Colloque avec actes et comité de lecture. internationale.International audienceA real-time message stream is said to have an (m,k)-firm requirement if at least m out of any k consecutive messages from the stream must meet their deadline to ensure adequate quality of service (QoS). A scheduling policy is proposed recently called Distance-Based Priority (DBP) to better service multiple input queues single server (MIQSS) model, each stream with (m,k)-firm. But DBP cannot always provide good performance in MIQSS model. The raison is that DBP assignment is only based on the distance to failure state of each individual message stream with (m,k)-firm. Neither the message timing parameters (period, deadline, service time in server) nor its relation...
This paper considers the problem of server-side scheduling for jobs composed of multiple pieces with...
Texte intégral accessible uniquement aux membres de l'Université de LorraineThis work focuses on the...
In many applications involving continuous data streams, data ar-rival is bursty and data rate fluctu...
In [5], we introduced the notion of (m; k)-firm deadlines to better express the timing requirements ...
(m,k)-firm model has recently drawn a lot of attention. It provides a flexible real-time system with...
Several real-time applications, such as E-commerce, multimedia and process control are subject to mu...
This work focuses on the scheduling algorithms under (m,k)-firm constraint, as well as the applicati...
Abstract:- Multimedia communications involving digital audio and video has rather strict delay requi...
Cette thèse se focalise sur le développement des algorithmes d'ordonnancement sous contrainte (m, k)...
Colloque avec actes et comité de lecture. internationale.International audience(m,k)-firm model has ...
This talk addresses the use of the (m,k)-firm model for providing real-time QoS guarantee in adaptiv...
AbstractWe consider a dispatching system, where jobs with deadlines for their waiting times are assi...
This talk presents a new real-time Quality of Service (QoS) guarantee scheme called Relaxed (m,k)-fi...
Data Stream Management Systems (DSMS) typically host multiple Continuous Queries (CQ) that process s...
Francis COTTET (ENSMA)Françoise SIMONOT-LION (ENSMN)Yacine AMIRAT(Université Paris 12)Laurent GEORGE...
This paper considers the problem of server-side scheduling for jobs composed of multiple pieces with...
Texte intégral accessible uniquement aux membres de l'Université de LorraineThis work focuses on the...
In many applications involving continuous data streams, data ar-rival is bursty and data rate fluctu...
In [5], we introduced the notion of (m; k)-firm deadlines to better express the timing requirements ...
(m,k)-firm model has recently drawn a lot of attention. It provides a flexible real-time system with...
Several real-time applications, such as E-commerce, multimedia and process control are subject to mu...
This work focuses on the scheduling algorithms under (m,k)-firm constraint, as well as the applicati...
Abstract:- Multimedia communications involving digital audio and video has rather strict delay requi...
Cette thèse se focalise sur le développement des algorithmes d'ordonnancement sous contrainte (m, k)...
Colloque avec actes et comité de lecture. internationale.International audience(m,k)-firm model has ...
This talk addresses the use of the (m,k)-firm model for providing real-time QoS guarantee in adaptiv...
AbstractWe consider a dispatching system, where jobs with deadlines for their waiting times are assi...
This talk presents a new real-time Quality of Service (QoS) guarantee scheme called Relaxed (m,k)-fi...
Data Stream Management Systems (DSMS) typically host multiple Continuous Queries (CQ) that process s...
Francis COTTET (ENSMA)Françoise SIMONOT-LION (ENSMN)Yacine AMIRAT(Université Paris 12)Laurent GEORGE...
This paper considers the problem of server-side scheduling for jobs composed of multiple pieces with...
Texte intégral accessible uniquement aux membres de l'Université de LorraineThis work focuses on the...
In many applications involving continuous data streams, data ar-rival is bursty and data rate fluctu...