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Cloud infrastructures have seen increasing popularity for addressing the growing computational needs of today's scientific and engineering applications. However, resource management challenges exist in the elastic cloud environment, such as resource provisioning and task allocation, especially when data movement between multiple domains plays an important role. In this work, we study the impact of data-aware resource management and scheduling on scientific workflows in multicloud environments.doi:10.1109/cloudcom.2014.19 dblp:conf/cloudcom/TangJMRKWYLD14 fatcat:tma42lfk5vfc7haxlvcdfv7vr4