The dangers of replication and a solution
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Adaptive precision setting for cached approximate values
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
GHT: a geographic hash table for data-centric storage
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
QoS Management in Replicated Real Time Databases
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Feedback Control of Computing Systems
Feedback Control of Computing Systems
EnviroTrack: Towards an Environmental Computing Paradigm for Distributed Sensor Networks
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Adaptive stream resource management using Kalman Filters
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Real-Time Databases and Data Services
Real-Time Systems
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Feedback Utilization Control in Distributed Real-Time Systems with End-to-End Tasks
IEEE Transactions on Parallel and Distributed Systems
TSAR: a two tier sensor storage architecture using interval skip graphs
Proceedings of the 3rd international conference on Embedded networked sensor systems
Load Balancing in Bounded-Latency Content Distribution
RTSS '05 Proceedings of the 26th IEEE International Real-Time Systems Symposium
Funneling-MAC: a localized, sink-oriented MAC for boosting fidelity in sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
PRESTO: feedback-driven data management in sensor networks
NSDI'06 Proceedings of the 3rd conference on Networked Systems Design & Implementation - Volume 3
DEUCON: Decentralized End-to-End Utilization Control for Distributed Real-Time Systems
IEEE Transactions on Parallel and Distributed Systems
Load shedding in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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It is a challenging task to provide timely access to global data from sensors in large-scale sensor network applications. Current data storage architectures for sensor networks have to make trade-offs between timeliness and scalability. PRIDE is a data abstraction layer for 2-tier sensor networks, which enables timely access to global data from the sensor tier to all participating nodes in the upper storage tier. The design of PRIDE is heavily influenced by collaborative real-time applications such as search-and-rescue tasks for high-rise building fires, in which multiple devices have to collect and manage data streams from massive sensors in cooperation. PRIDE achieves scalability, timeliness, and flexibility simultaneously for such applications by combining a model-driven full replication scheme and adaptive data quality control mechanism in the storage-tier. We show the viability of the proposed solution by implementing and evaluating it on a large-scale 2-tier sensor network testbed. The experiment results show that the model-driven replication provides the benefit of full replication in a scalable and controlled manner.