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Data Migration for Large Scientific Datasets in Clouds
Azerbaijan Journal of High Performance Computing, Vol 1, Issue 1, 2018, pp. 66-86 https://doi.org/10.32010/26166127.2018.1.1.66.86 Data Migration for Large Scientific Datasets in Clouds Akos Hajnal1, Eniko Nagy1, Peter Kacsuk1 and Istvan Marton1 1Institute for Computer Science and Control, Hungarian Academy of Sciences (MTA SZTAKI), Budapest, Hungary, [email protected], [email protected], *Correspondence: [email protected] Peter Kacsuk, nstitute for Computer Science and Control, Hungarian Academy of Sciences Abstract (MTA SZTAKI), Budapest, Hungary, peter.kacsuk@ Transferring large data files between various storages including sztaki.mta.hu cloud storages is an important task both for academic and commercial users. This should be done in an efficient and secure way. The paper describes Data Avenue that fulfills all these conditions. Data Avenue can efficiently transfer large files even in the range of TerraBytes among storages having very different access protocols (Amazon S3, OpenStack Swift, SFTP, SRM, iRODS, etc.). It can be used in personal, organizational and public deployment with all the security mechanisms required for these usage configurations. Data Avenue can be used by a GUI as well as by a REST API. The papers describes in detail all these features and usage modes of Data Avenue and also provides performance measurement results proving the efficiency of the tool that can be accessed and used via several public web pages. Keywords: data management, data transfer, data migration, cloud storage 1. Introduction In the last 20 years collecting and processing large scientific data sets have been gaining ever increasing importance. -
Cloud Computing for Logistics 12
The Supply Chain Cloud YOUR GUIDE TO CONTRACTS STANDARDS SOLUTIONS www.thesupplychaincloud.com 1 CONTENTS EUROPEAN COMMISSION PAGE Unleashing the Potential of Cloud Computing 4 TRADE TECH Cloud Solutions for Trade Security Implications for the Overall Supply Chain 7 CLOUD SECURITY ALLIANCE Cloud Computing: It’s a Matter of Transparency and Education 10 FRAUNHOFER INSTITUTE The Logistics Mall – Cloud Computing for Logistics 12 AXIT AG connecting logistics Supply Chain Management at the Push of a Button 17 INTEGRATION POINT Global Trade Management and the Cloud – Does It Work? 18 THE OPEN GROUP Cloud Computing Open Standards 20 WORKBOOKS CRM As A Service for Supply Chain Management 24 GREENQLOUD Sustainability in the Data Supply Chain 26 CLOUD INDUSTRY FORUM Why the need for recognised Cloud certification? 31 COVISINT Moving to the Cloud 32 CLOUD STANDARDS CUSTOMER COUNCIL Applications in the Cloud – Adopt, Migrate, or Build? 38 FABASOFT “United Clouds of Europe” for the Supply Chain Industry 42 EUROCLOUD How Cloud Computing will Revolutionise the European Economy 45 BP DELIVERY The cloud value chain needs services brokers 48 2 3 EUROPEAN COMMISSION Unleashing the Potential of Cloud Computing Cloud computing can bring significant advantages to citizens, businesses, public administrations and other organisations in Europe. It allows cost savings, efficiency boosts, user-friendliness and accelerated innovation. However, today cloud computing benefits cannot be fully exploited, given a number of uncertainties and challenges that the use of cloud computing services brings. In September 2012, the European Commission announced its Cutting Through The Jungle of Standards Cloud Computing Strategy, a new strategy to boost European The cloud market sees a number of standards, covering different business and government productivity via cloud computing. -
Opinnäytetyö Ohjeet
Lappeenrannan–Lahden teknillinen yliopisto LUT School of Engineering Science Tietotekniikan koulutusohjelma Kandidaatintyö Mikko Mustonen PARHAITEN OPETUSKÄYTTÖÖN SOVELTUVAN VERSIONHALLINTAJÄRJESTELMÄN LÖYTÄMINEN Työn tarkastaja: Tutkijaopettaja Uolevi Nikula Työn ohjaaja: Tutkijaopettaja Uolevi Nikula TIIVISTELMÄ LUT-yliopisto School of Engineering Science Tietotekniikan koulutusohjelma Mikko Mustonen Parhaiten opetuskäyttöön soveltuvan versionhallintajärjestelmän löytäminen Kandidaatintyö 2019 31 sivua, 8 kuvaa, 2 taulukkoa Työn tarkastajat: Tutkijaopettaja Uolevi Nikula Hakusanat: versionhallinta, versionhallintajärjestelmä, Git, GitLab, SVN, Subversion, oppimateriaali Keywords: version control, version control system, Git, GitLab, SVN, Subversion, learning material LUT-yliopistossa on tietotekniikan opetuksessa käytetty Apache Subversionia versionhallintaan. Subversionin käyttö kuitenkin johtaa ylimääräisiin ylläpitotoimiin LUTin tietohallinnolle. Lisäksi Subversionin julkaisun jälkeen on tullut uusia versionhallintajärjestelmiä ja tässä työssä tutkitaankin, olisiko Subversion syytä vaihtaa johonkin toiseen versionhallintajärjestelmään opetuskäytössä. Työn tavoitteena on löytää opetuskäyttöön parhaiten soveltuva versionhallintajärjestelmä ja tuottaa sille opetusmateriaalia. Työssä havaittiin, että Git on suosituin versionhallintajärjestelmä ja se on myös suhteellisen helppo käyttää. Lisäksi GitLab on tutkimuksen mukaan Suomen yliopistoissa käytetyin ja ominaisuuksiltaan ja hinnaltaan sopivin Gitin web-käyttöliittymä. Näille tehtiin -
Utrecht University Dynamic Automated Selection and Deployment Of
Utrecht University Master Thesis Business Informatics Dynamic Automated Selection and Deployment of Software Components within a Heterogeneous Multi-Platform Environment June 10, 2015 Version 1.0 Author Sander Knape [email protected] Master of Business Informatics Utrecht University Supervisors dr. S. Jansen (Utrecht University) dr.ir. J.M.E.M. van der Werf (Utrecht University) dr. S. van Dijk (ORTEC) Additional Information Thesis Title Dynamic Automated Selection and Deployment of Software Components within a Heterogeneous Multi-Platform Environment Author S. Knape Student ID 3220958 First Supervisor dr. S. Jansen Universiteit Utrecht Department of Information and Computing Sciences Buys Ballot Laboratory, office 584 Princetonplein 5, De Uithof 3584 CC Utrecht Second Supervisor dr.ir. J.M.E.M. van der Werf Universiteit Utrecht Department of Information and Computing Sciences Buys Ballot Laboratory, office 584 Princetonplein 5, De Uithof 3584 CC Utrecht External Supervisor dr. S. van Dijk Manager Technology & Innovation ORTEC Houtsingel 5 2719 EA Zoetermeer i Declaration of Authorship I, Sander Knape, declare that this thesis titled, ’Dynamic Automated Selection and Deployment of Software Components within a Heterogeneous Multi-Platform Environment’ and the work presented in it are my own. I confirm that: This work was done wholly or mainly while in candidature for a research degree at this University. Where any part of this thesis has previously been submitted for a degree or any other qualification at this University or any other institution, this has been clearly stated. Where I have consulted the published work of others, this is always clearly attributed. Where I have quoted from the work of others, the source is always given. -
Sustainability As a Growth Strategy Eiríkur S
Green is the new Green: Sustainability as a growth strategy Eiríkur S. Hrafnsson Co-Founder Chief Global Strategist @greenqloud GreenQloud.com Cloud Computing Rocket fuel for innovation New and previously impossible services based on public clouds Mobile computing needs clouds! Internet of things has hardly started “Within seven years there will be 50 billion intelligent devices connected to the internet." - Al Gore Hyper growth challenge 40 Global Data is doubling Global storage (Zettabytes) * 30 every 2 years. 20 We have only processed 1% 10 2012 - 2+ ZB 2020 - 40 ZB 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2022 - 80 ZB Most data centers are running on fossil fuels. Cloud providers use less than 25% renewable energy of global CO2 emissions in 2007 - We are at ~3% now! 2% - Gartner 2020 estimation of CO2 emissions by IT - McKinsey & Company 4% “Your sustainability strategy IS your growth strategy” -Hannah Jones CSO Circular Economy - Growth from sustainability Circular Economy - Growth from sustainability IT Growth, Foresting, Food Production... XYZ industry growth cannot be sustained without sustainability...duh! Sustainability focused brands Hyper growth challenge 40 Global Data is doubling Global storage (Zettabytes) * 30 every 2 years. 20 We have only processed 1% 10 2012 - 2+ ZB 2020 - 40 ZB 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2022 - 80 ZB Sustainable Public Cloud Computing Easy to use on Iceland & Renewable Energy Seattle (Q1) StorageQloud ComputeQloud (S3 & SQAPI) (EC2) Truly Green and Cheaper Turnkey -
Configuration Management with Ansible And
Configuration management with Ansible and Git Paul Waring ([email protected], @pwaring) January 10, 2017 Topics I Configuration management I Version control I Firewall I Apache / nginx I Git Hooks I Bringing it all together Configuration management I Old days: edit files on each server, manual package installation I Boring, repetitive, error-prone I Computers are good at this sort of thing I Automate using shellscripts - doesn’t scale, brittle I Create configuration file and let software do the rest I Less firefighting, more tea-drinking Terminology I Managed node: Machines (physical/virtual) managed by Ansible I Control machine: Runs the Ansible client I Playbook/manifest: Describes how a managed node is configured I Agent: Runs on managed nodes Ansible I One of several options I Free and open source software - GPLv3 I Developed by the community and Ansible Inc. I Ansible Inc now part of RedHat I Support via the usual channels, free and paid Alternatives to Ansible I CfEngine I Puppet, Chef I SaltStack Why Ansible? I Minimal dependencies: SSH and Python 2 I Many Linux distros ship with both I No agents/daemons (except SSH) I Supports really old versions of Python (2.4 / RHEL 5) on nodes I Linux, *BSD, macOS and Windows Why Ansible? I Scales up and down I Gentle learning curve I But. no killer features I A bit like: vim vs emacs Configuration file I Global options which apply to all nodes I INI format I Write once, then leave Configuration file [defaults] inventory= hosts Inventory file I List of managed nodes I Allows overriding of global options on per-node basis I Group similar nodes, e.g. -
Reducing Email Service's Carbon Emission with Minimum Cost THESIS Presented in Partial Fulfillment of the Requireme
GreenMail: Reducing Email Service’s Carbon Emission with Minimum Cost THESIS Presented in Partial Fulfillment of the Requirements for the Degree Master of Science in the Graduate School of The Ohio State University By Chen Li, B.S. Graduate Program in Computer Science and Engineering The Ohio State University 2013 Master's Examination Committee: Christopher Charles Stewart, Advisor Xiaorui Wang Copyright by Chen Li 2013 Abstract Internet services contribute a large fraction of worldwide carbon emission nowadays, in a context of increasing number of companies tending to provide and more and more developers use Internet services. Noticeably, a trend is those service providers are trying to reduce their carbon emissions by utilizing on-site or off-site renewable energy in their datacenters in order to attract more customers. With such efforts have been paid, there are still some users who are aggressively calling for even cleaner Internet services. For example, over 500,000 Facebook users petitioned the social networking site to use renewable energy to power its datacenter [1]. However, it seems impossible for such demand to be satisfied merely from the inside of those production datacenters, considering the transition cost and stability. Outside the existing Internet services, on the other hand, may easily set up a proxy service to attract those renewable-energy-sensitive users, by 1) using carbon neutral or even over-offsetting cloud instances to bridge the end user and traditional Internet services; and 2) estimating and offsetting the carbon emissions from the traditional Internet services. In our paper, we proposed GreenMail, which is a general IMAP proxy caching system that connects email users and traditional email services. -
Tech Trailblazers Awards Finalists Voting Opens
FOR IMMEDIATE RELEASE www.techtrailblazers.com Tech Trailblazers Awards Finalists Voting Opens Which startups have the most promising technologies? Vote for your favorites now London, 18th December 2013 – The Tech Trailblazers Awards, first annual awards program for enterprise information technology startups, today announced the opening of voting for shortlisted finalists across the nine categories of Big Data, Cloud, Emerging Markets, Infosecurity, Mobile, Networking, Storage, Sustainable IT and Virtualization. The voting process is managed using technology by web-based ideation and innovation management pioneer Wazoku. The winners of the Tech Trailblazers Awards will be determined by the voting public and the judging panel. Which startups have the most promising technologies? Discover the finalists and vote for your favorites now on the Tech Trailblazers website by clicking on the Vote Now tab. Voting closes at 23:59pm on Thursday 23rd January 2014. This second year of the awards has received an even higher level of high quality entrants, with an 18% increase in entrants, making the work of the judges even more challenging. The finalists showcase the finest of enterprise tech innovation that the world has to offer with representative startups from Argentina, Belgium, France, Iceland, India, Ireland, Kenya, Nigeria, Norway, Spain, the UK and the US. Here is an overview of all the amazing enterprise tech startups you can vote for over the coming months. Finalists in the Tech Trailblazers Awards Big Data -Cedexis (@Cedexis), www.cedexis.com -
MAUS: the MICE Analysis User Software
RAL-P-2018-007 MAUS: The MICE Analysis User Software R. Asfandiyarov,a R. Bayes,b V. Blackmore,c M. Bogomilov,d D. Colling,c A.J. Dobbs,c F. Drielsma,a M. Drews,h M. Ellis,c M. Fedorov,e P. Franchini,f R. Gardener,g J.R. Greis,f P.M. Hanlet,h C. Heidt,i C. Hunt,c G. Kafka,h Y. Karadzhov,a A. Kurup,c P. Kyberd,g M. Littlefield,g A. Liu,j K. Long,c;n D. Maletic,k J. Martyniak,c S. Middleton,c T. Mohayai,h; j J.J. Nebrensky,g J.C. Nugent,b E. Overton,l V. Pec,l C.E. Pidcott,f D. Rajaram,h;1 M. Rayner,m I.D. Reid,g C.T. Rogers,n E. Santos,c M. Savic,k I. Taylor,f Y. Torun,h C.D. Tunnell,m M.A. Uchida,c V. Verguilov,a K. Walaron,b M. Winter,h S. Wilburl aDPNC, section de Physique, Université de Genève, Geneva, Switzerland bSchool of Physics and Astronomy, Kelvin Building, The University of Glasgow, Glasgow, UK cDepartment of Physics, Blackett Laboratory, Imperial College London, London, UK dDepartment of Atomic Physics, St. Kliment Ohridski University of Sofia, Sofia, Bulgaria eRadboud University of Nijmegen, Netherlands f Department of Physics, University of Warwick, Coventry, UK gBrunel University, Uxbridge, UK hPhysics Department, Illinois Institute of Technology, Chicago, IL, USA iUniversity of California, Riverside, CA, USA j Fermilab, Batavia, IL, USA k Institute of Physics, University of Belgrade, Serbia lDepartment of Physics and Astronomy, University of Sheffield, Sheffield, UK mDepartment of Physics, University of Oxford, Denys Wilkinson Building, Oxford, UK nSTFC Rutherford Appleton Laboratory, Harwell Oxford, Didcot, UK E-mail: [email protected] Abstract: The Muon Ionization Cooling Experiment (MICE) collaboration has developed the MICE Analysis User Software (MAUS) to simulate and analyze experimental data. -
Analyzing Utilization Rates in Data Centers for Optimizing Energy Management
Analyzing Utilization Rates in Data Centers for Optimizing Energy Management Michael Pawlish Aparna S. Varde Stefan A. Robila Montclair State University Montclair State University Montclair State University Dept. of Environmental Mgmt. Dept. of Computer Science Dept. of Computer Science Montclair, NJ, USA Montclair, NJ, USA Montclair, NJ 07043 USA [email protected] [email protected] [email protected] Abstract—In this paper, we explore academic data Perhaps a greater factor in the slowing down of the center utilization rates from an energy expansion of data centers was attributed to innovation management perspective with the broader goal of in the form of virtualization and cloud technology providing decision support for green computing. development [5,6]. Virtualization is the ability to The utilization rate is defined as the overall extent harness the power of many servers for numerous to which data center servers are being used and is applications whereas prior to virtualization one or a usually recorded as a percentage. Recent literature few applications were assigned to each server. This states that utilization rates at many data centers frame of mind was a major factor that leads to the are quite low resulting in poor usage of resources traditionally low utilization rates that wasted such as energy and labor. Based on our study we resources by having servers running without attribute these lower utilization rates to not fully processing applications to the full potential of the taking advantage of virtualization and cloud equipment. A second innovation that greatly increased technology. This paper describes our research utilization rates was the development and maturing of including energy data analysis with our proposed cloud technology. -
Fiscal Year 2019 Annual Report
UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 Form 10-K (Mark One) ANNUAL REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the fiscal year ended April 26, 2019 or TRANSITION REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the transition period from to Commission File Number 000-27130 NetApp, Inc. (Exact name of registrant as specified in its charter) Delaware 77-0307520 (State or other jurisdiction of (I.R.S. Employer incorporation or organization) Identification No.) 1395 Crossman Avenue, Sunnyvale, California 94089 (Address of principal executive offices, including zip code) (408) 822-6000 (Registrant’s telephone number, including area code) Securities registered pursuant to Section 12(b) of the Act: Title of each class Trading Symbol(s) Name of exchange on which registered Common Stock, $0.001 Par Value NTAP The NASDAQ Stock Market LLC Securities registered pursuant to Section 12(g) of the Act: None Indicate by check mark if the registrant is a well-known seasoned issuer, as defined in Rule 405 of the Securities Act. Yes No Indicate by check mark if the registrant is not required to file reports pursuant to Section 13 or Section 15(d) of the Act. Yes No Indicate by check mark whether the registrant (1) has filed all reports required to be filed by Section 13 or 15(d) of the Securities Exchange Act of 1934 during the preceding 12 months (or for such shorter period that the registrant was required to file such reports), and (2) has been subject to such filing requirements for the past 90 days. -
Institutionen För Datavetenskap
Institutionen f¨ordatavetenskap Department of Computer and Information Science Final thesis Graphical User Interfaces for Distributed Version Control Systems by Kim Nilsson LIU-IDA/LITH-EX-A{08/057{SE 2008{12{05 Linköpings universitet Linköpings universitet SE-581 83 Linköping, Sweden 581 83 Linköping Final thesis Graphical User Interfaces for Distributed Version Control Systems by Kim Nilsson LIU-IDA/LITH-EX-A{08/057{SE 2008{12{05 Supervisor: Anders H¨ockersten, Opera Software Examiner: Henrik Eriksson, MDA Abstract Version control is an important tool for safekeeping of data and collaboration between colleagues. These days, new distributed version control systems are growing increasingly popular as successors to centralized systems like CVS and Subversion. Graphical user interfaces (GUIs) make it easier to interact with version control systems, but GUIs for distributed systems are still few and less mature than those available for centralized systems. The purpose of this thesis was to propose specific GUI ideas to make dis- tributed systems more accessible. To accomplish this, existing version con- trol systems and GUIs were examined. A usage survey was conducted with 20 participants consisting of software engineers. Participants were asked to score various aspects of version control systems according to usage fre- quency and usage difficulty. These scores were combined into an indexof each aspect's \unusability" and thus its need of improvement. The primary problems identified were committing, inspecting the work- ing set, inspecting history and synchronizing. In response, a commit helper, a repository visualizer and a favorite repositories list were proposed, along with several smaller suggestions. These proposals should constitute a good starting point for developing GUIs for distributed version control systems.