Project description
Scalable data analytics
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.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2013-11
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
70 013 IRAKLEIO
Greece
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.