The scheduling of application tasks is a problem that occurs in all multiprocessor systems. This problem has been shown to be NP-hard if the tasks are not independent but are interrelated by mutual exclusion and precedence constraints.
This paper presents an approach for pre-runtime scheduling of periodic tasks on multiple processors for a real-time system that must meet hard deadlines. The tasks can be related to each other by mutual exclusion and precedence forming an acyclic graph. The proposed scheduler is based on genetic algorithms, which relieves the user from knowing how to construct a solution. Consequently, the paper focuses on the problem encoding, i.e., the representation of the problem by genes and chromosomes, and the derivation of an appropriate fitness function. The main benefit of the approach is that it is scalable to any number of processors and can easily be extended to incorporate further requirements. 相似文献
The Enhanced Pay-Per-View (EPPV) model for providing continuous-media services associates with each continuous-media clip
a display frequency that depends on the clip's popularity. The aim is to increase the number of clients that can be serviced
concurrently beyond the capacity limitations of available resources, while guaranteeing a constraint on the response time.
This is achieved by sharing periodic continuous-media streams among multiple clients. The EPPV model offers a number of advantages
over other data-sharing schemes (e.g., batching), which make it more attractive to large-scale service providers. In this
paper, we provide a comprehensive study of the resource-scheduling problems associated with supporting EPPV for continuous-media
clips with (possibly) different display rates, frequencies, and lengths. Our main objective is to maximize the amount of disk
bandwidth that is effectively scheduled under the given data layout and storage constraints. Our formulation gives rise to
-hard combinatorial optimization problems that fall within the realm of hard real-time scheduling theory. Given the intractability
of the problems, we propose novel heuristic solutions with polynomial-time complexity. We also present preliminary experimental
results for the average case behavior of the proposed scheduling schemes and examine how they compare to each other under
different workloads. A major contribution of our work is the introduction of a robust scheduling framework that, we believe,
can provide solutions for a variety of realistic EPPV resource-scheduling scenarios, as well as any scheduling problem involving
regular, periodic use of a shared resource. Based on this framework, we propose various interesting research directions for
extending the results presented in this paper.
Received June 9, 1998 / Accepted October 13, 1998 相似文献
The relative simplicity of access to digital communications nowadays and the simultaneous increase in the available bandwidth
are leading to the definition of new telematic services, mainly oriented towards multimedia applications and interactivity
with the user. In the near future, a decisive role will be played in this scenario by the providers of interactive multimedia
services of the on-demand type, which will guarantee the end user a high degree of flexibility, speed and efficiency. In this
paper, some of the technical aspects regarding these service providers are dealt with, paying particular attention to the
problems of storing information and managing service requests. More specifically, the paper presents and evaluates a new storage
technique based on the use of disk array technology, which can manage both typical multimedia connections and traditional
requests. The proposed architecture is based on the joint use of the partial dynamic declustering and the information dispersal
algorithm, which are employed for the allocation and retrieval of the data stored on the disk array. We also define efficient
strategies for request management in such a way as to meet the time constraints imposed by multimedia sessions and guarantee
good response times for the rest of the traffic. The system proposed is then analyzed using a simulation approach. 相似文献
The single server queue with vacation has been extended to include several types of extensions and generalisations, to which attention has been paid by several researchers (e.g. see Doshi, B. T., Single server queues with vacations — a servey. Queueing Systems, 1986, 1, 29–66; Takagi, H., Queueing Analysis: A Foundation of Performance evaluation, Vol. 1, Vacation and Priority systems, Part. 1. North Holland, Amsterdam, 1991; Medhi, J., Extensions and generalizations of the classical single server queueing system with Poisson input. J. Ass. Sci. Soc., 1994, 36, 35–41, etc.). The interest in such types of queues have been further enhanced in resent years because of their theoretical structures as well as their application in many real life situations such as computer, telecommunication, airline scheduling as well as production/inventory systems. This paper concerns the model building of such a production/inventory system, where machine undergoes extra operation (such as machine repair, preventive maintenance, gearing up machinery, etc.) before the processing of raw material is to be started. To be realistic, we also assume that raw materials arrive in batch. This production system can be formulated as an Mx/M/1 queues with a setup time. Further, from the utility point of view of idle time this model can also be formulated as a case of multiple vacation model, where vacation begins at the end of each busy period. Besides, the production/inventory systems, such a model is generally fitted to airline scheduling problems also. In this paper an attempt has been made to study the steady state behavior of such an Mx/M/1 queueing system with a view to provide some system performance measures, which lead to remarkable simplification when solving other similar types of queueing models.This paper deals with the steady state behaviour of a single server batch arrival Poisson queue with a random setup time and a vacation period. The service of the first customer in each busy period is preceded by a random setup period, on completion of which service starts. As soon as the system becomes empty the server goes on vacation for a random length of time. On return from vacation, if he finds customer(s) waiting, the server starts servicing the first customer in the queue. Otherwise it takes another vacation and so on. We study the steady state behaviour of the queue size distribution at random (stationary) point of time as well as at departure point of time and try to show that departure point queue size distribution can be decomposed into three independent random variables, one of which is the queue size of the standard Mx/M/1 queue. The interpretation of the other two random variables will also be provided. Further, we derive analytically explicit expressions for the system state (number of customers in the system) probabilities and provide their appropriate interpretations. Also, we derive some system performance measures. Finally, we develop a procedure to find mean waiting time of an arbitrary customer. 相似文献