BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260408T022602Z UID:A5B94DC8-D552-4251-BBDB-2DC8E7E310B8 DTSTART;TZID=America/New_York:20260408T160000 DTEND;TZID=America/New_York:20260408T180000 DESCRIPTION:Dependable cloud computing is an increasingly important solutio n for providing services deployed in dynamically scalable cloud networks. Services in the cloud computing networks may be virtualized with specific servers which host abstracted details. Some of the servers are active and available\, while others are busy or heavy loaded\, and the remaining are offline for various reasons. Users would expect the right and available se rvers to complete their application requirements. Therefore\, in order to provide an effective control scheme with parameter guidance for cloud reso urce services\, failure detection is essential to meet users' service expe ctations. It can resolve possible performance bottlenecks in providing the virtual service for the cloud computing networks. Most existing Failure D etector (FD) schemes do not automatically adjust their detection service p arameters for the dynamic network conditions\, thus they couldn't be used for actual application.\n\nThis presentation explores FD properties with r elation to the actual and automatic fault-tolerant cloud computing network s\, and proposes three general analysis\n\nmethods to satisfy user require ments. Based on these general methods\, we propose some special and dynami c Failure Detector\, as a major breakthrough in the existing schemes. We c arry out actual and extensive experiments to compare the quality of servic e performance between our FDs and several other existing FDs. Our experime ntal results demonstrate that our scheme can adjust FD control parameters to obtain better services. Such FDs are adjusted in IBM cloud computing pl atform\, and hope to be extensively applied to industrial and commercial u sage.\n\nSpeaker(s): Dr. Neal Xiong\, \n\nRoom: 128\, Bldg: School of Engi neering\, Technology and Aeronautics\, 2500 North River Road\, Manchester\ , New Hampshire\, United States\, 03106 LOCATION:Room: 128\, Bldg: School of Engineering\, Technology and Aeronauti cs\, 2500 North River Road\, Manchester\, New Hampshire\, United States\, 03106 ORGANIZER:bbancroft@ieee.org SEQUENCE:10 SUMMARY:Dependable cloud computing URL;VALUE=URI:https://events.vtools.ieee.org/m/544035 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="margin-bottom: 0i n\; mso-pagination: none\; mso-layout-grid-align: none\; text-autospace: n one\;"><span style="font-family: Helvetica\; mso-bidi-font-family: Helveti ca\;">Dependable cloud computing is an increasingly important solution for providing services deployed in dynamically scalable cloud networks. Servi ces in the cloud computing networks may be virtualized with specific serve rs which host abstracted details. Some of the servers are active and avail able\, while others are busy or heavy loaded\, and the remaining are offli ne for various reasons. Users would expect the right and available servers to complete their application requirements.&nbsp\;Therefore\,&nbsp\;in or der to&nbsp\;provide an effective control scheme with parameter guidance f or cloud resource services\, failure detection is essential to meet users' service expectations. It can resolve possible performance bottlenecks in providing the virtual service for the cloud computing networks. Most exist ing Failure Detector (FD) schemes do not automatically adjust their detect ion service parameters for the dynamic network conditions\, thus they coul dn't be used for actual application.&nbsp\;</span></p>\n<p class="MsoNorma l" style="margin-bottom: 0in\; mso-pagination: none\; mso-layout-grid-alig n: none\; text-autospace: none\;"><span style="font-family: Helvetica\; ms o-bidi-font-family: Helvetica\;">&nbsp\;</span></p>\n<p class="MsoNormal" style="margin-bottom: 0in\; mso-pagination: none\; mso-layout-grid-align: none\; text-autospace: none\;"><span style="font-family: Helvetica\; mso-b idi-font-family: Helvetica\;">This presentation explores FD properties wit h relation to the actual and automatic fault-tolerant cloud computing netw orks\, and proposes three general analysis</span></p>\n<p class="MsoNormal " style="margin-bottom: 0in\; mso-pagination: none\; mso-layout-grid-align : none\; text-autospace: none\;"><span style="font-family: Helvetica\; mso -bidi-font-family: Helvetica\;">methods to satisfy&nbsp\;user requirements . Based on these general methods\, we propose some special and dynamic Fai lure Detector\, as a major breakthrough in the existing schemes. We carry out actual and extensive experiments to compare the quality of service per formance between our FDs and several other existing FDs. Our experimental results demonstrate that our scheme can adjust FD control parameters to ob tain better services.&nbsp\;&nbsp\;Such FDs are adjusted in IBM cloud comp uting platform\, and hope to be&nbsp\;extensively applied to industrial an d commercial usage.</span></p> END:VEVENT END:VCALENDAR