By using Apache Hadoop cluster, we are able to process huge amount of data, we can run typical Big Data applications using MapReduce framework. The tutorial, which is available on the MTA Cloud's official website (https://cloud.mta.hu/apache-hadoop-klaszter-kiepitese), sets up a complete Apache Hadoop infrastructure with the help of Occopus orchestration tool. The built-in Apache Hadoop architecture will be established using Occopus tool, so we need to install Occopus first.
ApertusVR is a MIT licensed, open source, platform independent programmers library, which delivers a new perspective of integration of virtual reality and augmented reality technologies on fields such as research, industry, or application design. Due to the scalability, and distributed approach, the applications developed with ApertusVR are easy to couple with already existent applications, without to re-align them according to the present market VR frameworks.
Cloud-based Big Data and Machine Learning applications are becoming increasingly popular in the industry, also in academic and education sectors. In many cases, clouds are used to support the computation and storage needs of such applications by building and managing multi-VM virtual infrastructures (clusters) using some cloud-based system (IaaS), temporarily or for a longer period of time, respectively.
Data Avenue is a data storage management service that enables to access different types of storage resources (including S3, sftp, GridFTP, iRODS, SRM servers) using a uniform interface. The provided REST API allows of performing all the typical storage operations such as creating folders/buckets, renaming or deleting files/folders, uploading/downloading files, or copying/moving files/folders between different storage resources, respectively, even simply using 'curl' from command line.
Intensification of competition and developments such as market-driven and customer-focused supply chains forced companies to become parts of complex production and logistics networks, instead of producing in isolation. In the future only companies will be competitive which are capable of ensuring the effectiveness of their entire supply chain. To achieve a competitive edge and shorter time to market, companies will need to develop comprehensive new logistics concepts and create a greater openness of their systems environment.
Flowbster is a new cloud-oriented workflow system. It was designed to create efficient data pipelines in clouds by which very large data sets can efficiently be processed. The Flowbster workflow can be deployed in the target cloud as a virtual infrastructure through which the data to be processed can flow and meanwhile it flows through the workflow it is transformed as the business logic of the workflow defines it. The Flowbster workflow can be deployed in the target cloud on-demand based on the underlying Occopus cloud deployment and orchestrator tool.
Customer-driven order fulfilment should be the core competence of any business. To fully meet customer demands the factors of production, including human and manufacturing resources, material and information, must be managed. A critical issue is the increasing number of product variants and shrinking lot sizes, which massively increase the complexity and number of orders to be processed.
The Laboratory can help you to avoid disturbances, and eliminate excess inventory, long lead times and high personnel- and IT costs.
Customer-oriented manufacturing companies need production planning tools that help them to fulfill orders in a fast and flexible way. At the same time, these tools should keep production costs as low as possible, and eliminate all the unnecessary fluctuations of the production load. These challenges can only be met if companies exploit state-of-the-art planning technologies to their full potential. Planning tools must perform real optimization, and generate production plans in an efficient, automated, and reproducible way.