The grid computing system can support the execution of computationally intensive parallel and distributive applications. The main characteristics of grid computing and heterogeneous computing system are similar. A novel scheduling algorithm, called NHEFT is proposed in this paper to enhance the functions of heterogeneous Earliest-Finish time (HEFT) algorithm. The NHEFT algorithm works for a bounded number of heterogeneous processors, the main objective of NHEFT is getting high performance and fast scheduling. The algorithm selects the tasks with a rank system at each step of execution of algorithm, which minimize earliest finish time with the minimization of cost
The demand for high computational power has developed more rapidly in the past few years. The ever-i...
The demand for high computational power has developed more rapidly in the past few years. The ever-i...
AbstractIn parallel computation, the scheduling and mapping tasks is considered the most critical pr...
Task scheduling is critical in heterogenous systems, especially with the huge number of tasks tran...
There are two algorithms for heterogeneous computing environment. They are Heterogeneous Earliest Fi...
Task scheduling is critical in heterogeneous systems especially with the huge number of tasks transm...
As we know there are different algorithms based on heterogeneous environment. Earliest finish time a...
High-performance heterogeneous computing systems are achieved by the use of efficient application sc...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...
Efficient task scheduling is essential for obtaining high performance in heterogeneous distributed c...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...
Grid computing is the framework of computer systems that provides high performance computing environ...
Scheduling tasks on heterogeneous resources distributed over a grid computing system is an NP-comple...
Efficient application scheduling is critical for achieving high performance in heterogeneous computi...
AbstractScheduling tasks on heterogeneous resources distributed over a grid computing system is an N...
The demand for high computational power has developed more rapidly in the past few years. The ever-i...
The demand for high computational power has developed more rapidly in the past few years. The ever-i...
AbstractIn parallel computation, the scheduling and mapping tasks is considered the most critical pr...
Task scheduling is critical in heterogenous systems, especially with the huge number of tasks tran...
There are two algorithms for heterogeneous computing environment. They are Heterogeneous Earliest Fi...
Task scheduling is critical in heterogeneous systems especially with the huge number of tasks transm...
As we know there are different algorithms based on heterogeneous environment. Earliest finish time a...
High-performance heterogeneous computing systems are achieved by the use of efficient application sc...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...
Efficient task scheduling is essential for obtaining high performance in heterogeneous distributed c...
Grid computing has emerged from category of distributed and parallel computing where the heterogeneo...
Grid computing is the framework of computer systems that provides high performance computing environ...
Scheduling tasks on heterogeneous resources distributed over a grid computing system is an NP-comple...
Efficient application scheduling is critical for achieving high performance in heterogeneous computi...
AbstractScheduling tasks on heterogeneous resources distributed over a grid computing system is an N...
The demand for high computational power has developed more rapidly in the past few years. The ever-i...
The demand for high computational power has developed more rapidly in the past few years. The ever-i...
AbstractIn parallel computation, the scheduling and mapping tasks is considered the most critical pr...