NET Overview Objectives
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A Compiler-Level Intermediate Representation Based Binary Analysis and Rewriting System
A Compiler-level Intermediate Representation based Binary Analysis and Rewriting System Kapil Anand Matthew Smithson Khaled Elwazeer Aparna Kotha Jim Gruen Nathan Giles Rajeev Barua University of Maryland, College Park {kapil,msmithso,wazeer,akotha,jgruen,barua}@umd.edu Abstract 1. Introduction This paper presents component techniques essential for con- In recent years, there has been a tremendous amount of ac- verting executables to a high-level intermediate representa- tivity in executable-level research targeting varied applica- tion (IR) of an existing compiler. The compiler IR is then tions such as security vulnerability analysis [13, 37], test- employed for three distinct applications: binary rewriting us- ing [17], and binary optimizations [30, 35]. In spite of a sig- ing the compiler’s binary back-end, vulnerability detection nificant overlap in the overall goals of various source-code using source-level symbolic execution, and source-code re- methods and executable-level techniques, several analyses covery using the compiler’s C backend. Our techniques en- and sophisticated transformations that are well-understood able complex high-level transformations not possible in ex- and implemented in source-level infrastructures have yet to isting binary systems, address a major challenge of input- become available in executable frameworks. Many of the derived memory addresses in symbolic execution and are the executable-level tools suggest new techniques for perform- first to enable recovery of a fully functional source-code. ing elementary source-level tasks. For example, PLTO [35] We present techniques to segment the flat address space in proposes a custom alias analysis technique to implement a an executable containing undifferentiated blocks of memory. -
Ironpython in Action
IronPytho IN ACTION Michael J. Foord Christian Muirhead FOREWORD BY JIM HUGUNIN MANNING IronPython in Action Download at Boykma.Com Licensed to Deborah Christiansen <[email protected]> Download at Boykma.Com Licensed to Deborah Christiansen <[email protected]> IronPython in Action MICHAEL J. FOORD CHRISTIAN MUIRHEAD MANNING Greenwich (74° w. long.) Download at Boykma.Com Licensed to Deborah Christiansen <[email protected]> For online information and ordering of this and other Manning books, please visit www.manning.com. The publisher offers discounts on this book when ordered in quantity. For more information, please contact Special Sales Department Manning Publications Co. Sound View Court 3B fax: (609) 877-8256 Greenwich, CT 06830 email: [email protected] ©2009 by Manning Publications Co. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by means electronic, mechanical, photocopying, or otherwise, without prior written permission of the publisher. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in the book, and Manning Publications was aware of a trademark claim, the designations have been printed in initial caps or all caps. Recognizing the importance of preserving what has been written, it is Manning’s policy to have the books we publish printed on acid-free paper, and we exert our best efforts to that end. Recognizing also our responsibility to conserve the resources of our planet, Manning books are printed on paper that is at least 15% recycled and processed without the use of elemental chlorine. -
An Execution Model for Serverless Functions at the Edge
An Execution Model for Serverless Functions at the Edge Adam Hall Umakishore Ramachandran Georgia Institute of Technology Georgia Institute of Technology Atlanta, Georgia Atlanta, Georgia ach@gatech:edu rama@gatech:edu ABSTRACT 1 INTRODUCTION Serverless computing platforms allow developers to host single- Enabling next generation technologies such as self-driving cars or purpose applications that automatically scale with demand. In con- smart cities via edge computing requires us to reconsider the way trast to traditional long-running applications on dedicated, virtu- we characterize and deploy the services supporting those technolo- alized, or container-based platforms, serverless applications are gies. Edge/fog environments consist of many micro data centers intended to be instantiated when called, execute a single function, spread throughout the edge of the network. This is in stark contrast and shut down when finished. State-of-the-art serverless platforms to the cloud, where we assume the notion of unlimited resources achieve these goals by creating a new container instance to host available in a few centralized data centers. These micro data center a function when it is called and destroying the container when it environments must support large numbers of Internet of Things completes. This design allows for cost and resource savings when (IoT) devices on limited hardware resources, processing the mas- hosting simple applications, such as those supporting IoT devices sive amounts of data those devices generate while providing quick at the edge of the network. However, the use of containers intro- decisions to inform their actions [44]. One solution to supporting duces some overhead which may be unsuitable for applications emerging technologies at the edge lies in serverless computing. -
Middleware in Action 2007
Technology Assessment from Ken North Computing, LLC Middleware in Action Industrial Strength Data Access May 2007 Middleware in Action: Industrial Strength Data Access Table of Contents 1.0 Introduction ............................................................................................................. 2 Mature Technology .........................................................................................................3 Scalability, Interoperability, High Availability ...................................................................5 Components, XML and Services-Oriented Architecture..................................................6 Best-of-Breed Middleware...............................................................................................7 Pay Now or Pay Later .....................................................................................................7 2.0 Architectures for Distributed Computing.................................................................. 8 2.1 Leveraging Infrastructure ........................................................................................ 8 2.2 Multi-Tier, N-Tier Architecture ................................................................................. 9 2.3 Persistence, Client-Server Databases, Distributed Data ....................................... 10 Client-Server SQL Processing ......................................................................................10 Client Libraries .............................................................................................................. -
Design and Implementation of Generics for the .NET Common Language Runtime
Design and Implementation of Generics for the .NET Common Language Runtime Andrew Kennedy Don Syme Microsoft Research, Cambridge, U.K. fakeÒÒ¸d×ÝÑeg@ÑicÖÓ×ÓfغcÓÑ Abstract cally through an interface definition language, or IDL) that is nec- essary for language interoperation. The Microsoft .NET Common Language Runtime provides a This paper describes the design and implementation of support shared type system, intermediate language and dynamic execution for parametric polymorphism in the CLR. In its initial release, the environment for the implementation and inter-operation of multiple CLR has no support for polymorphism, an omission shared by the source languages. In this paper we extend it with direct support for JVM. Of course, it is always possible to “compile away” polymor- parametric polymorphism (also known as generics), describing the phism by translation, as has been demonstrated in a number of ex- design through examples written in an extended version of the C# tensions to Java [14, 4, 6, 13, 2, 16] that require no change to the programming language, and explaining aspects of implementation JVM, and in compilers for polymorphic languages that target the by reference to a prototype extension to the runtime. JVM or CLR (MLj [3], Haskell, Eiffel, Mercury). However, such Our design is very expressive, supporting parameterized types, systems inevitably suffer drawbacks of some kind, whether through polymorphic static, instance and virtual methods, “F-bounded” source language restrictions (disallowing primitive type instanti- type parameters, instantiation at pointer and value types, polymor- ations to enable a simple erasure-based translation, as in GJ and phic recursion, and exact run-time types. -
Toward IFVM Virtual Machine: a Model Driven IFML Interpretation
Toward IFVM Virtual Machine: A Model Driven IFML Interpretation Sara Gotti and Samir Mbarki MISC Laboratory, Faculty of Sciences, Ibn Tofail University, BP 133, Kenitra, Morocco Keywords: Interaction Flow Modelling Language IFML, Model Execution, Unified Modeling Language (UML), IFML Execution, Model Driven Architecture MDA, Bytecode, Virtual Machine, Model Interpretation, Model Compilation, Platform Independent Model PIM, User Interfaces, Front End. Abstract: UML is the first international modeling language standardized since 1997. It aims at providing a standard way to visualize the design of a system, but it can't model the complex design of user interfaces and interactions. However, according to MDA approach, it is necessary to apply the concept of abstract models to user interfaces too. IFML is the OMG adopted (in March 2013) standard Interaction Flow Modeling Language designed for abstractly expressing the content, user interaction and control behaviour of the software applications front-end. IFML is a platform independent language, it has been designed with an executable semantic and it can be mapped easily into executable applications for various platforms and devices. In this article we present an approach to execute the IFML. We introduce a IFVM virtual machine which translate the IFML models into bytecode that will be interpreted by the java virtual machine. 1 INTRODUCTION a fundamental standard fUML (OMG, 2011), which is a subset of UML that contains the most relevant The software development has been affected by the part of class diagrams for modeling the data apparition of the MDA (OMG, 2015) approach. The structure and activity diagrams to specify system trend of the 21st century (BRAMBILLA et al., behavior; it contains all UML elements that are 2014) which has allowed developers to build their helpful for the execution of the models. -
A Brief History of Just-In-Time Compilation
A Brief History of Just-In-Time JOHN AYCOCK University of Calgary Software systems have been using “just-in-time” compilation (JIT) techniques since the 1960s. Broadly, JIT compilation includes any translation performed dynamically, after a program has started execution. We examine the motivation behind JIT compilation and constraints imposed on JIT compilation systems, and present a classification scheme for such systems. This classification emerges as we survey forty years of JIT work, from 1960–2000. Categories and Subject Descriptors: D.3.4 [Programming Languages]: Processors; K.2 [History of Computing]: Software General Terms: Languages, Performance Additional Key Words and Phrases: Just-in-time compilation, dynamic compilation 1. INTRODUCTION into a form that is executable on a target platform. Those who cannot remember the past are con- What is translated? The scope and na- demned to repeat it. ture of programming languages that re- George Santayana, 1863–1952 [Bartlett 1992] quire translation into executable form covers a wide spectrum. Traditional pro- This oft-quoted line is all too applicable gramming languages like Ada, C, and in computer science. Ideas are generated, Java are included, as well as little lan- explored, set aside—only to be reinvented guages [Bentley 1988] such as regular years later. Such is the case with what expressions. is now called “just-in-time” (JIT) or dy- Traditionally, there are two approaches namic compilation, which refers to trans- to translation: compilation and interpreta- lation that occurs after a program begins tion. Compilation translates one language execution. into another—C to assembly language, for Strictly speaking, JIT compilation sys- example—with the implication that the tems (“JIT systems” for short) are com- translated form will be more amenable pletely unnecessary. -
A Parallel Program Execution Model Supporting Modular Software Construction
A Parallel Program Execution Model Supporting Modular Software Construction Jack B. Dennis Laboratory for Computer Science Massachusetts Institute of Technology Cambridge, MA 02139 U.S.A. [email protected] Abstract as a guide for computer system design—follows from basic requirements for supporting modular software construction. A watershed is near in the architecture of computer sys- The fundamental theme of this paper is: tems. There is overwhelming demand for systems that sup- port a universal format for computer programs and software The architecture of computer systems should components so users may benefit from their use on a wide reflect the requirements of the structure of pro- variety of computing platforms. At present this demand is grams. The programming interface provided being met by commodity microprocessors together with stan- should address software engineering issues, in dard operating system interfaces. However, current systems particular, the ability to practice the modular do not offer a standard API (application program interface) construction of software. for parallel programming, and the popular interfaces for parallel computing violate essential principles of modular The positions taken in this presentation are contrary to or component-based software construction. Moreover, mi- much conventional wisdom, so I have included a ques- croprocessor architecture is reaching the limit of what can tion/answer dialog at appropriate places to highlight points be done usefully within the framework of superscalar and of debate. We start with a discussion of the nature and VLIW processor models. The next step is to put several purpose of a program execution model. Our Parallelism processors (or the equivalent) on a single chip. -
CNT6008 Network Programming Module - 11 Objectives
CNT6008 Network Programming Module - 11 Objectives Skills/Concepts/Assignments Objectives ASP.NET Overview • Learn the Framework • Understand the different platforms • Compare to Java Platform Final Project Define your final project requirements Section 21 – Web App Read Sections 21 and 27, pages 649 to 694 and 854 Development and ASP.NET to 878. Section 27 – Web App Development with ASP.NET Overview of ASP.NET Section Goals Goal Course Presentation Understanding Windows Understanding .NET Framework Foundation Project Concepts Creating a ASP.NET Client and Server Application Understanding the Visual Creating a ASP Project Studio Development Environment .NET – What Is It? • Software platform • Language neutral • In other words: • .NET is not a language (Runtime and a library for writing and executing written programs in any compliant language) What Is .NET • .Net is a new framework for developing web-based and windows-based applications within the Microsoft environment. • The framework offers a fundamental shift in Microsoft strategy: it moves application development from client-centric to server- centric. .NET – What Is It? .NET Application .NET Framework Operating System + Hardware Framework, Languages, And Tools VB VC++ VC# JScript … Common Language Specification Visual Studio.NET Visual ASP.NET: Web Services Windows and Web Forms Forms ADO.NET: Data and XML Base Class Library Common Language Runtime The .NET Framework .NET Framework Services • Common Language Runtime • Windows Communication Framework (WCF) • Windows® Forms • ASP.NET (Active Server Pages) • Web Forms • Web Services • ADO.NET, evolution of ADO • Visual Studio.NET Common Language Runtime (CLR) • CLR works like a virtual machine in executing all languages. • All .NET languages must obey the rules and standards imposed by CLR. -
Portable Microsoft Visual Foxpro 9 SP2 Serial Key Keygen
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Coqjvm: an Executable Specification of the Java Virtual Machine Using
CoqJVM: An Executable Specification of the Java Virtual Machine using Dependent Types Robert Atkey LFCS, School of Informatics, University of Edinburgh Mayfield Rd, Edinburgh EH9 3JZ, UK [email protected] Abstract. We describe an executable specification of the Java Virtual Machine (JVM) within the Coq proof assistant. The principal features of the development are that it is executable, meaning that it can be tested against a real JVM to gain confidence in the correctness of the specification; and that it has been written with heavy use of dependent types, this is both to structure the model in a useful way, and to constrain the model to prevent spurious partiality. We describe the structure of the formalisation and the way in which we have used dependent types. 1 Introduction Large scale formalisations of programming languages and systems in mechanised theorem provers have recently become popular [4–6, 9]. In this paper, we describe a formalisation of the Java virtual machine (JVM) [8] in the Coq proof assistant [11]. The principal features of this formalisation are that it is executable, meaning that a purely functional JVM can be extracted from the Coq development and – with some O’Caml glue code – executed on real Java bytecode output from the Java compiler; and that it is structured using dependent types. The motivation for this development is to act as a basis for certified consumer- side Proof-Carrying Code (PCC) [12]. We aim to prove the soundness of program logics and correctness of proof checkers against the model, and extract the proof checkers to produce certified stand-alone tools. -
Python Guide Documentation 0.0.1
Python Guide Documentation 0.0.1 Kenneth Reitz 2015 11 07 Contents 1 3 1.1......................................................3 1.2 Python..................................................5 1.3 Mac OS XPython.............................................5 1.4 WindowsPython.............................................6 1.5 LinuxPython...............................................8 2 9 2.1......................................................9 2.2...................................................... 15 2.3...................................................... 24 2.4...................................................... 25 2.5...................................................... 27 2.6 Logging.................................................. 31 2.7...................................................... 34 2.8...................................................... 37 3 / 39 3.1...................................................... 39 3.2 Web................................................... 40 3.3 HTML.................................................. 47 3.4...................................................... 48 3.5 GUI.................................................... 49 3.6...................................................... 51 3.7...................................................... 52 3.8...................................................... 53 3.9...................................................... 58 3.10...................................................... 59 3.11...................................................... 62