An Enhanced Job Scheduling in Cloud Environment Using Probability Distribution

Today's world is an information technology’s era in that cloud computing arises as promising
and developing technology. In the surroundings of cloud computing the resources are provisioned on the
basis of demand, as and when required. A giant number of clients (uses cloud) in computation of cloud,
can request a number of services or cloud services at the very same time The users demand to access
resources are increasing now-a-days, due to this demand it becomes very hard in cloud for allocation of
cloud resources accurately and efficiently to the customers, that should satisfy requirements of customers
or users and preserve the SLA (service level agreement). Cloud faces many challenges as it is evolving
gradually, one of them is scheduling. Here, we contemplate job scheduling, in accordance to the type, of
the mission is and varying situation. To efficiently increase the allocating of resource in cloud, one of the
foremost job performed is job scheduling, so to get highest profit. Here, we apply, one among of the
effective algorithm, first-in-first-out (FIFO), along with markov process technique to prevent blocking
probability