The Double Edge Sword Based Distributed Executor Service

Scalability is one of the most important quality attribute software-intensive systems, because it maintains an effective performance parallel to large fluctuating and sometimes unpredictable workload. In order achieve scalability, thread pool system (TPS) (which also known as executor service) has been used extensively a middleware service in systems. TPS optimization challenging problem that determines optimal size dynamically on runtime. case distributed-TPS (DTPS), another issue load balancing b/w available set TPSs running at backend servers. Existing DTPSs are overloaded either due inappropriate strategy servers or improper scheme cannot quickly recover overload. Consequently, suffered. Thus, this paper, we propose new DTPS follows collaborative round robin effect double-edge sword. On hand, effectively performs (in overload situation) among by fast recovery procedure decelerates up their capacities shifts remaining towards other gracefully TPSs. And its robust deceleration technique which applied sets appropriate upper bound size, each kept equal request rate it, hence optimizes TPS. We evaluated results proposed against state art client-server based simulator found our outperformed sustaining smaller response times.