Please use this identifier to cite or link to this item:
Title: Distributed system for time-sensitive applications with multiple execution options (MEO)
Authors: Lim, Jia En
Keywords: Engineering::Computer science and engineering::Computer systems organization::Computer system implementation
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Lim, J. E. (2022). Distributed system for time-sensitive applications with multiple execution options (MEO). Final Year Project (FYP), Nanyang Technological University, Singapore.
Abstract: Cloud Computing is enabling the consolidation of millions of applications on shared infrastructures due to its wide application. So many applications share common resources, making it increasingly difficult to meet their quality of service (QoS) needs. Aside from that, the characteristics and workload of different applications change over time, which further complicates the system. As part of this study, two online QoS aware adaptive task allocation schemes are developed and compared to demonstrate that the experimental system can exploit a variety of online QoS aware adaptive task allocation schemes. They are mainly, ‘Opportunistic Load Balancing’ and ‘Shortest Job First’ Virtual Machine (VM) Provisioning Scheme. They are allocation-driven algorithms that send jobs to subsystems that provide lower response times. After that, the algorithm divides the stream of job arrivals into sub-streams. The aim of these schemes is to achieve higher resource utilization and system benefits by carefully balancing resource usage efficiency, input workloads, & request deadlines.
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP Report.pdf
  Restricted Access
Final Year Project Report1.63 MBAdobe PDFView/Open

Page view(s)

Updated on Apr 10, 2024

Download(s) 50

Updated on Apr 10, 2024

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.