System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
The nesC language: A holistic approach to networked embedded systems
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Integrating polling, interrupts, and thread management
FRONTIERS '96 Proceedings of the 6th Symposium on the Frontiers of Massively Parallel Computation
Towards Real-Time Fault-Tolerant CORBA Middleware
Cluster Computing
Olympus: A High-Level Programming Model for Pervasive Computing Environments
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
Design and Performance of a Fault-Tolerant Real-Time CORBA Event Service
ECRTS '06 Proceedings of the 18th Euromicro Conference on Real-Time Systems
Design and Performance of a Fault-Tolerant Real-Time CORBA Event Service
ECRTS '06 Proceedings of the 18th Euromicro Conference on Real-Time Systems
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Evaluating MapReduce for Multi-core and Multiprocessor Systems
HPCA '07 Proceedings of the 2007 IEEE 13th International Symposium on High Performance Computer Architecture
Mars: a MapReduce framework on graphics processors
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
MapReduce System over Heterogeneous Mobile Devices
SEUS '09 Proceedings of the 7th IFIP WG 10.2 International Workshop on Software Technologies for Embedded and Ubiquitous Systems
A case for micro-cellstores: energy-efficient data management on recycled smartphones
Proceedings of the Seventh International Workshop on Data Management on New Hardware
Scheduling for real-time mobile MapReduce systems
Proceedings of the 5th ACM international conference on Distributed event-based system
P2P-MapReduce: Parallel data processing in dynamic Cloud environments
Journal of Computer and System Sciences
G-Hadoop: MapReduce across distributed data centers for data-intensive computing
Future Generation Computer Systems
Developing a mobile recommender system
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
MC2: on-the-fly mobile compute cloud for computational intensive task
Proceedings of the 5th IBM Collaborative Academia Research Exchange Workshop
Investigation on runtime partitioning of elastic mobile applications for mobile cloud computing
The Journal of Supercomputing
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The proliferation of increasingly powerful, ubiquitous mobile devices has created a new and powerful sensing and computational environment. Software development and application deployment in such distributed mobile settings is especially challenging due to issues of failures, concurrency, and lack of easy programming models. We present a framework which provides a powerful software abstraction that hides many of such complexities from the application developer. We design and implement a mobile MapReduce framework targeted at any device which supports Python and network connectivity. We have implemented our system on a testbed of Nokia N95 8GB smartphones and demonstrated the feasibility and performance of our approach.