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TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20250309T030000 RDATE:20251102T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20260308T030000 RDATE:20261101T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20270314T030000 RDATE:20271107T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20280312T030000 RDATE:20281105T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20290311T030000 RDATE:20291104T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20300310T030000 RDATE:20301103T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20310309T030000 RDATE:20311102T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20320314T030000 RDATE:20321107T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20330313T030000 RDATE:20331106T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20340312T030000 RDATE:20341105T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:583d132d5bb0767ed80906ea10aefe03 CATEGORIES:PhD Defense CREATED:20190823T084027 SUMMARY:Staging-Based Data Management for Extreme Scale Coupled Scientific Workflows LOCATION:CoRE A (301) DESCRIPTION;ENCODING=QUOTED-PRINTABLE:
Advanced scientific workflows running at extreme scale on high end compu ting platforms are providing new capabilities and new opportunities for ins ights in a wide range of application domain. These workflows compose multip le simulation, data analysis and other application components that require data sharing and exchange at runtime. However, due to the increasing data v olumes and associated I/O costs, the traditional disk I/O-base approach for data sharing between the components of these workflows is becoming infeasi ble. Recently, in memory data staging has emerged as an attractive approach to address these challenges. The increasing systems scales, the overall co mplexity of current scientific workflows, as well as the complexity of the coupling and coordination behaviors between workflow components are present ing several new data management challenges that are impacting the effective ness and efficiency of staging-base solutions. This thesis addresses in-sta ging data management challenges to enable effective and efficient staging-b ased scientific workflows, including (1) query-driven analytics workflows ( 2) workflows with dynamic runtime behaviors (3) asynchronous coupling of ta sk-based scientific workflows. The research components have been prototyped and experimentally evaluated using real application workflows on current h igh end computing systems, and their effectiveness and performance is demon strated.
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