Dear,

Task Scheduling of cloud computing refers to dispatch the computing tasks to resource pooling between different resource users according to certain rules of resource use under a given cloud circumstances. At present there is not a uniform standard for task scheduling in cloud computing.

algorithms in cloud computing can be categorized into two ;

Batch Mode :

Tasks are queued and collected into a set when they arrive in the system. The scheduling algorithm will start after a fixed period of time . Some example of Batch Mode.

a. First Come First Serve Algorithm

b. Round Robin Algorithm:

c. Min–Min Algorithm:

Online Mode:

Tasks are scheduled when they arrive in the system. Since the cloud environment is a heterogeneous system and the speed of each processor varies quickly, its more appropriate for a cloud environment . Some example of Online Mode.

a. Most Fit Task Scheduling Algorithm:

Parameter, effect efficiency in Cloud and OS

As we know in Cloud environment multiple VMs can share physical resources (CPU, memory, and bandwidth) on a single physical host and multiple VMs can share the bandwidth of a data center by using network virtualization. Therefor, many system parameters, such as CPU, memory space, and network bandwidth, affect the efficiency of task scheduling in cloud environment. But on the other hand, task scheduling in OS, memory and processor effect their efficiency.

Process scheduling related to operating system which shares single CPU resources among the running programs.

Task scheduling related to cloud computing where, based on the task scheduling algorithms, tasks which are ready for execution from queue are selected and load them in to effective resource of data center for better performance .