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On the Effectiveness of Additional Resources for On-Line Firm Deadline Scheduling

On the Effectiveness of Additional Resources for On-Line Firm Deadline Scheduling


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About the Book

This dissertation, "On the Effectiveness of Additional Resources for On-line Firm Deadline Scheduling" by 顔尊還, Tsuen-wan, Ngan, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled On the Eectiveness of Additional Resources for On-line Firm Deadline Scheduling submitted by Ngan Tsuen Wan for the degree of Master of Philosophy at the University of Hong Kong in August 2001 The performance of a real-time computer system is determined by the eec- tiveness of scheduling of jobs to meet their deadlines. However, many scheduling problems in the o-line setting have been proven to be NP-complete. In other words, it is computationally infeasible to nd optimal schedules for many cases. The situation is further complicated by the fact that scheduling algorithms are on-line in nature, i.e., they do not have advance knowledge about the jobs until they are released. As expected, many scheduling problems do not admit on-line algorithms with optimal or reasonably good performance guarantee. A natural approach towards better performance guarantee is to allow on-line schedulers to have more resources (such as faster processors or extra processors). Intuitively, the additional resources compensate on-line schedulers for the lack of future in- formation. Notice that most scheduling problems remain non-trivial even if a large amount of additional resources are available. In this thesis, we revisit several classical deadline scheduling problems that aim at maximizing the total work or value of jobs that can be completed by their deadlines. We consider dierent settings, including uniprocessor and mul- tiprocessor scheduling, and jobs with the same or dierent relative importance. We show new upper bounds and lower bounds on the eectiveness of using ad- ditional resources to provide better performance guarantee. Our results allow system administrators to compare and assess various scheduling algorithms and decide the resource requirement for their systems. DOI: 10.5353/th_b2971093 Subjects: Real-time data processingSchedulingComputer capacity - Planning


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Product Details
  • ISBN-13: 9781374710856
  • Publisher: Open Dissertation Press
  • Publisher Imprint: Open Dissertation Press
  • Height: 279 mm
  • Weight: 440 gr
  • ISBN-10: 1374710857
  • Publisher Date: 27 Jan 2017
  • Binding: Hardback
  • Spine Width: 6 mm
  • Width: 216 mm


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