Greatest-common-divisor dependency of juggling sequence rotation efficient performance

Author:

Erho Joseph A.1,Consul Juliana I.2,Japheth Bunakiye R.1

Affiliation:

1. Computer Science Department, Niger Delta University, Wilberforce Island , P.M.B. 071 , Amassoma , Bayelsa , Nigeria

2. Mathematics Department, Niger Delta University, Wilberforce Island , P.M.B. 071 , Amassoma , Bayelsa , Nigeria

Abstract

Abstract In previous experimental study with three-way-reversal and juggling sequence rotation algorithms, using 20,000,000 elements for type LONG in Java, the average execution times have been shown to be 49.66761ms and 246.4394ms, respectively. These results have revealed appreciable low performance in the juggling algorithm despite its proven optimality. However, the juggling algorithm has also exhibited efficiency with some offset ranges. Due to this pattern of the juggling algorithm, the current study is focused on investigating source of the inefficiency on the average performance. Samples were extracted from the previous experimental data, presented differently and analyzed both graphically and in tabular form. Greatest common divisor values from the data that equal offsets were used. As emanating from the previous study, the Java language used for the rotation was to simulate ordering of tasks for safety and efficiency in the context of real-time task scheduling. Outcome of the investigation shows that juggling rotation performance competes favorably with three-way-reversal rotation (and even better in few cases) for certain offsets, but poorly with the rests. This study identifies the poorest performances around offsets in the neighborhood of square root of the sequence size. From the outcome, the study therefore strongly advises application developers (especially for real-time systems) to be mindful of where and how to in using juggling rotation.

Publisher

Walter de Gruyter GmbH

Subject

General Computer Science

Reference38 articles.

1. B. C. Huang and M. A. Langston, “Practical in-place merging,” Communications of the ACM, vol. 31, pp. 348–352, 1988. 10.1145/42392.42403.

2. X. Wang, Y. Wub, and D. Zhua, “A new variant of in-place sort algorithm,” in: Proceedings of the International Workshop on Information and Electronics Engineering IWIEE (10–11 March 2012, Harbin, Heilongjiang), Elsevier, China, 2012, pp. 2274–2278, 10.1016/j.proeng.2012.01.300.

3. A. A. Stepanov and D. E. Rose, From mathematics to generic programming, Pearson Education Inc, USA, 2015.

4. J. Bentley, Programming pearls, 2nd edition, ACM Press/Addison-Wesley Inc, USA, 2000.

5. D. Gries and H. Mills, Swapping sections, Technical report 452, Cornell University, USA, 1981.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Number and Classes of Rotations on Juggling Sequence Rotation;2023 15th International Conference on Computer Research and Development (ICCRD);2023-01-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3