Non-clairvoyantly scheduling to minimize convex functions
From MaRDI portal
Publication:2319644
DOI10.1007/s00453-019-00597-2zbMath1430.90262OpenAlexW2953196173WikidataQ127673110 ScholiaQ127673110MaRDI QIDQ2319644
Sungjin Im, Kyle Fox, Benjamin Moseley, Janardhan Kulkarni
Publication date: 20 August 2019
Published in: Algorithmica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00453-019-00597-2
Deterministic scheduling theory in operations research (90B35) Online algorithms; streaming algorithms (68W27)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Online weighted flow time and deadline scheduling
- Minimizing total flow time and total completion time with immediate dispatching
- Greedy multiprocessor server scheduling
- Approximating total flow time on parallel machines
- Nonclairvoyant scheduling to minimize the total flow time on single and parallel machines
- Minimizing the Flow Time Without Migration
- Scalably scheduling processes with arbitrary speedup curves
- A unified approach to scheduling on unrelated parallel machines
- Multi-processor scheduling to minimize flow time with ε resource augmentation
- Speed is as powerful as clairvoyance
- Fair Scheduling via Iterative Quasi-Uniform Sampling
- All-norm approximation algorithms
- Better Scalable Algorithms for Broadcast Scheduling
- The Geometry of Scheduling
- Algorithms for minimizing weighted flow time
- Server Scheduling to Balance Priorities, Fairness, and Average Quality of Service
- Optimal time-critical scheduling via resource augmentation
This page was built for publication: Non-clairvoyantly scheduling to minimize convex functions