Active Object
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
One-Slide Summary Lecture Outline
Using Design Patterns #1 One-Slide Summary • Design patterns are solutions to recurring OOP design problems. There are patterns for constructing objects, structuring data, and object behavior . • Since this is PL, we’ll examine how language features like (multiple) inheritance and dynamic dispatch relate to design patterns. #2 Lecture Outline • Design Patterns • Iterator • Observer • Singleton • Mediator #3 1 What is a design pattern? • A solution for a recurring problem in a large object-oriented programming system – Based on Erich Gamma’s Ph.D. thesis, as presented in the “gang of four” book • “Each pattern describes a problem which occurs over and over again in our environment, and then describes the core of the solution to that problem, in such a way that you can use this solution a million times over, without ever doing it the same way twice” – Charles Alexander #4 Types of design patterns • Design patterns can be (roughly) grouped into three categories: • Creational patterns – Constructing objects • Structural patterns – Controlling the structure of a class, e.g. affecting the API or the data structure layout • Behavioral patterns – Deal with how the object behaves #5 Iterator design pattern • Often you may have to move through a collection – Tree (splay, AVL, binary, red-black, etc.), linked list, array, hash table, dictionary, etc. • Easy for arrays and vectors • But hard for more complicated data structures – Hash table, dictionary, etc. • The code doing the iteration should not have to know the details of the data structure -
Active Object Systems Redacted for Privacy Abstract Approved
AN ABSTRACT OF THE THESIS OF Sungwoon Choi for the degree of Doctor of Philosophyin Computer Science presented on February 6, 1992. Title: Active Object Systems Redacted for Privacy Abstract approved. v '" Toshimi Minoura An active object system isa transition-based object-oriented system suitable for the design of various concurrentsystems. An AOS consists of a collection of interacting objects, where the behavior of eachobject is determined by the transition statements provided in the class of that object.A transition statement is a condition-action pair, an equational assignmentstatement, or an event routine. The transition statements provided for eachobject can access, besides the state of that object, the states of the other objectsknown to it through its interface variables. Interface variablesare bound to objects when objects are instantiated so that desired connections among objects are established. The major benefit of the AOS approach is thatan active system can be hierarchically composed from its active software componentsas if it were a hardware system. An AOS provides better encapsulation andmore flexible communication protocols than ordinary object oriented systems, since control withinan AOS is localized. ©Copyright by Sungwoon Choi February 6, 1992 All Rights Reserved Active Object Systems by Sungwoon Choi A THESIS submitted to Oregon State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy Completed February 6, 1992 Commencement June 1992 APPROVED: Redacted for Privacy Professor of Computer Science in charge ofmajor Redacted for Privacy Head of Department of Computer Science Redacted for Privacy Dean of Gradu to School Or Date thesis presented February 6, 1992 Typed by Sungwoon Choi for Sungwoon Choi To my wife Yejung ACKNOWLEDGEMENTS I would like to express my sincere gratitude tomy major professor, Dr. -
Object-Oriented Analysis, Design and Implementation
Undergraduate Topics in Computer Science Brahma Dathan Sarnath Ramnath Object-Oriented Analysis, Design and Implementation An Integrated Approach Second Edition Undergraduate Topics in Computer Science Undergraduate Topics in Computer Science (UTiCS) delivers high-quality instruc- tional content for undergraduates studying in all areas of computing and information science. From core foundational and theoretical material to final-year topics and applications, UTiCS books take a fresh, concise, and modern approach and are ideal for self-study or for a one- or two-semester course. The texts are all authored by established experts in their fields, reviewed by an international advisory board, and contain numerous examples and problems. Many include fully worked solutions. More information about this series at http://www.springer.com/series/7592 Brahma Dathan • Sarnath Ramnath Object-Oriented Analysis, Design and Implementation An Integrated Approach Second Edition 123 Brahma Dathan Sarnath Ramnath Department of Information and Computer Department of Computer Science Science and Information Technology Metropolitan State University St. Cloud State University St. Paul, MN St. Cloud, MN USA USA Series editor Ian Mackie Advisory Board Samson Abramsky, University of Oxford, Oxford, UK Karin Breitman, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil Chris Hankin, Imperial College London, London, UK Dexter Kozen, Cornell University, Ithaca, USA Andrew Pitts, University of Cambridge, Cambridge, UK Hanne Riis Nielson, Technical University of Denmark, Kongens Lyngby, Denmark Steven Skiena, Stony Brook University, Stony Brook, USA Iain Stewart, University of Durham, Durham, UK A co-publication with the Universities Press (India) Private Ltd., licensed for sale in all countries outside of India, Pakistan, Bhutan, Bangladesh, Sri Lanka, Nepal, The Maldives, Middle East, Malaysia, Indonesia and Singapore. -
Thread Management for High Performance Database Systems - Design and Implementation
Nr.: FIN-003-2018 Thread Management for High Performance Database Systems - Design and Implementation Robert Jendersie, Johannes Wuensche, Johann Wagner, Marten Wallewein-Eising, Marcus Pinnecke, Gunter Saake Arbeitsgruppe Database and Software Engineering Fakultät für Informatik Otto-von-Guericke-Universität Magdeburg Nr.: FIN-003-2018 Thread Management for High Performance Database Systems - Design and Implementation Robert Jendersie, Johannes Wuensche, Johann Wagner, Marten Wallewein-Eising, Marcus Pinnecke, Gunter Saake Arbeitsgruppe Database and Software Engineering Technical report (Internet) Elektronische Zeitschriftenreihe der Fakultät für Informatik der Otto-von-Guericke-Universität Magdeburg ISSN 1869-5078 Fakultät für Informatik Otto-von-Guericke-Universität Magdeburg Impressum (§ 5 TMG) Herausgeber: Otto-von-Guericke-Universität Magdeburg Fakultät für Informatik Der Dekan Verantwortlich für diese Ausgabe: Otto-von-Guericke-Universität Magdeburg Fakultät für Informatik Marcus Pinnecke Postfach 4120 39016 Magdeburg E-Mail: [email protected] http://www.cs.uni-magdeburg.de/Technical_reports.html Technical report (Internet) ISSN 1869-5078 Redaktionsschluss: 21.08.2018 Bezug: Otto-von-Guericke-Universität Magdeburg Fakultät für Informatik Dekanat Thread Management for High Performance Database Systems - Design and Implementation Technical Report Robert Jendersie1, Johannes Wuensche2, Johann Wagner1, Marten Wallewein-Eising2, Marcus Pinnecke1, and Gunter Saake1 Database and Software Engineering Group, Otto-von-Guericke University -
Design Patterns Design Patterns
Design Patterns CSC207 – Software Design Design Patterns • Design pattern: – A general description of the solution to a well- established problem using an arrangement of classes and objects. • Patterns describe the shape of code rather than the details. – There are lots of them in CSC 301 and 302. Loop patterns from first year • Loop pattern: – A general description of an algorithm for processing items in a collection. • All of you (hopefully) have some loop patterns in your heads. • You don’t really need to think about these any more; you just use them, and you should be able to discuss them with your fellow students. • Some first-year patterns: – Process List – Counted Loop – Accumulator – Sentinel Process list pattern • Purpose: to process every item in a collection where you don’t care about order or context; you don’t need to remember previous items. • Outline: • Example: • Other example: darken every pixel in a picture Counted loop pattern • Purpose: to process a range of indices in a collection. • Outline: • Example: • Other example: print indices of even-length string Accumulator pattern • Purpose: to accumulate information about items in a collection. • Outline: • Example: • Other examples: sum, min, accumulate a list of items meeting a particular criterion. Sentinel pattern • Purpose: to remove a condition in a loop guard. • Outline: • Example: Sentinel pattern, continued • Here is the code that Sentinal replaces; note that i != list.size() is evaluated every time through the loop, even though it is false only once. Design Pattern -
An Efficient Implementation of Guard-Based Synchronization for an Object-Oriented Programming Language an Efficient Implementation of Guard-Based
AN EFFICIENT IMPLEMENTATION OF GUARD-BASED SYNCHRONIZATION FOR AN OBJECT-ORIENTED PROGRAMMING LANGUAGE AN EFFICIENT IMPLEMENTATION OF GUARD-BASED SYNCHRONIZATION FOR AN OBJECT-ORIENTED PROGRAMMING LANGUAGE By SHUCAI YAO, M.Sc., B.Sc. A Thesis Submitted to the Department of Computing and Software and the School of Graduate Studies of McMaster University in Partial Fulfilment of the Requirements for the Degree of Doctor of Philosophy McMaster University c Copyright by Shucai Yao, July 2020 Doctor of Philosophy (2020) McMaster University (Computing and Software) Hamilton, Ontario, Canada TITLE: An Efficient Implementation of Guard-Based Synchro- nization for an Object-Oriented Programming Language AUTHOR: Shucai Yao M.Sc., (Computer Science) University of Science and Technology Beijing B.Sc., (Computer Science) University of Science and Technology Beijing SUPERVISOR: Dr. Emil Sekerinski, Dr. William M. Farmer NUMBER OF PAGES: xvii,167 ii To my beloved family Abstract Object-oriented programming has had a significant impact on software development because it provides programmers with a clear structure of a large system. It encap- sulates data and operations into objects, groups objects into classes and dynamically binds operations to program code. With the emergence of multi-core processors, application developers have to explore concurrent programming to take full advan- tage of multi-core technology. However, when it comes to concurrent programming, object-oriented programming remains elusive as a useful programming tool. Most object-oriented programming languages do have some extensions for con- currency, but concurrency is implemented independently of objects: for example, concurrency in Java is managed separately with the Thread object. We employ a programming model called Lime that combines action systems tightly with object- oriented programming and implements concurrency by extending classes with actions and guarded methods. -
Concurrency & Parallel Programming Patterns
Concurrency & Parallel programming patterns Evgeny Gavrin Outline 1. Concurrency vs Parallelism 2. Patterns by groups 3. Detailed overview of parallel patterns 4. Summary 5. Proposal for language Concurrency vs Parallelism ● Parallelism is the simultaneous execution of computations “doing lots of things at once” ● Concurrency is the composition of independently execution processes “dealing with lots of thing at once” Patterns by groups Architectural Patterns These patterns define the overall architecture for a program: ● Pipe-and-filter: view the program as filters (pipeline stages) connected by pipes (channels). Data flows through the filters to take input and transform into output. ● Agent and Repository: a collection of autonomous agents update state managed on their behalf in a central repository. ● Process control: the program is structured analogously to a process control pipeline with monitors and actuators moderating feedback loops and a pipeline of processing stages. ● Event based implicit invocation: The program is a collection of agents that post events they watch for and issue events for other agents. The architecture enforces a high level abstraction so invocation of an agent is implicit; i.e. not hardwired to a specific controlling agent. ● Model-view-controller: An architecture with a central model for the state of the program, a controller that manages the state and one or more agents that export views of the model appropriate to different uses of the model. ● Bulk Iterative (AKA bulk synchronous): A program that proceeds iteratively … update state, check against a termination condition, complete coordination, and proceed to the next iteration. ● Map reduce: the program is represented in terms of two classes of functions. -
Model Checking Multithreaded Programs With
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Illinois Digital Environment for Access to Learning and Scholarship Repository Model Checking Multithreaded Programs with Asynchronous Atomic Methods Koushik Sen and Mahesh Viswanathan Department of Computer Science, University of Illinois at Urbana-Champaign. {ksen,vmahesh}@uiuc.edu Abstract. In order to make multithreaded programming manageable, program- mers often follow a design principle where they break the problem into tasks which are then solved asynchronously and concurrently on different threads. This paper investigates the problem of model checking programs that follow this id- iom. We present a programming language SPL that encapsulates this design pat- tern. SPL extends simplified form of sequential Java to which we add the ca- pability of making asynchronous method invocations in addition to the standard synchronous method calls and the ability to execute asynchronous methods in threads atomically and concurrently. Our main result shows that the control state reachability problem for finite SPL programs is decidable. Therefore, such mul- tithreaded programs can be model checked using the counter-example guided abstraction-refinement framework. 1 Introduction Multithreaded programming is often used in software as it leads to reduced latency, improved response times of interactive applications, and more optimal use of process- ing power. Multithreaded programming also allows an application to progress even if one thread is blocked for an I/O operation. However, writing correct programs that use multiple threads is notoriously difficult, especially in the presence of a shared muta- ble memory. Since threads can interleave, there can be unintended interference through concurrent access of shared data and result in software errors due to data race and atom- icity violations. -
Lecture 26: Creational Patterns
Creational Patterns CSCI 4448/5448: Object-Oriented Analysis & Design Lecture 26 — 11/29/2012 © Kenneth M. Anderson, 2012 1 Goals of the Lecture • Cover material from Chapters 20-22 of the Textbook • Lessons from Design Patterns: Factories • Singleton Pattern • Object Pool Pattern • Also discuss • Builder Pattern • Lazy Instantiation © Kenneth M. Anderson, 2012 2 Pattern Classification • The Gang of Four classified patterns in three ways • The behavioral patterns are used to manage variation in behaviors (think Strategy pattern) • The structural patterns are useful to integrate existing code into new object-oriented designs (think Bridge) • The creational patterns are used to create objects • Abstract Factory, Builder, Factory Method, Prototype & Singleton © Kenneth M. Anderson, 2012 3 Factories & Their Role in OO Design • It is important to manage the creation of objects • Code that mixes object creation with the use of objects can become quickly non-cohesive • A system may have to deal with a variety of different contexts • with each context requiring a different set of objects • In design patterns, the context determines which concrete implementations need to be present © Kenneth M. Anderson, 2012 4 Factories & Their Role in OO Design • The code to determine the current context, and thus which objects to instantiate, can become complex • with many different conditional statements • If you mix this type of code with the use of the instantiated objects, your code becomes cluttered • often the use scenarios can happen in a few lines of code • if combined with creational code, the operational code gets buried behind the creational code © Kenneth M. Anderson, 2012 5 Factories provide Cohesion • The use of factories can address these issues • The conditional code can be hidden within them • pass in the parameters associated with the current context • and get back the objects you need for the situation • Then use those objects to get your work done • Factories concern themselves just with creation, letting your code focus on other things © Kenneth M. -
Active Object
Active Object an Object Behavioral Pattern for Concurrent Programming R. Greg Lavender Douglas C. Schmidt [email protected] [email protected] ISODE Consortium Inc. Department of Computer Science Austin, TX Washington University, St. Louis An earlier version of this paper appeared in a chapter in the book ªPattern Languages of Program Design 2º ISBN 0-201-89527-7, edited by John Vlissides, Jim Coplien, and Norm Kerth published by Addison-Wesley, 1996. : Output : Input Handler Handler : Routing Table : Message Abstract Queue This paper describes the Active Object pattern, which decou- 3: enqueue(msg) ples method execution from method invocation in order to : Output 2: find_route(msg) simplify synchronized access to a shared resource by meth- Handler ods invoked in different threads of control. The Active Object : Message : Input pattern allows one or more independent threads of execution Queue Handler 1: recv(msg) to interleave their access to data modeled as a single ob- ject. A broad class of producer/consumer and reader/writer OUTGOING OUTGOING MESSAGES GATEWAY problems are well-suited to this model of concurrency. This MESSAGES pattern is commonly used in distributed systems requiring INCOMING INCOMING multi-threaded servers. In addition,client applications (such MESSAGES MESSAGES as windowing systems and network browsers), are increas- DST DST ingly employing active objects to simplify concurrent, asyn- SRC SRC chronous network operations. 1 Intent Figure 1: Connection-Oriented Gateway The Active Object pattern decouples method execution from method invocation in order to simplify synchronized access to a shared resource by methods invoked in different threads [2]. Sources and destinationscommunicate with the Gateway of control. -
Singleton ● Iterator
CSC207 Week 6 Larry Zhang 1 Logistics ● Midterm: next Friday (October 27), 5:10 PM - 7:00 PM ● 110 minutes ● No aid ● Room: TBA (Note it’s not the lecture room) ● Past tests posted on the course website: http://axiom.utm.utoronto.ca/~207/17f/tests.shtml ● Arnold will send emails with more info. 2 Design Patterns 3 /r/LifeProTips 4 Design Patterns Design patterns are like “LifeProTips” for software design. ● Effective use of the OO Paradigm. ● Using the patterns results in flexible, malleable, maintainable code. ● It usually allows plug and play additions to existing code. ● It gives developers a vocabulary to talk about recurring class organizations. 5 Design Patterns for Today ● Observer ● Singleton ● Iterator 6 The Observer Pattern 7 Goals ● When certain objects need to be informed about the changes occurred in other objects. ● One object changes state, all its dependents are notified and updated automatically. ● Programmer only need to worry about how the observer changes if the observables changes, and connecting the observers and observables. ● Real-life example: setting up Pre-Authorized Bill Payment 8 General Implementation 9 Java Implementation 10 DEMO #1 Implement Our Own Observer/Observable observer/Observable.java observer/Observer.java 11 DEMO #2 Use Our Observer/Observable observer/LightBulb.java observer/LightBulbObserver.java observer/LightBulbObservable.java observer/LightBulbMain.java 12 Advanced Issues in Observer Pattern Push and Pull communication methods ● Push model: the Observable send all information about the change -
An Enhanced Thread Synchronization Mechanism for Java
SOFTWARE—PRACTICE AND EXPERIENCE Softw. Pract. Exper. 2001; 31:667–695 (DOI: 10.1002/spe.383) An enhanced thread synchronization mechanism for Java Hsin-Ta Chiao and Shyan-Ming Yuan∗,† Department of Computer and Information Science, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu 300, Taiwan SUMMARY The thread synchronization mechanism of Java is derived from Hoare’s monitor concept. In the authors’ view, however, it is over simplified and suffers the following four drawbacks. First, it belongs to a category of no-priority monitor, the design of which, as reported in the literature on concurrent programming, is not well rated. Second, it offers only one condition queue. Where more than one long-term synchronization event is required, this restriction both degrades performance and further complicates the ordering problems that a no-priority monitor presents. Third, it lacks the support for building more elaborate scheduling programs. Fourth, during nested monitor invocations, deadlock may occur. In this paper, we first analyze these drawbacks in depth before proceeding to present our own proposal, which is a new monitor-based thread synchronization mechanism that we term EMonitor. This mechanism is implemented solely by Java, thus avoiding the need for any modification to the underlying Java Virtual Machine. A preprocessor is employed to translate the EMonitor syntax into the pure Java codes that invoke the EMonitor class libraries. We conclude with a comparison of the performance of the two monitors and allow the experimental results to demonstrate that, in most cases, replacing the Java version with the EMonitor version for developing concurrent Java objects is perfectly feasible.