| LDR | | 01679nmm uu200409 4500 |
| 001 | | 000000331254 |
| 005 | | 20240805164022 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438377462 |
| 035 | |
▼a (MiAaPQ)AAI10840528 |
| 035 | |
▼a (MiAaPQ)duke:14841 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Kell, Nathaniel. |
| 245 | 10 |
▼a Algorithms for Allocation Problems in Online Settings. |
| 260 | |
▼a [S.l.] :
▼b Duke University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 161 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B. |
| 500 | |
▼a Adviser: Debmalya Panigrahi. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Duke University, 2018. |
| 520 | |
▼a A fundamental computational challenge that arises in the operation of online systems, services, and platforms is that of resource allocation . Broadly defined, a resource allocation problem is one where set of users generate demands, which then |
| 520 | |
▼a In this thesis, we examine resource allocation problems in online settings, focusing on problems in data center scheduling and internet advertising. Our results are summarized as follows. |
| 520 | |
▼a &bull |
| 520 | |
▼a &bull |
| 590 | |
▼a School code: 0066. |
| 650 | 4 |
▼a Computer science. |
| 690 | |
▼a 0984 |
| 710 | 20 |
▼a Duke University.
▼b Computer Science. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-02B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0066 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999734
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |