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The Need for Real-Time Distributed Smart Agent Network
Placing business logic application intelligence at the edge of the network is essential to scaling and the full deployment of workflow optimization solutions for the logistics, transportation, retail, manufacturing, and smart grid industries. The integration of business process execution at the edge not only minimizes deployment costs but substantially simplifies smart sensors integration without disruption to existing business processes and backend systems.  The ability to provide real-time analytics at the edge also increases efficiencies by speeding up decisions process right where it is needed.

By simplifying workflow development and deployment, smart agent networks also ensure nearly immediate ROI for large and small businesses with automation of sensors and actuator, reduced cost of inventory, real-time visibility, reduction in exception handling, and much more efficient supply chain processes. As a result, the enhanced business process optimization can ultimately exceed user, customer, employee, and management satisfaction benchmarks.
 
Innovative Smart Agent Network
Omnitrol Networks has developed the industry’s first Smart Agent Networks in production deployments today. The OMNITROL Smart Agent Network is pioneering the delivery of real-time distributed visibility and control services through the convergence of advanced sensor network technology with existing business process at the edge of the network.
 
The OMNITROL Smart Agent Network:
  • Powerful real-time edge and cloud-based Software as a Service (SaaS) delivery model
  • Open Event-driven SOA architecture enabling extensibility and third-party application integration
  • Open standards-based approach supporting freedom of choice with interchangeable technology
  • Multi-Linux O/S (Redhat, Ubuntu, SuSe) and VMware multi-service delivery
  • Mobile device client support for Java and .Net platforms
  • Incrementally scalable and load-balanced cloud-server architecture
  • Event-driven architecture for real-time data capture, increased processing capacity and efficient throughput
  • Multi-tier security through LDAP based authentication and authorization
  • High availability through automated hot-standby fail-over 
    • Redundant real-time database architecture
    • Replicated service instances