Add to ORKGThe paper presents a heuristic algorithm to schedule real time indivisible loads represented as directed sequential task graph on a cluster computing. One of the cluster nodes has some special resources (denoted by special node) that may be needed by one of the indivisible load
Cluster computing has become an important paradigm for solving large-scale problems. However, as the...
We present an optimal solution to the problem of allocating communicating periodic tasks to heteroge...
Abstract—In this paper, we propose distributed algorithms referred to as Resource-Aware Dynamic Incr...
Scheduling a large number of applications on a cluster computing environment is a serious obstacle t...
Cluster computing has become an important paradigm for solving large-scale problems. However, as the...
We investigate the problem of scheduling real-time applications in cluster computing environments. T...
10.1109/ICON.2011.6168521ICON 2011 - 17th IEEE International Conference on Networks141-14
Abstract Cluster Computing has emerged as a new paradigm for solving large-scale problems. To enhanc...
Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and...
Due to current advances in high-speed networks and improved microprocessor performance, clusters are...
10.1016/j.jpdc.2013.03.013Journal of Parallel and Distributed Computing7381083-1091JPDC
Recent research in real-time divisible load theory (RT-DLT) has addressed the problem of distributin...
The significance of cluster computing in solving massively parallel workloads is tremendous. Divisib...
Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and...
Abstract. A Task Graph (TG) is a model of a parallel program that consists of many subtasks that can...
Cluster computing has become an important paradigm for solving large-scale problems. However, as the...
We present an optimal solution to the problem of allocating communicating periodic tasks to heteroge...
Abstract—In this paper, we propose distributed algorithms referred to as Resource-Aware Dynamic Incr...
Scheduling a large number of applications on a cluster computing environment is a serious obstacle t...
Cluster computing has become an important paradigm for solving large-scale problems. However, as the...
We investigate the problem of scheduling real-time applications in cluster computing environments. T...
10.1109/ICON.2011.6168521ICON 2011 - 17th IEEE International Conference on Networks141-14
Abstract Cluster Computing has emerged as a new paradigm for solving large-scale problems. To enhanc...
Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and...
Due to current advances in high-speed networks and improved microprocessor performance, clusters are...
10.1016/j.jpdc.2013.03.013Journal of Parallel and Distributed Computing7381083-1091JPDC
Recent research in real-time divisible load theory (RT-DLT) has addressed the problem of distributin...
The significance of cluster computing in solving massively parallel workloads is tremendous. Divisib...
Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and...
Abstract. A Task Graph (TG) is a model of a parallel program that consists of many subtasks that can...
Cluster computing has become an important paradigm for solving large-scale problems. However, as the...
We present an optimal solution to the problem of allocating communicating periodic tasks to heteroge...
Abstract—In this paper, we propose distributed algorithms referred to as Resource-Aware Dynamic Incr...