Deadline-constraint services in cloud with heterogeneous servers

The development of delay sensitive applications needs massive data storage and computing resources, especially in a typical cloud environment. The cloud computing paradigm provides a broad range of services viz. software, platform, and infrastructure for various applications (both real-time and non real-time) over the Internet. But, in the case of Infrastructure-as-a-Service (IaaS) cloud platform, either over provisioning or under-provisioning of resources becomes a challenging issue for time constraint applications. An accurate modeling of cloud centers is not feasible due to the nature of cloud centers and diversity of user requests. We present an analytical model to estimate the performance of the cloud center for deadline sensitive tasks. We used the model to find the number of task miss deadline, waiting time of a task, and response time of the service, among others.