In this report, we discuss a metric that characterizes the load of a sporadic task system. We give an exact, exponential-time algorithm that determines a task system’s load by essentially simulating the execution of task system. In addition, we also give an algorithm that can determine the load of a task system within an arbitrarily small threshold ɛ> 0. While the worst-case time complexity of the approximation is still possibly exponential, we have empirically observed that this algorithm generally provides a very significant reduction in the time that we must simulate the task system to obtain the load. Additionally, we provide proofs of correctness for our algorithms.
There is a very important class of applications which is named Many-Task Computing (MTC). For a lot ...
The scheduling of tasks in dynamic multitasking computer systems using imprecise partial computation...
This article presents a statistical approach to the scheduling of divisible workloads. Structured as...
For the schedulability analysis of hard real-time systems it is important to use task and resource m...
Proper workload analysis is often overlooked in performance and reliability studies of computing sys...
A key point in parallel systems design is the way clients requests are forwarded and distributed amo...
We study the scheduling of tasks in computer systems which utilize imprecise (partial) computations....
A new model for sporadic task systems is introduced. This model | the generalized multiframe task mo...
We study the problem of assigning sporadic tasks to unrelated machines such that the tasks on each m...
This paper considers the non-preemptive on-line load balancing problem where tasks have limited dura...
Classical analysis of real-time systems focuses on guaranteeing the schedulability of the system whe...
. In many applications, approximate results are often sufficient to achieve an acceptable behavior o...
Real time systems have been a major area of study for many years. Advancements in electronics, compu...
To a large extent, the load balancing algorithm affects the clustering performance of the computer. ...
In this paper we study the performance of four mapping algorithms. The four algorithms include two n...
There is a very important class of applications which is named Many-Task Computing (MTC). For a lot ...
The scheduling of tasks in dynamic multitasking computer systems using imprecise partial computation...
This article presents a statistical approach to the scheduling of divisible workloads. Structured as...
For the schedulability analysis of hard real-time systems it is important to use task and resource m...
Proper workload analysis is often overlooked in performance and reliability studies of computing sys...
A key point in parallel systems design is the way clients requests are forwarded and distributed amo...
We study the scheduling of tasks in computer systems which utilize imprecise (partial) computations....
A new model for sporadic task systems is introduced. This model | the generalized multiframe task mo...
We study the problem of assigning sporadic tasks to unrelated machines such that the tasks on each m...
This paper considers the non-preemptive on-line load balancing problem where tasks have limited dura...
Classical analysis of real-time systems focuses on guaranteeing the schedulability of the system whe...
. In many applications, approximate results are often sufficient to achieve an acceptable behavior o...
Real time systems have been a major area of study for many years. Advancements in electronics, compu...
To a large extent, the load balancing algorithm affects the clustering performance of the computer. ...
In this paper we study the performance of four mapping algorithms. The four algorithms include two n...
There is a very important class of applications which is named Many-Task Computing (MTC). For a lot ...
The scheduling of tasks in dynamic multitasking computer systems using imprecise partial computation...
This article presents a statistical approach to the scheduling of divisible workloads. Structured as...