Providing 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 schedul-ing arbitrarily divisible loads, some of proposed approaches may cause Inserted Idle Times (IITs) that are detrimental to system performance. In this paper we propose a new approach that utilizes IITs and thus enhances the system performance. The novelty of our approach is that, to simplify the analysis, a homogenous system with IITs is transformed to an equivalent heterogeneous system, and that our algorithms can schedule real-time divisible loads with different processor available times. Intensive simulations show that the new approach outperf...
Many applications in scientific and engineering domains are structured as large numbers of independe...
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...
Providing QoS and performance guarantees to arbitrarily divisible loads has become a significant pro...
Abstract Cluster Computing has emerged as a new paradigm for solving large-scale problems. To enhanc...
Providing QoS and performance guarantees to arbitrar-ily divisible loads has become a significant pr...
Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and...
Cluster computing has emerged as a new paradigm for solv-ing large-scale problems. To enhance QoS an...
Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and...
Recent research in real-time divisible load theory (RT-DLT) has addressed the problem of distributin...
Providing QoS and performance guarantees to arbitrarily di-visible loads has become a significant pr...
International audienceIn this paper, we discuss several algorithms for scheduling divisible loads on...
(eng) Applications in many scientific and engineering domains are structured in large numbers of ind...
(eng) In this paper, we discuss several algorithms for scheduling divisible loads on heterogeneous s...
Quality of Service (QoS) provisioning for divisible loads in clusters can be enabled using real-time...
Many applications in scientific and engineering domains are structured as large numbers of independe...
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...
Providing QoS and performance guarantees to arbitrarily divisible loads has become a significant pro...
Abstract Cluster Computing has emerged as a new paradigm for solving large-scale problems. To enhanc...
Providing QoS and performance guarantees to arbitrar-ily divisible loads has become a significant pr...
Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and...
Cluster computing has emerged as a new paradigm for solv-ing large-scale problems. To enhance QoS an...
Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and...
Recent research in real-time divisible load theory (RT-DLT) has addressed the problem of distributin...
Providing QoS and performance guarantees to arbitrarily di-visible loads has become a significant pr...
International audienceIn this paper, we discuss several algorithms for scheduling divisible loads on...
(eng) Applications in many scientific and engineering domains are structured in large numbers of ind...
(eng) In this paper, we discuss several algorithms for scheduling divisible loads on heterogeneous s...
Quality of Service (QoS) provisioning for divisible loads in clusters can be enabled using real-time...
Many applications in scientific and engineering domains are structured as large numbers of independe...
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...