A Dynamic Aspect-Oriented System for Data-Driven Profiling of OS Kernels
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A Brief Introduction to Aspect-Oriented Programming
R R R A Brief Introduction to Aspect-Oriented Programming" R R Historical View Of Languages" R •# Procedural language" •# Functional language" •# Object-Oriented language" 1 R R Acknowledgements" R •# Zhenxiao Yang" •# Gregor Kiczales" •# Eclipse website for AspectJ (www.eclipse.org/aspectj) " R R Procedural Language" R •# Also termed imperative language" •# Describe" –#An explicit sequence of steps to follow to produce a result" •# Examples: Basic, Pascal, C, Fortran" 2 R R Functional Language" R •# Describe everything as a function (e.g., data, operations)" •# (+ 3 4); (add (prod 4 5) 3)" •# Examples" –# LISP, Scheme, ML, Haskell" R R Logical Language" R •# Also termed declarative language" •# Establish causal relationships between terms" –#Conclusion :- Conditions" –#Read as: If Conditions then Conclusion" •# Examples: Prolog, Parlog" 3 R R Object-Oriented Programming" R •# Describe " –#A set of user-defined objects " –#And communications among them to produce a (user-defined) result" •# Basic features" –#Encapsulation" –#Inheritance" –#Polymorphism " R R OOP (cont$d)" R •# Example languages" –#First OOP language: SIMULA-67 (1970)" –#Smalltalk, C++, Java" –#Many other:" •# Ada, Object Pascal, Objective C, DRAGOON, BETA, Emerald, POOL, Eiffel, Self, Oblog, ESP, POLKA, Loops, Perl, VB" •# Are OOP languages procedural? " 4 R R We Need More" R •# Major advantage of OOP" –# Modular structure" •# Potential problems with OOP" –# Issues distributed in different modules result in tangled code." –# Example: error logging, failure handling, performance -
Towards an Expressive and Scalable Framework for Expressing Join Point Models
Towards an Expressive and Scalable Framework for expressing Join Point Models Pascal Durr, Lodewijk Bergmans, Gurcan Gulesir, Istvan Nagy University of Twente {durr,bergmans,ggulesir,nagyist}@ewi.utwente.nl ABSTRACT a more fine-grained join point model is required. Moreover, Join point models are one of the key features in aspect- these models are mostly rooted in control flow and call graph oriented programming languages and tools. They provide information, but sometimes a pointcut expression based on software engineers means to pinpoint the exact locations in data flow or data dependence is more suitable. programs (join points) to weave in advices. Our experi- ence in modularizing concerns in a large embedded system This paper proposes an expressive and scalable fine-grained showed that existing join point models and their underlying framework to define join point models that incorporate both program representations are not expressive enough. This data and control flow analysis. One can subsequently specify prevents the selection of some join points of our interest. In a pointcut language which implements (part of) this join this paper, we motivate the need for more fine-grained join point model. Allowing different implementation strategies point models within more expressive source code represen- and language independence is the strength of this model. tations. We propose a new program representation called a program graph, over which more fine-grained join point The paper is structured as follows: First, we will motivate models can be defined. In addition, we present a simple lan- this research with two example concerns we encountered in guage to manipulate program graphs to perform source code our IDEALS[6] project with ASML[2]. -
Flowr: Aspect Oriented Programming for Information Flow Control in Ruby
FlowR: Aspect Oriented Programming for Information Flow Control in Ruby Thomas F. J.-M. Pasquier Jean Bacon Brian Shand University of Cambridge Public Health England fthomas.pasquier, [email protected] [email protected] Abstract Track, a taint-tracking system for Ruby, developed by the SafeWeb This paper reports on our experience with providing Information project [17]. Flow Control (IFC) as a library. Our aim was to support the use However, we came to realise certain limitations of the mech- of an unmodified Platform as a Service (PaaS) cloud infrastructure anisms we had deployed. For example, to enforce the required by IFC-aware web applications. We discuss how Aspect Oriented IFC policy, we manually inserted IFC checks at selected applica- Programming (AOP) overcomes the limitations of RubyTrack, our tion component boundaries. In practice, objects and classes are the first approach. Although use of AOP has been mentioned as a natural representation of application components within an object possibility in past IFC literature we believe this paper to be the oriented language and it seems natural to relate security concerns first illustration of how such an implementation can be attempted. with those objects. We should therefore associate the primitives and We discuss how we built FlowR (Information Flow Control for mechanisms to enforce IFC with selected objects. Furthermore, we Ruby), a library extending Ruby to provide IFC primitives using wish to be able to assign boundary checks on any class or object AOP via the Aquarium open source library. Previous attempts at without further development overhead. We also wish to be able providing IFC as a language extension required either modification to exploit the inheritance property to define rules that apply to of an interpreter or significant code rewriting. -
On Intelligent Mitigation of Process Starvation in Multilevel Feedback Queue Scheduling Joseph E
Kennesaw State University DigitalCommons@Kennesaw State University Master of Science in Computer Science Theses Department of Computer Science Spring 4-20-2017 On Intelligent Mitigation of Process Starvation In Multilevel Feedback Queue Scheduling Joseph E. Brown Kennesaw State University Follow this and additional works at: http://digitalcommons.kennesaw.edu/cs_etd Part of the Computational Engineering Commons Recommended Citation Brown, Joseph E., "On Intelligent Mitigation of Process Starvation In Multilevel Feedback Queue Scheduling" (2017). Master of Science in Computer Science Theses. 8. http://digitalcommons.kennesaw.edu/cs_etd/8 This Thesis is brought to you for free and open access by the Department of Computer Science at DigitalCommons@Kennesaw State University. It has been accepted for inclusion in Master of Science in Computer Science Theses by an authorized administrator of DigitalCommons@Kennesaw State University. For more information, please contact [email protected]. On Intelligent Mitigation of Process Starvation In Multilevel Feedback Queue Scheduling Master of Science in Computer Science Thesis By Joseph E Brown MSCS Student Department of Computer Science College of Computing and Software Engineering Kennesaw State University, USA Submitted in partial fulfillment of the Requirements for the degree of Master of Science in Computer Science November 2016 On Intelligent Mitigation of Process Starvation In Multilevel Feedback Queue Scheduling This thesis approved for recommendation to the Graduate Council. 2 Kennesaw State University College of Computing and Software Engineering Thesis Title: On Intelligent Mitigation of Process Starvation In Multilevel Feedback Queue Schedul- ing . Author: Joseph E Brown. Department: Computer Science. Approved for Thesis Requirements of the Master of Science Degree Thesis Advisor: Ken Hoganson Date Thesis Reader: Dr. -
Some Results Recall: FAT Properties FAT Assessment – Issues
Recall: A Little Queuing Theory: Some Results • Assumptions: CS162 – System in equilibrium; No limit to the queue Operating Systems and – Time between successive arrivals is random and memoryless Systems Programming Queue Server Lecture 19 Arrival Rate Service Rate μ=1/Tser File Systems (Con’t), • Parameters that describe our system: MMAP, Buffer Cache – : mean number of arriving customers/second –Tser: mean time to service a customer (“m1”) –C: squared coefficient of variance = 2/m12 –μ: service rate = 1/Tser th April 11 , 2019 –u: server utilization (0u1): u = /μ = Tser • Parameters we wish to compute: Prof. Ion Stoica –Tq: Time spent in queue http://cs162.eecs.Berkeley.edu –Lq: Length of queue = Tq (by Little’s law) • Results: –Memoryless service distribution (C = 1): » Called M/M/1 queue: Tq = Tser x u/(1 – u) –General service distribution (no restrictions), 1 server: » Called M/G/1 queue: Tq = Tser x ½(1+C) x u/(1 – u)) 4/11/19 Kubiatowicz CS162 © UCB Spring 2019 Lec 19.2 Recall: FAT Properties FAT Assessment – Issues • File is collection of disk blocks • Time to find block (large files) ?? (Microsoft calls them “clusters”) FAT Disk Blocks FAT Disk Blocks • FAT is array of integers mapped • Block layout for file ??? 1-1 with disk blocks 0: 0: 0: 0: File #1 File #1 – Each integer is either: • Sequential Access ??? » Pointer to next block in file; or 31: File 31, Block 0 31: File 31, Block 0 » End of file flag; or File 31, Block 1 File 31, Block 1 » Free block flag File 63, Block 1 • Random Access ??? File 63, Block 1 • File Number -
Thread Scheduling in Multi-Core Operating Systems Redha Gouicem
Thread Scheduling in Multi-core Operating Systems Redha Gouicem To cite this version: Redha Gouicem. Thread Scheduling in Multi-core Operating Systems. Computer Science [cs]. Sor- bonne Université, 2020. English. tel-02977242 HAL Id: tel-02977242 https://hal.archives-ouvertes.fr/tel-02977242 Submitted on 24 Oct 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Ph.D thesis in Computer Science Thread Scheduling in Multi-core Operating Systems How to Understand, Improve and Fix your Scheduler Redha GOUICEM Sorbonne Université Laboratoire d’Informatique de Paris 6 Inria Whisper Team PH.D.DEFENSE: 23 October 2020, Paris, France JURYMEMBERS: Mr. Pascal Felber, Full Professor, Université de Neuchâtel Reviewer Mr. Vivien Quéma, Full Professor, Grenoble INP (ENSIMAG) Reviewer Mr. Rachid Guerraoui, Full Professor, École Polytechnique Fédérale de Lausanne Examiner Ms. Karine Heydemann, Associate Professor, Sorbonne Université Examiner Mr. Etienne Rivière, Full Professor, University of Louvain Examiner Mr. Gilles Muller, Senior Research Scientist, Inria Advisor Mr. Julien Sopena, Associate Professor, Sorbonne Université Advisor ABSTRACT In this thesis, we address the problem of schedulers for multi-core architectures from several perspectives: design (simplicity and correct- ness), performance improvement and the development of application- specific schedulers. -
Aspectj Intertype Declaration Example
Aspectj Intertype Declaration Example Untangible and suspensive Hagen hobbling her dischargers enforced equally or mithridatise satisfactorily, is Tiebold microcosmical? Yule excorticated ill-advisedly if Euro-American Lazare patronised or dislocate. Creakiest Jean-Christophe sometimes diapers his clipper bluely and revitalized so voicelessly! Here is important to form composite pattern determines what i ended up a crosscutting actions taken into account aspectj intertype declaration example. This structure aspectj intertype declaration example also hold between core library dependencies and clean as well as long. Spring boot and data, specific explanation of oop, it is discussed in aop implementation can make it for more modular. This works by aspectj intertype declaration example declarative aspect! So one in joinpoints where singleton, which is performed aspectj intertype declaration example they were taken. You only the switch aspectj intertype declaration example. That is expressed but still confused, and class methods and straightforward to modular reasoning, although support method is necessary to work being a pointcut designators match join us. Based injection as shown in this, and ui layer and advice, after and after a good to subscribe to a variety of an api. What i do not identical will only this requires an example projects. Which aop aspectj intertype declaration example that stripe represents the join point executes unless an exception has finished, as a teacher from is pretty printer. Additional options aspectj intertype declaration example for full details about it will be maintained. The requirements with references to aspectj intertype declaration example is essential way that? Exactly bud the code runs depends on the kind to advice. -
Aspect-Oriented Programmingprogramming Wes Weimer
Aspect-OrientedAspect-Oriented ProgrammingProgramming Wes Weimer (slides adapted from Dave Matuszek, UPenn) Programming paradigms Procedural (or imperative) programming Executing a set of commands in a given sequence Fortran, C, Cobol Functional programming Evaluating a function defined in terms of other functions Scheme, Lisp, ML, OCaml Logic programming Proving a theorem by finding values for the free variables Prolog Object-oriented programming (OOP) Organizing a set of objects, each with its own set of responsibilities Smalltalk, Java, Ruby, C++ (to some extent) Aspect-oriented programming (AOP) = aka Aspect-Oriented Software Design (AOSD) Executing code whenever a program shows certain behaviors AspectJ (a Java extension), Aspect#, AspectC++, … Does not replace O-O programming, but rather complements it 2 Why Learn Aspect-Oriented Design? Pragmatics – Google stats (Apr '09): “guitar hero” 36.8 million “object-oriented” 11.2 million “cobol” 6.6 million “design patterns” 3.0 million “extreme programming” 1.0 million “functional programming” 0.8 million “aspect-oriented” or “AOSD” 0.3 million But it’s growing Just like OOP was years ago Especially in the Java / Eclipse / JBoss world 3 Motivation By Allegory Imagine that you’re the ruler of a fantasy monarchy 4 Motivation By Allegory (2) You announce Wedding 1.0, but must increase security 5 Motivation By Allegory (3) You must make changes everywhere: close the secret door 6 Motivation By Allegory (4) … form a brute squad … 7 Motivation By Allegory (5) -
Aspectmaps: a Scalable Visualization of Join Point Shadows
AspectMaps: A Scalable Visualization of Join Point Shadows Johan Fabry ∗ Andy Kellens y Simon Denier PLEIAD Laboratory Software Languages Lab Stephane´ Ducasse Computer Science Department (DCC) Vrije Universiteit Brussel RMoD, INRIA Lille - Nord Europe University of Chile Belgium France http://pleiad.cl http://soft.vub.ac.be http://rmod.lille.inria.fr of join points. Second, the specification of the implicit invocations is made through a pointcut that selects at which join points the Abstract aspect executes. The behavior specification of the aspect is called the advice. An aspect may contain various pointcuts and advices, When using Aspect-Oriented Programming, it is sometimes diffi- where each advice is associated with one pointcut. cult to determine at which join point an aspect will execute. Simi- The concepts of pointcuts and advices open up new possibil- larly, when considering one join point, knowing which aspects will ities in terms of modularization, allowing for a clean separation execute there and in what order is non-trivial. This makes it difficult between base code and crosscutting concerns. However this sepa- to understand how the application will behave. A number of visu- ration makes it more difficult for a developer to assess system be- alization tools have been proposed that attempt to provide support havior. In particular, the implicit invocation mechanism introduces for such program understanding. However, they neither scale up to an additional layer of complexity in the construction of a system. large code bases nor scale down to understanding what happens at This can make it harder to understand how base system and aspects a single join point. -
Preserving Separation of Concerns Through Compilation
Preserving Separation of Concerns through Compilation A Position Paper Hridesh Rajan Robert Dyer Youssef Hanna Harish Narayanappa Dept. of Computer Science Iowa State University Ames, IA 50010 {hridesh, rdyer, ywhanna, harish}@iastate.edu ABSTRACT tempt the programmer to switch to another task entirely (e.g. Today’s aspect-oriented programming (AOP) languages pro- email, Slashdot headlines). vide software engineers with new possibilities for keeping The significant increase in incremental compilation time conceptual concerns separate at the source code level. For a is because when there is a change in a crosscutting concern, number of reasons, current aspect weavers sacrifice this sep- the effect ripples to the fragmented locations in the com- aration in transforming source to object code (and thus the piled program forcing their re-compilation. Note that the very term weaving). In this paper, we argue that sacrificing system studied by Lesiecki [12] can be classified as a small modularity has significant costs, especially in terms of the to medium scale system with just 700 classes and around speed of incremental compilation and in testing. We argue 70 aspects. In a large-scale system, slowdown in the de- that design modularity can be preserved through the map- velopment process can potentially outweigh the benefits of ping to object code, and that preserving it can have signifi- separation of concerns. cant benefits in these dimensions. We present and evaluate a Besides incremental compilation, loss of separation of con- mechanism for preserving design modularity in object code, cerns also makes unit testing of AO programs difficult. The showing that doing so has potentially significant benefits. -
Processes Process Structure
Processes Process structure The process structure contains: • Processes execute in user mode (application code) or kernel mode (operating system code). • Process identification (PID) • The user mode state consists of the processor registers • signal state and of the content of the memory segments. • timers: real-time and CPU-utilization counters • The kernel mode state consists of the processor registers • Pointers to the substructures and the information the kernel stores about the process. • The kernel state for each process is divided into several different data structures (fig. 4.1). • The top level data structures are the process structure and the user structure. • In old Unix systems the user structure contained data that was not needed when the process was swapped out. • In FreeBSD the user structure is used for only a couple of structures referenced from the process structure. • A new thread structure has been introduced in FreeBSD to keep information about a single thread. 1 2 Process structure, cont. Thread structure The thread structure contains the following categories of information: The process substructures (fig. 4.1) have the following categories of information: • Scheduling: for example thread priority • Thread state: (runnable, sleeping), and wait channel if • Process-group identification sleeping. • User credentials (UID, GID) • Machine state: the machine dependent thread information • Memory management • TCB (Thread Control Block): the user and kernel mode • File descriptors execution states including MMU registers • Resource accounting • Kernel stack: the per-thread execution stack for the kernel • Statistics • Signal actions • Thread structure Processes can be in any of the following states: NEW, NORMAL, or ZOMBIE. A process in NORMAL state can be RUNNABLE, SLEEPING or STOPPED. -
Recent Filesystem Optimisations in Freebsd
Recent Filesystem Optimisations in FreeBSD Ian Dowse <[email protected]> Corvil Networks. David Malone <[email protected]> CNRI, Dublin Institute of Technology. Abstract 2.1 Soft Updates In this paper we summarise four recent optimisations Soft updates is one solution to the problem of keeping to the FFS implementation in FreeBSD: soft updates, on-disk filesystem metadata recoverably consistent. Tra- dirpref, vmiodir and dirhash. We then give a detailed ex- ditionally, this has been achieved by using synchronous position of dirhash’s implementation. Finally we study writes to order metadata updates. However, the perfor- these optimisations under a variety of benchmarks and mance penalty of synchronous writes is high. Various look at their interactions. Under micro-benchmarks, schemes, such as journaling or the use of NVRAM, have combinations of these optimisations can offer improve- been devised to avoid them [14]. ments of over two orders of magnitude. Even real-world workloads see improvements by a factor of 2–10. Soft updates, proposed by Ganger and Patt [4], allows the reordering and coalescing of writes while maintain- ing consistency. Consequently, some operations which have traditionally been durable on system call return are 1 Introduction no longer so. However, any applications requiring syn- chronous updates can still use fsync(2) to force specific changes to be fully committed to disk. The implementa- Over the last few years a number of interesting tion of soft updates is relatively complicated, involving filesystem optimisations have become available under tracking of dependencies and the roll forward/back of FreeBSD. In this paper we have three goals.