Divisible load applications have received a lot of attention in recentscheduling literature. These applications consist of an amount of computation, or load, that can be divided arbitrarily into independent pieces. The problem of Divisible Load Scheduling (DLS) has been studied extensively, but mostly from the theoretical standpoint. In this paper we focus on practical issues and make the following contributions: we implement previously proposed DLS algorithms as part of a generic production Grid application execution environment, APST; we evaluate and compare these algorithms on a real-world two-cluster platform; and weuncover several issues that are critical for using DLS theory in practice effectively. To the best of our knowledge the s...
In many data grid applications, data can be decomposed into multiple independent sub-datasets and di...
Cluster computing has emerged as a new paradigm for solv-ing large-scale problems. To enhance QoS an...
In this paper we introduce the Divisible Load Scheduling (DLS) family of algorithms for data-intensi...
Divisible load applications consist of a load, that is input data and associated computation, that c...
Abstract: Scheduling an application in data grid was significantly complex and very challenging beca...
Problem statement: In many data grid applications, data can be decomposed into multiple independent ...
(eng) Applications in many scientific and engineering domains are structured in large numbers of ind...
Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and...
Many applications in scientific and engineering domains are structured as large numbers of independe...
(eng) Divisible load applications consist of an amount of data and associated computation that can b...
In many data grid applications, data can be decomposed into multiple independent sub data sets and d...
Applications in many scientific and engineering domains are structured in large numbers of independe...
In many data grid applications, data can be decomposed into multiple independent sub datasets and d...
In many data grid applications, data can be decomposed into multiple independent sub datasets and di...
Scheduling an application in data grid was significantly complex and very challenging because of its...
In many data grid applications, data can be decomposed into multiple independent sub-datasets and di...
Cluster computing has emerged as a new paradigm for solv-ing large-scale problems. To enhance QoS an...
In this paper we introduce the Divisible Load Scheduling (DLS) family of algorithms for data-intensi...
Divisible load applications consist of a load, that is input data and associated computation, that c...
Abstract: Scheduling an application in data grid was significantly complex and very challenging beca...
Problem statement: In many data grid applications, data can be decomposed into multiple independent ...
(eng) Applications in many scientific and engineering domains are structured in large numbers of ind...
Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and...
Many applications in scientific and engineering domains are structured as large numbers of independe...
(eng) Divisible load applications consist of an amount of data and associated computation that can b...
In many data grid applications, data can be decomposed into multiple independent sub data sets and d...
Applications in many scientific and engineering domains are structured in large numbers of independe...
In many data grid applications, data can be decomposed into multiple independent sub datasets and d...
In many data grid applications, data can be decomposed into multiple independent sub datasets and di...
Scheduling an application in data grid was significantly complex and very challenging because of its...
In many data grid applications, data can be decomposed into multiple independent sub-datasets and di...
Cluster computing has emerged as a new paradigm for solv-ing large-scale problems. To enhance QoS an...
In this paper we introduce the Divisible Load Scheduling (DLS) family of algorithms for data-intensi...