PDPTA'07
International Workshop on Scalable Data Management Applications and Systems (SDMAS)
within
The 2007 International Conference on Parallel and Distributed Processing Techniques and Applications
Las Vegas Nevada, USA (June, 25-28 2007)
Best papers to be published in Journal of Supercomputing
 
Home Page
 
 
Call for papers
Topics
Committee
Publication
Submission
 
 
IMPORTANT DATES
Deadline extended
Papers due: March, 1, 2007
Notification: Mar. 20, 2007
 
 
NEXT WORKSHOPS
SDMAS'08
SDMAS'09
SDMAS'10

Topics

Particular areas of interest include, but are not limited to:
  • Storage Technology and protocols including both hardware and software elements.
    • Magnetic storage, network storage, optical storage, fibre channel, iSCSI, SAN, NASD, Storage security, disaster recovery, Environmental (power, cooling, structural, etc) concerns/issues, etc.
  • Storage issues in Parallel and distributed systems.
    • Massively parallel storage architectures, data and meta-data consistency, allocation and utilization strategies for exploiting parallel and distributed memory, cluster file systems, Ad-hoc parallel file systems, parallel I/O architectures, distributed file systems, etc.
  • Storage issues in Grid computing environments.
    • I/O interfaces and formats, new topics on I/O architectures for grids, I/O middleware in grids, parallel and Wide-Area File Systems, global file systems, data replication, reliability, I/O performance, I/O and scheduling, etc.
  • Storage issues in peer-to-peer storage environments.
    • Unstructured routing and file sharing, distributed file systems, searching and querying, resource location, replication strategies, multimedia streaming, XML stores, etc.
  • Storage issues associated with large-scale distributed applications.
    • Content management and data mining in large storage systems and networks, new trends in very large clusters file systems, system architectures deployed in very large scale systems, Tools to manage large systems, archive strategies, network connectivity within the data center and with external sites.
  • Parallel and distributed databases.
    • OLAP, replication schemes, optimal data allocation, multidimensional analysis, access patterns, data declustering, Client Caching Data Management Systems, index distribution schemes, etc.
  • Performance evaluation: benchmarking of data management systems.
    • Benchmarking of data management systems, I/O benchmarks, performance under faulty conditions, performance tuning, tests of products, I/O optimization techniques for scientific and business applications, etc.
  • Reliability and availability of storage systems.
    • Fault tolerance mechanisms, impact of replication on reliability, reliability and availability modelling, highly available storage systems, ...
  • Data management applications.
    • Data mining, bioinformatics, simulations, geographical information systems, image processing, Web retrieval, checkpointing, astrophysics, particle physics, etc.

COMPUTER ARCHITECTURE, COMMUNICATIONS AND SYSTEMS GROUP
This page is maintained by José Daniel García
Last updated Monday, 03-Oct-2011 12:53:05 CEST