| 研究課題/領域番号 |
19K20216
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| 研究機関 | 北陸先端科学技術大学院大学 |
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研究代表者 |
シュワルツマン グレゴリー 北陸先端科学技術大学院大学, 先端科学技術研究科, 准教授 (20815261)
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| 研究期間 (年度) |
2019-04-01 – 2022-03-31
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| キーワード | Distributed computing / Graph algorithms / Approximation algorithms |
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| 研究実績の概要 |
During 2020 we managed to advance the field of dynamic distributed graph algorithms in several ways: We consider fundamental graph problems in a highly dynamic environment and showed that these problems can be solved in O(1) amortized time. Furthermore, we also considered smoothed analysis for the distributed dynamic setting. Not only is form of complexity analysis more realistic, but it allows us to overcome some pathological impossibility results. We believe that this directions of research will advance our understanding of distributed dynamic systems.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
3: やや遅れている
理由
The project was slightly delayed due to the covid pandemic, which made it hard to meet in person. We did publish strong results, but I believe there is more to be done.
Apart from the papers already published, together with my collaborators, we have some preliminary results about parametrized algorithms, population protocols and smoothed analysis. I hope to publish the above during 2021, completing the projet.
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| 今後の研究の推進方策 |
I plan to continue working on extending our results for the smoothed analysis framework setting, as this model of computation can be highly useful in modeling real world distributed systems. I aim to continue studying fundamental graph problems (such as load balancing) in the more realistic complexity measure.
I plan to submit these results to leading conferences such as PODC and DISC.
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| 次年度使用額が生じた理由 |
I couldn't use the entire amount due to the covid pandemic. In 2021 I plan to use the budget for overseas travel. This face to face collaboration should speed up the progress of the project.
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