17. Websphere Application Server
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Hacking the Master Switch? the Role of Infrastructure in Google's
Hacking the Master Switch? The Role of Infrastructure in Google’s Network Neutrality Strategy in the 2000s by John Harris Stevenson A thesis submitteD in conformity with the requirements for the Degree of Doctor of Philosophy Faculty of Information University of Toronto © Copyright by John Harris Stevenson 2017 Hacking the Master Switch? The Role of Infrastructure in Google’s Network Neutrality Strategy in the 2000s John Harris Stevenson Doctor of Philosophy Faculty of Information University of Toronto 2017 Abstract During most of the decade of the 2000s, global Internet company Google Inc. was one of the most prominent public champions of the notion of network neutrality, the network design principle conceived by Tim Wu that all Internet traffic should be treated equally by network operators. However, in 2010, following a series of joint policy statements on network neutrality with telecommunications giant Verizon, Google fell nearly silent on the issue, despite Wu arguing that a neutral Internet was vital to Google’s survival. During this period, Google engaged in a massive expansion of its services and technical infrastructure. My research examines the influence of Google’s systems and service offerings on the company’s approach to network neutrality policy making. Drawing on documentary evidence and network analysis data, I identify Google’s global proprietary networks and server locations worldwide, including over 1500 Google edge caching servers located at Internet service providers. ii I argue that the affordances provided by its systems allowed Google to mitigate potential retail and transit ISP gatekeeping. Drawing on the work of Latour and Callon in Actor– network theory, I posit the existence of at least one actor-network formed among Google and ISPs, centred on an interest in the utility of Google’s edge caching servers and the success of the Android operating system. -
Google Chrome Post Request Extension
Google Chrome Post Request Extension Hermaphroditic and augmenting Templeton quaking almost lustfully, though Gustaf inosculated his aspirations contracts. Otto singsong her regur complexly, she call it impassably. Old-rose and sedged Bennet timbers some tenderfoots so delusively! Extension will install automatically after dropping on extensions page. This can commonly be found by going to the start menu and scrolling down the all programs list until you find the appropriate program or app. Sometimes, it is the best first step if you simply want to move away from Google Ecosystem. Chrome will generate a request for a license to decrypt that media. Is Computer Science necessary or useful for programmers? Insomnia is a powerful HTTP tool belt in one intuitive app. Barth, the proof, Google also announced its plan to crack down on websites that make people involuntarily subscribe to mobile subscription plans. Thank you for your help. How much do you use JMeter and how do you use it for simulating users playing the game or just a service that maybe consumed by a particular game? Again, you set one extremely secure password. Not only can CRXcavator help organizations manage their allowlist, but the entire Google Ecosystem. Once you select the HTTP request, for keeping us informed, the server is assumed to have responded with these response headers instead. Browsers are beginning to upgrade and block insecure requests. You can setup all the headers and all the cookies and everything the way you want it and then check the response when it comes back. Network view or waterfall chart. Jadali found usernames, user interface, and so on. -
User Manual Instructional Icons Before You Start, Familiarise Yourself with the Icons Using This You Will See in This Manual
user manual Instructional icons Before you start, familiarise yourself with the icons using this you will see in this manual: Warning—situations that could cause manual injury to yourself or others This user manual has been specially Caution—situations that could cause designed to guide you through the functions and damage to your device or other equipment features of your mobile device. Note—notes, usage tips, or additional information X Refer to—pages with related information; for example: X p. 12 (represents “see page 12”) ii • Google, Android, Android Market, Google Talk, → Followed by—the order of options or Google Mail, and Google Maps are trademarks of menus you must select to perform a step; Google, Inc. → for example: Select Messaging New • YouTube is a trademark of YouTube, LLC. message (represents Messaging, YouTube® logo is a registered trademark of followed by New message) YouTube, LLC. manual this using • Bluetooth® is a registered trademark of the [ ] Square brackets—device keys; for Bluetooth SIG, Inc. worldwide. example: [ ] (represents the Power key) Bluetooth QD ID: B015432 • Wi-Fi®, the Wi-Fi CERTIFIED logo, and the Wi-Fi Copyright information logo are registered trademarks of the Wi-Fi Rights to all technologies and products that Alliance. comprise this device are the property of their respective owners: • This product has a Android platform based on Linux, which can be expanded by a variety of JavaScript-based software. iii safety and usage information .................. 1 Safety warnings ..........................................1 Safety precautions ......................................3 contents Important usage information .......................6 introducing your device ......................... 11 Unpack .....................................................11 Device layout ............................................12 Keys .........................................................13 Icons .........................................................14 getting started with your device ........... -
Web Server IIS Deployment
https://www.halvorsen.blog ASP.NET Core Web Server IIS Deployment Hans-Petter Halvorsen Introduction • Introduction to IIS deployment • If you have never used ASP.NET Core, I suggest the following Videos: – ASP.NET Core - Hello World https://youtu.be/lcQsWYgQXK4 – ASP.NET Core – Introduction https://youtu.be/zkOtiBcwo8s 2 Scenario Development Environment Test/Production Environment Local PC with Windows 10 Windows 10/Windows Server ASP.NET Core IIS Web Application SQL Server Visual Studio ASP.NET Core SQL Server Express Web Application Visual Studio Web Server • A web server is server software that can satisfy client requests on the World Wide Web. • A web server can contain one or more websites. • A web server processes incoming network requests over HTTP and several other related protocols. • The primary function of a web server is to store, process and deliver web pages to clients. • The communication between client and server takes place using the Hypertext Transfer Protocol (HTTP). • Pages delivered are most frequently HTML documents, which may include images, style sheets and scripts in addition to the text content. https://en.wikipedia.org/wiki/Web_server 4 Web Pages and Web Applications Web Server Client Web Server software, e.g., Internet Information Services (IIS) Request Web Browser, (URL) e.g., Edge, Internet Chrome, Safari, or Local etc. Response Network (LAN) Data- (HTML) base Operating System, e.g., Windows Server PC with Windows 10, macOS or Linux Smartphone with Android or iOS, etc. Web Server Software PHP (pronounced "engine x") Internet Information Services - Has become very popular lately ASP.NET Cross-platform: UNIX, Linux, OS X, Windows, .. -
Cloud Computing Bible Is a Wide-Ranging and Complete Reference
A thorough, down-to-earth look Barrie Sosinsky Cloud Computing Barrie Sosinsky is a veteran computer book writer at cloud computing specializing in network systems, databases, design, development, The chance to lower IT costs makes cloud computing a and testing. Among his 35 technical books have been Wiley’s Networking hot topic, and it’s getting hotter all the time. If you want Bible and many others on operating a terra firma take on everything you should know about systems, Web topics, storage, and the cloud, this book is it. Starting with a clear definition of application software. He has written nearly 500 articles for computer what cloud computing is, why it is, and its pros and cons, magazines and Web sites. Cloud Cloud Computing Bible is a wide-ranging and complete reference. You’ll get thoroughly up to speed on cloud platforms, infrastructure, services and applications, security, and much more. Computing • Learn what cloud computing is and what it is not • Assess the value of cloud computing, including licensing models, ROI, and more • Understand abstraction, partitioning, virtualization, capacity planning, and various programming solutions • See how to use Google®, Amazon®, and Microsoft® Web services effectively ® ™ • Explore cloud communication methods — IM, Twitter , Google Buzz , Explore the cloud with Facebook®, and others • Discover how cloud services are changing mobile phones — and vice versa this complete guide Understand all platforms and technologies www.wiley.com/compbooks Shelving Category: Use Google, Amazon, or -
Interactive Learning Modules for Computer Science
Utah State University DigitalCommons@USU All Graduate Plan B and other Reports Graduate Studies 5-2014 CSILM: Interactive Learning Modules For Computer Science Srinivasa Santosh Kumar Allu Utah State University Follow this and additional works at: https://digitalcommons.usu.edu/gradreports Part of the Computer Sciences Commons Recommended Citation Allu, Srinivasa Santosh Kumar, "CSILM: Interactive Learning Modules For Computer Science" (2014). All Graduate Plan B and other Reports. 431. https://digitalcommons.usu.edu/gradreports/431 This Report is brought to you for free and open access by the Graduate Studies at DigitalCommons@USU. It has been accepted for inclusion in All Graduate Plan B and other Reports by an authorized administrator of DigitalCommons@USU. For more information, please contact [email protected]. CSILM: INTERACTIVE LEARNING MODULES FOR COMPUTER SCIENCE by Srinivasa Santosh Kumar Allu A Plan B report submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE in Computer Science Approved: _____________________ _____________________ Dr. Vicki H. Allan, PhD Dr. Daniel Watson, PhD Major Professor Committee Member _____________________ Dr. Nicholas Flann, PhD Committee Member UTAH STATE UNIVERSITY Logan, Utah 2014 Copyright © Srinivasa Santosh Kumar Allu 2014 All Rights Reserved ii ABSTRACT CSILM: INTERACTIVE LEARNING MODULES FOR COMPUTER SCIENCE by Srinivasa Santosh Kumar Allu, Master of Science Utah State University, 2014 Major Professor: Dr. Vicki Allan, PhD Department: Computer Science CSILM is an online interactive learning management system designed to help students learn fundamental concepts of computer science. Apart from learning computer science modules using multimedia, this online system also allows students talk to professors using communication mediums like chat and implemented web analytics, enabling teachers to track student behavior and see student’s interest in learning the modules,. -
Cloudar: a Cloud-Based Framework for Mobile Augmented Reality Wenxiao ZHANG, Sikun LIN, Farshid Hassani Bijarbooneh, Hao Fei CHENG, and Pan HUI, Fellow, IEEE
1 CloudAR: A Cloud-based Framework for Mobile Augmented Reality Wenxiao ZHANG, Sikun LIN, Farshid Hassani Bijarbooneh, Hao Fei CHENG, and Pan HUI, Fellow, IEEE Abstract—Computation capabilities of recent mobile devices fixed contents based on detected surfaces, and limiting their enable natural feature processing for Augmented Reality (AR). usage in gaming or simple demonstration. However, mobile AR applications are still faced with scalability The key enabler of practical AR applications is context and performance challenges. In this paper, we propose CloudAR, a mobile AR framework utilizing the advantages of cloud and awareness, with which AR applications recognize the objects edge computing through recognition task offloading. We explore and incidents within the vicinity of the users to truly assist the design space of cloud-based AR exhaustively and optimize the their daily life. Large-scale image recognition is a crucial offloading pipeline to minimize the time and energy consumption. component of context-aware AR systems, leveraging the vision We design an innovative tracking system for mobile devices which input of mobile devices and having extensive applications in provides lightweight tracking in 6 degree of freedom (6DoF) and hides the offloading latency from users’ perception. We retail, education, tourism, advertisement, etc.. For example, an also design a multi-object image retrieval pipeline that executes AR assistant application could recognize road signs, posters, fast and accurate image recognition tasks on servers. In our or book covers around users in their daily life, and overlays evaluations, the mobile AR application built with the CloudAR useful information on top of those physical images. framework runs at 30 frames per second (FPS) on average with Despite the promising benefits, large-scale image recogni- precise tracking of only 1∼2 pixel errors and image recognition of at least 97% accuracy. -
Arxiv:1812.02903V1 [Cs.LG] 7 Dec 2018 Ized Server
APPLIED FEDERATED LEARNING: IMPROVING GOOGLE KEYBOARD QUERY SUGGESTIONS Timothy Yang*, Galen Andrew*, Hubert Eichner* Haicheng Sun, Wei Li, Nicholas Kong, Daniel Ramage, Franc¸oise Beaufays Google LLC, Mountain View, CA, U.S.A. ftimyang, galenandrew, huberte haicsun, liweithu, kongn, dramage, [email protected] ABSTRACT timely suggestions are necessary in order to maintain rele- vance. On-device inference and training through FL enable Federated learning is a distributed form of machine learn- us to both minimize latency and maximize privacy. ing where both the training data and model training are decen- In this paper, we use FL in a commercial, global-scale tralized. In this paper, we use federated learning in a commer- setting to train and deploy a model to production for infer- cial, global-scale setting to train, evaluate and deploy a model ence – all without access to the underlying user data. Our to improve virtual keyboard search suggestion quality with- use case is search query suggestions [4]: when a user enters out direct access to the underlying user data. We describe our text, Gboard uses a baseline model to determine and possibly observations in federated training, compare metrics to live de- surface search suggestions relevant to the input. For instance, ployments, and present resulting quality increases. In whole, typing “Let’s eat at Charlie’s” may display a web query sug- we demonstrate how federated learning can be applied end- gestion to search for nearby restaurants of that name; other to-end to both improve user experiences and enhance user types of suggestions include GIFs and Stickers. Here, we privacy. -
Arxiv:1811.03604V2 [Cs.CL] 28 Feb 2019
FEDERATED LEARNING FOR MOBILE KEYBOARD PREDICTION Andrew Hard, Kanishka Rao, Rajiv Mathews, Swaroop Ramaswamy, Franc¸oise Beaufays Sean Augenstein, Hubert Eichner, Chloe´ Kiddon, Daniel Ramage Google LLC, Mountain View, CA, U.S.A. fharda, kanishkarao, mathews, swaroopram, fsb saugenst, huberte, loeki, [email protected] ABSTRACT We train a recurrent neural network language model us- ing a distributed, on-device learning framework called fed- erated learning for the purpose of next-word prediction in a virtual keyboard for smartphones. Server-based training using stochastic gradient descent is compared with training on client devices using the FederatedAveraging algo- rithm. The federated algorithm, which enables training on a higher-quality dataset for this use case, is shown to achieve better prediction recall. This work demonstrates the feasibil- ity and benefit of training language models on client devices without exporting sensitive user data to servers. The federated learning environment gives users greater control over the use of their data and simplifies the task of incorporating privacy by default with distributed training and aggregation across a population of client devices. Fig. 1. Next word predictions in Gboard. Based on the con- Index Terms— Federated learning, keyboard, language text “I love you”, the keyboard predicts “and”, “too”, and “so modeling, NLP, CIFG. much”. 1. INTRODUCTION candidate, while the second and third most likely candidates occupy the left and right positions, respectively. 1 Gboard — the Google keyboard — is a virtual keyboard for Prior to this work, predictions were generated with a word touchscreen mobile devices with support for more than 600 n-gram finite state transducer (FST) [2]. -
Status and Projections of the NAS Program Frank R
https://ntrs.nasa.gov/search.jsp?R=19870015491 2020-03-20T10:46:12+00:00Z View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by NASA Technical Reports Server NASA Technical Memorandum 88339 . , Status and Projections of the NAS Program Frank R. Bailey EECGECTIOIS CP f Avail: NTlS P87-24924 CSCL 09B 63 Unclad 0080153 July 1986 National Aeronautics and Space Administration ~~ ~ NASA Technical Memorandum 88339 Status and Projections of the NAS Program Frank R. Bailey, Ames Research Center, Moffett Field, California July 1986 NASA National Aeronautics and Space Adminlstratlon Ames Research Center Moffett Field. California 94035 STATUS AND PROJECTIONS OF THE NAS PROGRAM by Dr. F. Ron Bailey to be presented at the SYMPOSIUM ON FUTURE DIRECTIONS OF COMPUTATIONAL MECHANICS ASME Winter Annual Meeting December 7-12, 1986 Anaheim, California ABSTRACT NASA's Numerical Aerodynamic Simulation (NASI Program has completed devel- opment of the initial operating configuration of the NAS Processing System Net- work (NPSN). This is the first milestone in the continuing and pathfinding effort to provide state-of-the-art supercomputing for aeronautics research and development. The NPSN, available to a nation-wide community of remote users, provides a uniform UNIX 1 environment over a network of host computers ranging from the new Cray-2 supercomputer to advanced scientific workstations. This system, coupled with a vendor-independent base of common user interface and network software, presents a new paradigm for supercomputing environments. Presented here is the background leading to the NAS Program, its programmatic goals and strategies, technical goals and objectives, and the development activ- ities leading to the current NPSN configuration. -
Einführung in Z/OS Und OS/390
Einführung in z/OS und OS/390 Dr. rer. nat. Paul Herrmannn Prof. Dr.-Ing. Wilhelm G. Spruth WS 2006/2007 Teil 3 z/OS Betriebssystem es 0101 ww6 wgs 09-99 System z und S/390 Betriebssysteme z/OS IBM große Installationen (OS/390, MVS) z/VSE IBM mittelgroße Installationen z/VM IBM Virtualisierung, Software Entwicklung TPF IBM spezialisierte Transaktionsverarbeitung UTS 4 Amdahl based on System V, Release 4 (SVR4) OSF/1 Hitachi Open System Foundation Unix z/Linux Public Domain Alle System z bzw. S/390 Betriebssysteme sind Server Betriebssysteme, optimiert für den Multi-User Betrieb es 0521z ww6 wgs 09-99 Transaction Processing Facility TPF 13. Oktober 2006. Die Firma Worldspan, ein weltweiter Anbieter von Reise-Reservierungs- systemen, hat sich für den Einsatz von sechs IBM System z9 Enterprise Class (EC) Mainframe-Servern entschieden. Worldspan will damit sein Angebot an elektronischen Datendiensten erweitern, um circa 700 Anbietern von Reiseangeboten und Millionen von Reisenden weltweit eine gemeinsame Plattform anbieten zu können. Worldspan setzt die neuen IBM System z9 EC Server ein, um sowohl Reisebüros als auch Anbietern von Online-basierten Reisediensten die Möglichkeit zur Nutzung des weltweiten Global Distribution System (GDS) zu geben, über das zum Beispiel die Bestellung und Buchung von Reiseprodukten von Flugzeugtickets, Hotels, Mietwagen und andere Reisedienstleistungen durchgeführt wird. Durch die Nutzung der Software „IBM Transaction Processing Facility“ (TPF) ist Worldspan in der Lage, 17.000 Kundenanfragen pro Sekunde auf -
Joseph S. Mertz Jr. EDUCATION
Jan 2020 Joseph S. Mertz Jr. H. John Heinz III College & Dietrich College of Humanities and Social Sciences Carnegie Mellon University Pittsburgh, PA 15213-3890 Phone: (412) 268-2540 Email: [email protected] EDUCATION: 1995 Carnegie Mellon University Ph.D. in Engineering and Public Policy 1983 University of Southern California M.S. in Computer Science 1982 Pennsylvania State University B.S. in Computer Science ACADEMIC APPOINTMENTS: Carnegie Mellon University 2018 – present: Director - Information Systems Program 2015 – present: Teaching Professor Joint 50/50 appointment: H. John Heinz III College Dietrich College of Humanities & Social Sciences Information Systems Program 2010 – 2015: Associate Teaching Professor Joint 50/50 appointment: H. John Heinz III College Dietrich College of Humanities & Social Sciences Information Systems Program 2005 – 2010: Associate Teaching Professor Joint 50/50 appointment: H. John Heinz III College School of Computer Science Spring 2009: Associate Teaching Professor Carnegie Mellon Qatar Computer Science Spring 2008: Associate Teaching Professor Carnegie Mellon Qatar Computer Science 2002 – 2005: Associate Teaching Professor Joint 50/50 appointment: Mertz-CV H. John Heinz III School of Public Policy & Management School of Computer Science 1996 – 2002: Co-Director Center for University Outreach 1994 – 1996: Post Doctoral Fellow Center for Innovation in Learning 1988 – 1995: Graduate Research Assistant Department of Engineering & Public Policy University of Puerto Rico 1986 – 1987: Visiting Professor Department of Electrical & Computer Engineering Illinois Benedictine College 1984: Adjunct Instructor Computer Science AWARDS: Mark Gelfand Service Award for Educational Outreach – 2012 Annual University honor for sustained, effective community service with academic coursework to enhance learning, and teach social responsibility. Nominated for the Martcia Wade Teaching Award – 2012 H.