Openjava: a Class-Based Macro System for Java
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Application of TRIE Data Structure and Corresponding Associative Algorithms for Process Optimization in GRID Environment
Application of TRIE data structure and corresponding associative algorithms for process optimization in GRID environment V. V. Kashanskya, I. L. Kaftannikovb South Ural State University (National Research University), 76, Lenin prospekt, Chelyabinsk, 454080, Russia E-mail: a [email protected], b [email protected] Growing interest around different BOINC powered projects made volunteer GRID model widely used last years, arranging lots of computational resources in different environments. There are many revealed problems of Big Data and horizontally scalable multiuser systems. This paper provides an analysis of TRIE data structure and possibilities of its application in contemporary volunteer GRID networks, including routing (L3 OSI) and spe- cialized key-value storage engine (L7 OSI). The main goal is to show how TRIE mechanisms can influence de- livery process of the corresponding GRID environment resources and services at different layers of networking abstraction. The relevance of the optimization topic is ensured by the fact that with increasing data flow intensi- ty, the latency of the various linear algorithm based subsystems as well increases. This leads to the general ef- fects, such as unacceptably high transmission time and processing instability. Logically paper can be divided into three parts with summary. The first part provides definition of TRIE and asymptotic estimates of corresponding algorithms (searching, deletion, insertion). The second part is devoted to the problem of routing time reduction by applying TRIE data structure. In particular, we analyze Cisco IOS switching services based on Bitwise TRIE and 256 way TRIE data structures. The third part contains general BOINC architecture review and recommenda- tions for highly-loaded projects. -
Metaobject Protocols: Why We Want Them and What Else They Can Do
Metaobject protocols: Why we want them and what else they can do Gregor Kiczales, J.Michael Ashley, Luis Rodriguez, Amin Vahdat, and Daniel G. Bobrow Published in A. Paepcke, editor, Object-Oriented Programming: The CLOS Perspective, pages 101 ¾ 118. The MIT Press, Cambridge, MA, 1993. © Massachusetts Institute of Technology All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher. Metaob ject Proto cols WhyWeWant Them and What Else They Can Do App ears in Object OrientedProgramming: The CLOS Perspective c Copyright 1993 MIT Press Gregor Kiczales, J. Michael Ashley, Luis Ro driguez, Amin Vahdat and Daniel G. Bobrow Original ly conceivedasaneat idea that could help solve problems in the design and implementation of CLOS, the metaobject protocol framework now appears to have applicability to a wide range of problems that come up in high-level languages. This chapter sketches this wider potential, by drawing an analogy to ordinary language design, by presenting some early design principles, and by presenting an overview of three new metaobject protcols we have designed that, respectively, control the semantics of Scheme, the compilation of Scheme, and the static paral lelization of Scheme programs. Intro duction The CLOS Metaob ject Proto col MOP was motivated by the tension b etween, what at the time, seemed liketwo con icting desires. The rst was to have a relatively small but p owerful language for doing ob ject-oriented programming in Lisp. The second was to satisfy what seemed to b e a large numb er of user demands, including: compatibility with previous languages, p erformance compara- ble to or b etter than previous implementations and extensibility to allow further exp erimentation with ob ject-oriented concepts see Chapter 2 for examples of directions in which ob ject-oriented techniques might b e pushed. -
A New Macro-Programming Paradigm in Data Collection Sensor Networks
SpaceTime Oriented Programming: A New Macro-Programming Paradigm in Data Collection Sensor Networks Hiroshi Wada and Junichi Suzuki Department of Computer Science University of Massachusetts, Boston Program Insert This paper proposes a new programming paradigm for wireless sensor networks (WSNs). It is designed to significantly reduce the complexity of WSN programming by providing a new high- level programming abstraction to specify spatio-temporal data collections in a WSN from a global viewpoint as a whole rather than sensor nodes as individuals. Abstract SpaceTime Oriented Programming (STOP) is new macro-programming paradigm for wireless sensor networks (WSNs) in that it supports both spatial and temporal aspects of sensor data and it provides a high-level abstraction to express data collections from a global viewpoint for WSNs as a whole rather than sensor nodes as individuals. STOP treats space and time as first-class citizens and combines them as spacetime continuum. A spacetime is a three dimensional object that consists of a two special dimensions and a time playing the role of the third dimension. STOP allows application developers to program data collections to spacetime, and abstracts away the details in WSNs, such as how many nodes are deployed in a WSN, how nodes are connected with each other, and how to route data queries in a WSN. Moreover, STOP provides a uniform means to specify data collections for the past and future. Using the STOP application programming interfaces (APIs), application programs (STOP macro programs) can obtain a “snapshot” space at a given time in a given spatial resolutions (e.g., a space containing data on at least 60% of nodes in a give spacetime at 30 minutes ago.) and a discrete set of spaces that meet specified spatial and temporal resolutions. -
C Programming: Data Structures and Algorithms
C Programming: Data Structures and Algorithms An introduction to elementary programming concepts in C Jack Straub, Instructor Version 2.07 DRAFT C Programming: Data Structures and Algorithms, Version 2.07 DRAFT C Programming: Data Structures and Algorithms Version 2.07 DRAFT Copyright © 1996 through 2006 by Jack Straub ii 08/12/08 C Programming: Data Structures and Algorithms, Version 2.07 DRAFT Table of Contents COURSE OVERVIEW ........................................................................................ IX 1. BASICS.................................................................................................... 13 1.1 Objectives ...................................................................................................................................... 13 1.2 Typedef .......................................................................................................................................... 13 1.2.1 Typedef and Portability ............................................................................................................. 13 1.2.2 Typedef and Structures .............................................................................................................. 14 1.2.3 Typedef and Functions .............................................................................................................. 14 1.3 Pointers and Arrays ..................................................................................................................... 16 1.4 Dynamic Memory Allocation ..................................................................................................... -
Java (Programming Langua a (Programming Language)
Java (programming language) From Wikipedia, the free encyclopedialopedia "Java language" redirects here. For the natural language from the Indonesian island of Java, see Javanese language. Not to be confused with JavaScript. Java multi-paradigm: object-oriented, structured, imperative, Paradigm(s) functional, generic, reflective, concurrent James Gosling and Designed by Sun Microsystems Developer Oracle Corporation Appeared in 1995[1] Java Standard Edition 8 Update Stable release 5 (1.8.0_5) / April 15, 2014; 2 months ago Static, strong, safe, nominative, Typing discipline manifest Major OpenJDK, many others implementations Dialects Generic Java, Pizza Ada 83, C++, C#,[2] Eiffel,[3] Generic Java, Mesa,[4] Modula- Influenced by 3,[5] Oberon,[6] Objective-C,[7] UCSD Pascal,[8][9] Smalltalk Ada 2005, BeanShell, C#, Clojure, D, ECMAScript, Influenced Groovy, J#, JavaScript, Kotlin, PHP, Python, Scala, Seed7, Vala Implementation C and C++ language OS Cross-platform (multi-platform) GNU General Public License, License Java CommuniCommunity Process Filename .java , .class, .jar extension(s) Website For Java Developers Java Programming at Wikibooks Java is a computer programming language that is concurrent, class-based, object-oriented, and specifically designed to have as few impimplementation dependencies as possible.ble. It is intended to let application developers "write once, run ananywhere" (WORA), meaning that code that runs on one platform does not need to be recompiled to rurun on another. Java applications ns are typically compiled to bytecode (class file) that can run on anany Java virtual machine (JVM)) regardless of computer architecture. Java is, as of 2014, one of tthe most popular programming ng languages in use, particularly for client-server web applications, witwith a reported 9 million developers.[10][11] Java was originallyy developed by James Gosling at Sun Microsystems (which has since merged into Oracle Corporation) and released in 1995 as a core component of Sun Microsystems'Micros Java platform. -
Not-Dead-Yet--Java-On-Desktop.Pdf
NOT DEAD YET Java on Desktop About me… Gerrit Grunwald 2012… The desktop is dead… …the future of applications… …is the Web ! 8 years later… My application folder… My applications folder (future) My applications folder (reality) ??? Seems desktop is not dead ! But what about Java ? Available Toolkits AWT Abstract Window Toolkit Abstract Window Toolkit Since 1995 Cross Platform Platform dependent Bound to native controls Interface to native controls SWT Standard Window Toolkit Standard Window Toolkit Based on IBM Smalltalk from 1993 Cross Platform Platform dependent Wrapper around native controls Java Swing Successor to AWT Java Swing Since Java 1.2 (1998) Cross Platform Platform independent Introduced Look and Feels Emulates the appearance of native controls Java FX Script Intended successor to Swing Java FX Script Since Java 1.6 (2008) Cross Platform Platform independent No Java Syntax Declarative way to describe UI's (based on F3 from Chris Oliver) Java FX Successor to Swing Java FX Since Java 7 (2011) Cross Platform Platform independent Port from JavaFX Script to Java Not part of the Java SE distribution since Java 11 Most of these are still in use… Is Java FX dead ? Is Java FX dead ? Open Sourced as OpenJFX (openjfx.io) Driven by the community Can run on mobile using Gluon technology (gluonhq.com) Can run on web using JPro technology (jpro.one) Actively developed and is getting new features too Where does Java on Desktop suck ? Lack of 3rd party controls Swing had great support over years, JavaFX lacks behind Missing features… e.g. -
Abstract Data Types
Chapter 2 Abstract Data Types The second idea at the core of computer science, along with algorithms, is data. In a modern computer, data consists fundamentally of binary bits, but meaningful data is organized into primitive data types such as integer, real, and boolean and into more complex data structures such as arrays and binary trees. These data types and data structures always come along with associated operations that can be done on the data. For example, the 32-bit int data type is defined both by the fact that a value of type int consists of 32 binary bits but also by the fact that two int values can be added, subtracted, multiplied, compared, and so on. An array is defined both by the fact that it is a sequence of data items of the same basic type, but also by the fact that it is possible to directly access each of the positions in the list based on its numerical index. So the idea of a data type includes a specification of the possible values of that type together with the operations that can be performed on those values. An algorithm is an abstract idea, and a program is an implementation of an algorithm. Similarly, it is useful to be able to work with the abstract idea behind a data type or data structure, without getting bogged down in the implementation details. The abstraction in this case is called an \abstract data type." An abstract data type specifies the values of the type, but not how those values are represented as collections of bits, and it specifies operations on those values in terms of their inputs, outputs, and effects rather than as particular algorithms or program code. -
Scala Tutorial
Scala Tutorial SCALA TUTORIAL Simply Easy Learning by tutorialspoint.com tutorialspoint.com i ABOUT THE TUTORIAL Scala Tutorial Scala is a modern multi-paradigm programming language designed to express common programming patterns in a concise, elegant, and type-safe way. Scala has been created by Martin Odersky and he released the first version in 2003. Scala smoothly integrates features of object-oriented and functional languages. This tutorial gives a great understanding on Scala. Audience This tutorial has been prepared for the beginners to help them understand programming Language Scala in simple and easy steps. After completing this tutorial, you will find yourself at a moderate level of expertise in using Scala from where you can take yourself to next levels. Prerequisites Scala Programming is based on Java, so if you are aware of Java syntax, then it's pretty easy to learn Scala. Further if you do not have expertise in Java but you know any other programming language like C, C++ or Python, then it will also help in grasping Scala concepts very quickly. Copyright & Disclaimer Notice All the content and graphics on this tutorial are the property of tutorialspoint.com. Any content from tutorialspoint.com or this tutorial may not be redistributed or reproduced in any way, shape, or form without the written permission of tutorialspoint.com. Failure to do so is a violation of copyright laws. This tutorial may contain inaccuracies or errors and tutorialspoint provides no guarantee regarding the accuracy of the site or its contents including this tutorial. If you discover that the tutorialspoint.com site or this tutorial content contains some errors, please contact us at [email protected] TUTORIALS POINT Simply Easy Learning Table of Content Scala Tutorial .......................................................................... -
Common Lisp Object System Specification 3. Metaobject Protocol
Common Lisp Object System Specification 3. Metaobject Protocol This document was written by Daniel G. Bobrow, Linda G. DeMichiel, Richard P. Gabriel, Sonya E. Keene, Gregor Kiczales, and David A. Moon. Contributors to this document include Patrick Dussud, Kenneth Kahn, Jim Kempf, Larry Masinter, Mark Stefik, Daniel L. Weinreb, and Jon L White. CONTENTS CONTENTS ................................................... ............ 3–2 Status of Document ................................................... ........... 3–5 Terminology ................................................... ................ 3–6 Introduction ................................................... ................ 3–7 Class Organization in the CLOS Kernel ............................................... 3–9 The Classes in the CLOS Kernel ................................................... 3–10 standard-class ................................................... ............ 3–11 forward-referenced-class ................................................... ..... 3–11 built-in-class ................................................... ............. 3–11 structure-class ................................................... ............ 3–12 funcallable-standard-class ................................................... .... 3–12 standard-slot-description ................................................... .... 3–12 standard-class-slot-description ................................................... 3–12 standard-method ................................................... .......... 3–12 -
Data Structures, Buffers, and Interprocess Communication
Data Structures, Buffers, and Interprocess Communication We’ve looked at several examples of interprocess communication involving the transfer of data from one process to another process. We know of three mechanisms that can be used for this transfer: - Files - Shared Memory - Message Passing The act of transferring data involves one process writing or sending a buffer, and another reading or receiving a buffer. Most of you seem to be getting the basic idea of sending and receiving data for IPC… it’s a lot like reading and writing to a file or stdin and stdout. What seems to be a little confusing though is HOW that data gets copied to a buffer for transmission, and HOW data gets copied out of a buffer after transmission. First… let’s look at a piece of data. typedef struct { char ticker[TICKER_SIZE]; double price; } item; . item next; . The data we want to focus on is “next”. “next” is an object of type “item”. “next” occupies memory in the process. What we’d like to do is send “next” from processA to processB via some kind of IPC. IPC Using File Streams If we were going to use good old C++ filestreams as the IPC mechanism, our code would look something like this to write the file: // processA is the sender… ofstream out; out.open(“myipcfile”); item next; strcpy(next.ticker,”ABC”); next.price = 55; out << next.ticker << “ “ << next.price << endl; out.close(); Notice that we didn’t do this: out << next << endl; Why? Because the “<<” operator doesn’t know what to do with an object of type “item”. -
SQL Processing with SAS® Tip Sheet
SQL Processing with SAS® Tip Sheet This tip sheet is associated with the SAS® Certified Professional Prep Guide Advanced Programming Using SAS® 9.4. For more information, visit www.sas.com/certify Basic Queries ModifyingBasic Queries Columns PROC SQL <options>; SELECT col-name SELECT column-1 <, ...column-n> LABEL= LABEL=’column label’ FROM input-table <WHERE expression> SELECT col-name <GROUP BY col-name> FORMAT= FORMAT=format. <HAVING expression> <ORDER BY col-name> <DESC> <,...col-name>; Creating a SELECT col-name AS SQL Query Order of Execution: new column new-col-name Filtering Clause Description WHERE CALCULATED new columns new-col-name SELECT Retrieve data from a table FROM Choose and join tables Modifying Rows WHERE Filter the data GROUP BY Aggregate the data INSERT INTO table SET column-name=value HAVING Filter the aggregate data <, ...column-name=value>; ORDER BY Sort the final data Inserting rows INSERT INTO table <(column-list)> into tables VALUES (value<,...value>); INSERT INTO table <(column-list)> Managing Tables SELECT column-1<,...column-n> FROM input-table; CREATE TABLE table-name Eliminating SELECT DISTINCT CREATE TABLE (column-specification-1<, duplicate rows col-name<,...col-name> ...column-specification-n>); WHERE col-name IN DESCRIBE TABLE table-name-1 DESCRIBE TABLE (value1, value2, ...) <,...table-name-n>; WHERE col-name LIKE “_string%” DROP TABLE table-name-1 DROP TABLE WHERE col-name BETWEEN <,...table-name-n>; Filtering value AND value rows WHERE col-name IS NULL WHERE date-value Managing Views “<01JAN2019>”d WHERE time-value “<14:45:35>”t CREATE VIEW CREATE VIEW table-name AS query; WHERE datetime-value “<01JAN201914:45:35>”dt DESCRIBE VIEW view-name-1 DESCRIBE VIEW <,...view-name-n>; Remerging Summary Statistics DROP VIEW DROP VIEW view-name-1 <,...view-name-n>; SELECT col-name, summary function(argument) FROM input table; Copyright © 2019 SAS Institute Inc. -
Subtyping Recursive Types
ACM Transactions on Programming Languages and Systems, 15(4), pp. 575-631, 1993. Subtyping Recursive Types Roberto M. Amadio1 Luca Cardelli CNRS-CRIN, Nancy DEC, Systems Research Center Abstract We investigate the interactions of subtyping and recursive types, in a simply typed λ-calculus. The two fundamental questions here are whether two (recursive) types are in the subtype relation, and whether a term has a type. To address the first question, we relate various definitions of type equivalence and subtyping that are induced by a model, an ordering on infinite trees, an algorithm, and a set of type rules. We show soundness and completeness between the rules, the algorithm, and the tree semantics. We also prove soundness and a restricted form of completeness for the model. To address the second question, we show that to every pair of types in the subtype relation we can associate a term whose denotation is the uniquely determined coercion map between the two types. Moreover, we derive an algorithm that, when given a term with implicit coercions, can infer its least type whenever possible. 1This author's work has been supported in part by Digital Equipment Corporation and in part by the Stanford-CNR Collaboration Project. Page 1 Contents 1. Introduction 1.1 Types 1.2 Subtypes 1.3 Equality of Recursive Types 1.4 Subtyping of Recursive Types 1.5 Algorithm outline 1.6 Formal development 2. A Simply Typed λ-calculus with Recursive Types 2.1 Types 2.2 Terms 2.3 Equations 3. Tree Ordering 3.1 Subtyping Non-recursive Types 3.2 Folding and Unfolding 3.3 Tree Expansion 3.4 Finite Approximations 4.