Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Modified Least-Laxity-First Scheduling Algorithm for Real-Time Tasks
RTCSA '98 Proceedings of the 5th International Conference on Real-Time Computing Systems and Applications
Simulating the power consumption of large-scale sensor network applications
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Sensor Grid: Integration ofWireless Sensor Networks and the Grid
LCN '05 Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary
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The integration of wireless sensor networks and grid computing is an emerging and promising area of research. Sensor grids extend the grid computing paradigm to the sharing of sensor resources in wireless sensor networks. By combining the complementary strengths of sensor networks and grid computing, sensor grids can support applications that require real-time information from the physical environment and vast amount of computational and storage resources. One of the major challenges in the design of sensor grids is how to efficiently schedule sensor jobs across the collection of sensor resources in a sensor grid. In this paper, we design an integrated and flexible scheduler for a sensor grid testbed. The scheduler makes use of several scheduling and load balancing algorithms to suit the characteristics of sensor jobs. We performed extensive evaluations to characterize the behaviour and performance of these scheduling and load balancing algorithms. Our performance results indicate that the sensor grid scheduler can provide a good tradeoff betweeen performance objectives such as sensor resource utilization, sensor job throughput, and sensor grid lifetime.