We consider the problem of scheduling permanent jobs on related machines in an on-line fashion. We design a new algorithm that achieves the competitive ratio of 3+ p 8 5:828 for the deterministic version, and 3:31= ln 2:155 4:311 for its randomized variant, improving the previous competitive ratios of 8 and 2e 5:436. We also prove lower bounds of 2:4380 on the competitive ratio of deterministic algorithms and 1:8372 on the competitive ratio of randomized algorithms for this problem
AbstractWe present a deterministic online algorithm for scheduling two parallel machines when jobs a...
We consider the problem of on-line scheduling of jobs arriving one by one on uniformly related mach...
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...
This paper considers the non-preemptive on-line load balancing problem where tasks have limited dura...
We consider the on-line load balancing problem where there are m identical machines (servers) and a ...
The setup for our problem consists of n servers that must complete a set of tasks. Each task can be ...
AbstractWe provide a new approach to the on-line load balancing problem in the case of restricted as...
textabstractWe consider load-balancing in the following setting. The on-line algorithm is allowed to...
We provide a new simpler approach to the on-line load balancing problem in the case of restricted as...
We provide a new approach to the on-line load balancing problem in the case of restricted assignment...
AbstractWe consider the on-line load balancing problem where there are m identical machines (servers...
We consider load balancing in the following setting. The on-line algorithm is allowed to use n machi...
Abstract. We consider the problem of scheduling a sequence of jobs to m parallel machines as to maxi...
Consider the on-line problem where a number of servers are ready to provide service to a set of cust...
AbstractWe present a deterministic online algorithm for scheduling two parallel machines when jobs a...
We consider the problem of on-line scheduling of jobs arriving one by one on uniformly related mach...
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...
This paper considers the non-preemptive on-line load balancing problem where tasks have limited dura...
We consider the on-line load balancing problem where there are m identical machines (servers) and a ...
The setup for our problem consists of n servers that must complete a set of tasks. Each task can be ...
AbstractWe provide a new approach to the on-line load balancing problem in the case of restricted as...
textabstractWe consider load-balancing in the following setting. The on-line algorithm is allowed to...
We provide a new simpler approach to the on-line load balancing problem in the case of restricted as...
We provide a new approach to the on-line load balancing problem in the case of restricted assignment...
AbstractWe consider the on-line load balancing problem where there are m identical machines (servers...
We consider load balancing in the following setting. The on-line algorithm is allowed to use n machi...
Abstract. We consider the problem of scheduling a sequence of jobs to m parallel machines as to maxi...
Consider the on-line problem where a number of servers are ready to provide service to a set of cust...
AbstractWe present a deterministic online algorithm for scheduling two parallel machines when jobs a...
We consider the problem of on-line scheduling of jobs arriving one by one on uniformly related mach...
A machine instantly serves requests but needs to undergo maintenance after serving a maximum of L re...