Radio Frequency Identification (RFID) networks usually require many tags along with
readers and computation facilities. Those networks have limitations with respect to …

Grid computing enables large-scale resource sharing and collaboration for solving
advanced science and engineering applications. Central to the grid computing is the …

Cloud computing provides on demand resources for compute and storage requirements.
Private cloud is a good option for cost saving for executing workflow applications but when …

Cloud computing nowadays is playing major role in storage and processing huge tasks with
scalability options. Deadline based scheduling is the main focus when we process the tasks …

A scheduler must consider the heterogeneity and communication delays when scheduling
dependent tasks on a grid. The task‐scheduling problem is NP‐Complete in general, which …

This article presents an artificial hormone system for a completely decentralized realization
of self-organizing task allocation. We show that tight upper bounds for the real-time behavior …

Cloud computing has gained many attentions worldwide. Workflow systems become a
significant method for develop scientific applications. Therefore, workflow scheduling is …

This article presents an artificial hormone system for a completely decentralised realisation
of self-organising task allocation. We show tight upper bounds for the real-time behaviour of …

This article presents the concept of an artificial hormone system for a completely
decentralized realization of self-organizing task allocation. We show that tight upper bounds …

Application scheduling is crucial for grid computing environment. The failure of grid
resources poses a great challenge to it. Most existing application scheduling algorithms deal …