{"id":533,"date":"2016-10-18T16:46:20","date_gmt":"2016-10-18T14:46:20","guid":{"rendered":"https:\/\/project.inria.fr\/dalhis\/?page_id=533"},"modified":"2017-11-19T15:17:21","modified_gmt":"2017-11-19T14:17:21","slug":"dalhis-2013-2016","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/dalhis\/home\/dalhis-2013-2016\/","title":{"rendered":"DALHIS 2013 -2015"},"content":{"rendered":"<p style=\"text-align: left;\"><span style=\"color: #000000;\">The objective of the first 3 years of the collaboration was to create a software ecosystem to facilitate seamless data analysis across desktops,\u00a0HPC and cloud environments. Specifically, <strong>our goal was to build a dynamic software stack\u00a0that is user-friendly, scalable, energy-efficient and fault tolerant<\/strong>.<\/span><\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/project.inria.fr\/dalhis\/files\/2011\/12\/stack.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter\" title=\"stack\" src=\"https:\/\/project.inria.fr\/dalhis\/files\/2011\/12\/stack-1024x858.jpg\" alt=\"\" width=\"404\" height=\"337\" \/><\/a><\/p>\n<h1 style=\"text-align: left;\">Research areas<\/h1>\n<table border=\"0\">\n<tbody>\n<tr>\n<td>\n<ul>\n<li><span style=\"font-size: medium; color: #000000;\">A\u00a0<strong>programming environment<\/strong>\u00a0for scientific data analysis workflows. An integrated capability that will allow users to easily compose their workflows in a programming environment\u00a0such as Python and execute them on diverse high-performance computing (HPC) and\u00a0cloud resources.<\/span><\/li>\n<li><span style=\"font-size: medium; color: #000000;\">An<strong>\u00a0adaptive orchestration layer<\/strong>. An orchestration layer for coordinating resource and application characteristics. The adaptation model will use real-time data mining to support\u00a0elasticity, fault-tolerance, energy efficiency and provenance.<\/span><\/li>\n<li><span style=\"font-size: medium; color: #000000;\"><strong>Infrastructure support for HPC, clusters and cloud systems<\/strong>. Research that will determine how to provide execution environments that allow users to seamlessly execute their\u00a0dynamic data analysis workflows in various research environments and scales.<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>The objective of the first 3 years of the collaboration was to create a software ecosystem to facilitate seamless data analysis across desktops,\u00a0HPC and cloud environments. Specifically, our goal was to build a dynamic software stack\u00a0that is user-friendly, scalable, energy-efficient and fault tolerant. Research areas A\u00a0programming environment\u00a0for scientific data analysis workflows. An integrated capability that &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"https:\/\/project.inria.fr\/dalhis\/home\/dalhis-2013-2016\/\">Continue reading<\/a><\/p>\n","protected":false},"author":267,"featured_media":0,"parent":4,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_members_access_role":[],"_members_access_error":""},"class_list":["post-533","page","type-page","status-publish","hentry","nodate","item-wrap"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/dalhis\/wp-json\/wp\/v2\/pages\/533","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/dalhis\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/dalhis\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/dalhis\/wp-json\/wp\/v2\/users\/267"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/dalhis\/wp-json\/wp\/v2\/comments?post=533"}],"version-history":[{"count":5,"href":"https:\/\/project.inria.fr\/dalhis\/wp-json\/wp\/v2\/pages\/533\/revisions"}],"predecessor-version":[{"id":541,"href":"https:\/\/project.inria.fr\/dalhis\/wp-json\/wp\/v2\/pages\/533\/revisions\/541"}],"up":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/dalhis\/wp-json\/wp\/v2\/pages\/4"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/dalhis\/wp-json\/wp\/v2\/media?parent=533"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}