Article ID: | iaor20117987 |
Volume: | 12 |
Issue: | 3 |
Start Page Number: | 253 |
End Page Number: | 272 |
Publication Date: | Sep 2011 |
Journal: | Information Technology and Management |
Authors: | Dutta Kaushik, VanderMeer Debra, Ramamritham Krithi |
Keywords: | allocation: resources |
As RFID installations become larger and more geographically distributed, their scalability becomes a concern. Currently, most RFID processing occurs in a central location, gathering tag scans and matching them to event‐condition‐action (ECA) rules. However, as the number of scans and ECA rules grows, the workload quickly outpaces the capacity of a centralized processing server. In this paper, we consider the problem of distributing the RFID processing workload across multiple nodes in the system. We describe the problem, and present an overview of our approach. We then formulate two decision models for distributing the processing across the system. One generates an optimal allocation based on global awareness of the state of the system. This problem is