Microsoft just won a massive contract from the Defense Department, showing how nationalism, militarism, and corporate power intermingle in the tech industry. Our response must be to unite tech workers across borders — and reject the jingoism that divides us.
KEEP (Keeping Emulation Environments Portable) will develop emulation services (KEEP Emulation Services) to enable accurate rendering of both static and dynamic digital objects: text, sound, and image files; multimedia documents, websites, databases, videogames etc.
The overall aim of the project is to facilitate universal access to our cultural heritage by developing flexible tools for accessing and storing a wide range of digital objects. KEEP will also consider legal issues concerning the implementation of emulation-based systems and propose solutions which comply with European and national copyright laws.
Stock Cloud began as data mining experiment with a very simple goal — "Could we extract Business Partnerships by tracking press releases?" To accomplish this we selected a press release distribution agency, MarketWire, and began tracking releases. Usi
Stock Cloud began as data mining experiment with a very simple goal — "Could we extract Business Partnerships by tracking press releases?" To accomplish this we selected a press release distribution agency, MarketWire, and began tracking releases. Usi
roject Bamboo is a multi-institutional, interdisciplinary effort that brings together humanities scholars, librarians, and information technologists to tackle the question: “How can we advance arts and humanities research through the development of shared technology services?”
Amazon Web Service today announced a new AWS Import/Export feature. A potentially huge step forward for data portabilty when using the Amazon Cloud computing infrastructure.
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers the tools to build failure resilient applications and isolate themselves from common failure scenarios.
On Amazon EC2 you can run many of the proven IBM platform technologies with which you’re already familiar, including IBM DB2, IBM Informix, IBM Lotus Forms Turbo, IBM Lotus Web Content Management, IBM Mashup Center, IBM WebSphere Application Server, IBM WebSphere sMash, and IBM WebSphere Portal Server, WebSphere eXtreme, and InfoSphere DataStage/QualityStage with its corresponding Windows client.
Amazon Elastic MapReduce is a web service that enables businesses, researchers, data analysts, and developers to easily and cost-effectively process vast amounts of data. It utilizes a hosted Hadoop framework running on the web-scale infrastructure of Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3).
Using Amazon Elastic MapReduce, you can instantly provision as much or as little capacity as you like to perform data-intensive tasks for applications such as web indexing, data mining, log file analysis, machine learning, financial analysis, scientific simulation, and bioinformatics research. Amazon Elastic MapReduce lets you focus on crunching or analyzing your data without having to worry about time-consuming set-up, management or tuning of Hadoop clusters or the compute capacity upon which they sit.
A. Newman, Y. Li, und J. Hunter. Proceedings of the 4th International Workshop on Scalable
Semantic
Web Knowledge Base Systems (SSWS), Seite 1--16. (Oktober 2008)
G. Di Fabbrizio, T. Okken, und J. Wilpon. Proceedings of the 2009 international conference on Multimodal interfaces, Seite 71--78. New York, NY, USA, ACM, (2009)
M. KADKOL, H. D.S, S. P, und C. B.S. International Journal on Recent and Innovation Trends in Computing and Communication, 3 (3):
1405--1408(März 2015)
P. Gourshettiwar, und P. Shirbhate. International Journal on Recent and Innovation Trends in Computing and Communication, 3 (4):
2132--2136(April 2015)
S. Schneider, J. Lansing, F. Gao, und A. Sunyaev. Proceedings of the 47th Hawaii International Conference on System Sciences (HICSS 2014), Big Island, Hawaii, USA, (Januar 2014)
B. Rimal, E. Choi, und I. Lumb. Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC, Seite 44--51. Washington, DC, USA, IEEE Computer Society, (2009)
H. Yoon, und H. Lee. Computers, Networks, Systems and Industrial Engineering (CNSI), 2011 First ACIS/JNU International Conference on, Seite 210-215. (Mai 2011)
M. Kim, H. Yoon, und H. Lee. Computers,Networks, Systems, and Industrial Engineering 2011, Volume 365 von Studies in Computational Intelligence, Springer Berlin Heidelberg, (2011)
E. Simmon, und R. Bohn. Concurrent Engineering Approaches for Sustainable Product Development in a Multi-Disciplinary Environment, Springer London, (2013)
S. Schork, A. Schwichtenberg, S. Alexakis, und G. Moldovan. Proceedings of the 12th International Conference on Availability, Reliability and Security, Seite 94:1--94:10. New York, NY, USA, ACM, (2017)
R. Krebs, C. Momm, und S. Kounev. Proceedings of the 2nd International Conference on Cloud Computing and Services Science (CLOSER 2012), SciTePress, (April 2012)
R. Krebs, C. Momm, und S. Kounev. Proceedings of the 2nd International Conference on Cloud Computing and Services Science (CLOSER 2012), SciTePress, (April 2012)
T. Dehling, F. Gao, und A. Sunyaev. Proceedings of the Pre-ICIS Workshop on Information Security and Privacy, Seite 1–16. Auckland, New Zealand, (Dezember 2014)