Cloud computing is a hot topic in the technology world these days. Even if you're not a tech-phile, chances are if you've watched a lot of television or skimmed a business magazine, you've heard someone talking about cloud computing as the way of the future. While it's difficult to predict the future, a new cloud computing infrastructure is demonstrating that cloud computing's potential is being realized now.
Als Marktführer bei den x86-Servern setzt auch HP auf das Thema Cloud Computing und schnürt dafür ein spezielles Offerten-Bündel aus Geräten, Software und Dienstleistungen.
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Several years ago, a new buzzword entered the fray of internet speak: The Cloud. In the past, I've written critically about cloud computing, and my reservations
The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing, including:
* Hadoop Core, our flagship sub-project, provides a distributed filesystem (HDFS) and support for the MapReduce distributed computing framework.
* HBase builds on Hadoop Core to provide a scalable, distributed database.
* Pig is a high-level data-flow language and execution framework for parallel computation. It is built on top of Hadoop Core.
* ZooKeeper is a highly available and reliable coordination system. Distributed applications use ZooKeeper to store and mediate updates for critical shared state.
* Hive is a data warehouse infrastructure built on Hadoop Core that provides data summarization, adhoc querying and analysis of datasets.
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.
Talis Connected Commons The Talis Connected Commons scheme is intended to directly support the publishing and reuse of Linked Data in the public domain by removing the costs associated with those activities. The scheme is intended to support a wide range of different forms of data publishing. For example scientific researchers seeking to share their research data
S. Tuli, G. Casale, and N. Jennings. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, London, United Kingdom, May 2-5, 2022, page 670--679. IEEE, (2022)
J. Eberle, M. Schwinger, and H. Zwenzner. Proceedings of the 2021 conference on Big Data from Space, page 89--92. Publications Office of the European Union, (May 2021)
J. Eberle, M. Schwinger, and H. Zwenzner. Proceedings of the 2021 conference on Big Data from Space, page 89--92. Publications Office of the European Union, (May 2021)
J. Eberle, M. Schwinger, and H. Zwenzner. Proceedings of the 2021 conference on Big Data from Space, page 89--92. Publications Office of the European Union, (May 2021)