BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20190310T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20181104T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20181231T225610Z UID:AED7FF5C-E147-4312-BFD5-2DD545881CB2 DTSTART;TZID=US/Eastern:20181218T140000 DTEND;TZID=US/Eastern:20181218T152500 DESCRIPTION:Clean and Efficient Dynamic Provisioning in Green Cloud Data Ce nters\n\nJing Bi\, Ph.D. & Associate Professor\n\nSchool of Software Engin eering\, Faculty of Information Technology\, Beijing University of Technol ogy\, Beijing\, China\n\nPlace: ECEC 202\n\nTime: 2pm\, December 18\, 2018 \n\nCloud computing is growingly used by companies\, governments and organ izations. It is usually implemented in data centers where there are millio ns of servers and cooling facilities. An increasing number of users send t heir tasks to large-scale green cloud data centers (GCDCs) (e.g.\, Amazon and Google)\, and this significantly increases the amount of energy consum ption. This talk introduces some emerging progress made in this field and emerging challenges on how to realize various clean and efficient dynamic provisioning methods for applications in GCDCs\, including: (1) workload p rediction for efficiency dynamic resource provisioning\; (2) economic elec tric power network and workload scheduling for profit maximization\; an d (3) open research problems\, directions and outlooks for future studies.\n \nJing Bi received her B.S.\, M.S. and Ph.D. degrees in Computer Science f rom Northeastern University\, Shenyang\, China. She is currently an Associ ate Professor with the School of Software Engineering\, Faculty of Informa tion Technology\, Beijing University of Technology\, Beijing\, China. She is currently also a visiting research scholar with the Department of Elect rical and Computer Engineering\, New Jersey Institute of Technology (NJIT) \, Newark\, NJ. She was a Post-doc researcher at Department of Automation\ , Tsinghua University\, Beijing\, China. She was a research scientist at t he Beijing Research Institute of Electronic Engineering Technology\, Beiji ng\, China. She was a research assistant and participated in research on c loud computing at the IBM Research-China. Her research interests are in di stributed computing\, cloud computing\, large-scale data analytics\, machi ne learning and performance optimization. She has over 60 publications inc luding journal and conference papers. Dr. Bi was the recipient of IBM Ph.D . Fellowship Award. She is a Senior Member of the IEEE.\n\nSpeaker(s): Jin g Bi\, \n\n323 BLK Blvd\, Newark\, New Jersey\, United States\, 07102-1982 LOCATION:323 BLK Blvd\, Newark\, New Jersey\, United States\, 07102-1982 ORGANIZER:zhou@njit.edu SEQUENCE:0 SUMMARY:SMC Seminar on Clean and Efficient Dynamic Provisioning in Green Cl oud Data Centers URL;VALUE=URI:https://events.vtools.ieee.org/m/186246 X-ALT-DESC:Description: <br /><p>Clean and Efficient Dynamic Provisioning i n Green Cloud Data Centers</p>\n<p><strong>Jing Bi\, Ph.D. &amp\; Associat e Professor</strong></p>\n<p>School of Software Engineering\, Faculty of I nformation Technology\, Beijing University of Technology\, Beijing\, China </p>\n<p><strong><br /> Place: ECEC 202</strong></p>\n<p><strong>Time: 2pm \, December 18\, 2018</strong></p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<p>Clo ud computing is growingly used by companies\, governments and organization s. It is usually implemented in data centers where there are millions of s ervers and cooling facilities. An increasing number of users send their ta sks to large-scale green cloud data centers (GCDCs) (e.g.\, Amazon and Goo gle)\, and this significantly increases the amount of energy consumption. This talk introduces some emerging progress made in this field and emergin g challenges on how to realize various clean and efficient dynamic provisi oning methods for applications in GCDCs\, including: (1) workload predicti on for efficiency dynamic resource provisioning\; (2) economic electric po wer network and workload scheduling for profit maximization\; an d (3) ope n research problems\, directions and outlooks for future studies.</p>\n<p> &nbsp\;</p>\n<p><strong>Jing Bi</strong> received her B.S.\, M.S. and Ph.D . degrees in Computer Science from Northeastern University\, Shenyang\, Ch ina. She is currently an Associate Professor with the School of Software E ngineering\, Faculty of Information Technology\, Beijing University of Tec hnology\, Beijing\, China. She is currently also a visiting research schol ar with the Department of Electrical and Computer Engineering\, New Jersey Institute of Technology (NJIT)\, Newark\, NJ. She was a Post-doc research er at Department of Automation\, Tsinghua University\, Beijing\, China. Sh e was a research scientist at the Beijing Research Institute of Electronic Engineering Technology\, Beijing\, China. She was a research assistant an d participated in research on cloud computing at the IBM Research-China. H er research interests are in distributed computing\, cloud computing\, lar ge-scale data analytics\, machine learning and performance optimization. S he has over 60 publications including journal and conference papers. Dr. B i was the recipient of IBM Ph.D. Fellowship Award. She is a Senior Member of the IEEE.</p> END:VEVENT END:VCALENDAR