Abstract In this paper a service discipline, which is based on Generalized Processor Sharing (GPS) and aims to improve resource utilization for deterministic guarantees at a single node is presented. According to the proposed scheme original sessions are decomposed into two components which are treated as separate sessions by a GPS scheduler; the work assigned to each session components is mapped back to the original session. A Call Admission Control (CAC) algorithm for the proposed scheme – capable of ensuring typically better and never worse resource utilization compared to that achieved by the optimal CAC applied directly to the sessions – is derived, and some numerical results demonstrating the benefits of the proposed scheme are provid...
Generalized Processor Sharing (GPS) is a fluid scheduling policy providing perfect fairness. The min...
In this paper we study Generalized Processor Sharing (GPS) scheduling with Markov Modulated Fluid So...
In this paper, we study a hybrid scheduling mechanism in discrete-time. This mechanism combines the ...
this paper we provide a theoretical framework within which call admission control schemes with multi...
Generalized Processor Sharing(GPS) is an idealized fluid discipline with a number of desirable prope...
The problem of call admission control (CAC) is considered for leaky bucket constrained sessions with...
The Generalized Processor Sharing (GPS) scheduling discipline is an important scheduling mechanism t...
In Generalized Processor Sharing (GPS), the goal of the scheduler is to maximize the processor utili...
AbstractThe well-known Generalized Processor Sharing (GPS) scheduling principle and its variants hav...
Generalized Processor Sharing (GPS) is a simple mechanism to provide fair quality-of-service differe...
The problem of allocating network resources to the users of an integrated services net-work is inves...
Abstract-The problem of allocating network resources to the users of an integrated services network ...
While the (Egalitarian) Processor-Sharing (PS) discipline offers crucial insights in the performance...
Generalized Processor Sharing (GPS) is a simple, flexible and fair scheduling mechanism to achieve d...
With Generalized Processor Sharing (GPS), packets of different applications are backlogged in differ...
Generalized Processor Sharing (GPS) is a fluid scheduling policy providing perfect fairness. The min...
In this paper we study Generalized Processor Sharing (GPS) scheduling with Markov Modulated Fluid So...
In this paper, we study a hybrid scheduling mechanism in discrete-time. This mechanism combines the ...
this paper we provide a theoretical framework within which call admission control schemes with multi...
Generalized Processor Sharing(GPS) is an idealized fluid discipline with a number of desirable prope...
The problem of call admission control (CAC) is considered for leaky bucket constrained sessions with...
The Generalized Processor Sharing (GPS) scheduling discipline is an important scheduling mechanism t...
In Generalized Processor Sharing (GPS), the goal of the scheduler is to maximize the processor utili...
AbstractThe well-known Generalized Processor Sharing (GPS) scheduling principle and its variants hav...
Generalized Processor Sharing (GPS) is a simple mechanism to provide fair quality-of-service differe...
The problem of allocating network resources to the users of an integrated services net-work is inves...
Abstract-The problem of allocating network resources to the users of an integrated services network ...
While the (Egalitarian) Processor-Sharing (PS) discipline offers crucial insights in the performance...
Generalized Processor Sharing (GPS) is a simple, flexible and fair scheduling mechanism to achieve d...
With Generalized Processor Sharing (GPS), packets of different applications are backlogged in differ...
Generalized Processor Sharing (GPS) is a fluid scheduling policy providing perfect fairness. The min...
In this paper we study Generalized Processor Sharing (GPS) scheduling with Markov Modulated Fluid So...
In this paper, we study a hybrid scheduling mechanism in discrete-time. This mechanism combines the ...