The iPlant Collaborative (iPlant) is a United States National Science Foundation (NSF)
funded project that aims to create an innovative, comprehensive, and foundational …

Efficient task and workflow scheduling are very important for improving resource
management and reducing power consumption in cloud computing data centers (DCs) …

Researchers working on the planning, scheduling, and execution of scientific workflows
need access to a wide variety of scientific workflows to evaluate the performance of their …

Simulation is one of the most popular evaluation methods in scientific workflow studies.
However, existing workflow simulators fail to provide a framework that takes into …

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers
complete coverage of modern distributed computing technology including clusters, the grid …

This paper describes the Pegasus framework that can be used to map complex scientific
workflows onto distributed resources. Pegasus enables users to represent the workflows at …

Researchers working on the planning, scheduling and execution of scientific workflows
need access to a wide variety of scientific workflows to evaluate the performance of their …

Today's computational, experimental, and observational sciences rely on computations that
involve many related tasks. The success of a scientific mission often hinges on the computer …

摘要云计算环境下面向流程的数据密集型应用已被广泛应用于多个领域. 面对多数据中心的云
计算环境, 这类应用在数据布局方面遇到了新的挑战, 主要表现在如何减少跨数据中心的数据 …

With the advent of Grid and application technologies, scientists and engineers are building
more and more complex applications to manage and process large data sets, and execute …