Broadcast scheduling is a widely used mechanism for disseminating vast amounts of information. In this model, information is discretized into “pages”, which clients explicitly request. The primary advantage of broadcasting is that any number of outstanding requests may be satisfied via only one broadcast. There are several ways to measure the quality of a schedule. The majority of this paper is devoted to the study of the FIFO algorithm for online broadcasting, in which the server does not know anything about future requests at any given time, with the goal of minimizing the maximum response time. In addition, an integrality gap for throughput maximization and a few greedy approaches to the problem of broadcasting with fixed maximum respons...
In this thesis we study scheduling problems that occur in the client server setting. In this settin...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
Abstract. In this paper we study the following problem. There are n pages which clients can request ...
Broadcast Scheduling is a popular method for disseminating information in response to client request...
We consider online algorithms for pull-based broadcast scheduling. In this setting there are n pages...
We consider online algorithms for pull-based broadcast scheduling. In this setting there are n pages...
In this thesis we study scheduling problems that occur in the client server setting. In this settin...
In the classical broadcast scheduling problem, there are n pages stored at a server, and requests fo...
In the classical broadcast scheduling problem, there are n pages stored at a server, and requests fo...
In the classical broadcast scheduling problem, there are n pages stored at a server, and requests fo...
In an on-demand data broadcast system, clients make requests for data such as weather forecasts, sto...
In the classic broadcast scheduling problem, there are n pages stored at a server, and requests for ...
In the classic broadcast scheduling problem, there are n pages stored at a server, and requests for ...
In the classic broadcast scheduling problem, there are n pages stored at a server, and requests for ...
In the classic broadcast scheduling problem, there are n pages stored at a server, and requests for ...
In this thesis we study scheduling problems that occur in the client server setting. In this settin...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
Abstract. In this paper we study the following problem. There are n pages which clients can request ...
Broadcast Scheduling is a popular method for disseminating information in response to client request...
We consider online algorithms for pull-based broadcast scheduling. In this setting there are n pages...
We consider online algorithms for pull-based broadcast scheduling. In this setting there are n pages...
In this thesis we study scheduling problems that occur in the client server setting. In this settin...
In the classical broadcast scheduling problem, there are n pages stored at a server, and requests fo...
In the classical broadcast scheduling problem, there are n pages stored at a server, and requests fo...
In the classical broadcast scheduling problem, there are n pages stored at a server, and requests fo...
In an on-demand data broadcast system, clients make requests for data such as weather forecasts, sto...
In the classic broadcast scheduling problem, there are n pages stored at a server, and requests for ...
In the classic broadcast scheduling problem, there are n pages stored at a server, and requests for ...
In the classic broadcast scheduling problem, there are n pages stored at a server, and requests for ...
In the classic broadcast scheduling problem, there are n pages stored at a server, and requests for ...
In this thesis we study scheduling problems that occur in the client server setting. In this settin...
We consider scheduling policies in a client-server system where the server delivers data by broadcas...
Abstract. In this paper we study the following problem. There are n pages which clients can request ...