In this work we treat the problem of scheduling under two types of temporal uncertainty, setbased and probabilistic. For the former we define appropriate optimality criteria and develop an algorithm for finding optimal scheduling strategies using a backward reachability algorithm for timed automata

In this work we treat the problem of scheduling under two types of temporal uncertainty, setbased and probabilistic. For the former we define appropriate optimality criteria and develop an algorithm for finding optimal scheduling strategies using a backward reachability algorithm for timed

of the algorithm is at most O(TmS,,,P), where S, is the site of the largest activation record of any thread, thereby justify-ing the folk wisdom that work-stealing schedulers are more communication eficient than their work-sharing counterparts. All three of these bounds are existentially optimal to within a

We have created a framework that provides a way to represent a wide range of scheduling and assignment problems across many domains. We have also created an optimizing scheduler that can, without modification, solve any problem represented using this framework. The three components of a problem

This paper shows that software pipelining is an effective and viable scheduling technique for VLIW processors. In software pipelining, iterations of a loop in the source program are continuously initiated at constant intervals, before the preceding iterations complete. The advantage of software

commitment Abstract. This paper mainly put forwards the design and implementation of hydropower, thermal power, and wind power joint optimal scheduling system, introduces the framework and functional module of JAVA enterprise application technology, and focuses on the key technologies of the system

is stable. A policy m,, is obtained which is optimal in the sense that its stability region Cn0 is a superset of the stability region of every other scheduling policy. The stability region Cmo is characterized. Finally, we study the behavior of the network for arrival rates that lie outside the stability

range of t tasks. Our new result is asymptotically optimal: the tails of these schedules are within a 1 +O(n 1 4 ) factor of the lower bound. We also present two new deterministic constructions one for t n, and the other for t n 3=2 , which substantially improve pairwise waste for all prexes

, determining the assignment of available subcarriers to selected users, and for each subcarrier determining the transmission power and the coding and modulation scheme used. We address this in the context of a utility-based scheduling scheme presented in earlier papers. This results in an optimization problem

Abstract — In this paper, we revisit the problem of determining the minimum-length schedule that satisfies certain traffic demands in a wireless network. Traditional approaches for the determination of minimum-length schedules are based on a collision channel model, in which neighboring