We consider two scheduling problems in the broadcast setting. The first is that of minimizing the average response time of requests. For the offline version of this problem we give an algorithm with an approximation ratio of O(log2 (n)/ log log(n)), where n is the total number of pages. This substantially improves the previously best known approximation factor of O(vn) for the problem [3]. Our second result is for the profit maximization version of the broadcast scheduling problem. Here each request has a deadline and a profit which is obtained if the request is satisfied before its deadline. The goal is to maximize the total profit. We give an algorithm with an approximation ratio of 5/6, which improves the previously best known approximat...
We consider the problem of approximating the minimum average response time in on-demand data broadca...
We consider the problem of approximating the minimum average response time in on-demand data broadca...
We consider the problem of approximating the minimum average response time in on-demand data broadca...
We consider two scheduling problems in the broadcast setting. The first is that of minimizing the av...
We consider two scheduling problems in the broadcast setting. The first is that of minimizing the av...
We consider two scheduling problems in the broadcast setting. The first is that of minimizing the av...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
We revisit the pull-based broadcast scheduling model. In this model, there are n unit-sized pages of...
We consider the problem of approximating the minimum average response time in on-denmnd data broadca...
We consider the problem of approximating the minimum average response time in on-demand data broadca...
We consider the problem of approximating the minimum average response time in on-demand data broadca...
We consider the problem of approximating the minimum average response time in on-demand data broadca...
We consider the problem of approximating the minimum average response time in on-demand data broadca...
We consider two scheduling problems in the broadcast setting. The first is that of minimizing the av...
We consider two scheduling problems in the broadcast setting. The first is that of minimizing the av...
We consider two scheduling problems in the broadcast setting. The first is that of minimizing the av...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
We revisit the pull-based broadcast scheduling model. In this model, there are n unit-sized pages of...
We consider the problem of approximating the minimum average response time in on-denmnd data broadca...
We consider the problem of approximating the minimum average response time in on-demand data broadca...
We consider the problem of approximating the minimum average response time in on-demand data broadca...
We consider the problem of approximating the minimum average response time in on-demand data broadca...
We consider the problem of approximating the minimum average response time in on-demand data broadca...