Abstract. The thesis is devoted to the problem of online preemptive scheduling of mul- tiprocessor jobs. It gives a summary of previous work on this problem. For some special variants of the problem, especially if we restrict the sizes of jobs to one and two, new results are given, both in the terms of lower bounds and in the terms of competitive al- gorithms. A previously published lower bound is showed to be computed incorrectly and it is replaced by a correct lower bound in this thesis. An algorithm is presented for the special case of four processors and sizes of jobs one and two that is conjectured to achieve the best possible competitive ratio
AbstractWe consider preemptive offline and online scheduling on identical machines and uniformly rel...
We study a maximization problem: online scheduling on m identical machines to maximize the number of...
A malleable parallel job is one that may be assigned to any number of processors in a parallel compu...
We study online preemptive makespan minimization on m parallel machines, where the (multiprocessor) ...
We consider the problem of preemptive scheduling on uniformly related machines.We present a semi-onl...
AbstractThe problem of online multiprocessor scheduling with rejection was introduced by Bartal et a...
We present a unified optimal semi-online algorithm for preemptive scheduling on uni-formly related m...
Abstract. We study the problem of processor scheduling for n parallel jobs applying the method of co...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
Our main result is an optimal online algorithm for preemptive scheduling on uniformly related machin...
In this paper, we derive bounds on performance guarantees of online algorithms for real-time preempt...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
We give an online algorithm for minimizing the total weighted completion time on a single machine wh...
In this paper we consider the online scheduling of jobs, which require processing on a number of mac...
In this paper we consider the online scheduling of jobs, which require processing on a number of mac...
AbstractWe consider preemptive offline and online scheduling on identical machines and uniformly rel...
We study a maximization problem: online scheduling on m identical machines to maximize the number of...
A malleable parallel job is one that may be assigned to any number of processors in a parallel compu...
We study online preemptive makespan minimization on m parallel machines, where the (multiprocessor) ...
We consider the problem of preemptive scheduling on uniformly related machines.We present a semi-onl...
AbstractThe problem of online multiprocessor scheduling with rejection was introduced by Bartal et a...
We present a unified optimal semi-online algorithm for preemptive scheduling on uni-formly related m...
Abstract. We study the problem of processor scheduling for n parallel jobs applying the method of co...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
Our main result is an optimal online algorithm for preemptive scheduling on uniformly related machin...
In this paper, we derive bounds on performance guarantees of online algorithms for real-time preempt...
We consider online preemptive scheduling of jobs with fixed starting times revealed at those times o...
We give an online algorithm for minimizing the total weighted completion time on a single machine wh...
In this paper we consider the online scheduling of jobs, which require processing on a number of mac...
In this paper we consider the online scheduling of jobs, which require processing on a number of mac...
AbstractWe consider preemptive offline and online scheduling on identical machines and uniformly rel...
We study a maximization problem: online scheduling on m identical machines to maximize the number of...
A malleable parallel job is one that may be assigned to any number of processors in a parallel compu...