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ICTAI
2009
IEEE
13 years 6 months ago
TiMDPpoly: An Improved Method for Solving Time-Dependent MDPs
We introduce TiMDPpoly, an algorithm designed to solve planning problems with durative actions, under probabilistic uncertainty, in a non-stationary, continuous-time context. Miss...
Emmanuel Rachelson, Patrick Fabiani, Fréd&e...
SC
2009
ACM
14 years 3 months ago
Evaluating the impact of inaccurate information in utility-based scheduling
Proponents of utility-based scheduling policies have shown the potential for a 100–1400% increase in value-delivered to users when used in lieu of traditional approaches such as...
Alvin AuYoung, Amin Vahdat, Alex C. Snoeren
ECAI
1998
Springer
14 years 24 days ago
Optimal Scheduling of Dynamic Progressive Processing
Progressive processing allows a system to satisfy a set of requests under time pressure by limiting the amount of processing allocated to each task based on a predefined hierarchic...
Abdel-Illah Mouaddib, Shlomo Zilberstein
IJHPCA
2006
96views more  IJHPCA 2006»
13 years 8 months ago
On the User - Scheduler Dialogue: Studies of User-Provided Runtime Estimates and Utility Functions
Effective communication between user and scheduler is an important prerequisite to achieving a successful scheduling outcome from both parties' perspectives. In a grid or sta...
Cynthia Bailey Lee, Allan Snavely
PPOPP
2010
ACM
14 years 5 months ago
Lazy binary-splitting: a run-time adaptive work-stealing scheduler
We present Lazy Binary Splitting (LBS), a user-level scheduler of nested parallelism for shared-memory multiprocessors that builds on existing Eager Binary Splitting work-stealing...
Alexandros Tzannes, George C. Caragea, Rajeev Baru...