Migration from Blocking to Non-Blocking Web Frameworks Guidelines for Profits Assessment
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Next Generation Web Scanning Presentation
Next generation web scanning New Zealand: A case study First presented at KIWICON III 2009 By Andrew Horton aka urbanadventurer NZ Web Recon Goal: To scan all of New Zealand's web-space to see what's there. Requirements: – Targets – Scanning – Analysis Sounds easy, right? urbanadventurer (Andrew Horton) www.morningstarsecurity.com Targets urbanadventurer (Andrew Horton) www.morningstarsecurity.com Targets What does 'NZ web-space' mean? It could mean: •Geographically within NZ regardless of the TLD •The .nz TLD hosted anywhere •All of the above For this scan it means, IPs geographically within NZ urbanadventurer (Andrew Horton) www.morningstarsecurity.com Finding Targets We need creative methods to find targets urbanadventurer (Andrew Horton) www.morningstarsecurity.com DNS Zone Transfer urbanadventurer (Andrew Horton) www.morningstarsecurity.com Find IP addresses on IRC and by resolving lots of NZ websites 58.*.*.* 60.*.*.* 65.*.*.* 91.*.*.* 110.*.*.* 111.*.*.* 113.*.*.* 114.*.*.* 115.*.*.* 116.*.*.* 117.*.*.* 118.*.*.* 119.*.*.* 120.*.*.* 121.*.*.* 122.*.*.* 123.*.*.* 124.*.*.* 125.*.*.* 130.*.*.* 131.*.*.* 132.*.*.* 138.*.*.* 139.*.*.* 143.*.*.* 144.*.*.* 146.*.*.* 150.*.*.* 153.*.*.* 156.*.*.* 161.*.*.* 162.*.*.* 163.*.*.* 165.*.*.* 166.*.*.* 167.*.*.* 192.*.*.* 198.*.*.* 202.*.*.* 203.*.*.* 210.*.*.* 218.*.*.* 219.*.*.* 222.*.*.* 729,580,500 IPs. More than we want to try. urbanadventurer (Andrew Horton) www.morningstarsecurity.com IP address blocks in the IANA IPv4 Address Space Registry Prefix Designation Date Whois Status [1] ----- -
Applying the Proactor Pattern to High-Performance Web Servers
APPLYING THE PROACTOR PATTERN TO HIGH-PERFORMANCE WEB SERVERS James Hu Irfan Pyarali Douglas C. Schmidt [email protected],edu [email protected] [email protected] Department of Computer Science, Washington University St. Louis, MO 63130, USA This paper is to appear at the 10th International Confer- 1 INTRODUCTION ence on Parallel and Distributed Computing and Systems, IASTED, Las Vegas, Nevada, October 28-31, 1998. Computing power and network bandwidth on the Internet has increased dramatically over the past decade. High- speed networks (such as ATM and Gigabit Ethernet) and high-performance I/O subsystems (such as RAID) are be- ABSTRACT coming ubiquitous. In this context, developing scalable Web servers that can exploit these innovations remains a Modern operating systems provide multiple concurrency key challenge for developers. Thus, it is increasingly im- mechanisms to develop high-performance Web servers. portant to alleviate common Web server bottlenecks, such Synchronous multi-threading is a popular mechanism for as inappropriate choice of concurrency and dispatching developing Web servers that must perform multiple oper- strategies, excessive filesystem access, and unnecessary ations simultaneously to meet their performance require- data copying. ments. In addition, an increasing number of operating sys- Our research vehicle for exploring the performance im- tems support asynchronous mechanisms that provide the pact of applying various Web server optimization tech- benefits of concurrency, while alleviating much of the per- niques is the JAWS Adaptive Web Server (JAWS) [1]. JAWS formance overhead of synchronous multi-threading. is both an adaptive Web server and a development frame- This paper provides two contributions to the study of work for Web servers that runs on multiple OS platforms high-performance Web servers. -
Dspace 1.8 Documentation
DSpace 1.8 Documentation DSpace 1.8 Documentation Author: The DSpace Developer Team Date: 03 November 2011 URL: https://wiki.duraspace.org/display/DSDOC18 Page 1 of 621 DSpace 1.8 Documentation Table of Contents 1 Preface _____________________________________________________________________________ 13 1.1 Release Notes ____________________________________________________________________ 13 2 Introduction __________________________________________________________________________ 15 3 Functional Overview ___________________________________________________________________ 17 3.1 Data Model ______________________________________________________________________ 17 3.2 Plugin Manager ___________________________________________________________________ 19 3.3 Metadata ________________________________________________________________________ 19 3.4 Packager Plugins _________________________________________________________________ 20 3.5 Crosswalk Plugins _________________________________________________________________ 21 3.6 E-People and Groups ______________________________________________________________ 21 3.6.1 E-Person __________________________________________________________________ 21 3.6.2 Groups ____________________________________________________________________ 22 3.7 Authentication ____________________________________________________________________ 22 3.8 Authorization _____________________________________________________________________ 22 3.9 Ingest Process and Workflow ________________________________________________________ 24 -
Building Multiplayer Games with Web Sockets #GHC19 About Us
Leveling Up: Building Multiplayer Games with Web Sockets #GHC19 About Us: #GHC19 Agenda 0. Introduction 1. Simple Chat Application 2. Multiplayer Game 3. Further Applications #GHC19 www.kahoot.com #GHC19 #GHC19 #GHC19 #GHC19 Diagram source: BMC Blog #GHC19 Diagram source: BMC Blog TCP and UDP are the transport level protocols TCP UDP Reliable Unreliable Connection-oriented Connectionless Segment sequencing No sequencing Acknowledge No acknowledgement segments #GHC19 Source: Pluralsight #GHC19 Diagram source: BMC Blog #GHC19 Diagram source: BMC Blog HTTP is used to share information on the application layer #GHC19 Graphic Source: Webnots Alternatives to WebSockets ● Browser Plug-Ins ● Polling ● Long Polling ● Server-Sent Events (SSE) #GHC19 The WebSocket protocol is used for real-time communication RFC-6455 #GHC19 Source: IETF RFC-6455 Some benefits of WebSockets Event driven Reduces network overhead - no need to send full HTTP requests HTTP compatible Co-exists on same port as your web server TLS/SSL compatible Same security as HTTPS #GHC19 WebSocket connection overview #GHC19 Diagram source: PubNub Staff Opening Handshake Client Handshake Server Handshake #GHC19 Source: IETF RFC-6455 Opening Handshake Client Handshake Server Handshake #GHC19 Source: IETF RFC-6455 Opening Handshake Client Handshake Server Handshake #GHC19 Source: IETF RFC-6455 Opening Handshake Client Handshake Server Handshake #GHC19 Source: IETF RFC-6455 Opening Handshake Client Handshake Server Handshake #GHC19 Source: IETF RFC-6455 Data Transfer Base Framing Protocol -
The Challenges of Hardware Synthesis from C-Like Languages
The Challenges of Hardware Synthesis from C-like Languages Stephen A. Edwards∗ Department of Computer Science Columbia University, New York Abstract most successful C-like languages, in fact, bear little syntactic or semantic resemblance to C, effectively forcing users to learn The relentless increase in the complexity of integrated circuits a new language anyway. As a result, techniques for synthesiz- we can fabricate imposes a continuing need for ways to de- ing hardware from C either generate inefficient hardware or scribe complex hardware succinctly. Because of their ubiquity propose a language that merely adopts part of C syntax. and flexibility, many have proposed to use the C and C++ lan- For space reasons, this paper is focused purely on the use of guages as specification languages for digital hardware. Yet, C-like languages for synthesis. I deliberately omit discussion tools based on this idea have seen little commercial interest. of other important uses of a design language, such as validation In this paper, I argue that C/C++ is a poor choice for specify- and algorithm exploration. C-like languages are much more ing hardware for synthesis and suggest a set of criteria that the compelling for these tasks, and one in particular (SystemC) is next successful hardware description language should have. now widely used, as are many ad hoc variants. 1 Introduction 2 A Short History of C Familiarity is the main reason C-like languages have been pro- Dennis Ritchie developed C in the early 1970 [18] based on posed for hardware synthesis. Synthesize hardware from C, experience with Ken Thompson’s B language, which had itself proponents claim, and we will effectively turn every C pro- evolved from Martin Richards’ BCPL [17]. -
Synchronously Waiting on Asynchronous Operations
Document No. P1171R0 Date 2018-10-07 Reply To Lewis Baker <[email protected]> Audience SG1, LEWG Synchronously waiting on asynchronous operations Overview The paper P1056R0 introduces a new std::experimental::task<T> type. This type represents an asynchronous operation that requires applying operator co_await to the task retrieve the result. The task<T> type is an instance of the more general concept of Awaitable types. The limitation of Awaitable types is that they can only be co_awaited from within a coroutine. For example, from the body of another task<T> coroutine. However, then you still end up with another Awaitable type that must be co_awaited within another coroutine. This presents a problem of how to start executing the first task and wait for it to complete. task<int> f(); task<int> g() { // Call to f() returns a not-yet-started task. // Applying operator co_await() to the task starts its execution // and suspends the current coroutine until it completes. int a = co_await f(); co_return a + 1; } int main() { task<int> t = g(); // But how do we start executing g() and waiting for it to complete // when outside of a coroutine context, such as in main()? int x = ???; return x; } This paper proposes a new function, sync_wait(), that will allow a caller to pass an arbitrary Awaitable type into the function. The function will co_await the passed Awaitable object on the current thread and then block waiting for that co_await operation to complete; either synchronously on the current thread, or asynchronously on another thread. When the operation completes, the result is captured on whichever thread the operation completed on. -
Lock-Free Programming
Lock-Free Programming Geoff Langdale L31_Lockfree 1 Desynchronization ● This is an interesting topic ● This will (may?) become even more relevant with near ubiquitous multi-processing ● Still: please don’t rewrite any Project 3s! L31_Lockfree 2 Synchronization ● We received notification via the web form that one group has passed the P3/P4 test suite. Congratulations! ● We will be releasing a version of the fork-wait bomb which doesn't make as many assumptions about task id's. – Please look for it today and let us know right away if it causes any trouble for you. ● Personal and group disk quotas have been grown in order to reduce the number of people running out over the weekend – if you try hard enough you'll still be able to do it. L31_Lockfree 3 Outline ● Problems with locking ● Definition of Lock-free programming ● Examples of Lock-free programming ● Linux OS uses of Lock-free data structures ● Miscellanea (higher-level constructs, ‘wait-freedom’) ● Conclusion L31_Lockfree 4 Problems with Locking ● This list is more or less contentious, not equally relevant to all locking situations: – Deadlock – Priority Inversion – Convoying – “Async-signal-safety” – Kill-tolerant availability – Pre-emption tolerance – Overall performance L31_Lockfree 5 Problems with Locking 2 ● Deadlock – Processes that cannot proceed because they are waiting for resources that are held by processes that are waiting for… ● Priority inversion – Low-priority processes hold a lock required by a higher- priority process – Priority inheritance a possible solution L31_Lockfree -
Open Source Software Packages
Hitachi Ops Center V. 10.3.1 Open Source Software Packages Contact Information: Hitachi Ops Center Project Manager Hitachi Vantara LLC 2535 Augustine Drive Santa Clara, California 95054 Name of Product/Product Version License Component aesh 2.4 Apache License, Version 2.0 aesh Extensions 1.8 Apache License, Version 2.0 aesh Readline 2.0 Apache License, Version 2.0 aesh Terminal API 2.0 Apache License, Version 2.0 @angular-builders/custom- 8.0.0-RC.0 The MIT License webpack @angular-devkit/build-angular 0.800.0-rc.2 The MIT License @angular-devkit/build-angular 0.803.25 The MIT License @angular-devkit/core 7.3.8 The MIT License @angular-devkit/schematics 7.3.8 The MIT License @angular/animations 7.2.15 The MIT License @angular/animations 8.2.14 The MIT License @angular/cdk 7.3.7 The MIT License Name of Product/Product Version License Component @angular/cli 8.0.0 The MIT License @angular/cli 8.3.25 The MIT License @angular/common 7.2.15 The MIT License @angular/common 8.2.14 The MIT License @angular/compiler 7.2.15 The MIT License @angular/compiler 8.2.14 The MIT License @angular/compiler-cli 8.2.14 The MIT License @angular/core 7.2.15 The MIT License @angular/forms 7.2.13 The MIT License @angular/forms 7.2.15 The MIT License @angular/forms 8.2.14 The MIT License @angular/forms 8.2.7 The MIT License @angular/language-service 8.2.14 The MIT License @angular/platform-browser 7.2.15 The MIT License @angular/platform-browser 8.2.14 The MIT License Name of Product/Product Version License Component @angular/platform-browser- 7.2.15 The MIT License -
Deploying with Jruby Is the Definitive Text on Getting Jruby Applications up and Running
Early Praise for Deploying JRuby Deploying with JRuby is the definitive text on getting JRuby applications up and running. Joe has pulled together a great collection of deployment knowledge, and the JRuby story is much stronger as a result. ➤ Charles Oliver Nutter JRuby Core team member and coauthor, Using JRuby Deploying with JRuby answers all of the most frequently asked questions regarding real-world use of JRuby that I have seen, including many we were not able to answer in Using JRuby. Whether you’re coming to JRuby from Ruby or Java, Joe fills in all the gaps you’ll need to deploy JRuby with confidence. ➤ Nick Sieger JRuby Core team member and coauthor, Using JRuby This book is an excellent guide to navigating the various JRuby deployment op- tions. Joe is fair in his assessment of these technologies and describes a clear path for getting your Ruby application up and running on the JVM. ➤ Bob McWhirter TorqueBox team lead at Red Hat Essential reading to learn not only how to deploy web applications on JRuby but also why. ➤ David Calavera Creator of Trinidad Deploying with JRuby is a must-read for anyone interested in production JRuby deployments. The book walks through the major deployment strategies by providing easy-to-follow examples that help the reader take full advantage of the JRuby servers while avoiding the common pitfalls of migrating an application to JRuby. ➤ Ben Browning TorqueBox developer at Red Hat Deploying with JRuby is an invaluable resource for anyone planning on using JRuby for web-based development. For those who have never used JRuby, Joe clearly presents its many advantages and few disadvantages in comparison to MRI. -
J2EETM Deployment: the Jonas Case Study
J2EETM Deployment: The JOnAS Case Study François Exertier Bull, 1, rue de Provence BP 208 38432 Echirolles Cedex [email protected] RÉSUMÉ. La spécification J2EE (Java 2 platform Enterprise Edition) définit une architecture de serveur d'application Java. Jusqu'à J2EE 1.3, seuls les aspects de déploiement concernant le développeur d'applications étaient adressés. Avec J2EE 1.4, les interfaces et les étapes de déploiement ont été plus précisément spécifiées dans la spécification "J2EE Deployment". JOnAS (Java Open Application Server) est une plate-forme J2EE développée au sein du consortium ObjectWeb. Les aspects déploiement sont en cours de développement. Cet article décrit les concepts liés au déploiement dans J2EE, ainsi que les problématiques levées lors de leur mise en œuvre pour JOnAS. Il n'a pas pour but de présenter un travail abouti, mais illustre le déploiement par un cas concret et ébauche une liste de besoins non encore satisfaits dans le domaine. ABSTRACT. The J2EE (Java 2 platform Enterprise Edition) specification defines an architecture for Java Application Servers. Until J2EE 1.3, the deployment aspect was addressed from the developer point of view only. Since J2EE 1.4, deployment APIs and steps have been more precisely specified within the "J2EE Deployment Specification". JOnAS (Java Open Application Server) is a J2EE platform implementation by ObjectWeb. The deployment aspects are under development. This article describes the J2EE Deployment concepts, and the issues raised when implementing deployment features within JOnAS. It does not provide a complete solution, but illustrates deployment through a concrete example and initiates a list of non fulfilled requirements. -
CMS Application Multitasking
z/VM Version 7 Release 1 CMS Application Multitasking IBM SC24-6258-00 Note: Before you use this information and the product it supports, read the information in “Notices” on page 337. This edition applies to version 7, release 1, modification 0 of IBM® z/VM® (product number 5741-A09) and to all subsequent releases and modifications until otherwise indicated in new editions. Last updated: 2018-09-12 © Copyright International Business Machines Corporation 1992, 2018. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents List of Figures....................................................................................................... ix List of Tables........................................................................................................ xi About This Document..........................................................................................xiii Intended Audience.................................................................................................................................... xiii Where to Find More Information...............................................................................................................xiii Links to Other Documents and Websites............................................................................................ xiii How to Send Your Comments to IBM.....................................................................xv Summary of Changes for z/VM CMS Application Multitasking.............................. -
A Design Framework for Highly Concurrent Systems
A Design Framework for Highly Concurrent Systems Matt Welsh, Steven D. Gribble, Eric A. Brewer, and David Culler Computer Science Division University of California, Berkeley Berkeley, CA 94720 USA mdw,gribble,brewer,culler @cs.berkeley.edu f g Abstract In addition to high concurrency, Internet services have three other properties which necessitate a fresh Building highly concurrent systems, such as large-scale look at how these systems are designed: burstiness, Internet services, requires managing many information flows continuous demand, and human-scale access latency. at once and maintaining peak throughput when demand ex- Burstiness of load is fundamental to the Internet; deal- ceeds resource availability. In addition, any platform sup- ing with overload conditions must be designed into the porting Internet services must provide high availability and be able to cope with burstiness of load. Many approaches system from the beginning. Internet services must also to building concurrent systems have been proposed, which exhibit very high availability, with a downtime of no generally fall into the two categories of threaded and event- more than a few minutes a year. Finally, because ac- driven programming. We propose that threads and events cess latencies for Internet services are at human scale are actually on the ends of a design spectrum, and that and are limited by WAN and modem access times, an the best implementation strategy for these applications is important engineering tradeoff to make is to optimize somewhere in between. for high throughput rather than low latency. We present a general-purpose design framework for build- ing highly concurrent systems, based on three design com- Building highly concurrent systems is inherently dif- ponents | tasks, queues, and thread pools | which encapsu- ficult.