{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T02:10:15Z","timestamp":1738030215056,"version":"3.33.0"},"reference-count":4,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2009,9,9]],"date-time":"2009-09-09T00:00:00Z","timestamp":1252454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The International Journal of High Performance Computing Applications"],"published-print":{"date-parts":[[2009,11]]},"abstract":"<jats:p> \u201cExascale eScience infrastructures\u201d will face important and critical challenges, both from computational and data perspectives. Increasingly complex and parallel scientific codes will lead to the production of a huge amount of data. The large volume of data and the time needed to locate, access, analyze and visualize data will greatly impact on the scientific productivity of scientists and researchers in several domains. Significant improvements in the data management field will increase research productivity in solving complex scientific problems. Next-generation eScience infrastructures will start from the assumption that exascale high-performance computing (HPC) applications (running on million of cores) will generate data at a very high rate (terabytes\/s). Hundreds of exabytes of data (distributed across several centers) are expected, by 2020, to be available through heterogeneous storage resources for access, analysis, post-processing and other scientific activities. <\/jats:p>","DOI":"10.1177\/1094342009347702","type":"journal-article","created":{"date-parts":[[2009,9,10]],"date-time":"2009-09-10T00:35:24Z","timestamp":1252542924000},"page":"398-400","source":"Crossref","is-referenced-by-count":14,"title":["Towards Exascale Distributed Data Management"],"prefix":"10.1177","volume":"23","author":[{"given":"Giovanni","family":"Aloisio","sequence":"first","affiliation":[{"name":"EURO-MEDITERRANEAN CENTRE FOR CLIMATE CHANGE (CMCC),\rAND UNIVERSITY OF SALENTO, ITALY,"}]},{"given":"Sandro","family":"Fiore","sequence":"additional","affiliation":[{"name":"EURO-MEDITERRANEAN CENTRE FOR CLIMATE CHANGE (CMCC),\rAND UNIVERSITY OF SALENTO, ITALY,"}]}],"member":"179","published-online":{"date-parts":[[2009,9,9]]},"reference":[{"volume-title":"Whitepaper on the Major Computer Science Challenges at Exascale","year":"2009","author":"Al Geist, Ornl","key":"atypb1"},{"key":"atypb2","unstructured":"Visualization and Knowledge Discovery - Report from the DOE\/ASCR Workshop on Visual Analysis and Data Exploration at Extreme Scale, October 2007"},{"key":"atypb3","unstructured":"The Office of Science Data-Management Challenge - Report from the DOE Office of Science Data-Management Workshops, March-May 2004"},{"key":"atypb4","unstructured":"Workshop on Mathematics for Analysis of Petascale Data - Report on a Department of Energy Workshop, June 2008"}],"container-title":["The International Journal of High Performance Computing Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1094342009347702","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1094342009347702","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T01:44:12Z","timestamp":1738028652000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/1094342009347702"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,9,9]]},"references-count":4,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2009,11]]}},"alternative-id":["10.1177\/1094342009347702"],"URL":"https:\/\/doi.org\/10.1177\/1094342009347702","relation":{},"ISSN":["1094-3420","1741-2846"],"issn-type":[{"type":"print","value":"1094-3420"},{"type":"electronic","value":"1741-2846"}],"subject":[],"published":{"date-parts":[[2009,9,9]]}}}