Add to ORKGProviding QoS and performance guarantees to arbitrarily divisible loads has become a significant problem for many cluster-based research computing facilities. While progress is being made in scheduling arbitrarily divisible loads, existing approaches are not very efficient and cannot scale to large clusters. In this paper we propose an efficient algorithm for real-time divisible load scheduling, which has a time complexity linear to the number of tasks and the number of nodes in the cluster
(eng) Applications in many scientific and engineering domains are structured in large numbers of ind...
Applications in many scientific and engineering domains are structured in large numbers of independe...
Providing QoS and performance guarantees to arbitrarily di-visible loads has become a significant pr...
Providing QoS and performance guarantees to arbitrarily divisible loads has become a significant pro...
Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and...
Providing QoS and performance guarantees to arbitrarily divisible loads has become a significant pro...
Cluster computing has become an important paradigm for solving large-scale problems. However, as the...
Abstract Cluster Computing has emerged as a new paradigm for solving large-scale problems. To enhanc...
Cluster computing has become an important paradigm for solving large-scale problems. However, as the...
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...
Providing QoS and performance guarantees to arbitrarily divisible loads has become a significant pro...
Recent research in real-time divisible load theory (RT-DLT) has addressed the problem of distributin...
In distributed computing, divisible load theory provides an important system model for allocation of...
Many applications in scientific and engineering domains are structured as large numbers of independe...
(eng) Applications in many scientific and engineering domains are structured in large numbers of ind...
Applications in many scientific and engineering domains are structured in large numbers of independe...
Providing QoS and performance guarantees to arbitrarily di-visible loads has become a significant pr...
Providing QoS and performance guarantees to arbitrarily divisible loads has become a significant pro...
Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and...
Providing QoS and performance guarantees to arbitrarily divisible loads has become a significant pro...
Cluster computing has become an important paradigm for solving large-scale problems. However, as the...
Abstract Cluster Computing has emerged as a new paradigm for solving large-scale problems. To enhanc...
Cluster computing has become an important paradigm for solving large-scale problems. However, as the...
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...
Providing QoS and performance guarantees to arbitrarily divisible loads has become a significant pro...
Recent research in real-time divisible load theory (RT-DLT) has addressed the problem of distributin...
In distributed computing, divisible load theory provides an important system model for allocation of...
Many applications in scientific and engineering domains are structured as large numbers of independe...
(eng) Applications in many scientific and engineering domains are structured in large numbers of ind...
Applications in many scientific and engineering domains are structured in large numbers of independe...
Providing QoS and performance guarantees to arbitrarily di-visible loads has become a significant pr...