Web Acceleration Mechanics
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Nvme-Based Caching in Video-Delivery Cdns
NVMe-Based Caching In Video-Delivery CDNs Thomas Colonna 1901942 Double Degree INSA Rennes Supervisor: Sébastien Lafond Faculty of Science and Engineering Åbo Akademi University 2020 In HTTP-based video-delivery CDNs (content delivery networks), a critical compo- nent is caching servers that serve clients with content obtained from an origin server. These caches store the content they obtain in RAM or onto disks for serving additional clients without fetching them from the origin. For most use cases, access to the disk remains the limiting factor, thus requiring a significant amount of RAM to avoid these accesses and achieve good performance, but increasing the cost. In this master’s thesis, we benchmark various approaches to provide storage such as regular disks and NVMe-based SSDs. Based on these insights, we design a caching mod- ule for a web server relying on kernel-bypass, implemented using the reference framework SPDK. The outcome of the master’s thesis is a caching module leveraging specific proper- ties of NVMe disks, and benchmark results for the various types of disks with the two approaches to caching (i.e., regular filesystem based or NVMe-specific). Contents 1 Introduction 1 2 Background 3 2.1 Caching in the context of CDNs . .3 2.2 Performances of the different disk models . .4 2.2.1 Hard-Disk Drive . .4 2.2.2 Random-Access Memory . .5 2.2.3 Solid-State Drive . .6 2.2.4 Non-Volatile Main Memory . .6 2.2.5 Performance comparison of 2019-2020 storage devices . .6 2.3 Analysing Nginx . .7 2.3.1 Event processing . -
Tinkertool System 7 Reference Manual Ii
Documentation 0642-1075/2 TinkerTool System 7 Reference Manual ii Version 7.5, August 24, 2021. US-English edition. MBS Documentation 0642-1075/2 © Copyright 2003 – 2021 by Marcel Bresink Software-Systeme Marcel Bresink Software-Systeme Ringstr. 21 56630 Kretz Germany All rights reserved. No part of this publication may be redistributed, translated in other languages, or transmitted, in any form or by any means, electronic, mechanical, recording, or otherwise, without the prior written permission of the publisher. This publication may contain examples of data used in daily business operations. To illustrate them as completely as possible, the examples include the names of individuals, companies, brands, and products. All of these names are fictitious and any similarity to the names and addresses used by an actual business enterprise is entirely coincidental. This publication could include technical inaccuracies or typographical errors. Changes are periodically made to the information herein; these changes will be incorporated in new editions of the publication. The publisher may make improvements and/or changes in the product(s) and/or the program(s) described in this publication at any time without notice. Make sure that you are using the correct edition of the publication for the level of the product. The version number can be found at the top of this page. Apple, macOS, iCloud, and FireWire are registered trademarks of Apple Inc. Intel is a registered trademark of Intel Corporation. UNIX is a registered trademark of The Open Group. Broadcom is a registered trademark of Broadcom, Inc. Amazon Web Services is a registered trademark of Amazon.com, Inc. -
ICP and the Squid Web Cache* 1 Introduction
ICP and the Squid Web Cache Duane Wessels k cla y August 13, 1997 Abstract We describ e the structure and functionality of the Internet Cache Proto col ICP and its implementation in the Squid Web Caching software. ICP is a lightweight message format used for communication among Web caches. Caches exchange ICP queries and replies to gather information to use in selecting the most appropriate lo cation from which to retrieve an ob ject. We present background on the history of ICP, and discuss issues in ICP deployment, e- ciency, security, and interaction with other asp ects of Web trac b ehavior. We catalog successes, failures, and lessons learned from using ICP to deploy a global Web cache hierarchy. 1 Intro duction Ever since the World-Wide Web rose to p opularity around 1994, much e ort has fo cused on reducing latency exp erienced by users. Sur ng the Web can b e slow for many reasons. Server systems b ecome slow when overloaded, esp ecially when hot sp ots suddenly app ear. Congestion can also o ccur at network exchange p oints or across links, and is esp ecially prevalent across trans-o ceanic links that often cost millions of dollars p er month. A common, alb eit exp ensiveway to alleviate such problems is to upgrade the overloaded resource: get a faster server, another E1, a bigger switch. However, this approach is not only often eco- nomically infeasible, but p erhaps more imp ortantly, it also fails to consider the numerous parties involved in even a single, simple Web transaction. -
Squirrel: a Decentralized Peer-To-Peer Web Cache
To appear in the 21th ACM Symposium on Principles of Distributed Computing (PODC 2002) Squirrel: A decentralized peer-to-peer web cache ∗ Sitaram Iyer Antony Rowstron Peter Druschel Rice University Microsoft Research Rice University 6100 Main Street, MS-132 7 J J Thomson Close 6100 Main Street, MS-132 Houston, TX 77005, USA Cambridge, CB3 0FB, UK Houston, TX 77005, USA [email protected] [email protected] [email protected] ABSTRACT There is substantial literature in the areas of cooperative This paper presents a decentralized, peer-to-peer web cache web caching [3, 6, 9, 20, 23, 24] and web cache workload char- called Squirrel. The key idea is to enable web browsers on acterization [4]. This paper demonstrates how it is possible, desktop machines to share their local caches, to form an ef- desirable and efficient to adopt a peer-to-peer approach to ficient and scalable web cache, without the need for dedicated web caching in a corporate LAN type environment, located hardware and the associated administrative cost. We propose in a single geographical region. Using trace-based simula- and evaluate decentralized web caching algorithms for Squir- tion, it shows how most of the functionality and performance rel, and discover that it exhibits performance comparable to of a traditional web cache can be achieved in a completely a centralized web cache in terms of hit ratio, bandwidth us- self-organizing system that needs no extra hardware or ad- age and latency. It also achieves the benefits of decentraliza- ministration, and is fault-resilient. The following paragraphs tion, such as being scalable, self-organizing and resilient to elaborate on these ideas. -
Introduction of an Advanced Caching Layer Leveraging the Varnish Technology Stack and Integrating It to the Existing Web Platform
Introduction of an Advanced Caching Layer Leveraging the Varnish Technology Stack and Integrating It to the Existing Web Platform Author: Irina Vasilieva Director: Jaime M. Delgado Merce June 21, 2018 Barcelona School of Informatics Universitat Polit`ecnicade Catalunya Thesis presented for the Bachelor Degree of Computer Science Abstract Web performance nowadays plays a significant role for many leading enterprises and the ones that trying to gain more visibility and users. Multiple studies and research papers in the area show that poor performance have a negative impact on business goals. An endless waiting for slow Web pages to load frus- trates demanding visitors into seeking alternatives and as a result, abandoning a website. Many different solutions and approaches came up recently to solve performance and scalability issues on the web sites. It is no surprise, that companies attempt to retain their users, improve user experience, conversions and SEO rankings to get a profitable revenue. HTTP requests reduction, file compression, in- frastructure, image optimization are some of the web performance optimization techniques, or even a combination of them, enterprises find useful for their web platforms. Varnish, an open source software, was suggested as a proxy caching server to prove that it can drastically improve hit rate and response times on the website. It can deal with performance and scalability at the highest level. In order to demonstrate the caching capability of Varnish a web platform was built based on Adobe Experience Manager with its own out of the box caching tool, named dispatcher. The main focus is to replace dispatcher and compare the web per- formance outcome. -
Performance Guide 3.7.0.123608
Vizrt Community Expansion Performance Guide 3.7.0.123608 Copyright © 2010-2012 Vizrt. All rights reserved. No part of this software, documentation or publication may be reproduced, transcribed, stored in a retrieval system, translated into any language, computer language, or transmitted in any form or by any means, electronically, mechanically, magnetically, optically, chemically, photocopied, manually, or otherwise, without prior written permission from Vizrt. Vizrt specifically retains title to all Vizrt software. This software is supplied under a license agreement and may only be installed, used or copied in accordance to that agreement. Disclaimer Vizrt provides this publication “as is” without warranty of any kind, either expressed or implied. This publication may contain technical inaccuracies or typographical errors. While every precaution has been taken in the preparation of this document to ensure that it contains accurate and up-to-date information, the publisher and author assume no responsibility for errors or omissions. Nor is any liability assumed for damages resulting from the use of the information contained in this document. Vizrt’s policy is one of continual development, so the content of this document is periodically subject to be modified without notice. These changes will be incorporated in new editions of the publication. Vizrt may make improvements and/or changes in the product(s) and/or the program(s) described in this publication at any time. Vizrt may have patents or pending patent applications covering subject matters in this document. The furnishing of this document does not give you any license to these patents. Technical Support For technical support and the latest news of upgrades, documentation, and related products, visit the Vizrt web site at www.vizrt.com. -
Managing the Performance Impact of Web Security
Electronic Commerce Research, 5: 99–116 (2005) 2005 Springer Science + Business Media, Inc. Manufactured in the Netherlands. Managing the Performance Impact of Web Security ADAM STUBBLEFIELD and AVIEL D. RUBIN Johns Hopkins University, USA DAN S. WALLACH Rice University, USA Abstract Security and performance are usually at odds with each other. Current implementations of security on the web have been adopted at the extreme end of the spectrum, where strong cryptographic protocols are employed at the expense of performance. The SSL protocol is not only computationally intensive, but it makes web caching impossible, thus missing out on potential performance gains. In this paper we discuss the requirements for web security and present a solution that takes into account performance impact and backwards compatibil- ity. Keywords: security, web performance scalability, Internet protocols 1. Introduction Security plays an important role in web transactions. Users need assurance about the au- thenticity of servers and the confidentiality of their private data. They also need to know that any authentication material (such as a password or credit card) they send to a server is only readable by that server. Servers want to believe that data they are sending to paying customers is not accessible to all. Security is not free, and in fact, on the web, it is particularly expensive. This paper focuses on managing the performance impact of web security. The current web security standard, SSL, has a number of problems from a performance perspective. Most obviously, the cryptographic operations employed by SSL are computationally expensive, especially for the web server. While this computational limitation is slowly being overcome by faster processors and custom accelerators, SSL also prevents the content it delivers from being cached. -
Guide to Open Source Solutions
White paper ___________________________ Guide to open source solutions “Guide to open source by Smile ” Page 2 PREAMBLE SMILE Smile is a company of engineers specialising in the implementing of open source solutions OM and the integrating of systems relying on open source. Smile is member of APRIL, the C . association for the promotion and defence of free software, Alliance Libre, PLOSS, and PLOSS RA, which are regional cluster associations of free software companies. OSS Smile has 600 throughout the World which makes it the largest company in Europe - specialising in open source. Since approximately 2000, Smile has been actively supervising developments in technology which enables it to discover the most promising open source products, to qualify and assess them so as to offer its clients the most accomplished, robust and sustainable products. SMILE . This approach has led to a range of white papers covering various fields of application: Content management (2004), portals (2005), business intelligence (2006), PHP frameworks (2007), virtualisation (2007), and electronic document management (2008), as well as PGIs/ERPs (2008). Among the works published in 2009, we would also cite “open source VPN’s”, “Firewall open source flow control”, and “Middleware”, within the framework of the WWW “System and Infrastructure” collection. Each of these works presents a selection of best open source solutions for the domain in question, their respective qualities as well as operational feedback. As open source solutions continue to acquire new domains, Smile will be there to help its clients benefit from these in a risk-free way. Smile is present in the European IT landscape as the integration architect of choice to support the largest companies in the adoption of the best open source solutions. -
Direct Internet 3 User Manual for the Windows Operating Systems
DIRECT INTERNET 3 User Manual for the Mac OS® Operating System Iridium Communications Inc. Rev. 2; October 29, 2010 Table of Contents 1 OVERVIEW ............................................................................................................................................1 2 HOW IT WORKS ....................................................................................................................................1 3 THE DIAL-UP CONNECTION ...............................................................................................................2 3.1 Connect ..........................................................................................................................................2 3.2 Disconnect .....................................................................................................................................5 4 DIRECT INTERNET 3 WEB ACCELERATOR ......................................................................................6 4.1 Launch ...........................................................................................................................................6 4.2 The User Interface Menu ...............................................................................................................7 4.3 Start and Stop ................................................................................................................................8 4.4 Statistics .........................................................................................................................................9 -
Freebsd's Firewall Feast
SEE TEXT ONLY FreeBSD’s Firewall Feast By Michael W Lucas reeBSD is famous for all sorts of fantastic gets silently dropped, and which is sent back to features, such as ZFS, jails, bhyve virtual- the source with a letter of complaint. A packet- ization, and the Ports Collection. It’s forwarding packet filter is the original firewall. F somewhat infamous, however, for having The firewalls all have a common core feature three different firewalls: PF, IPFilter, and IPFW. set considered the minimum for a modern pack- Where did all these firewalls come from, and et filter. They can track the state of a TCP/IP con- why are they all still in the system? nection and permit traffic based on existing con- The IT industry has repeatedly abused, nections. They can all return resets or silently stretched, and tormented the word firewall to fit drop connections. All can manage non-routable all sorts of different products. When someone addresses and perform network address transla- uses firewall, ask them exactly what they’re talk- tion. They all work with lists of rules defining ing about. Do they mean a caching HTTP proxy how to respond to traffic from different IP like Squid or Varnish? A generic proxy like addresses and network ports. Incoming packets relayd? Or a TCP/IP packet filter? are compared to the list of rules until they are All of FreeBSD’s firewalls are packet filters. permitted or rejected. They control which TCP/IP addresses and ports The firewalls have their own unique features, can connect to the host. -
Ubuntu Server Guide Basic Installation Preparing to Install
Ubuntu Server Guide Welcome to the Ubuntu Server Guide! This site includes information on using Ubuntu Server for the latest LTS release, Ubuntu 20.04 LTS (Focal Fossa). For an offline version as well as versions for previous releases see below. Improving the Documentation If you find any errors or have suggestions for improvements to pages, please use the link at thebottomof each topic titled: “Help improve this document in the forum.” This link will take you to the Server Discourse forum for the specific page you are viewing. There you can share your comments or let us know aboutbugs with any page. PDFs and Previous Releases Below are links to the previous Ubuntu Server release server guides as well as an offline copy of the current version of this site: Ubuntu 20.04 LTS (Focal Fossa): PDF Ubuntu 18.04 LTS (Bionic Beaver): Web and PDF Ubuntu 16.04 LTS (Xenial Xerus): Web and PDF Support There are a couple of different ways that the Ubuntu Server edition is supported: commercial support and community support. The main commercial support (and development funding) is available from Canonical, Ltd. They supply reasonably- priced support contracts on a per desktop or per-server basis. For more information see the Ubuntu Advantage page. Community support is also provided by dedicated individuals and companies that wish to make Ubuntu the best distribution possible. Support is provided through multiple mailing lists, IRC channels, forums, blogs, wikis, etc. The large amount of information available can be overwhelming, but a good search engine query can usually provide an answer to your questions. -
Cached and Confused: Web Cache Deception in the Wild
Cached and Confused: Web Cache Deception in the Wild Seyed Ali Mirheidari, University of Trento; Sajjad Arshad, Northeastern University; Kaan Onarlioglu, Akamai Technologies; Bruno Crispo, University of Trento, KU Leuven; Engin Kirda and William Robertson, Northeastern University https://www.usenix.org/conference/usenixsecurity20/presentation/mirheidari This paper is included in the Proceedings of the 29th USENIX Security Symposium. August 12–14, 2020 978-1-939133-17-5 Open access to the Proceedings of the 29th USENIX Security Symposium is sponsored by USENIX. Cached and Confused: Web Cache Deception in the Wild Seyed Ali Mirheidari Sajjad Arshad∗ Kaan Onarlioglu University of Trento Northeastern University Akamai Technologies Bruno Crispo Engin Kirda William Robertson University of Trento & Northeastern University Northeastern University KU Leuven Abstract In particular, Content Delivery Network (CDN) providers Web cache deception (WCD) is an attack proposed in 2017, heavily rely on effective web content caching at their edge where an attacker tricks a caching proxy into erroneously servers, which together comprise a massively-distributed In- storing private information transmitted over the Internet and ternet overlay network of caching reverse proxies. Popular subsequently gains unauthorized access to that cached data. CDN providers advertise accelerated content delivery and Due to the widespread use of web caches and, in particular, high availability via global coverage and deployments reach- the use of massive networks of caching proxies deployed ing hundreds of thousands of servers [5,15]. A recent scien- by content distribution network (CDN) providers as a critical tific measurement also estimates that more than 74% of the component of the Internet, WCD puts a substantial population Alexa Top 1K are served by CDN providers, indicating that of Internet users at risk.