Lecture 6: YACC and Syntax Directed Translation
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Network Monitoring & Management Using Cacti
Network Monitoring & Management Using Cacti Network Startup Resource Center www.nsrc.org These materials are licensed under the Creative Commons Attribution-NonCommercial 4.0 International license (http://creativecommons.org/licenses/by-nc/4.0/) Introduction Network Monitoring Tools Availability Reliability Performance Cact monitors the performance and usage of devices. Introduction Cacti: Uses RRDtool, PHP and stores data in MySQL. It supports the use of SNMP and graphics with RRDtool. “Cacti is a complete frontend to RRDTool, it stores all of the necessary information to create graphs and populate them with data in a MySQL database. The frontend is completely PHP driven. Along with being able to maintain Graphs, Data Sources, and Round Robin Archives in a database, cacti handles the data gathering. There is also SNMP support for those used to creating traffic graphs with MRTG.” Introduction • A tool to monitor, store and present network and system/server statistics • Designed around RRDTool with a special emphasis on the graphical interface • Almost all of Cacti's functionality can be configured via the Web. • You can find Cacti here: http://www.cacti.net/ Getting RRDtool • Round Robin Database for time series data storage • Command line based • From the author of MRTG • Made to be faster and more flexible • Includes CGI and Graphing tools, plus APIs • Solves the Historical Trends and Simple Interface problems as well as storage issues Find RRDtool here:http://oss.oetiker.ch/rrdtool/ RRDtool Database Format General Description 1. Cacti is written as a group of PHP scripts. 2. The key script is “poller.php”, which runs every 5 minutes (by default). -
Munin Documentation Release 2.0.44
Munin Documentation Release 2.0.44 Stig Sandbeck Mathisen <[email protected]> Dec 20, 2018 Contents 1 Munin installation 3 1.1 Prerequisites.............................................3 1.2 Installing Munin...........................................4 1.3 Initial configuration.........................................7 1.4 Getting help.............................................8 1.5 Upgrading Munin from 1.x to 2.x..................................8 2 The Munin master 9 2.1 Role..................................................9 2.2 Components.............................................9 2.3 Configuration.............................................9 2.4 Other documentation.........................................9 3 The Munin node 13 3.1 Role.................................................. 13 3.2 Configuration............................................. 13 3.3 Other documentation......................................... 13 4 The Munin plugin 15 4.1 Role.................................................. 15 4.2 Other documentation......................................... 15 5 Documenting Munin 21 5.1 Nomenclature............................................ 21 6 Reference 25 6.1 Man pages.............................................. 25 6.2 Other reference material....................................... 40 7 Examples 43 7.1 Apache virtualhost configuration.................................. 43 7.2 lighttpd configuration........................................ 44 7.3 nginx configuration.......................................... 45 7.4 Graph aggregation -
Automatic Placement of Authorization Hooks in the Linux Security Modules Framework
Automatic Placement of Authorization Hooks in the Linux Security Modules Framework Vinod Ganapathy [email protected] University of Wisconsin, Madison Joint work with Trent Jaeger Somesh Jha [email protected] [email protected] Pennsylvania State University University of Wisconsin, Madison Context of this talk Authorization policies and their enforcement Three concepts: Subjects (e.g., users, processes) Objects (e.g., system resources) Security-sensitive operations on objects. Authorization policy: A set of triples: (Subject, Object, Operation) Key question: How to ensure that the authorization policy is enforced? CCS 2005 Automatic Placement of Authorization Hooks in the Linux Security Modules Framework 2 Enforcing authorization policies Reference monitor consults the policy. Application queries monitor at appropriate locations. Can I perform operation OP? Reference Monitor Application to Policy be secured Yes/No (subj.,obj.,oper.) (subj.,obj.,oper.) (subj.,obj.,oper.) (subj.,obj.,oper.) (subj.,obj.,oper.) CCS 2005 Automatic Placement of Authorization Hooks in the Linux Security Modules Framework 3 Linux security modules framework Framework for authorization policy enforcement. Uses a reference monitor-based architecture. Integrated into Linux-2.6 Linux Kernel Reference Monitor Policy (subj.,obj.,oper.) (subj.,obj.,oper.) (subj.,obj.,oper.) (subj.,obj.,oper.) (subj.,obj.,oper.) CCS 2005 Automatic Placement of Authorization Hooks in the Linux Security Modules Framework 4 Linux security modules framework Reference monitor calls (hooks) placed appropriately in the Linux kernel. Each hook is an authorization query. Linux Kernel Reference Monitor Policy (subj.,obj.,oper.) (subj.,obj.,oper.) (subj.,obj.,oper.) (subj.,obj.,oper.) (subj.,obj.,oper.) Hooks CCS 2005 Automatic Placement of Authorization Hooks in the Linux Security Modules Framework 5 Linux security modules framework Authorization query of the form: (subj., obj., oper.)? Kernel performs operation only if query succeeds. -
Masked Graph Modeling for Molecule Generation ✉ Omar Mahmood 1, Elman Mansimov2, Richard Bonneau 3 & Kyunghyun Cho 2
ARTICLE https://doi.org/10.1038/s41467-021-23415-2 OPEN Masked graph modeling for molecule generation ✉ Omar Mahmood 1, Elman Mansimov2, Richard Bonneau 3 & Kyunghyun Cho 2 De novo, in-silico design of molecules is a challenging problem with applications in drug discovery and material design. We introduce a masked graph model, which learns a dis- tribution over graphs by capturing conditional distributions over unobserved nodes (atoms) and edges (bonds) given observed ones. We train and then sample from our model by iteratively masking and replacing different parts of initialized graphs. We evaluate our 1234567890():,; approach on the QM9 and ChEMBL datasets using the GuacaMol distribution-learning benchmark. We find that validity, KL-divergence and Fréchet ChemNet Distance scores are anti-correlated with novelty, and that we can trade off between these metrics more effec- tively than existing models. On distributional metrics, our model outperforms previously proposed graph-based approaches and is competitive with SMILES-based approaches. Finally, we show our model generates molecules with desired values of specified properties while maintaining physiochemical similarity to the training distribution. 1 Center for Data Science, New York University, New York, NY, USA. 2 Department of Computer Science, Courant Institute of Mathematical Sciences, New ✉ York, NY, USA. 3 Center for Genomics and Systems Biology, New York University, New York, NY, USA. email: [email protected] NATURE COMMUNICATIONS | (2021) 12:3156 | https://doi.org/10.1038/s41467-021-23415-2 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-021-23415-2 he design of de novo molecules in-silico with desired prop- enable more informative comparisons between models that use Terties is an essential part of drug discovery and materials different molecular representations. -
Chapter # 9 LEX and YACC
Chapter # 9 LEX and YACC Dr. Shaukat Ali Department of Computer Science University of Peshawar Lex and Yacc Lex and yacc are a matched pair of tools. Lex breaks down files into sets of "tokens," roughly analogous to words. Yacc takes sets of tokens and assembles them into higher-level constructs, analogous to sentences. Lex's output is mostly designed to be fed into some kind of parser. Yacc is designed to work with the output of Lex. 2 Lex and Yacc Lex and yacc are tools for building programs. Their output is itself code – Which needs to be fed into a compiler – May be additional user code is added to use the code generated by lex and yacc 3 Lex : A lexical analyzer generator Lex is a program designed to generate scanners, also known as tokenizers, which recognize lexical patterns in text Lex is an acronym that stands for "lexical analyzer generator.“ The main purpose is to facilitate lexical analysis The processing of character sequences in source code to produce tokens for use as input to other programs such as parsers Another tool for lexical analyzer generation is Flex 4 Lex : A lexical analyzer generator lex.lex is an a input file written in a language which describes the generation of lexical analyzer. The lex compiler transforms lex.l to a C program known as lex.yy.c. lex.yy.c is compiled by the C compiler to a file called a.out. The output of C compiler is the working lexical analyzer which takes stream of input characters and produces a stream of tokens. -
Text Editing in UNIX: an Introduction to Vi and Editing
Text Editing in UNIX A short introduction to vi, pico, and gedit Copyright 20062009 Stewart Weiss About UNIX editors There are two types of text editors in UNIX: those that run in terminal windows, called text mode editors, and those that are graphical, with menus and mouse pointers. The latter require a windowing system, usually X Windows, to run. If you are remotely logged into UNIX, say through SSH, then you should use a text mode editor. It is possible to use a graphical editor, but it will be much slower to use. I will explain more about that later. 2 CSci 132 Practical UNIX with Perl Text mode editors The three text mode editors of choice in UNIX are vi, emacs, and pico (really nano, to be explained later.) vi is the original editor; it is very fast, easy to use, and available on virtually every UNIX system. The vi commands are the same as those of the sed filter as well as several other common UNIX tools. emacs is a very powerful editor, but it takes more effort to learn how to use it. pico is the easiest editor to learn, and the least powerful. pico was part of the Pine email client; nano is a clone of pico. 3 CSci 132 Practical UNIX with Perl What these slides contain These slides concentrate on vi because it is very fast and always available. Although the set of commands is very cryptic, by learning a small subset of the commands, you can edit text very quickly. What follows is an outline of the basic concepts that define vi. -
Project1: Build a Small Scanner/Parser
Project1: Build A Small Scanner/Parser Introducing Lex, Yacc, and POET cs5363 1 Project1: Building A Scanner/Parser Parse a subset of the C language Support two types of atomic values: int float Support one type of compound values: arrays Support a basic set of language concepts Variable declarations (int, float, and array variables) Expressions (arithmetic and boolean operations) Statements (assignments, conditionals, and loops) You can choose a different but equivalent language Need to make your own test cases Options of implementation (links available at class web site) Manual in C/C++/Java (or whatever other lang.) Lex and Yacc (together with C/C++) POET: a scripting compiler writing language Or any other approach you choose --- must document how to download/use any tools involved cs5363 2 This is just starting… There will be two other sub-projects Type checking Check the types of expressions in the input program Optimization/analysis/translation Do something with the input code, output the result The starting project is important because it determines which language you can use for the other projects Lex+Yacc ===> can work only with C/C++ POET ==> work with POET Manual ==> stick to whatever language you pick This class: introduce Lex/Yacc/POET to you cs5363 3 Using Lex to build scanners lex.yy.c MyLex.l lex/flex lex.yy.c a.out gcc/cc Input stream a.out tokens Write a lex specification Save it in a file (MyLex.l) Compile the lex specification file by invoking lex/flex lex MyLex.l A lex.yy.c file is generated -
User Manual for Ox: an Attribute-Grammar Compiling System Based on Yacc, Lex, and C Kurt M
Computer Science Technical Reports Computer Science 12-1992 User Manual for Ox: An Attribute-Grammar Compiling System based on Yacc, Lex, and C Kurt M. Bischoff Iowa State University Follow this and additional works at: http://lib.dr.iastate.edu/cs_techreports Part of the Programming Languages and Compilers Commons Recommended Citation Bischoff, Kurt M., "User Manual for Ox: An Attribute-Grammar Compiling System based on Yacc, Lex, and C" (1992). Computer Science Technical Reports. 21. http://lib.dr.iastate.edu/cs_techreports/21 This Article is brought to you for free and open access by the Computer Science at Iowa State University Digital Repository. It has been accepted for inclusion in Computer Science Technical Reports by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. User Manual for Ox: An Attribute-Grammar Compiling System based on Yacc, Lex, and C Abstract Ox generalizes the function of Yacc in the way that attribute grammars generalize context-free grammars. Ordinary Yacc and Lex specifications may be augmented with definitions of synthesized and inherited attributes written in C syntax. From these specifications, Ox generates a program that builds and decorates attributed parse trees. Ox accepts a most general class of attribute grammars. The user may specify postdecoration traversals for easy ordering of side effects such as code generation. Ox handles the tedious and error-prone details of writing code for parse-tree management, so its use eases problems of security and maintainability associated with that aspect of translator development. The translators generated by Ox use internal memory management that is often much faster than the common technique of calling malloc once for each parse-tree node. -
Operational Semantics with Hierarchical Abstract Syntax Graphs*
Operational Semantics with Hierarchical Abstract Syntax Graphs* Dan R. Ghica Huawei Research, Edinburgh University of Birmingham, UK This is a motivating tutorial introduction to a semantic analysis of programming languages using a graphical language as the representation of terms, and graph rewriting as a representation of reduc- tion rules. We show how the graphical language automatically incorporates desirable features, such as a-equivalence and how it can describe pure computation, imperative store, and control features in a uniform framework. The graph semantics combines some of the best features of structural oper- ational semantics and abstract machines, while offering powerful new methods for reasoning about contextual equivalence. All technical details are available in an extended technical report by Muroya and the author [11] and in Muroya’s doctoral dissertation [21]. 1 Hierarchical abstract syntax graphs Before proceeding with the business of analysing and transforming the source code of a program, a com- piler first parses the input text into a sequence of atoms, the lexemes, and then assembles them into a tree, the Abstract Syntax Tree (AST), which corresponds to its grammatical structure. The reason for preferring the AST to raw text or a sequence of lexemes is quite obvious. The structure of the AST incor- porates most of the information needed for the following stage of compilation, in particular identifying operations as nodes in the tree and operands as their branches. This makes the AST algorithmically well suited for its purpose. Conversely, the AST excludes irrelevant lexemes, such as separators (white-space, commas, semicolons) and aggregators (brackets, braces), by making them implicit in the tree-like struc- ture. -
Yacc a Tool for Syntactic Analysis
1 Yacc a tool for Syntactic Analysis CS 315 – Programming Languages Pinar Duygulu Bilkent University CS315 Programming Languages © Pinar Duygulu Lex and Yacc 2 1) Lexical Analysis: Lexical analyzer: scans the input stream and converts sequences of characters into tokens. Lex is a tool for writing lexical analyzers. 2) Syntactic Analysis (Parsing): Parser: reads tokens and assembles them into language constructs using the grammar rules of the language. Yacc is a tool for constructing parsers. Yet Another Compiler to Compiler Reads a specification file that codifies the grammar of a language and generates a parsing routine CS315 Programming Languages © Pinar Duygulu 3 Yacc • Yacc specification describes a Context Free Grammar (CFG), that can be used to generate a parser. Elements of a CFG: 1. Terminals: tokens and literal characters, 2. Variables (nonterminals): syntactical elements, 3. Production rules, and 4. Start rule. CS315 Programming Languages © Pinar Duygulu 4 Yacc Format of a production rule: symbol: definition {action} ; Example: A → Bc is written in yacc as a: b 'c'; CS315 Programming Languages © Pinar Duygulu 5 Yacc Format of a yacc specification file: declarations %% grammar rules and associated actions %% C programs CS315 Programming Languages © Pinar Duygulu 6 Declarations To define tokens and their characteristics %token: declare names of tokens %left: define left-associative operators %right: define right-associative operators %nonassoc: define operators that may not associate with themselves %type: declare the type of variables %union: declare multiple data types for semantic values %start: declare the start symbol (default is the first variable in rules) %prec: assign precedence to a rule %{ C declarations directly copied to the resulting C program %} (E.g., variables, types, macros…) CS315 Programming Languages © Pinar Duygulu 7 A simple yacc specification to accept L={ anbn | n>1}. -
Binpac: a Yacc for Writing Application Protocol Parsers
binpac: A yacc for Writing Application Protocol Parsers Ruoming Pang∗ Vern Paxson Google, Inc. International Computer Science Institute and New York, NY, USA Lawrence Berkeley National Laboratory [email protected] Berkeley, CA, USA [email protected] Robin Sommer Larry Peterson International Computer Science Institute Princeton University Berkeley, CA, USA Princeton, NJ, USA [email protected] [email protected] ABSTRACT Similarly, studies of Email traffic [21, 46], peer-to-peer applica- A key step in the semantic analysis of network traffic is to parse the tions [37], online gaming, and Internet attacks [29] require under- traffic stream according to the high-level protocols it contains. This standing application-level traffic semantics. However, it is tedious, process transforms raw bytes into structured, typed, and semanti- error-prone, and sometimes prohibitively time-consuming to build cally meaningful data fields that provide a high-level representation application-level analysis tools from scratch, due to the complexity of the traffic. However, constructing protocol parsers by hand is a of dealing with low-level traffic data. tedious and error-prone affair due to the complexity and sheer num- We can significantly simplify the process if we can leverage a ber of application protocols. common platform for various kinds of application-level traffic anal- This paper presents binpac, a declarative language and com- ysis. A key element of such a platform is application-protocol piler designed to simplify the task of constructing robust and effi- parsers that translate packet streams into high-level representations cient semantic analyzers for complex network protocols. We dis- of the traffic, on top of which we can then use measurement scripts cuss the design of the binpac language and a range of issues that manipulate semantically meaningful data elements such as in generating efficient parsers from high-level specifications. -
An Attribute- Grammar Compiling System Based on Yacc, Lex, and C Kurt M
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Digital Repository @ Iowa State University Computer Science Technical Reports Computer Science 12-1992 Design, Implementation, Use, and Evaluation of Ox: An Attribute- Grammar Compiling System based on Yacc, Lex, and C Kurt M. Bischoff Iowa State University Follow this and additional works at: http://lib.dr.iastate.edu/cs_techreports Part of the Programming Languages and Compilers Commons Recommended Citation Bischoff, Kurt M., "Design, Implementation, Use, and Evaluation of Ox: An Attribute- Grammar Compiling System based on Yacc, Lex, and C" (1992). Computer Science Technical Reports. 23. http://lib.dr.iastate.edu/cs_techreports/23 This Article is brought to you for free and open access by the Computer Science at Iowa State University Digital Repository. It has been accepted for inclusion in Computer Science Technical Reports by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Design, Implementation, Use, and Evaluation of Ox: An Attribute- Grammar Compiling System based on Yacc, Lex, and C Abstract Ox generalizes the function of Yacc in the way that attribute grammars generalize context-free grammars. Ordinary Yacc and Lex specifications may be augmented with definitions of synthesized and inherited attributes written in C syntax. From these specifications, Ox generates a program that builds and decorates attributed parse trees. Ox accepts a most general class of attribute grammars. The user may specify postdecoration traversals for easy ordering of side effects such as code generation. Ox handles the tedious and error-prone details of writing code for parse-tree management, so its use eases problems of security and maintainability associated with that aspect of translator development.