We consider load balancing in the following setting. The on-line algorithm is allowed to use n machines, whereas the optimal o-line algorithm is limited to m machines, for some xed m < n. We show that while the greedy algorithm has a competitive ratio which decays linearly in the inverse of n=m, the best on-line algorithm has a ratio which decays exponentially in n=m. Specically, we give a determin-istic algorithm with competitive ratio of 1 + 2
Abstract. We consider the problem of scheduling a sequence of jobs to m parallel machines as to maxi...
Parallel iterative applications often suffer from load imbalance, one of the most critical performan...
Among all basic on-line load balancing problems, the only unresolved problem was load balancing of t...
textabstractWe consider load-balancing in the following setting. The on-line algorithm is allowed to...
We consider the on-line load balancing problem where there are m identical machines (servers) and a ...
AbstractThe setup for our problem consists of n servers that must complete a set of tasks. Each task...
The setup for our problem consists of n servers that must complete a set of tasks. Each task can be ...
We consider the problem of scheduling permanent jobs on related machines in an on-line fashion. We d...
We provide a new approach to the on-line load balancing problem in the case of restricted assignment...
AbstractWe provide a new approach to the on-line load balancing problem in the case of restricted as...
We provide a new simpler approach to the on-line load balancing problem in the case of restricted as...
This paper considers the non-preemptive on-line load balancing problem where tasks have limited dura...
We provide a new approach to the on-line load balancing problem in the case of restricted assignment...
We consider the problem of online scheduling of jobs on unrelated machines with dynamic speed scalin...
AbstractWe consider the on-line load balancing problem where there are m identical machines (servers...
Abstract. We consider the problem of scheduling a sequence of jobs to m parallel machines as to maxi...
Parallel iterative applications often suffer from load imbalance, one of the most critical performan...
Among all basic on-line load balancing problems, the only unresolved problem was load balancing of t...
textabstractWe consider load-balancing in the following setting. The on-line algorithm is allowed to...
We consider the on-line load balancing problem where there are m identical machines (servers) and a ...
AbstractThe setup for our problem consists of n servers that must complete a set of tasks. Each task...
The setup for our problem consists of n servers that must complete a set of tasks. Each task can be ...
We consider the problem of scheduling permanent jobs on related machines in an on-line fashion. We d...
We provide a new approach to the on-line load balancing problem in the case of restricted assignment...
AbstractWe provide a new approach to the on-line load balancing problem in the case of restricted as...
We provide a new simpler approach to the on-line load balancing problem in the case of restricted as...
This paper considers the non-preemptive on-line load balancing problem where tasks have limited dura...
We provide a new approach to the on-line load balancing problem in the case of restricted assignment...
We consider the problem of online scheduling of jobs on unrelated machines with dynamic speed scalin...
AbstractWe consider the on-line load balancing problem where there are m identical machines (servers...
Abstract. We consider the problem of scheduling a sequence of jobs to m parallel machines as to maxi...
Parallel iterative applications often suffer from load imbalance, one of the most critical performan...
Among all basic on-line load balancing problems, the only unresolved problem was load balancing of t...