Fuzzing network servers is a technical challenge, since the behavior of target server depends on its state over sequence multiple messages. Existing solutions are costly and difficult to use, as they rely manually-customized artifacts such protocol models, parsers, learning frameworks. The aim this work develop greybox fuzzer (StateaAFL) for that only relies lightweight analysis program, with n...

In this paper, we consider a multi-server queuing system in which additional servers are allowed for a longer queue to reduce the customer’s balking and reneging behavior. The customers are assumed to arrive in Poisson fashion and their service- times follow exponential distribution. The number of servers in long run depends on the queue-length. We obtain equilibrium queue size distribution. Th...

The traditional client server paradigm for distributed computing, xes the func-tionality and interfaces provided by server processes at design time. This paper describes a more exible paradigm, elastic servers, whose functionality can be extended at execution time by delegating new functional procedures to them. Lacking this ability forces applications to engage in abnormally ne grained and com...