Third Party Software Attributions, Copyrights, Licenses and Disclosure
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DICE Framework – Initial Version
Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements DICE Framework – Initial version Deliverable 1.5 Deliverable 1.5. DICE Framework – Initial version Deliverable: D1.5 Title: DICE Framework – Initial version Editor(s): Marc Gil (PRO) Contributor(s): Marc Gil (PRO), Ismael Torres (PRO), Christophe Joubert (PRO) Giuliano Casale (IMP), Darren Whigham (Flexi), Matej Artač (XLAB), Diego Pérez (Zar), Vasilis Papanikolaou (ATC), Francesco Marconi (PMI), Eugenio Gianniti(PMI), Marcello M. Bersani (PMI), Daniel Pop (IEAT), Tatiana Ustinova (IMP), Gabriel Iuhasz (IEAT), Chen Li (IMP), Ioan Gragan (IEAT), Damian Andrew Tamburri (PMI), Jose Merseguer (Zar), Danilo Ardagna (PMI) Reviewers: Darren Whigham (Flexi), Matteo Rossi (PMI) Type (R/P/DEC): - Version: 1.0 Date: 31-January-2017 Status: First Version Dissemination level: Public Download page: http://www.dice-h2020.eu/deliverables/ Copyright: Copyright © 2017, DICE consortium – All rights reserved DICE partners ATC: Athens Technology Centre FLEXI: FlexiOPS IEAT: Institutul e-Austria Timisoara IMP: Imperial College of Science, Technology & Medicine NETF: Netfective Technology SA PMI: Politecnico di Milano PRO: Prodevelop SL XLAB: XLAB razvoj programske opreme in svetovanje d.o.o. ZAR: Universidad De Zaragoza The DICE project (February 2015-January 2018) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 644869 Copyright © 2017, DICE consortium – All rights reserved 2 Deliverable 1.5. DICE Framework – Initial version Executive summary This deliverable documents the DICE Framework, which is composed of a set of tools developed to support the DICE methodology. One of these tools is the DICE IDE, which is the front-end of the DICE methodology and plays a pivotal role in integrating the other tools of the DICE framework. -
Java Linksammlung
JAVA LINKSAMMLUNG LerneProgrammieren.de - 2020 Java einfach lernen (klicke hier) JAVA LINKSAMMLUNG INHALTSVERZEICHNIS Build ........................................................................................................................................................... 4 Caching ....................................................................................................................................................... 4 CLI ............................................................................................................................................................... 4 Cluster-Verwaltung .................................................................................................................................... 5 Code-Analyse ............................................................................................................................................. 5 Code-Generators ........................................................................................................................................ 5 Compiler ..................................................................................................................................................... 6 Konfiguration ............................................................................................................................................. 6 CSV ............................................................................................................................................................. 6 Daten-Strukturen -
Webroot Brightcloud® SDK for C and C++ Sdks Apache License 2.0
Webroot BrightCloud® SDK For C and C++ SDKs Apache License 2.0 • Apache Portable Runtime Utilities (APR-util) Copyright © 2008-2018, The Apache Software Foundation • Apache Portable Runtime Utilities 1.2.12 (APR-util) Copyright © 2008-2018, The Apache Software Foundation • X Delta 3.0.3 Copyright (C) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015 [email protected] Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. “License” shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. “Licensor” shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. “Legal Entity” shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, “control” means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. “You” (or “Your”) shall mean an individual or Legal Entity exercising permissions granted by this License. “Source” form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. “Object” form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. -
Declarative Languages for Big Streaming Data a Database Perspective
Tutorial Declarative Languages for Big Streaming Data A database Perspective Riccardo Tommasini Sherif Sakr University of Tartu Unversity of Tartu [email protected] [email protected] Emanuele Della Valle Hojjat Jafarpour Politecnico di Milano Confluent Inc. [email protected] [email protected] ABSTRACT sources and are pushed asynchronously to servers which are The Big Data movement proposes data streaming systems to responsible for processing them [13]. tame velocity and to enable reactive decision making. However, To facilitate the adoption, initially, most of the big stream approaching such systems is still too complex due to the paradigm processing systems provided their users with a set of API for shift they require, i.e., moving from scalable batch processing to implementing their applications. However, recently, the need for continuous data analysis and pattern detection. declarative stream processing languages has emerged to simplify Recently, declarative Languages are playing a crucial role in common coding tasks; making code more readable and main- fostering the adoption of Stream Processing solutions. In partic- tainable, and fostering the development of more complex appli- ular, several key players introduce SQL extensions for stream cations. Thus, Big Data frameworks (e.g., Flink [9], Spark [3], 1 processing. These new languages are currently playing a cen- Kafka Streams , and Storm [19]) are starting to develop their 2 3 4 tral role in fostering the stream processing paradigm shift. In own SQL-like approaches (e.g., Flink SQL , Beam SQL , KSQL ) this tutorial, we give an overview of the various languages for to declaratively tame data velocity. declarative querying interfaces big streaming data. -
Coldfusion Server and Performance Management Suite 2018
ColdFusion Server and Performance Management Suite 2018 Third Party Software Notices and/or Additional Terms and Conditions Date Generated: 2018/09/10 LibJPEG ID: 54 Thomas G. Lane This software is based in part on the work of the Independent JPEG Group. _________________________________________________________________________________________________________ Adobe modified Zlib ID: 823 Jean-loup Gailly and Mark Adler Portions include technology used under license from Jean-loup Gailly and Mark Adler, and are copyrighted. _________________________________________________________________________________________________________ Apache Commons Collections ID: 306 Apache Foundation and Contributors This product includes software licensed under the Apache License, Version 2.0 http://www.apache.org/licenses/LICENSE-2.0 _________________________________________________________________________________________________________ Apache Commons Collections ID: 1132 The Apache Software Foundation The Apache Software License, Version 1.1 Copyright (c) 1999-2001, 1999-2003 The Apache Software Foundation. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other -
Smart Execution of Distributed Application by Balancing Resources in Mobile Devices
ALMA MATER STUDIORUM - UNIVERSITÀ DI BOLOGNA SCUOLA DI INGEGNERIA E ARCHITETTURA DISI INGEGNERIA INFORMATICA TESI DI LAUREA in Reti di Calcolatori M Smart execution of distributed application by balancing resources in mobile devices and cloud-based avatars CANDIDATO: RELATORE: Giacomo Gezzi Chiar.mo Prof. Ing. Antonio Corradi CORRELATORE: Chiar.mo Prof. Cristian Borcea Anno Accademico 2014/2015 Sessione III 2 Abstract L’obiettivo del progetto di tesi svolto e` quello di realizzare un servizio di livello middleware dedicato ai dispositivi mobili che sia in grado di fornire il supporto per l’offloading di codice verso una infrastruttura cloud. In particolare il progetto si concentra sulla migrazione di codice verso macchine virtuali dedicate al singolo utente. Il sistema operativo delle VMs e` lo stesso utilizzato dal device mobile. Come i precedenti lavori sul computation offloading, il progetto di tesi deve garantire migliori per- formance in termini di tempo di esecuzione e utilizzo della batteria del dispositivo. In particolare l’obiettivo piu` ampio e` quello di adattare il principio di computation offloading a un contesto di sistemi distribuiti mobili, miglio- rando non solo le performance del singolo device, ma l’esecuzione stessa dell’applicazione distribuita. Questo viene fatto tramite una gestione di- namica delle decisioni di offloading basata, non solo, sullo stato del de- vice, ma anche sulla volonta` e/o sullo stato degli altri utenti appartenenti allo stesso gruppo. Per esempio, un primo utente potrebbe influenzare le decisioni degli altri membri del gruppo specificando una determinata richiesta, come alta qualita` delle informazioni, risposta rapida o basata su altre informazioni di alto livello. -
Java Web Application with Database Example
Java Web Application With Database Example Amerindian Verne sheafs very spaciously while Torrence remains blond and suprasegmental. Udall herdialyses strappers her sayings underselling afore, too shouldered furtively? and disciplinal. Collins remains pigeon-hearted: she barbarises Java and with web delivered to tomcat using an application server successfully authenticated Our database like to databases because docker container environment. Service to mask the box Data JPA implementation. Here is one example application by all credits must create. Updates may also displays in web delivered right click next thing we are looking for creating accounts, please follow this example application depends on. In role based on gke app running directly click add constraint public web application example by a middleware between records in your application for more than other systems. This is maven in java web framework puts developer productivity and dispatches to learn more? Now we tie everything is web application example? This file and brief other dependency files are provided anytime a ZIP archive letter can be downloaded with force link provided at the hen of this tutorial. Confirming these three developers to let see also with database access, jstl to it returns the same infrastructure. What database web container takes care of java and examples. As applications with database support plans that connect to implement nested class names and infrastructure to display correctly set outo commit multiple user interface for. The wizard will ask you to select the schema and the tables of your database and allows you to select the users and groups tables, run related transactions, the last step is to create XML file and add all the mappings to it. -
Customizing Eclipse RCP Applications Techniques to Use with SWT and Jface
Customizing Eclipse RCP applications Techniques to use with SWT and JFace Skill Level: Intermediate Scott Delap ([email protected]) Desktop/Enterprise Java Consultant Annas Andy Maleh ([email protected]) Consultant 27 Feb 2007 Most developers think that an Eclipse Rich Client Platform (RCP) application must look similar in nature to the Eclipse integrated development environment (IDE). This isn't the case, however. This tutorial will explain a number of simple techniques you can use with the Standard Widget Toolkit (SWT) and JFace to create applications that have much more personality than the Eclipse IDE. Section 1. Before you start About this tutorial This tutorial will explain a number of UI elements that can be changed in Eclipse RCP, JFace, and SWT. Along the way, you will learn about basic changes you can make, such as fonts and colors. You will also learn advanced techniques, including how to create custom wizards and section headers. Using these in conjunction should provide you the ability to go from a typical-looking Eclipse RCP application to a distinctive but visually appealing one. Prerequisites Customizing Eclipse RCP applications © Copyright IBM Corporation 1994, 2008. All rights reserved. Page 1 of 40 developerWorks® ibm.com/developerWorks You should have a basic familiarity with SWT, JFace, and Eclipse RCP. System requirements To run the examples, you need a computer capable of adequately running Eclipse V3.2 and 50 MB of free disk space. Section 2. Heavyweight and lightweight widgets Before diving into techniques that can be used to modify SWT, JFace, and Eclipse RCP in general, it's important to cover the fundamental characteristics of SWT and how they apply to the appearance of the widget set. -
Tracking Known Security Vulnerabilities in Third-Party Components
Tracking known security vulnerabilities in third-party components Master’s Thesis Mircea Cadariu Tracking known security vulnerabilities in third-party components THESIS submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE in COMPUTER SCIENCE by Mircea Cadariu born in Brasov, Romania Software Engineering Research Group Software Improvement Group Department of Software Technology Rembrandt Tower, 15th floor Faculty EEMCS, Delft University of Technology Amstelplein 1 - 1096HA Delft, the Netherlands Amsterdam, the Netherlands www.ewi.tudelft.nl www.sig.eu c 2014 Mircea Cadariu. All rights reserved. Tracking known security vulnerabilities in third-party components Author: Mircea Cadariu Student id: 4252373 Email: [email protected] Abstract Known security vulnerabilities are introduced in software systems as a result of de- pending on third-party components. These documented software weaknesses are hiding in plain sight and represent the lowest hanging fruit for attackers. Despite the risk they introduce for software systems, it has been shown that developers consistently download vulnerable components from public repositories. We show that these downloads indeed find their way in many industrial and open-source software systems. In order to improve the status quo, we introduce the Vulnerability Alert Service, a tool-based process to track known vulnerabilities in software projects throughout the development process. Its usefulness has been empirically validated in the context of the external software product quality monitoring service offered by the Software Improvement Group, a software consultancy company based in Amsterdam, the Netherlands. Thesis Committee: Chair: Prof. Dr. A. van Deursen, Faculty EEMCS, TU Delft University supervisor: Prof. Dr. A. -
Unravel Data Systems Version 4.5
UNRAVEL DATA SYSTEMS VERSION 4.5 Component name Component version name License names jQuery 1.8.2 MIT License Apache Tomcat 5.5.23 Apache License 2.0 Tachyon Project POM 0.8.2 Apache License 2.0 Apache Directory LDAP API Model 1.0.0-M20 Apache License 2.0 apache/incubator-heron 0.16.5.1 Apache License 2.0 Maven Plugin API 3.0.4 Apache License 2.0 ApacheDS Authentication Interceptor 2.0.0-M15 Apache License 2.0 Apache Directory LDAP API Extras ACI 1.0.0-M20 Apache License 2.0 Apache HttpComponents Core 4.3.3 Apache License 2.0 Spark Project Tags 2.0.0-preview Apache License 2.0 Curator Testing 3.3.0 Apache License 2.0 Apache HttpComponents Core 4.4.5 Apache License 2.0 Apache Commons Daemon 1.0.15 Apache License 2.0 classworlds 2.4 Apache License 2.0 abego TreeLayout Core 1.0.1 BSD 3-clause "New" or "Revised" License jackson-core 2.8.6 Apache License 2.0 Lucene Join 6.6.1 Apache License 2.0 Apache Commons CLI 1.3-cloudera-pre-r1439998 Apache License 2.0 hive-apache 0.5 Apache License 2.0 scala-parser-combinators 1.0.4 BSD 3-clause "New" or "Revised" License com.springsource.javax.xml.bind 2.1.7 Common Development and Distribution License 1.0 SnakeYAML 1.15 Apache License 2.0 JUnit 4.12 Common Public License 1.0 ApacheDS Protocol Kerberos 2.0.0-M12 Apache License 2.0 Apache Groovy 2.4.6 Apache License 2.0 JGraphT - Core 1.2.0 (GNU Lesser General Public License v2.1 or later AND Eclipse Public License 1.0) chill-java 0.5.0 Apache License 2.0 Apache Commons Logging 1.2 Apache License 2.0 OpenCensus 0.12.3 Apache License 2.0 ApacheDS Protocol -
Talend Open Studio for Big Data Release Notes
Talend Open Studio for Big Data Release Notes 6.0.0 Talend Open Studio for Big Data Adapted for v6.0.0. Supersedes previous releases. Publication date July 2, 2015 Copyleft This documentation is provided under the terms of the Creative Commons Public License (CCPL). For more information about what you can and cannot do with this documentation in accordance with the CCPL, please read: http://creativecommons.org/licenses/by-nc-sa/2.0/ Notices Talend is a trademark of Talend, Inc. All brands, product names, company names, trademarks and service marks are the properties of their respective owners. License Agreement The software described in this documentation is licensed under the Apache License, Version 2.0 (the "License"); you may not use this software except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.html. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. This product includes software developed at AOP Alliance (Java/J2EE AOP standards), ASM, Amazon, AntlR, Apache ActiveMQ, Apache Ant, Apache Avro, Apache Axiom, Apache Axis, Apache Axis 2, Apache Batik, Apache CXF, Apache Cassandra, Apache Chemistry, Apache Common Http Client, Apache Common Http Core, Apache Commons, Apache Commons Bcel, Apache Commons JxPath, Apache -
Recoder with Eclipse
School of Mathematics and Systems Engineering Reports from MSI - Rapporter från MSI Recoder with Eclipse Saúl Díaz González Álvaro Pariente Alonso June MSI Report 09031 2009 Växjö University ISSN 1650-2647 SE-351 95 VÄXJÖ ISRN VXU/MSI/DA/E/--09031/--SE Abstract RECODER is a Java framework aimed at source code analysis and metaprogramming. It works on several layers to offer a set of semi-automatic transformations and tools, ranging from a source code parser and unparser, offering a highly detailed syntactical model, analysis tools which are able to infer types of expressions, evaluate compile-time constants and keep cross-reference information, to transformations of the very Java sources, containing a library of common transformations and incremental analysis capabilities. These make up an useful set of tools which can be extended to provide the basis for more advanced refactoring and metacompiler applications, in very different fields, from code beautification and simple preprocessors, stepping to software visualization and design problem detection tools to adaptive programming environments and invasive software composition. The core system development of RECODER started in the academic field and as such, it was confined into a small platform of users. Although a powerful tool, RECODER framework lacks usability and requires extensive and careful configuration to work properly. In order to overcome such limitations, we have taken advantage of the Eclipse Integrated Development Environment (Eclipse IDE) developed by IBM, specifically its Plugin Framework Architecture to build a tool and a vehicle where to integrate RECODER functionalities into a wide-used, well-known platform to provide a semi- automated and user-friendly interface.