Nas nuvens ou fora delas, eis a questão

Mestrado em Sistemas de InformaçãoO proposito desta dissertação é contribuir no sentido de uma melhor compreensão sobre a decisão de ir ou não ir para uma solução na cloud quando uma organização é confrontada com a necessidade de criar ou expandir um sistema de informação. Isto é feito recorrendo à identificação de factores técnicos e económicos que devem ser tomados em conta quando planeamos uma nova solução e desenvolver um framework para ajudar os decisores. Os seguintes aspetos são considerados: • Definição de um modelo de referência genérico para funcionalidades de um Sistemas de Informação. • Identificação de algumas métricas básicas para caracterizar performance e custos de Sistemas de Informação. • Analise e caracterização de Sistemas de Informação on-premises: Arquiteturas Elementos de custo Questões de Performance • Analise e caracterização de Sistemas de Informação Cloud: Topologias Estruturas de custo Questões de Performance • Estabelecimento de framework de comparação para a cloud versus on-premises • Casos de uso comparando soluções na cloud e on-premises; • Produção de guidelines (focadas no caso das clouds publicas) Para ilustrar o procedimento, são usados dois business cases, ambos com duas abordagens: uma dedicada aos Profissionais de IT (abordagem técnica), outra aos Gestores/Decisores (abordagem económica).The purpose of this dissertation is to contribute towards a better understanding about the decision to go or not to go for cloud solutions when an organization is confronted with the need to create or enlarge an information system. This is done resorting to the identification of technical and economic factors that must be taken into account when planning a new solution and developing a framework to help decision makers. The following aspects are considered: • Definition of a generic reference model for Information systems functionalities. • Identification of some basic metrics characterizing information systems performance. • Analysis and characterization of on-premisis information systems: Architectures Cost elements Performance issues • Analysis and characetrization of cloud information systems. Typology Cost structures Performance issues • Establishment of a comparison framework for cloud versus on-premises solutions as possible instances of information systems. • Use cases comparing cloud and on-premises solutions. • Production of guidelines (focus on public cloud case) To illustrate the procedure, two business cases are used, both with two approaches: one dedicated to IT Professionals (Technical approach), other to Managers/Decision Makers (Economic approach)

Goddard Conference on Mass Storage Systems and Technologies, volume 2

Papers and viewgraphs from the conference are presented. Discussion topics include the IEEE Mass Storage System Reference Model, data archiving standards, high-performance storage devices, magnetic and magneto-optic storage systems, magnetic and optical recording technologies, high-performance helical scan recording systems, and low end helical scan tape drives. Additional discussion topics addressed the evolution of the identifiable unit for processing (file, granule, data set, or some similar object) as data ingestion rates increase dramatically, and the present state of the art in mass storage technology

The Fifth Workshop on HPC Best Practices: File Systems and Archives

The workshop on High Performance Computing (HPC) Best Practices on File Systems and Archives was the fifth in a series sponsored jointly by the Department Of Energy (DOE) Office of Science and DOE National Nuclear Security Administration. The workshop gathered technical and management experts for operations of HPC file systems and archives from around the world. Attendees identified and discussed best practices in use at their facilities, and documented findings for the DOE and HPC community in this report

Lanthorn, vol. 39, no. 30, April 14, 2005

Lanthorn is Grand Valley State\u27s student newspaper, published from 1968 to the present

The Third NASA Goddard Conference on Mass Storage Systems and Technologies

This report contains copies of nearly all of the technical papers and viewgraphs presented at the Goddard Conference on Mass Storage Systems and Technologies held in October 1993. The conference served as an informational exchange forum for topics primarily relating to the ingestion and management of massive amounts of data and the attendant problems involved. Discussion topics include the necessary use of computers in the solution of today's infinitely complex problems, the need for greatly increased storage densities in both optical and magnetic recording media, currently popular storage media and magnetic media storage risk factors, data archiving standards including a talk on the current status of the IEEE Storage Systems Reference Model (RM). Additional topics addressed System performance, data storage system concepts, communications technologies, data distribution systems, data compression, and error detection and correction

Programming Persistent Memory

Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times—a huge leap forward in byte-addressable capacity compared with current DRAM offerings. This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data. Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included. What You’ll Learn Understand what persistent memory is, what it does, and the value it brings to the industry Become familiar with the operating system and hardware requirements to use persistent memory Know the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistence Look at persistent memory application development by example using the Persistent Memory Development Kit (PMDK) Design and optimize data structures for persistent memory Study how real-world applications are modified to leverage persistent memory Utilize the tools available for persistent memory programming, application performance profiling, and debugging Who This Book Is For C, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc

Fourth NASA Goddard Conference on Mass Storage Systems and Technologies

This report contains copies of all those technical papers received in time for publication just prior to the Fourth Goddard Conference on Mass Storage and Technologies, held March 28-30, 1995, at the University of Maryland, University College Conference Center, in College Park, Maryland. This series of conferences continues to serve as a unique medium for the exchange of information on topics relating to the ingestion and management of substantial amounts of data and the attendant problems involved. This year's discussion topics include new storage technology, stability of recorded media, performance studies, storage system solutions, the National Information infrastructure (Infobahn), the future for storage technology, and lessons learned from various projects. There also will be an update on the IEEE Mass Storage System Reference Model Version 5, on which the final vote was taken in July 1994

The Union and Journal: Vol. 20, No. 9 - February 26,1864

https://digitalmaine.com/union_and_journal/1216/thumbnail.jp

Albuquerque Weekly Citizen, 07-07-1906

https://digitalrepository.unm.edu/abq_citizen_news/1624/thumbnail.jp

Portland Daily Press: April 17, 1900

https://digitalmaine.com/pdp_1900/1090/thumbnail.jp