According to the special features of the dynamic heterogeneous grid environment, a loose-coupled and scalable resource model is described by a hybrid multi-level tree reflecting actual networks for organizing distributed resources. The resource model is maintained in a distributed way, making it loose-coupled and scalable, which is practical for many grid applications, especially for sequence analysis in Bioinformatics. Algorithms of resource location and job scheduling are discussed. The divisible load theory (DLT) is introduced to grid computing through applying divisible load scheduling on the model, an algorithm called recursively equivalence is presented to overcome difficulties in developing DLT analysis on the dynamic heterogeneous t...
Abstract: Scheduling divisible workloads in distributed systems has been one of the interesting res...
Divisible Load Theory (DLT) was introduced to resolve scheduling problems in a Distributed Computing...
In many data grid applications, data can be decomposed into multiple independent sub data sets and d...
In many data grid applications, data can be decomposed into multiple independent sub-datasets and di...
Problem statement: In many data grid applications, data can be decomposed into multiple independent ...
Abstract: Scheduling an application in data grid was significantly complex and very challenging beca...
To date solutions for optimal finish time and job allocation in divisible load theory are largely ob...
During the last decade, the use of parallel and distributed systems has become more common. In these...
Scheduling an application in data grid was significantly complex and very challenging because of its...
Workload and resource management are two essential functions provided at the service level of the gr...
Abstract—In this paper, we propose distributed algorithms referred to as Resource-Aware Dynamic Incr...
AbstractTo date closed form solutions for optimal finish time and job allocation are largely obtaine...
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...
The use of parallel and distributed systems has become very common in the last decade. Dividing data...
Abstract: Scheduling divisible workloads in distributed systems has been one of the interesting res...
Divisible Load Theory (DLT) was introduced to resolve scheduling problems in a Distributed Computing...
In many data grid applications, data can be decomposed into multiple independent sub data sets and d...
In many data grid applications, data can be decomposed into multiple independent sub-datasets and di...
Problem statement: In many data grid applications, data can be decomposed into multiple independent ...
Abstract: Scheduling an application in data grid was significantly complex and very challenging beca...
To date solutions for optimal finish time and job allocation in divisible load theory are largely ob...
During the last decade, the use of parallel and distributed systems has become more common. In these...
Scheduling an application in data grid was significantly complex and very challenging because of its...
Workload and resource management are two essential functions provided at the service level of the gr...
Abstract—In this paper, we propose distributed algorithms referred to as Resource-Aware Dynamic Incr...
AbstractTo date closed form solutions for optimal finish time and job allocation are largely obtaine...
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...
The use of parallel and distributed systems has become very common in the last decade. Dividing data...
Abstract: Scheduling divisible workloads in distributed systems has been one of the interesting res...
Divisible Load Theory (DLT) was introduced to resolve scheduling problems in a Distributed Computing...
In many data grid applications, data can be decomposed into multiple independent sub data sets and d...