Adaptive Offloading Inference for Delivering Applications in Pervasive Computing Environments
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
On Composite Web Services Provisioning in an Environment of Fixed and Mobile Computing Resources
Information Technology and Management
Adaptive Offloading for Pervasive Computing
IEEE Pervasive Computing
A Compiler and Runtime Infrastructure for Automatic Program Distribution
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Power-Aware Network Swapping for Wireless Palmtop PCs
IEEE Transactions on Mobile Computing
Mobile service overlays: reconfigurable middleware for MANETs
MobiShare '06 Proceedings of the 1st international workshop on Decentralized resource sharing in mobile computing and networking
Context-Aware Migratory Services in Ad Hoc Networks
IEEE Transactions on Mobile Computing
Resilient actors: a runtime partitioning model for pervasive computing services
Proceedings of the 2009 international conference on Pervasive services
Evaluation of dynamic clustering architecture for utilising mobile resources
PDCN '08 Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks
An ad hoc approach to achieve collaborative computing with pervasive devices
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Dynamically partitioning applications between weak devices and clouds
Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond
Scheduling and development support in the Scavenger cyber foraging system
Pervasive and Mobile Computing
CloneCloud: elastic execution between mobile device and cloud
Proceedings of the sixth conference on Computer systems
Energy-efficient workflow distribution
Proceedings of the 5th International Conference on Communication System Software and Middleware
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
COCA: Computation Offload to Clouds Using AOP
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Energy-aware keyword search on mobile phones
Proceedings of the first edition of the MCC workshop on Mobile cloud computing
Refactoring android Java code for on-demand computation offloading
Proceedings of the ACM international conference on Object oriented programming systems languages and applications
COMET: code offload by migrating execution transparently
OSDI'12 Proceedings of the 10th USENIX conference on Operating Systems Design and Implementation
ECOS: leveraging software-defined networks to support mobile application offloading
Proceedings of the eighth ACM/IEEE symposium on Architectures for networking and communications systems
Bandwidth-adaptive partitioning for distributed execution optimization of mobile applications
Journal of Network and Computer Applications
| Hi-index | 0.00 |
Many visions of the future predict a world with pervasive computing, where computing services and resources permeate the environment. In these visions, people will want to execute a service on any available device without worrying about whether the servicehas been tailored for the device. We believe that it will be difficult to create services that can execute well on the wide variety of devices that are being developed because of problems with diversity and resource constraints.We believe that these problems can be greatly reduced by using an ad-hoc distributed platform to transparently offload portions of a service from a resource-constrained device to a nearby server. We have implemented a preliminary prototype and emulator to study this approach. Our experiments show the beneficial use of nearby resources to relieve both memory and processing constraints, when it is appropriate to do so. We believe that this approach will reduce the burden on developers by masking more device details.