Cloud computing is the requirement based on clients and provides many resources that aim to share it as a service through internet. For optimal use, such storage, application, other services need managing scheduling these services. The principal idea behind minimize loss time, workload, maximize throughput. So, task essential achieve accuracy correctness completion. This paper gives an about va...

We present a technique for generalizing previously known results for single resource task systems to multiresource malleable task systems: Assuming a system with s resources, we apply a transformation which maps the system into a single resource task system. For a large class of heuristics it is shown, that given a heuristic H which achieves a suboptimality bound of c H with respect to the opti...

Task scheduling is key issue in obtaining high performance in heterogeneous systems. Task scheduling in heterogeneous systems is a NP-problem, therefore several heuristic approaches were proposed to solve it. These heuristics are categorized into several classes, such as list based, clustering and task duplication scheduling. Here I consider the list scheduling approach. In this paper, I will h...

We present a new task model for the real-time execution of event-driven tasks in which no a priori characterization of the actual arrival rates of events is known; only the expected arrival rates of events is known. We call this new task model rate-based execution (RBE), and it is a generalization of the common sporadic task model. The RBE model is motivated naturally by distributed multimedia ...