Cloud computing is a state-of-the-art distributed computing paradigm which can support on-demand service sharing with flexibility and scalability. Cloud computing provides sharable heterogeneous computing resources using internet and data storage on a third party server. In order to use the heterogeneous computing resources in a much more efficient, scalable and flexible way, a Cloud computing infrastructure HCCloud (Heterogeneous Computing Cloud) has developed. With HCCloud, users no longer have to manually setup machine, or determine where and when to schedule their tasks. By pooling together clusters all over the network, resources are used more efficiently as the infrastructure is self-adaptive to the resources changes, and tasks distribution is fully automated with the best match between task requirements and compute capacity which deployed across a variety physical resources. In this paper we introduce the basic principles of the HCCloud design, and discuss some techniques that have made in order to allow HCCloud to be easily accessed over the Web. The main intention of HCCloud is to decrease the configuration scale of the cluster system through heterogeneous workloads, while increasing the number of requests for parallel workload by provisioning enough resource
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.