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Deep Tech INNOVATION
Scalable Visualization Platform
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Market Maturity: Business Ready
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Market Creation Potential
This innovation was assessed by the JRC’s Market Creation Potential indicator framework as addressing the needs of existing markets and existing customers. Learn more
Go to Market needs
Needs that, if addressed, can increase the chances this innovation gets to (or closer to) the market incude:
  • Scale-up market opportunities
Location of Key Innovators developing this innovation
Key Innovators
The EU-funded Research Project
This innovation was developed under the FP7 project ASAP with an end date of 28/02/2017
  • Read more about this project on CORDIS
Description of Project ASAP
This project proposes a unified, open-source execution framework for scalable data analytics. Data analytics tools have become essential for harnessing the power of our era's data deluge. Current technologies are restrictive, as their efficacy is usually bound to a single data and compute model, often depending on proprietary systems. The main idea behind ASAP is 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. The project makes the following innovative contributions: (a) A general-purpose task-parallel programming model. The runtime will incorporate and advance state-of-the-art task-parallel programming models features, namely: (i) irregular general-purpose computations, (ii) resource elasticity, (iii) synchronization, data-transfer, locality and scheduling abstraction, (iv) ability to handle large sets of irregular distributed data, and (v) fault-tolerance. (b) A modeling framework that constantly evaluates the cost, quality and performance of data and computational resources in order to decide on the most advantageous store, indexing and execution pattern available. (c) A unique adaptation methodology that will enable the analytics expert to amend the task she has submitted at an initial or later stage. (d) A state-of-the-art visualization engine that will enable the analytics expert to obtain accurate, intuitive results of the analytics tasks she has initiated in real-time. Two exemplary applications that showcase the ASAP technology in the areas of Web content and large-scale business analytics will be developed. The consortium -- led by the Foundation for Research & Technology -- is well-positioned to achieve its objectives by bringing together a team of leading researchers in data-management technologies. These are combined with active industrial and leading user organizations that offer expertise in the production-level domain of data analytics.

Innnovation Radar's analysis of this innovation is based on data collected on 26/04/2017.
The unique id of this innovation in the European Commission's IT systems is: 12435