25 Aug

Consortium

The Foundation for Research and Technology – Hellas (FORTH) is an internationally acknowledged research center, its Institute of Computer Science (FORTH-ICS) ranked first among all Greek institutes in its field in two national evaluation rounds. The CARV laboratory of FORTH-ICS has a 25-year history in architecture, hardware, and systems software research, with fundamental contributions in cluster computing, inter-processor communication, scalable systems, I/O subsystems, infrastructure services engineering, parallel and distributed algorithms, and parallel programming languages. FORTH currently coordinates approximately 30 FP7 projects. Within ASAP, FORTH leads the development of the analytics engine as well as the system integration, and coordinates the consortium.

  • Role. Runtime systems, programming models, scheduling, scalability, execution engines
  • Key Personnel. Polyvios Pratikakis

The Université de Genève (UNIGE) participates in the project with the Institute of Services Science (ISS), part of the Centre Universitaire d’Informatique (CUI), an inter-faculty center dealing with different aspects of computing. This multidisciplinary aspect is concretized by signifi-cant applications, important publications and several projects in areas as far as Hu-manities and Biotechnology, Wireless Communication and Services Sciences, Virtual Reality and Software Engineering, Multimedia and Computer Vision. The CUI members have participated in and led numerous EU research projects. The role of the University of Geneva in ASAP is to lead the research on the adaptation of data ana-lytics, through the management of user query workflows input to the system.

  • Role. Data storage, query planning, query execution monitoring, query adaptation
  • Key Personnel. Verena Kantere

The Institute of Communication and Computer Systems (ICCS) is one of the largest research laboratories in the Computer Science Department of the School of Electrical and Computer Engineering, National Technical University of Athens. It employs experienced staff in administration, training, consulting and development covering aspects of large-scale high performance computing, and networking and storage technology. ICCS has large involvement in several national and European research projects and possesses a strong expertise in data management aspects of large scale distributed systems. ICCS undertakes the role of the Technical Coordinator in the project and leads the design and implementation of the central Intelligent Resource Scheduling (IReS) platform that models, decides and schedules analytics jobs.

  • Role. Data storage, query scheduling, cost modeling, elasticity
  • Key Personnel. Dimitrios Tsoumakos, Katerina Doka

The Queen’s University Belfast (QUB), established in 1845, is the 9th oldest university in the UK and a member of the Russell Group, the Ivy League of the top research-driven universities in the UK. The activities of ASAP are hosted at the High Performance and Distributed computing (HPDC) Research Cluster. Cluster expertise spans all layers of system software (languages, compilers, runtime systems, OS/virtualization framework), workload characterization, parallel foundations of concurrency, and infrastructure support for large-scale, data-intensive applications. The role of QUB in the ASAP project was to lead the definition of the unified programming language that can be used productively by data analysts to express algorithms in data analytics.

  • Role. Programming models, runtime systems, execution engines, scheduling, high performance computing
  • Key Personnel. Hans Vandierendonck, Dimitrios Nikolopoulos

Internet Memory Research (IMR) is a spinoff of the Internet Memory Foundation dedicated to Web archiving and Web-scale extraction of information for professional use. In addition to its archiving services, IMR develops tools to collect and extract information at a large scale (mil-lions of sites and social networks) for professional Web intelligence applications. While currently crawling dozens of terabytes of data per month, IMR plans to scale to petabytes in the near future. IMR team members have extensive experience in FP6 and FP7 projects. This includes the STREP projects LIWA and LAWA on large scale web analytics for research, and the FET IP Living Knowledge. The ASAP pro-ject supports the development of concurrent and continuous Web content analytics, to be integrated in the Mignify.com platform.

  • Role. Web analytics, datacenter infrastructure, analytics engineering, stream analytics
  • Key Personnel. Philippe Rigaux

WIND Telecomunicazioni (WIND) is part of the VimpelCom Group, the 5th largest mobile TLC operator in the world. In 2016, Wind Telecomunicazioni SpA and H3G SpA executed a merger, changing their corporate name to Wind Tre SpA – following the 50/50 joint venture created by CK Hutchison and VimpelCom. Wind Tre is the leading mobile telecom operator in Italy, with over 31 million mobile customers and 2.7 million in the fixed line. Wind Tre owns and manages a vast amount of data originating from millions of daily streams. It uses these data to optimize services, detect anomalies and improve the network. The ASAP framework supports these tasks and improves Wind Tre’s capabilities in dealing with new kinds of innovative applications based on the knowledge arising from big data. Wind Tre harvested its expertise in telecommu-nications data management and analytics to lead the efforts in WP9 “Applications: Telecommunication Data Analytics”, and contributed to the dissemination/exploitation and system requirements tasks of the project.

  • Role. Telecommunications analytics, marketing analytics, analytics engineering, datacenter infrastructure
  • Key Personnel. Maria Rita Spada, Roberto Bertoldi

webLyzard technology (WLT) provides advanced Web intelligence services to analyze the perceptions of stakeholders (customers, journalists, policy makers, etc.). Real-time content feeds from news and social media contribute to an evolving knowledge repository, accessible via an award-winning media analytics dashboard. The dashboard enables decision makers to identify relevance and sentiment of online content, measure brand reputation, and apply advanced communication success metrics. Innovations from the ASAP research project will enable novel use cases and extend the capabilities of existing applications such as the UNEP Live Web Intelligence  platform and the se-mantic search of the U.S. Climate Resilience Toolkit.

  • Role. Data visualization, query monitoring and visualization, analytics engineering
  • Key Personnel. Arno Scharl, Albert Weichselbraun

Project Summary

The ASAP FP7 Research Project develops a dynamic open-source execution framework for scalable data analytics, and applies this framework to two use cases focusing on Web content and telecommunications data. ASAP assumes that no single execution model is suitable for all types of tasks, and no single data model (and store) is suitable for all types of data.

Acknowledgement

This project receives funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement number 619706.


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