The performance variation of cloud resources makes it difficult to run certain scientific
applications in the cloud because of their unique synchronization and communication …

A centralized scheduler can become a bottleneck for placing the tasks of a many-task
application on heterogeneous cloud resources. We have previously demonstrated that a …

A centralized scheduler can become a bottleneck for placing the tasks of a many-task
application on heterogeneous cloud resources. Previously, it was demonstrated that a …

Abstract While Cloud Computing has transformed how we solve many computing tasks,
some scientific and many-task applications are not efficiently executed on cloud resources …

A centralized scheduler can become a bottleneck for placing the tasks of a many-task
application on heterogeneous cloud resources. We have previously demonstrated that a de …

Executing a large program using clouds is a promising approach, as this class of programs
may be decomposed into multiple sequences of tasks that can be executed on multiple …

For executing current simulated scientific experiments it is necessary to have huge amounts
of computing power. A solution path to this problem is the federated Cloud model, where …

The availability of Infrastructure-as-a-Service (IaaS) computing clouds gives researchers
access to a large set of new resources for running complex scientific applications. However …

Cloud computing is one of the fastest growing technologies which delivers online services to
a consumer on pay-per-use basis. Recently, the concept of multi-cloud environment has …

One new metric that plays a vital role in evaluating the cloud service is the multi-application
makespan. There are usually multiple applications without a deadline in the cloud, while the …