TURBO: an autonomous execution environment with scalability and load balancing features
R. Alfano, Gaetano Di Caprio · 2006
Execution environments and application servers require load balancing features in order to scale properly whilst maintaining high performance and availability, especially when running mission-critical services. Usually it is difficult to apply load balancing to real systems due to their complexity and lack of tools that support their application; moreover their integration requires changes that could break design cohesion or introduce unmanageable complexity. To overcome some of those limitations, we propose a system called "Telco Uniform Request Balancer" (TURBO), a distributed execution environment that is natively designed to provide autonomic high scalability and dynamic load balancing. TURBO integrates load balancing behavior effortlessly by self-organization through a collaborative behavior. The system is based on a peer-to-peer variant of the Linda distributed model and a "Poll when Idle" (PID) approach for load distribution.