A load control system for a Multi-Application/Process
Multimedia&Telecommunication System is disclosed. A typical Internet
Services Server does not provide any support to limit the rate of
connections per second and/or the rate of requests per second to
dynamically adapt to server load and/or satisfy a policy constraint on
service guarantees. As a result, it is likely for an Internet Services
Server to become saturated (overloaded) when servicing content to
clients. In an overloaded condition, a typical server suffers severe
performance degradation, with the overall throughput falling
significantly and client connectivity and perceived performance such as
the delay in completing the request) becoming unpredictable. The
invention solves these problems by a mechanism which is based on the use
of a fuzzy logic expert system. The fuzzy logic expert system computes in
a first step (NOM, Normal OperationMode) an overload level (load
monitoring and overload detection) for the system according to the
monitored resources (like CPU, memory, Ios, queues . . . ) and to a
predefined fuzzy logic rule-based scenario. If a defined overload level
is reached, then the FLEXSYS (Fuzzy Logic EXpert SYStem) computes in a
second step (OOM, Overload Operation Mode) which overload handling
actions (overload handling) have to be taken (according to a second
FLEXSYS scenario).
