CfP: Europar 2010

{\rtf1\ansi\ansicpg1252\cocoartf949\cocoasubrtf540 {\fonttbl\f0\fswiss\fcharset0 Helvetica;} {\colortbl;\red255\green255\blue255;} \paperw11900\paperh16840\margl1440\margr1440\vieww9000\viewh8400\viewkind0 \pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\ql\qnatural\pardirnatural \f0\fs24 \cf0 CALL FOR PAPERS\ \ Topic 5: Parallel and Distributed Data Management\ Euro-Par 2010, Ischia, Italy, Aug.31st-Sep.3rd, 2010\ Abstracts due: January 31st, 2010\ Papers due: February 7th, 2010\ http://www.europar2010.org/\ \ The manipulation and handling of an ever increasing volume of \ data by current data-intensive applications requires novel \ techniques for efficient data management. Despite recent \ advances in every aspect of data management (storage, access, \ querying, analysis, mining), future applications are expected \ to scale to even higher degrees, not only in terms of volumes \ of data handled but also in terms of users and resources, often \ making use of multiple, pre-existing autonomous, distributed \ or heterogeneous resources. The notion of parallelism and \ concurrent execution at all levels remains a key element in \ achieving scalability and managing efficiently such data-intensive \ applications, but the changing nature of the underlying environments \ requires new solutions to cope with such changes.\ \ In this context, this topic seeks papers in all aspects of data \ management (including databases and data-intensive applications) \ whose focus relates to some form of parallelism and concurrency.\ \ Focus:\ * Parallel, replicated, and distributed databases\ * Data-intensive grids and clouds\ * Parallel and distributed algorithms for data mining\ * Middleware for processing large-scale data\ * Distributed and parallel transaction and query processing\ * Parallel file systems\ * Distributed storage systems\ * Sensor network data management\ * Mobile data management\ * Scalable web services\ * Data management in P2P systems\ * Parallel data streaming\ * Parallel and distributed information retrieval\ * Parallel and distributed knowledge discovery\ * Communication for large data sets\ * Data-intensive applications\ * Parallel and distributed data integration\ * Parallel algorithms for security and privacy in data management\ \ }