Distributed system for time-sensitive applications with multiple execution options (MEO)
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 worklo...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/162842 |
| _version_ | 1826122490680705024 |
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| author | Lim, Jia En |
| author2 | Arvind Easwaran |
| author_facet | Arvind Easwaran Lim, Jia En |
| author_sort | Lim, Jia En |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T05:49:20Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/162842 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:49:20Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1628422022-11-11T01:02:38Z Distributed system for time-sensitive applications with multiple execution options (MEO) Lim, Jia En Arvind Easwaran School of Computer Science and Engineering arvinde@ntu.edu.sg Engineering::Computer science and engineering::Computer systems organization::Computer system implementation 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. Bachelor of Engineering (Computer Science) 2022-11-11T01:02:38Z 2022-11-11T01:02:38Z 2022 Final Year Project (FYP) Lim, J. E. (2022). Distributed system for time-sensitive applications with multiple execution options (MEO). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/162842 https://hdl.handle.net/10356/162842 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computer systems organization::Computer system implementation Lim, Jia En Distributed system for time-sensitive applications with multiple execution options (MEO) |
| title | Distributed system for time-sensitive applications with multiple execution options (MEO) |
| title_full | Distributed system for time-sensitive applications with multiple execution options (MEO) |
| title_fullStr | Distributed system for time-sensitive applications with multiple execution options (MEO) |
| title_full_unstemmed | Distributed system for time-sensitive applications with multiple execution options (MEO) |
| title_short | Distributed system for time-sensitive applications with multiple execution options (MEO) |
| title_sort | distributed system for time sensitive applications with multiple execution options meo |
| topic | Engineering::Computer science and engineering::Computer systems organization::Computer system implementation |
| url | https://hdl.handle.net/10356/162842 |
| work_keys_str_mv | AT limjiaen distributedsystemfortimesensitiveapplicationswithmultipleexecutionoptionsmeo |