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Planning Guide
Oracle AutoVue 20.2, Client/Server Deployment Planning Guide March 2012 Copyright © 1999, 2012, Oracle and/or its affiliates. All rights reserved. Portions of this software Copyright 1996-2007 Glyph & Cog, LLC. Portions of this software Copyright Unisearch Ltd, Australia. Portions of this software are owned by Siemens PLM © 1986-2012. All rights reserved. This software uses ACIS® software by Spatial Technology Inc. ACIS® Copyright © 1994-2008 Spatial Technology Inc. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its affiliates. Other names may be trademarks of their respective owners. This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this software or related documentation is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Govern- ment, the following notice is applicable: U.S. GOVERNMENT RIGHTS Programs, software, databases, and related documentation and technical data delivered to U.S. Government customers are "com- mercial computer software" or "commercial technical data" pursuant to the applicable Federal Acquisition Regulation and agency- specific supplemental regulations. -
Dynamic Integration of Mobile JXTA with Cloud Computing for Emergency Rural Public Health Care
Osong Public Health Res Perspect 2013 4(5), 255e264 http://dx.doi.org/10.1016/j.phrp.2013.09.004 pISSN 2210-9099 eISSN 2233-6052 - ORIGINAL ARTICLE - Dynamic Integration of Mobile JXTA with Cloud Computing for Emergency Rural Public Health Care Rajasekaran Rajkumar*, Nallani Chackravatula Sriman Narayana Iyengar School of Computing Science and Engineering, VIT University, Vellore, India. Received: August 21, Abstract 2013 Objectives: The existing processes of health care systems where data collection Revised: August 30, requires a great deal of labor with high-end tasks to retrieve and analyze in- 2013 formation, are usually slow, tedious, and error prone, which restrains their Accepted: September clinical diagnostic and monitoring capabilities. Research is now focused on 3, 2013 integrating cloud services with P2P JXTA to identify systematic dynamic process for emergency health care systems. The proposal is based on the concepts of a KEYWORDS: community cloud for preventative medicine, to help promote a healthy rural ambulance alert alarm, community. We investigate the approaches of patient health monitoring, emergency care, and an ambulance alert alarm (AAA) under mobile cloud-based cloud, telecare or community cloud controller systems. JXTA, Methods: Considering permanent mobile users, an efficient health promotion mHealth, method is proposed. Experiments were conducted to verify the effectiveness of P2P the method. The performance was evaluated from September 2011 to July 2012. A total of 1,856,454 cases were transported and referred to hospital, identified with health problems, and were monitored. We selected all the peer groups and the control server N0 which controls N1,N2, and N3 proxied peer groups. -
Solving Quarto with JXTA and JNGI
Solving Quarto with JXTA and JNGI Matthew Shepherd University of Texas at Austin Abstract. This paper presents an implementation of a grid-based autonomous quarto player. The implementation uses the JNGI framework which itself is written on top of JXTA. 1 Introduction Quarto is a game reminiscent of tic-tac-toe. It is played with sixteen unique pieces on a four-by-four square board. Each piece is large or small, black or white, solid or hollow and square or round. The game begins with an empty board and all sixteen pieces available. Two players take successive turns with the first player choosing an available piece. That piece is given to the second player who places it on an empty spot on the board. The roles reverse and the process repeats. A player wins by placing the final piece in a row, column or diagonal where all four pieces have at least one attribute in common. For example, the winner might place a piece that completes a row of four black pieces or a column of four round pieces. My goal was to write an implementation of the game and an autonomous program for a human player to compete against. The program performs an exhaustive search of possible moves in order to find the most appropriate one. If the program were to perform the search on the first move of the game, the sixteen available pieces and sixteen empty squares would combine to produce a (16!)^2 search space. Eliminating the moves that take place after a game has already been won reduces that number, but a single processor would still not be sufficient to perform such a task in a reasonable amount of time. -
Extensions of JADE and JXTA for Implementing a Distributed System
EXTENSIONS OF JADE AND JXTA FOR IMPLEMENTING A DISTRIBUTED SYSTEM Edward Kuan-Hua Chen A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF APPLIED SCIENCE School of Engineering Science O Edward Kuan-Hua Chen 2005 SIMON FRASER UNIVERSITY Spring 2005 All rights reserved. This work may not be reproduced in whole or in part, by photocopy or other means, without the permission of the author. APPROVAL Edward Kuan-Hua Chen Master of Applied Science Extensions of JADE and JXTA for Implementing a Distributed System EXAMINING COMMITTEE Chair: John Jones Professor, School of Engineering Science William A. Gruver Academic Supervisor Professor, School of Engineering Science Dorian Sabaz Technical Supervisor Chief Technology Officer Intelligent Robotics Corporation Shaohong Wu External Examiner National Research Council Date Approved: April 8, 2004 SIMON FRASER UNIVERSITY PARTIAL COPYRIGHT LICENCE The author, whose copyright is declared on the title page of this work, has granted to Simon Fraser University the right to lend this thesis, project or extended essay to users of the Simon Fraser University Library, and to make partial or single copies only for such users or in response to a request from the library of any other university, or other educational institution, on its own behalf or for one of its users. The author has further granted permission to Simon Fraser University to keep or make a digital copy for use in its circulating collection. The author has further agreed that permission for multiple copying of this work for scholarly purposes may be granted by either the author or the Dean of Graduate Studies. -
Peer-To-Peer Virtualized Services
International Journal on Advances in Internet Technology, vol 4 no 3 & 4, year 2011, http://www.iariajournals.org/internet_technology/ 89 Peer-to-Peer Virtualized Services David Bailey and Kevin Vella University of Malta Msida, Malta Email: [email protected], [email protected] Abstract—This paper describes the design and operation advance a rethink of general purpose operating system of a peer-to-peer framework for providing, locating and architecture. consuming distributed services that are encapsulated within The performance hit commonly associated with virtual- virtual machines. We believe that the decentralized nature of peer-to-peer networks acting in tandem with techniques such ization has been partly addressed on commodity computers as live virtual machine migration and replication facilitate by recent modifications to the x86 architecture [3], with both scalable and on-demand provision of services. Furthermore, AMD and Intel announcing specifications for integrating the use of virtual machines eases the deployment of a wide IOMMUs (Input/Output Memory Management Units) with range of legacy systems that may subsequently be exposed upcoming architectures. While this largely resolves the issue through the framework. To illustrate the feasibility of running distributed services within virtual machines, several computa- of computational slow-down and simplifies hypervisor de- tional benchmarks are executed on a compute cluster running sign, virtualized I/O performance will remain mostly below our framework, and their performance characteristics are par until I/O devices are capable of holding direct and evaluated. While I/O-intensive benchmarks suffer a penalty concurrent conversations with several virtual machines on due to virtualization-related limitations in the prevailing I/O the same host. -
Day 2, 1640: Leveraging Opensparc
Leveraging OpenSPARC ESA Round Table 2006 on Next Generation Microprocessors for Space Applications G.Furano, L.Messina – TEC-EDD OpenSPARC T1 • The T1 is a new-from-the-ground-up SPARC microprocessor implementation that conforms to the UltraSPARC architecture 2005 specification and executes the full SPARC V9 instruction set. Sun has produced two previous multicore processors: UltraSPARC IV and UltraSPARC IV+, but UltraSPARC T1 is its first microprocessor that is both multicore and multithreaded. • The processor is available with 4, 6 or 8 CPU cores, each core able to handle four threads. Thus the processor is capable of processing up to 32 threads concurrently. • Designed to lower the energy consumption of server computers, the 8-cores CPU uses typically 72 W of power at 1.2 GHz. G.Furano, L.Messina – TEC-EDD 72W … 1.2 GHz … 90nm … • Is a cutting edge design, targeted for high-end servers. • NOT FOR SPACE USE • But, let’s see which are the potential spin-in … G.Furano, L.Messina – TEC-EDD Why OPEN ? On March 21, 2006, Sun made the UltraSPARC T1 processor design available under the GNU General Public License. The published information includes: • Verilog source code of the UltraSPARC T1 design, including verification suite and simulation models • ISA specification (UltraSPARC Architecture 2005) • The Solaris 10 OS simulation images • Diagnostics tests for OpenSPARC T1 • Scripts, open source and Sun internal tools needed to simulate the design and to do synthesis of the design • Scripts and documentation to help with FPGA implementation -
Sparc Enterprise T5440 Server Architecture
SPARC ENTERPRISE T5440 SERVER ARCHITECTURE Unleashing UltraSPARC T2 Plus Processors with Innovative Multi-core Multi-thread Technology White Paper July 2009 TABLE OF CONTENTS THE ULTRASPARC T2 PLUS PROCESSOR 0 THE WORLD'S FIRST MASSIVELY THREADED SYSTEM ON A CHIP (SOC) 0 TAKING CHIP MULTITHREADED DESIGN TO THE NEXT LEVEL 1 ULTRASPARC T2 PLUS PROCESSOR ARCHITECTURE 3 SERVER ARCHITECTURE 8 SYSTEM-LEVEL ARCHITECTURE 8 CHASSIS DESIGN INNOVATIONS 13 ENTERPRISE-CLASS MANAGEMENT AND SOFTWARE 19 SYSTEM MANAGEMENT TECHNOLOGY 19 SCALABILITY AND SUPPORT FOR INNOVATIVE MULTITHREADING TECHNOLOGY21 CONCLUSION 28 0 The UltraSPARC T2 Plus Processors Chapter 1 The UltraSPARC T2 Plus Processors The UltraSPARC T2 and UltraSPARC T2 Plus processors are the industry’s first system on a chip (SoC), supplying the most cores and threads of any general-purpose processor available, and integrating all key system functions. The World's First Massively Threaded System on a Chip (SoC) The UltraSPARC T2 Plus processor eliminates the need for expensive custom hardware and software development by integrating computing, security, and I/O on to a single chip. Binary compatible with earlier UltraSPARC processors, no other processor delivers so much performance in so little space and with such small power requirements letting organizations rapidly scale the delivery of new network services with maximum efficiency and predictability. The UltraSPARC T2 Plus processor is shown in Figure 1. Figure 1. The UltraSPARC T2 Plus processor with CoolThreads technology 1 The UltraSPARC -
Apache Directory Studio™
Main | ApacheDS | Studio | LDAP API | Mavibot | eSCIMo | Fortress | Kerby Apache Directory Studio Apache Directory Studio™ Home News The Eclipse-based LDAP browser and directory client Screenshots Apache Directory Studio is a complete directory tooling platform Downloads intended to be used with any LDAP server however it is particularly Version 2.0.0-M10 designed for use with ApacheDS. It is an Eclipse RCP application, Older Versions composed of several Eclipse (OSGi) plugins, that can be easily upgraded with additional ones. These plugins can even run within Documentation Eclipse itself. User's Guide Developer's Guide Download Apache FAQs Directory Studio 2.0.0-M10 Resources ChangeLog Testimonials LDAP Browser LDIF Editor Support Mailing Lists & IRC The LDAP Browser has been designed to work with almost any The LDIF Editor is a tool for editing LDIF files. It provides syntax Sources LDAP server available. It not only permits to read and display the highlighting and content assistance. Issue Tracking tree of your LDAP Server but also allows you to modify it by creating, editing or removing entries. Commercial Support Community How to Contribute Schema Editor Embedded ApacheDS Team The Schema Editor has been designed to edit the schema files Apache Directory Studio bundles the latest version of the Original Project Proposal in the OpenLDAP format. It allows you to edit easily attribute LDAPV3 certified ApacheDS. Creating and launching a new Special Thanks types and object classes for Apache Directory Server and LDAP server now takes less than 10 seconds! OpenLDAP. About Apache Apache License ApacheDS Configuration ACI Editor Sponsorship Thanks The ApacheDS Configuration Editor can be used to edit the The ACI Editor allows you to define, for an entry or a set of Security server configuration ('server.xml' and 'config.ldif' files) of an entries, graphically or manually (in souce code mode), an ACI Apache Directory Server installation. -
The Anatomy of a Secure Web Application Using Java EE, Spring Security and Apache Fortress
The Anatomy of a Secure Web App Using JavaEE, Spring Security and Apache Fortress May 18, 2017 ApacheCon NA, Miami Objective • Think about how a web app would behave, if we spared no expense for security. ApacheCon NA, Miami 2017 2 Introductions @play Shawn McKinney @work • Software Architect • PMC Apache Directory Project • Engineering Team ApacheCon NA, Miami 2017 3 Agenda Look at two examples… 1. Apache Fortress Demo + Java EE + Spring Security – https://github.com/shawnmckinney/apache-fortress-demo 2. Fortress SAML Demo + Spring Security SP – https://github.com/shawnmckinney/fortress-saml-demo ApacheCon NA, Miami 2017 4 Themes Covered 1. Simplicity 2. Common Sense 3. Household Analogies to explain ‘Why’ ApacheCon NA, Miami 2017 5 With a few caveats… • Not cloud native • Not microservices • Not big data Not a problem, same rules apply ApacheCon NA, Miami 2017 6 And a couple of recommendations • Listen, don’t take notes. These slides are published and have all the details you need. • Save questions for the end (we’ve got a lot of ground to cover). ApacheCon NA, Miami 2017 7 Example #1 Apache Fortress Demo https://github.com/shawnmckinney/apache-fortress-demo ApacheCon NA, Miami 2017 8 The Five Security Layers of Java Web Apps 1.Java Secure Socket Extension (JSSE) 2.Java EE Security 3.Spring Security 4.Web App Framework 5.Database Functions ApacheCon NA, Miami 2017 9 Rationale for Each 1.JSSE ---------------------------- private conversations 2.Java EE Security ---------- deadbolt on front door 3.Spring Security ------------ locks on room doors 4.Web App Framework - locks on equipment in rooms 5.Database Functions ---- content filtering ApacheCon NA, Miami 2017 10 Two Areas of Access Control 1.Java EE and Spring Role Declarative checks 2.RBAC Permission Programmatic checks ApacheCon NA, Miami 2017 11 Start with Tomcat Servlet Container ApacheCon NA, Miami 2017 12 1 & 2. -
Opensparc – an Open Platform for Hardware Reliability Experimentation
OpenSPARC – An Open Platform for Hardware Reliability Experimentation Ishwar Parulkar and Alan Wood Sun Microsystems, Inc. James C. Hoe and Babak Falsafi Carnegie Mellon University Sarita V. Adve and Josep Torrellas University of Illinois at Urbana- Champaign Subhasish Mitra Stanford University IEEE SELSE 4 - March 26, 2008 www.OpenSPARC.net Outline 1.Chip Multi-threading (CMT) 2.OpenSPARC T2 and T1 processors 3.Reliability in OpenSPARC processors 4.What is available in OpenSPARC 5.Current university research using OpenSPARC 6.Future research directions IEEE SELSE 4 – March 26, 2008 2 www.OpenSPARC.net World's First 64-bit Open Source Microprocessor OpenSPARC.net Governed by GPLv2 Complete processor architecture & implementation Register Transfer Level (RTL) Hypervisor API Verification suite and architectural models Simulation model for operating system bringup on s/w IEEE SELSE 4 – March 26, 2008 3 www.OpenSPARC.net Chip Multithreading (CMT) Instruction- Low Low Low Medium Low High level Parallelism Thread-level Parallelism High High High High High Instruction/Data Large Large Medium Large Large Working Set Data Sharing Low Medium High Medium High Medium IEEE SELSE 4 – March 26, 2008 4 www.OpenSPARC.net Memory Bottleneck Relative Performance 10000 CPU Frequency DRAM Speeds 1000 2 Years 100 Every Gap 2x -- CPU 6 10 -- 2x Every DRAM Years 1 1980 1985 1990 1995 2000 2005 Source: Sun World Wide Analyst Conference Feb. 25, 2003 IEEE SELSE 4 – March 26, 2008 5 www.OpenSPARC.net Single Threading HURRY Up to 85% Cycles Waiting for Memory -
Open Source Software Packages
Hitachi Ops Center V. 10.3.1 Open Source Software Packages Contact Information: Hitachi Ops Center Project Manager Hitachi Vantara LLC 2535 Augustine Drive Santa Clara, California 95054 Name of Product/Product Version License Component aesh 2.4 Apache License, Version 2.0 aesh Extensions 1.8 Apache License, Version 2.0 aesh Readline 2.0 Apache License, Version 2.0 aesh Terminal API 2.0 Apache License, Version 2.0 @angular-builders/custom- 8.0.0-RC.0 The MIT License webpack @angular-devkit/build-angular 0.800.0-rc.2 The MIT License @angular-devkit/build-angular 0.803.25 The MIT License @angular-devkit/core 7.3.8 The MIT License @angular-devkit/schematics 7.3.8 The MIT License @angular/animations 7.2.15 The MIT License @angular/animations 8.2.14 The MIT License @angular/cdk 7.3.7 The MIT License Name of Product/Product Version License Component @angular/cli 8.0.0 The MIT License @angular/cli 8.3.25 The MIT License @angular/common 7.2.15 The MIT License @angular/common 8.2.14 The MIT License @angular/compiler 7.2.15 The MIT License @angular/compiler 8.2.14 The MIT License @angular/compiler-cli 8.2.14 The MIT License @angular/core 7.2.15 The MIT License @angular/forms 7.2.13 The MIT License @angular/forms 7.2.15 The MIT License @angular/forms 8.2.14 The MIT License @angular/forms 8.2.7 The MIT License @angular/language-service 8.2.14 The MIT License @angular/platform-browser 7.2.15 The MIT License @angular/platform-browser 8.2.14 The MIT License Name of Product/Product Version License Component @angular/platform-browser- 7.2.15 The MIT License -
Decentralized Grid Services on P2P Networks: a Case Study
Decentralized Grid Services on P2P Networks: A Case Study FREDRIK SÖDERSTRÖM Master of Science Thesis Stockholm, Sweden 2005 IMIT/LECS-2005-05 Decentralized Grid Services on P2P Networks: A Case Study FREDRIK SÖDERSTRÖM Exam iner Assoc. Prof. Vladim ir Vlassov (IM IT/KTH) Master of Science Thesis Stockholm, Sweden 2005 IMIT/LECS-2005-05 Abstract Computers have been connected to networks for a long time. Traditional networks usually provide only simple services. To keep up with the ever- increasing demand for computing resources, like processing power and storage, there is a need to leverage more power from existing networks. One way of managing all resources of large networks, and letting multiple organizations share these resources with each other, is called Grid comput- ing. In this thesis, we examine one of the services that is necessary for a Grid, namely resource discovery, a mechanism for finding the available re- sources on a network. Resource discovery services are often designed to rely on some kind of central repository where all resources must be regis- tered. But this approach does not work well in very large networks, be- cause the central repository will become a bottleneck. Resource discovery can also be decentralized, and we suggest that it should be built on peer-to- peer technology to achieve maximum scalability. Using JXTA, a peer-to- peer platform, and the Globus Toolkit for Grid services, we create and evaluate a prototype implementation of a distributed discovery service. Acknowledgments I would like to thank my father, Håkan Söderström, for helping me with a number of bugs and reading drafts of the report.