The setup for our problem consists of n servers that must complete a set of tasks. Each task can be handled only by a subset of the servers, requires a dierent level of service, and once assigned can not be re-assigned. We make the natural assumption that the level of service is known at arrival time, but that the duration of service is not. The on-line load balancing problem is to assign each task to an appropriate server in such a way that the maximum load on the servers is minimized. In this paper we derive matching upper and lower bounds for the competitive ratio of the on-line greedy algorithm for this problem, namel
We consider load balancing in the following setting. The on-line algorithm is allowed to use n machi...
A centralized scheduler must assign tasks to servers, processing on-line a sequence of task arrivals...
A machine instantly serves requests but needs to undergo maintenance after serving a maximum of L re...
AbstractThe setup for our problem consists of n servers that must complete a set of tasks. Each task...
AbstractWe provide a new approach to the on-line load balancing problem in the case of restricted as...
We consider the on-line load balancing problem where there are m identical machines (servers) and a ...
We provide a new approach to the on-line load balancing problem in the case of restricted assignment...
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...
AbstractWe consider the on-line load balancing problem where there are m identical machines (servers...
We provide a new approach to the on-line load balancing problem in the case of restricted assignment...
Consider the on-line problem where a number of servers are ready to provide service to a set of cust...
Consider the on-line problem where a number of servers are ready to provide service to a set of cust...
We consider the problem of scheduling permanent jobs on related machines in an on-line fashion. We d...
textabstractWe consider load-balancing in the following setting. The on-line algorithm is allowed to...
We consider load balancing in the following setting. The on-line algorithm is allowed to use n machi...
A centralized scheduler must assign tasks to servers, processing on-line a sequence of task arrivals...
A machine instantly serves requests but needs to undergo maintenance after serving a maximum of L re...
AbstractThe setup for our problem consists of n servers that must complete a set of tasks. Each task...
AbstractWe provide a new approach to the on-line load balancing problem in the case of restricted as...
We consider the on-line load balancing problem where there are m identical machines (servers) and a ...
We provide a new approach to the on-line load balancing problem in the case of restricted assignment...
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...
AbstractWe consider the on-line load balancing problem where there are m identical machines (servers...
We provide a new approach to the on-line load balancing problem in the case of restricted assignment...
Consider the on-line problem where a number of servers are ready to provide service to a set of cust...
Consider the on-line problem where a number of servers are ready to provide service to a set of cust...
We consider the problem of scheduling permanent jobs on related machines in an on-line fashion. We d...
textabstractWe consider load-balancing in the following setting. The on-line algorithm is allowed to...
We consider load balancing in the following setting. The on-line algorithm is allowed to use n machi...
A centralized scheduler must assign tasks to servers, processing on-line a sequence of task arrivals...
A machine instantly serves requests but needs to undergo maintenance after serving a maximum of L re...