We consider the classic facility location problem in fully dynamic data streams, where elements can be both inserted and deleted. In this problem, one is interested in maintaining a stable and high quality solution throughout the data stream while using only little time per update (insertion or deletion). We study the problem and provide the first algorithm that at the same time maintains a constant approximation and incurs polylogarithmic amortized recourse per update. We complement our theoretical results with an experimental analysis showing the practical efficiency of our method.
翻译:我们认为典型的设施定位问题存在于完全动态的数据流中,其中元素既可以插入,也可以删除。在这个问题中,人们希望在整个数据流中保持稳定、高质量的解决方案,而每次更新(插入或删除)的时间很少。我们研究这一问题并提供第一种算法,既保持恒定近似,同时每次更新也进行多对数分解分解追索。我们用实验分析来补充我们的理论结果,以显示我们方法的实际效率。