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VERSION:2.0
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CALSCALE:GREGORIAN
X-WR-CALNAME:PHD Proposal Defense Dixit Bhatta
X-WR-TIMEZONE:Eastern Time (US & Canada)
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DTSTAMP:20260612T080512Z
UID:tag:localist.com\,2008:EventInstance_36590959346034
DTSTART:20210503T193000Z
DTEND:20210503T203000Z
DESCRIPTION:Efficient Cloudlet placement approaches for Edge Computing Syst
 ems \n\n \n\nAbstract: \n\nEmerging applications with low-latency requirem
 ents such as real-time analytics\, immersive media applications\, and inte
 lligent virtual assistants have rendered Edge Computing as a critical comp
 uting infrastructure. Since large data centers cannot be placed everywhere
 \, placing cloudlets nearby the users provides an effective solution to th
 ese requirements. Existing studies have explored the cloudlet placement pr
 oblem in a homogeneous scenario with different goals such as latency minim
 ization\, load balancing\, energy efficiency\, and placement cost minimiza
 tion. However\, placing cloudlets in a highly heterogeneous deployment sce
 nario considering the next-generation 5G networks and IoT applications is 
 still an open challenge. \n\n \n\nThe goal of this research proposal is to
  specifically tackle strategic placement of cloudlets to reduce costs asso
 ciated with providing edge services as well as improving metrics important
  to the users such as coverage and access latency. These problems are sign
 ificantly challenging because the cloudlets have limited capacities wherea
 s users have dynamic demands. Moreover\, both users and cloudlets can be h
 eterogeneous. As we move into 5G networks and IoT\, the placements need to
  be done in even denser and highly heterogeneous scenarios. Another challe
 nging aspect is the continuous user mobility. These several placement chal
 lenges in edge computing systems are hence addressed by mathematically mod
 eling diverse placement scenarios based on real-life constraints. However\
 , the complexities of these problems make the mathematical models inherent
 ly NP-hard\, even with the simplifying assumptions. As a result\, the core
  of the research lies at solving these problems by designing efficient and
  scalable solution approaches.
LOCATION:
SUMMARY:PHD Proposal Defense Dixit Bhatta
URL;VALUE=URI:https://events.udel.edu/event/phd_proposal_defense_-_dixit_bh
 atta
CATEGORIES:Academics
CATEGORIES:College of Engineering
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