当前位置: X-MOL 学术Theor. Comput. Sci. › 论文详情
The parameterized complexity and kernelization of resilience for database queries
Theoretical Computer Science ( IF 0.747 ) Pub Date : 2020-08-19 , DOI: 10.1016/j.tcs.2020.08.018
Dongjing Miao; Jianzhong Li; Zhipeng Cai

Given a database instance and a query on it whose result is initially non-empty, the resilience decision problem is to decide if there exist a small enough number of facts in the database instance such that the deletion of these facts empties the result of the given query. In this paper, we revisit the resilience decision problem. We investigate the parameterized complexity for various classes of database queries. We consider the factors including the query size and the number of variables, and present several intractable cases even from the perspective of parameterized complexity. Meanwhile, we refine the characteristics of resilience for self-join-free conjunctive queries containing triads, and show that it is still NP-hard even if the structure of the input database instance is simple. This result implies the hardness essentially comes from the parity of triangle sequence instead of the complicate (non-planar) intersections of cycles. On the other hand, we also obtain some positive results showing that the resilience decision problem is still fixed parameter tractable for an important case through kernelization. Our work demonstrates a new insight for employing resilience computation in database operations.

更新日期:2020-09-15

 

全部期刊列表>>
物理学研究前沿热点精选期刊推荐
科研绘图
欢迎报名注册2020量子在线大会
化学领域亟待解决的问题
材料学研究精选新
GIANT
自然职场线上招聘会
ACS ES&T Engineering
ACS ES&T Water
屿渡论文,编辑服务
阿拉丁试剂right
张晓晨
田蕾蕾
李闯创
刘天飞
隐藏1h前已浏览文章
课题组网站
新版X-MOL期刊搜索和高级搜索功能介绍
ACS材料视界
天合科研
x-mol收录
X-MOL
清华大学
廖矿标
陈永胜
试剂库存
down
wechat
bug