The Coign automatic distributed partitioning system
OSDI '99 Proceedings of the third symposium on Operating systems design and implementation
Adaptive Offloading Inference for Delivering Applications in Pervasive Computing Environments
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Towards a Distributed Platform for Resource-Constrained Devices
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Hilda: A High-Level Language for Data-DrivenWeb Applications
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
HOP: achieving efficient anonymity in MANETs by combining HIP, OLSR, and pseudonyms
Companion to the 21st ACM SIGPLAN symposium on Object-oriented programming systems, languages, and applications
A unified platform for data driven web applications with automatic client-server partitioning
Proceedings of the 16th international conference on World Wide Web
Reliable and efficient programming abstractions for wireless sensor networks
Proceedings of the 2007 ACM SIGPLAN conference on Programming language design and implementation
An effective offloading middleware for pervasive services on mobile devices
Pervasive and Mobile Computing
Secure web applications via automatic partitioning
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
Wishbone: profile-based partitioning for sensornet applications
NSDI'09 Proceedings of the 6th USENIX symposium on Networked systems design and implementation
Links: web programming without tiers
FMCO'06 Proceedings of the 5th international conference on Formal methods for components and objects
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HotOS'09 Proceedings of the 12th conference on Hot topics in operating systems
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Enhancing enterprise field productivity via cross platform mobile cloud apps
MCS '11 Proceedings of the second international workshop on Mobile cloud computing and services
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Computers & Mathematics with Applications
Dynamic data processing middleware for sensor networks
GPC'11 Proceedings of the 6th international conference on Grid and Pervasive Computing
ECOS: practical mobile application offloading for enterprises
Hot-ICE'12 Proceedings of the 2nd USENIX conference on Hot Topics in Management of Internet, Cloud, and Enterprise Networks and Services
Cloudlets: bringing the cloud to the mobile user
Proceedings of the third ACM workshop on Mobile cloud computing and services
Design and evaluation of mobile applications with full and partial offloadings
GPC'12 Proceedings of the 7th international conference on Advances in Grid and Pervasive Computing
ECOS: leveraging software-defined networks to support mobile application offloading
Proceedings of the eighth ACM/IEEE symposium on Architectures for networking and communications systems
Review: Application mobility in pervasive computing: A survey
Pervasive and Mobile Computing
Adaptive deployment in ad-hoc systems using emergent component ensembles: vision paper
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
Hybrid contextual cloud in ubiquitous platforms comprising of smartphones
International Journal of Intelligent Systems Technologies and Applications
Bandwidth-adaptive partitioning for distributed execution optimization of mobile applications
Journal of Network and Computer Applications
Information Systems Frontiers
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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.