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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pananjady, A. Bagaria, V.K. Vaze, R. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of EECS, Univ. of California, Berkeley, Berkeley, CA, USA (Pananjady, A.) || Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India (Bagaria, V.K.) || Sch. of Technol. & Comput. Sci., Tata Inst. of Fundamental Res., Mumbai, India (Vaze, R.) |
| Abstract | Given a universe U of n elements and a collection of subsets S of U, the maximum disjoint set cover problem (DSCP) is to partition S into as many set covers as possible, where a set cover is defined as a collection of subsets whose union is U. We consider the online DSCP, in which the subsets arrive one by one (possibly in an order chosen by an adversary), and must be irrevocably assigned to some partition on arrival with the objective of minimizing the competitive ratio. The competitive ratio of an online DSCP algorithm A is defined as the maximum ratio of the number of disjoint set covers obtained by the optimal offline algorithm to the number of disjoint set covers obtained by A across all inputs. We propose an online algorithm for solving the DSCP with competitive ratio ln n. We then show a lower bound of Ω(√ln n) on the competitive ratio for any online DSCP algorithm. The online disjoint set cover problem has wide ranging applications in practice, including the online crowd-sourcing problem, the online coverage lifetime maximization problem in WSNs, and in online resource allocation problems. |
| Starting Page | 1221 |
| Ending Page | 1229 |
| File Size | 250281 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781479983810 |
| DOI | 10.1109/INFOCOM.2015.7218497 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-04-26 |
| Publisher Place | Hong Kong |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Color Partitioning algorithms Resource management Algorithm design and analysis Silicon Conferences Computers |
| Content Type | Text |
| Resource Type | Article |
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