Dynamically partitioning applications between weak devices and clouds

Abstract

Mobile cloud computing applications run diverse workloads under diverse device platforms, networks, and clouds. Traditionally these applications are statically partitioned between weak devices and clouds, thus may be significantly inefficient in heterogeneous environments and workloads. We introduce the notion of dynamic partitioning of applications between weak devices and clouds and argue that this is key to addressing heterogeneity problems. We formulate the dynamic partitioning problem and discuss major research challenges around system support for dynamic partitioning.