Objective
The advent of cloud computing comprises a new paradigm that entails a large number of low-end processors that perform parallel processing of (usually data-intensive and resource-demanding) computing jobs. This is particularly appealing for a wide variety of data-intensive applications, including scientific data management, analysis and mining of complex data, and internet-scale service provisioning. Nevertheless, processing complex queries in the cloud is still in a primitive stage, largely relying on the concept of map-reduce, without inherent indexing mechanisms that can boost the performance of query processing. In contrast, database research prides itself on scalable techniques for advanced query processing.
CloudIX intends to transfer knowledge from data management technology to the cloud infrastructure, in order to support advanced query processing. To this end, CloudIX aims to propose a generic, distributed, dynamic and adaptive indexing framework for handling multidimensional data in the cloud. Capitalizing on this indexing infrastructure, CloudIX will present novel efficient algorithms for processing advanced query types, such as range, nearest-neighbor, top-k, rank joins, and skyline queries. Furthermore, CloudIX will propose new economical cost models that need to be tightly integrated in the process of query optimization.
The research results of CloudIX are expected to act as a catalyst that attracts applications that rely on advanced query processing to be moved to the cloud. As a showcase scenario, two applications will be deployed on top of CloudIX, one related with scientific data management, to demonstrate the feasibility and efficiency of the proposed framework.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences databases
- natural sciences chemical sciences catalysis
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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-PEOPLE-2010-IEF
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
7491 Trondheim
Norway
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.