CloneCloud: Boosting Mobile Device Applications Through Cloud Clone Execution

TL;DR

CloneCloud is a system that automatically partitions mobile applications to offload computation to the cloud, significantly improving performance and resource utilization on mobile devices.

Contribution

It introduces a novel system combining static analysis and dynamic profiling for automatic, fine-grained application partitioning between mobile devices and cloud clones.

Findings

Achieves up to 21.2x speedup in smartphone applications

Supports dynamic partitioning based on inputs and network conditions

Enables seamless offloading of application components to the cloud

Abstract

Mobile applications are becoming increasingly ubiquitous and provide ever richer functionality on mobile devices. At the same time, such devices often enjoy strong connectivity with more powerful machines ranging from laptops and desktops to commercial clouds. This paper presents the design and implementation of CloneCloud, a system that automatically transforms mobile applications to benefit from the cloud. The system is a flexible application partitioner and execution runtime that enables unmodified mobile applications running in an application-level virtual machine to seamlessly off-load part of their execution from mobile devices onto device clones operating in a computational cloud. CloneCloud uses a combination of static analysis and dynamic profiling to optimally and automatically partition an application so that it migrates, executes in the cloud, and re-integrates computation in a fine-grained manner that makes efficient use of resources. Our evaluation shows that CloneCloud can achieve up to 21.2x speedup of smartphone applications we tested and it allows different partitioning for different inputs and networks.