electronic, magnetic and chemical properties. his year marks the thirtieth anniversary of the publication by IBM researchers Don Eigler and Erhard Schweizer showing that individ- Tual atoms can be positioned precisely into chosen patterns [1]. Tapping the keyboard of a personal computer for 22 continuous hours, they controlled the movement of a sharp tungsten needle to pull 35 individ- ual xenon atoms into place on a surface to spell the letters “IBM” (Figure 1). Eigler and Schweitzer’s demonstration set in motion the use of a newly invented tool, called the scanning tunneling microscope (STM), as the workhorse for nanoscience research. But this achievement did even more than that: it changed the way we think of atoms. m FIG. 2: The STM that Don Eigler and coworkers used to position atoms. The It led us to view them as building blocks that can be tip is seen touching its reflection in the sample’s surface. (Credit: IBM) arranged the way we choose, no longer being limited by the feeling that atoms are inaccessibly small. with just one electron or atom or (small) molecule. FIG. -
8. IBM Z and Hybrid Cloud
The Centers for Medicare and Medicaid Services The role of the IBM Z® in Hybrid Cloud Architecture Paul Giangarra – IBM Distinguished Engineer December 2020 © IBM Corporation 2020 The Centers for Medicare and Medicaid Services The Role of IBM Z in Hybrid Cloud Architecture White Paper, December 2020 1. Foreword ............................................................................................................................................... 3 2. Executive Summary .............................................................................................................................. 4 3. Introduction ........................................................................................................................................... 7 4. IBM Z and NIST’s Five Essential Elements of Cloud Computing ..................................................... 10 5. IBM Z as a Cloud Computing Platform: Core Elements .................................................................... 12 5.1. The IBM Z for Cloud starts with Hardware .............................................................................. 13 5.2. Cross IBM Z Foundation Enables Enterprise Cloud Computing .............................................. 14 5.3. Capacity Provisioning and Capacity on Demand for Usage Metering and Chargeback (Infrastructure-as-a-Service) ................................................................................................................... 17 5.4. Multi-Tenancy and Security (Infrastructure-as-a-Service) ....................................................... -
Lock-Free Collaboration Support for Cloud Storage Services With
Lock-Free Collaboration Support for Cloud Storage Services with Operation Inference and Transformation Jian Chen, Minghao Zhao, and Zhenhua Li, Tsinghua University; Ennan Zhai, Alibaba Group Inc.; Feng Qian, University of Minnesota - Twin Cities; Hongyi Chen, Tsinghua University; Yunhao Liu, Michigan State University & Tsinghua University; Tianyin Xu, University of Illinois Urbana-Champaign https://www.usenix.org/conference/fast20/presentation/chen This paper is included in the Proceedings of the 18th USENIX Conference on File and Storage Technologies (FAST ’20) February 25–27, 2020 • Santa Clara, CA, USA 978-1-939133-12-0 Open access to the Proceedings of the 18th USENIX Conference on File and Storage Technologies (FAST ’20) is sponsored by Lock-Free Collaboration Support for Cloud Storage Services with Operation Inference and Transformation ⇤ 1 1 1 2 Jian Chen ⇤, Minghao Zhao ⇤, Zhenhua Li , Ennan Zhai Feng Qian3, Hongyi Chen1, Yunhao Liu1,4, Tianyin Xu5 1Tsinghua University, 2Alibaba Group, 3University of Minnesota, 4Michigan State University, 5UIUC Abstract Pattern 1: Losing updates Alice is editing a file. Suddenly, her file is overwritten All studied This paper studies how today’s cloud storage services support by a new version from her collaborator, Bob. Sometimes, cloud storage collaborative file editing. As a tradeoff for transparency/user- Alice can even lose her edits on the older version. services friendliness, they do not ask collaborators to use version con- Pattern 2: Conflicts despite coordination trol systems but instead implement their own heuristics for Alice coordinates her edits with Bob through emails to All studied handling conflicts, which however often lead to unexpected avoid conflicts by enforcing a sequential order. -
The Evolution of Ibm Research Looking Back at 50 Years of Scientific Achievements and Innovations
FEATURES THE EVOLUTION OF IBM RESEARCH LOOKING BACK AT 50 YEARS OF SCIENTIFIC ACHIEVEMENTS AND INNOVATIONS l Chris Sciacca and Christophe Rossel – IBM Research – Zurich, Switzerland – DOI: 10.1051/epn/2014201 By the mid-1950s IBM had established laboratories in New York City and in San Jose, California, with San Jose being the first one apart from headquarters. This provided considerable freedom to the scientists and with its success IBM executives gained the confidence they needed to look beyond the United States for a third lab. The choice wasn’t easy, but Switzerland was eventually selected based on the same blend of talent, skills and academia that IBM uses today — most recently for its decision to open new labs in Ireland, Brazil and Australia. 16 EPN 45/2 Article available at http://www.europhysicsnews.org or http://dx.doi.org/10.1051/epn/2014201 THE evolution OF IBM RESEARCH FEATURES he Computing-Tabulating-Recording Com- sorting and disseminating information was going to pany (C-T-R), the precursor to IBM, was be a big business, requiring investment in research founded on 16 June 1911. It was initially a and development. Tmerger of three manufacturing businesses, He began hiring the country’s top engineers, led which were eventually molded into the $100 billion in- by one of world’s most prolific inventors at the time: novator in technology, science, management and culture James Wares Bryce. Bryce was given the task to in- known as IBM. vent and build the best tabulating, sorting and key- With the success of C-T-R after World War I came punch machines. -
Beyond Agility: How Cloud Is Driving Enterprise Innovation
Beyond agility How cloud is driving enterprise innovation IBM Institute for Business Value Executive Report Cloud How IBM can help IBM Cloud enables seamless integration into public and private cloud environments. The infrastructure is secure, scalable and flexible, providing tailored enterprise solutions that have made IBM Cloud the hybrid cloud market leader. For more information, please visit ibm.com/cloud-computing. 1 The cloud revolution Executive summary has advanced Five years ago, enterprises were implementing cloud What if your organization could sharpen its competitive edge by becoming more nimble? primarily to streamline IT infrastructure and cut costs. What if your enterprise could shift industry economics in its favor? What if your company Today, organizations are unleashing the power of could foresee a new customer need and dominate the market? cloud as business optimizers, innovators and The cloud revolution is here now, delivering true business value to organizations. In disruptors. Where companies choose to direct their enterprises around the world, cloud adoption has moved beyond the stage of acquiring cloud initiatives depends on a variety of factors. technological agility and is now powering business innovation. These factors include their goals and strategies, how much risk they are willing to assume, their current In our 2012 cloud study, only a third of the senior executives we spoke with when developing competitive context and their customer needs. In this our report, “The power of cloud,” said they were planning, -
Model to Implement Virtual Computing Labs Via Cloud Computing Services
S S symmetry Article Model to Implement Virtual Computing Labs via Cloud Computing Services Washington Luna Encalada 1,2,* ID and José Luis Castillo Sequera 3 ID 1 Department of Informatics and Electronics, Polytechnic School of Chimborazo, Riobamba 060155, EC, Ecuador 2 Department of Doctorate in Systems Engineering and Computer Science, National University of San Marcos, Lima 15081, Peru; [email protected] 3 Department of Computer Sciences, Higher Polytechnic School, University of Alcala, 28871 Alcala de Henares, Spain; [email protected] * Correspondence: [email protected]; Tel.: +593-032-969-472 Academic Editor: Yunsick Sung Received: 1 May 2017; Accepted: 3 July 2017; Published: 13 July 2017 Abstract: In recent years, we have seen a significant number of new technological ideas appearing in literature discussing the future of education. For example, E-learning, cloud computing, social networking, virtual laboratories, virtual realities, virtual worlds, massive open online courses (MOOCs), and bring your own device (BYOD) are all new concepts of immersive and global education that have emerged in educational literature. One of the greatest challenges presented to e-learning solutions is the reproduction of the benefits of an educational institution’s physical laboratory. For a university without a computing lab, to obtain hands-on IT training with software, operating systems, networks, servers, storage, and cloud computing similar to that which could be received on a university campus computing lab, it is necessary to use a combination of technological tools. Such teaching tools must promote the transmission of knowledge, encourage interaction and collaboration, and ensure students obtain valuable hands-on experience. -
Wandisco Fusion® Microsoft Azure Data Box®
FUSION WANDISCO FUSION® MICROSOFT AZURE DATA BOX® Use WANdisco Fusion with Data Box for bulk transfer of changing data WANdisco Fusion is the only solution that enables Microsoft customers to use the bulk transfer capabilities of the Azure Data Box to transfer static and changing Always accurate information from Big Data applications to Azure Cloud with guaranteed data consistency. Users can continue to Take advantage of the storage on Azure Data Box for write to their local cluster while the Azure Data Box is in bulk data transfer while continuing to write to a local transit so when the Azure Data Box is subsequently being cluster and replicate those changes while the Azure uploaded, any changes are replicated to the Azure Cloud Data Box is uploaded to the Azure Cloud. with guaranteed consistency. Easy and intuitive step-by-step operation • Applications write to Azure Data Box using the same API that they use to interact with the Azure Cloud. Always available • WANdisco Fusion for Azure Data Box requires no change to applications which can continue to use the Write data to a local HDFS-compatible endpoint API as they would normally. on-premises and replicate to a storage location in • Replication is continuous and recovers from Microsoft Azure with no modification or disruption to intermittent network or system failures automatically. applications on-premises. AZURE 2 STORAGE Lower cost structure MICROSOFT 1 3 AZURE DATA BOX Avoid the high network costs common to large scale data transfers and benefit from a range of applications available in Azure Cloud. FUSION FUSION FUSION HADOOP ON-PREMISES Copyright © 2018 WANdisco, Inc. -
Igneous Backup with Microsoft Azure Data Box Executive Overview the Benefits of Cloud Backup, Including Scalability, Accessibility, and Agility, Are Immense
SOLUTION GUIDE Igneous Backup with Microsoft Azure Data Box Executive Overview The benefits of cloud backup, including scalability, accessibility, and agility, are immense. However, significant challenges lie in effectively deploying cloud backups for enterprise. To help enterprises harness the value of cloud backup while overcoming the challenges of massive scale, Igneous Unstructured Data Management as-a-Service and Microsoft Azure Data Box combine to offer an integrated solution that accelerates data migration from network attached storage (NAS) to Microsoft Azure Storage, and manages ongoing replication and tiering to cloud. With backup environments, the challenge of using public cloud is often seeding the initial backup before doing incrementals. Azure Data Box provides an economical way to transport those initial backups (often called “level- 0’s”) into Azure Storage without worrying about network bandwidth between your on-premises environment and Azure Storage. Igneous Unstructured Data Management as-a-Service solution, built for managing file-based backups, provides native integration with Azure Storage, including the Azure Data Box. Together, Igneous and Azure allow you to backup unstructured data stored on your primary network attached storage (NAS) file systems, efficiently move large amounts of data to Azure Storage, and protect and manage your data with tiering and replication to cloud. Microsoft Azure Data Box provides a secure, tamper-resistant method for quick and simple transfer of your data to Azure. Use Azure Data Box service when you want to transfer large amounts of data to Azure but are limited by time, network availability, or costs. Azure Data Box is supported by Igneous as a method to support transfers or initial sync to Azure Storage.