Middleware: an Architecture for Distributed Systems Services
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Software Development Career Pathway
Career Exploration Guide Software Development Career Pathway Information Technology Career Cluster For more information about NYC Career and Technical Education, visit: www.cte.nyc Summer 2018 Getting Started What is software? What Types of Software Can You Develop? Computers and other smart devices are made up of Software includes operating systems—like Windows, Web applications are websites that allow users to contact management system, and PeopleSoft, a hardware and software. Hardware includes all of the Apple, and Google Android—and the applications check email, share documents, and shop online, human resources information system. physical parts of a device, like the power supply, that run on them— like word processors and games. among other things. Users access them with a Mobile applications are programs that can be data storage, and microprocessors. Software contains Software applications can be run directly from a connection to the Internet through a web browser accessed directly through mobile devices like smart instructions that are stored and run by the hardware. device or through a connection to the Internet. like Firefox, Chrome, or Safari. Web browsers are phones and tablets. Many mobile applications have Other names for software are programs or applications. the platforms people use to find, retrieve, and web-based counterparts. display information online. Web browsers are applications too. Desktop applications are programs that are stored on and accessed from a computer or laptop, like Enterprise software are off-the-shelf applications What is Software Development? word processors and spreadsheets. that are customized to the needs of businesses. Popular examples include Salesforce, a customer Software development is the design and creation of Quality Testers test the application to make sure software and is usually done by a team of people. -
Object Oriented Programming
No. 52 March-A pril'1990 $3.95 T H E M TEe H CAL J 0 URN A L COPIA Object Oriented Programming First it was BASIC, then it was structures, now it's objects. C++ afi<;ionados feel, of course, that objects are so powerful, so encompassing that anything could be so defined. I hope they're not placing bets, because if they are, money's no object. C++ 2.0 page 8 An objective view of the newest C++. Training A Neural Network Now that you have a neural network what do you do with it? Part two of a fascinating series. Debugging C page 21 Pointers Using MEM Keep C fro111 (C)rashing your system. An AT Keyboard Interface Use an AT keyboard with your latest project. And More ... Understanding Logic Families EPROM Programming Speeding Up Your AT Keyboard ((CHAOS MADE TO ORDER~ Explore the Magnificent and Infinite World of Fractals with FRAC LS™ AN ELECTRONIC KALEIDOSCOPE OF NATURES GEOMETRYTM With FracTools, you can modify and play with any of the included images, or easily create new ones by marking a region in an existing image or entering the coordinates directly. Filter out areas of the display, change colors in any area, and animate the fractal to create gorgeous and mesmerizing images. Special effects include Strobe, Kaleidoscope, Stained Glass, Horizontal, Vertical and Diagonal Panning, and Mouse Movies. The most spectacular application is the creation of self-running Slide Shows. Include any PCX file from any of the popular "paint" programs. FracTools also includes a Slide Show Programming Language, to bring a higher degree of control to your shows. -
A DATA-ORIENTED NETWORK ARCHITECTURE Doctoral Dissertation
TKK Dissertations 140 Espoo 2008 A DATA-ORIENTED NETWORK ARCHITECTURE Doctoral Dissertation Teemu Koponen Helsinki University of Technology Faculty of Information and Natural Sciences Department of Computer Science and Engineering TKK Dissertations 140 Espoo 2008 A DATA-ORIENTED NETWORK ARCHITECTURE Doctoral Dissertation Teemu Koponen Dissertation for the degree of Doctor of Science in Technology to be presented with due permission of the Faculty of Information and Natural Sciences for public examination and debate in Auditorium T1 at Helsinki University of Technology (Espoo, Finland) on the 2nd of October, 2008, at 12 noon. Helsinki University of Technology Faculty of Information and Natural Sciences Department of Computer Science and Engineering Teknillinen korkeakoulu Informaatio- ja luonnontieteiden tiedekunta Tietotekniikan laitos Distribution: Helsinki University of Technology Faculty of Information and Natural Sciences Department of Computer Science and Engineering P.O. Box 5400 FI - 02015 TKK FINLAND URL: http://cse.tkk.fi/ Tel. +358-9-4511 © 2008 Teemu Koponen ISBN 978-951-22-9559-3 ISBN 978-951-22-9560-9 (PDF) ISSN 1795-2239 ISSN 1795-4584 (PDF) URL: http://lib.tkk.fi/Diss/2008/isbn9789512295609/ TKK-DISS-2510 Picaset Oy Helsinki 2008 AB ABSTRACT OF DOCTORAL DISSERTATION HELSINKI UNIVERSITY OF TECHNOLOGY P. O. BOX 1000, FI-02015 TKK http://www.tkk.fi Author Teemu Koponen Name of the dissertation A Data-Oriented Network Architecture Manuscript submitted 09.06.2008 Manuscript revised 12.09.2008 Date of the defence 02.10.2008 Monograph X Article dissertation (summary + original articles) Faculty Information and Natural Sciences Department Computer Science and Engineering Field of research Networking Opponent(s) Professor Jon Crowcroft Supervisor Professor Antti Ylä-Jääski Instructor(s) Dr. -
2015 State of the Software Supply Chain Report: HIDDEN SPEED BUMPS on the ROAD to “CONTINUOUS”
2015 State of the Software Supply Chain Report: HIDDEN SPEED BUMPS ON THE ROAD TO “CONTINUOUS” Foreword by Gene Kim, Gareth Rushgrove, John Willis, Jez Humble, and Nigel Simpson RESEARCH REPORT TABLE OF CONTENTS Foreword . 3 Introduction . 5 Why All Modern Software Development Relies on a Software Supply Chain . 6 SUPPLIERS: Open Source Projects . 7 Public Repositories (The Warehouses) . 8 Choosing the Best Suppliers (Sourcing) . .. 9 PARTS: Open Source Components . 12 Repository Management (Local Warehouses) . 15 MANUFACTURERS: Assembled Software Development . 19 Technical Debt: Assembly Line Inefficiencies . .. 21 FINISHED GOODS: Software Applications . 22 The Volume of Elective Re-work and Risk . 22 Software Bill of Materials . 23 Quality Controls: OWASP, PCI, FS-ISAC, U .S . Congress . 23 Lessons Learned from Traditional Manufacturing Supply Chains . 25 Automation: How To Improve Software Supply Chains . 26 Appendix . 28 Figure 1: The Volume and Size of the Global Software Supply Chain Figure 2: Target Benchmarks for Software Supply Chain Practices - Quality Control Figure 3: Target Benchmarks for Software Supply Chain Practices - Efficient Distribution Figure 4: Analysis of Components Used within Applications Figure 5: Multiple Versions of Parts Often Downloaded by the Largest Development Teams Figure 6: Volume of Defective Parts Used Figure 7: Comparison of Impact of Supply Chain Complexity on Prius versus Volt Figure 8: Efficient Sourcing Practices By Manufacturers 2015 State of the Software Supply Chain Report: Hidden Speed Bumps on the Road to “Continuous” Page 2 FOREWORD Gene Kim, Co-author of “The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win” and upcoming “DevOps Cookbook” “Anyone who believes, as I do, that we can learn valuable lessons from manufacturing and supply chains on how to better manage technology work will love this report . -
IBM Research Report Proceedings of the IBM Phd Student Symposium at ICSOC 2006
RC24118 (W0611-165) November 28, 2006 Computer Science IBM Research Report Proceedings of the IBM PhD Student Symposium at ICSOC 2006 Ed. by: Andreas Hanemann (Leibniz Supercomputing Center, Germany) Benedikt Kratz (Tilburg University, The Netherlands) Nirmal Mukhi (IBM Research, USA) Tudor Dumitras (Carnegie Mellon University, USA) Research Division Almaden - Austin - Beijing - Haifa - India - T. J. Watson - Tokyo - Zurich Preface Service-Oriented Computing (SoC) is a dynamic new field of research, creating a paradigm shift in the way software applications are designed and delivered. SoC technologies, through the use of open middleware standards, enable collab- oration across organizational boundaries and are transforming the information- technology landscape. SoC builds on ideas and experiences from many different fields to produce the novel research needed to drive this paradigm shift. The IBM PhD Student Symposium at ICSOC provides a forum where doc- toral students conducting research in SoC can present their on-going dissertation work and receive feedback from a group of well-known experts. Each presentation is organized as a mock thesis-defense, with a committee of 4 mentors providing extensive feedback and advice for completing a successful PhD thesis. This for- mat is similar to the one adopted by the doctoral symposia associated with ICSE, OOPSLA, ECOOP, Middleware and ISWC. The closing session of the symposium is a panel discussion where the roles are reversed, and the mentors answer the students’ questions about research careers in industry and academia. The symposium agenda also contains a keynote address on writing a good PhD dissertation, delivered by Dr. Priya Narasimhan, Assistant Professor at Carnegie Mellon University and member of the ACM Doctoral Dissertation Committee. -
College of Fine and Applied Arts Annual Meeting 5:00P.M.; Tuesday, April 5, 2011 Temple Buell Architecture Gallery, Architecture Building
COLLEGE OF FINE AND APPLIED ARTS ANNUAL MEETING 5:00P.M.; TUESDAY, APRIL 5, 2011 TEMPLE BUELL ARCHITECTURE GALLERY, ARCHITECTURE BUILDING AGENDA 1. Welcome: Robert Graves, Dean 2. Approval of April 5, 2010 draft Annual Meeting Minutes (ATTACHMENT A) 3. Administrative Reports and Dean’s Report 4. Action Items – need motion to approve (ATTACHMENT B) Nominations for Standing Committees a. Courses and Curricula b. Elections and Credentials c. Library 5. Unit Reports 6. Academic Professional Award for Excellence and Faculty Awards for Excellence (ATTACHMENT C) 7. College Summary Data (Available on FAA Web site after meeting) a. Sabbatical Requests (ATTACHMENT D) b. Dean’s Special Grant Awards (ATTACHMENT E) c. Creative Research Awards (ATTACHMENT F) d. Student Scholarships/Enrollment (ATTACHMENT G) e. Kate Neal Kinley Memorial Fellowship (ATTACHMENT H) f. Retirements (ATTACHMENT I) g. Notable Achievements (ATTACHMENT J) h. College Committee Reports (ATTACHMENT K) 8. Other Business and Open Discussion 9. Adjournment Please join your colleagues for refreshments and conversation after the meeting in the Temple Buell Architecture Gallery, Architecture Building ATTACHMENT A ANNUAL MEETING MINUTES COLLEGE OF FINE AND APPLIED ARTS 5:00P.M.; MONDAY, APRIL 5, 2010 FESTIVAL FOYER, KRANNERT CENTER FOR THE PERFORMING ARTS 1. Welcome: Robert Graves, Dean Dean Robert Graves described the difficulties that the College faced in AY 2009-2010. Even during the past five years, when the economy was in better shape than it is now, it had become increasingly clear that the College did not have funds or personnel sufficient to accomplish comfortably all the activities it currently undertakes. In view of these challenges, the College leadership began a process of re- examination in an effort to find economies of scale, explore new collaborations, and spur creative thinking and cooperation. -
Design and Architectures for Signal and Image Processing
EURASIP Journal on Embedded Systems Design and Architectures for Signal and Image Processing Guest Editors: Markus Rupp, Dragomir Milojevic, and Guy Gogniat Design and Architectures for Signal and Image Processing EURASIP Journal on Embedded Systems Design and Architectures for Signal and Image Processing Guest Editors: Markus Rupp, Dragomir Milojevic, and Guy Gogniat Copyright © 2008 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in volume 2008 of “EURASIP Journal on Embedded Systems.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Editor-in-Chief Zoran Salcic, University of Auckland, New Zealand Associate Editors Sandro Bartolini, Italy Thomas Kaiser, Germany S. Ramesh, India Neil Bergmann, Australia Bart Kienhuis, The Netherlands Partha S. Roop, New Zealand Shuvra Bhattacharyya, USA Chong-Min Kyung, Korea Markus Rupp, Austria Ed Brinksma, The Netherlands Miriam Leeser, USA Asim Smailagic, USA Paul Caspi, France John McAllister, UK Leonel Sousa, Portugal Liang-Gee Chen, Taiwan Koji Nakano, Japan Jarmo Henrik Takala, Finland Dietmar Dietrich, Austria Antonio Nunez, Spain Jean-Pierre Talpin, France Stephen A. Edwards, USA Sri Parameswaran, Australia Jurgen¨ Teich, Germany Alain Girault, France Zebo Peng, Sweden Dongsheng Wang, China Rajesh K. Gupta, USA Marco Platzner, Germany Susumu Horiguchi, Japan Marc Pouzet, France Contents -
Middleware-Based Database Replication: the Gaps Between Theory and Practice
Appears in Proceedings of the ACM SIGMOD Conference, Vancouver, Canada (June 2008) Middleware-based Database Replication: The Gaps Between Theory and Practice Emmanuel Cecchet George Candea Anastasia Ailamaki EPFL EPFL & Aster Data Systems EPFL & Carnegie Mellon University Lausanne, Switzerland Lausanne, Switzerland Lausanne, Switzerland [email protected] [email protected] [email protected] ABSTRACT There exist replication “solutions” for every major DBMS, from Oracle RAC™, Streams™ and DataGuard™ to Slony-I for The need for high availability and performance in data Postgres, MySQL replication and cluster, and everything in- management systems has been fueling a long running interest in between. The naïve observer may conclude that such variety of database replication from both academia and industry. However, replication systems indicates a solved problem; the reality, academic groups often attack replication problems in isolation, however, is the exact opposite. Replication still falls short of overlooking the need for completeness in their solutions, while customer expectations, which explains the continued interest in developing new approaches, resulting in a dazzling variety of commercial teams take a holistic approach that often misses offerings. opportunities for fundamental innovation. This has created over time a gap between academic research and industrial practice. Even the “simple” cases are challenging at large scale. We deployed a replication system for a large travel ticket brokering This paper aims to characterize the gap along three axes: system at a Fortune-500 company faced with a workload where performance, availability, and administration. We build on our 95% of transactions were read-only. Still, the 5% write workload own experience developing and deploying replication systems in resulted in thousands of update requests per second, which commercial and academic settings, as well as on a large body of implied that a system using 2-phase-commit, or any other form of prior related work. -
Network‐Based Approaches for Pathway Level Analysis
Network-Based Approaches for Pathway UNIT 8.25 Level Analysis Tin Nguyen,1 Cristina Mitrea,2 and Sorin Draghici2,3 1Department of Computer Science and Engineering, University of Nevada, Reno, Nevada 2Department of Computer Science, Wayne State University, Detroit, Michigan 3Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan Identification of impacted pathways is an important problem because it allows us to gain insights into the underlying biology beyond the detection of differ- entially expressed genes. In the past decade, a plethora of methods have been developed for this purpose. The last generation of pathway analysis methods are designed to take into account various aspects of pathway topology in order to increase the accuracy of the findings. Here, we cover 34 such topology-based pathway analysis methods published in the past 13 years. We compare these methods on categories related to implementation, availability, input format, graph models, and statistical approaches used to compute pathway level statis- tics and statistical significance. We also discuss a number of critical challenges that need to be addressed, arising both in methodology and pathway repre- sentation, including inconsistent terminology, data format, lack of meaningful benchmarks, and, more importantly, a systematic bias that is present in most existing methods. C 2018 by John Wiley & Sons, Inc. Keywords: systems biology r pathway r topology r gene network r survey r pathway analysis How to cite this article: Nguyen, T., Mitrea, C., & Draghici, S. (2018). Network-based approaches for pathway level analysis. Current Protocols in Bioinformatics, 61, 8.25.1–8.25.24. doi: 10.1002/cpbi.42 INTRODUCTION this gap is the fact that living organisms are With rapid advances in high-throughput complex systems whose emerging phenotypes technologies, various kinds of genomic are the results of multiple complex interactions data have become prevalent in most of taking place on various metabolic and signal- biomedical research. -
Scheduling Many-Task Workloads on Supercomputers: Dealing with Trailing Tasks
Scheduling Many-Task Workloads on Supercomputers: Dealing with Trailing Tasks Timothy G. Armstrong, Zhao Zhang Daniel S. Katz, Michael Wilde, Ian T. Foster Department of Computer Science Computation Institute University of Chicago University of Chicago & Argonne National Laboratory [email protected], [email protected] [email protected], [email protected], [email protected] Abstract—In order for many-task applications to be attrac- as a worker and allocate one task per node. If tasks are tive candidates for running on high-end supercomputers, they single-threaded, each core or virtual thread can be treated must be able to benefit from the additional compute, I/O, as a worker. and communication performance provided by high-end HPC hardware relative to clusters, grids, or clouds. Typically this The second feature of many-task applications is an empha- means that the application should use the HPC resource in sis on high performance. The many tasks that make up the such a way that it can reduce time to solution beyond what application effectively collaborate to produce some result, is possible otherwise. Furthermore, it is necessary to make and in many cases it is important to get the results quickly. efficient use of the computational resources, achieving high This feature motivates the development of techniques to levels of utilization. Satisfying these twin goals is not trivial, because while the efficiently run many-task applications on HPC hardware. It parallelism in many task computations can vary over time, allows people to design and develop performance-critical on many large machines the allocation policy requires that applications in a many-task style and enables the scaling worker CPUs be provisioned and also relinquished in large up of existing many-task applications to run on much larger blocks rather than individually. -
Runtime Monitoring of Web Service Choreographies Using Streaming XML
Runtime Monitoring of Web Service Choreographies Using Streaming XML ∗ Sylvain Hall´e Roger Villemaire University of California, Santa Barbara Universit´edu Qu´ebec `aMontr´eal Department of Computer Science C.P. 8888, Succ. Centre-ville Santa Barbara, CA 9310-65110 Montreal, Canada H3C 3P8 [email protected] [email protected] ABSTRACT web services. Since most web services exchange XML mes- A wide range of web service choreography constraints on sages, one can refer to a recorded trace as an XML “docu- the content and sequentiality of messages can be translated ment” that can be analyzed using standard XML tools, us- into Linear Temporal Logic (LTL). Although they can be ing for example the XML Query Language (XQuery) [19,28]. checked statically on abstractions of actual services, it is However, most works attempting to tap on the resources desirable that violations of these specifications be also de- available in XQuery engines operate in a post mortem fash- tected at runtime. In this paper, we show that, given a ion: an instance of a choreography must be finished be- suitable translation of LTL formulæ into XQuery expres- fore analysis can take place on a complete XML document. sions, such runtime monitoring of choreography constraints While in some cases, a post mortem analysis on recorded is possible by feeding the trace of messages to a streaming traces is appropriate, there exist situations where violations XQuery processor. The forward-only fragment of LTL is in- of a specification must be addressed as soon as they are troduced; it represents the fragment of LTL supported by discovered. -
Architecture of Low Duty-Cycle Mechanisms Nadjib Aitsaadi, Paul Muhlethaler, Mohamed-Haykel Zayani
Architecture of low duty-cycle mechanisms Nadjib Aitsaadi, Paul Muhlethaler, Mohamed-Haykel Zayani To cite this version: Nadjib Aitsaadi, Paul Muhlethaler, Mohamed-Haykel Zayani. Architecture of low duty-cycle mecha- nisms. 2014. hal-01068788 HAL Id: hal-01068788 https://hal.archives-ouvertes.fr/hal-01068788 Submitted on 26 Sep 2014 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. GETRF delivrable 4: Architecture of low duty-cycle mechanisms Nadjib Aitsaadi, Paul M¨uhlethaler, Mohamed-Haykel Zayani Hipercom Project-Team Inria Paris-Rocquencourt February 2014 1 Contents 1 Introduction 4 2 Principlesofthearchitecture 5 2.1 Routingprotocols......................... 5 2.2 MACrendezvousprotocols. 6 2.2.1 Sender-oriented rendezvous algorithm . 6 2.2.2 Receiver-oriented rendezvous algorithms . 9 2.3 Building a low duty-cycle protocol in multihop wireless networks 9 3 Descriptionofourcontributions 10 3.1 Receiver-orientedproposal . 10 3.1.1 Description ........................ 10 3.1.2 Analyticalmodel . 12 3.1.3 Simulationresults. 15 3.2 Sender-orientedproposal . 24 3.2.1 Description ........................ 24 3.2.2 Analyticalmodel . 27 3.2.3 Simulationresults. 28 3.3 Comparisonanddiscussion . 32 4 Conclusion 34 2 3 1 Introduction A Wireless Sensor Network (WSN) is composed of sensor nodes deployed within an area to monitor predefined phenomena (e.g.