Caching is a widely used technique to improve the scalability of distributed systems. A central issue with caching is maintaining object replicas consistent with their master copies. Large distributed systems, such as the Web, typically deploy heuristic-based consistency mechanisms, which increase delay and place extra load on the servers, while not providing guarantees that cached copies serve...

Policy iteration techniques for multiple-server dispatching rely on the computation of value functions. In this context, we consider continuous-space M/G/1-FCFS queue endowed with an arbitrarily designed cost function waiting times incoming jobs. The associated relative is a solution Poisson’s equation Markov chains, which in work solve Laplace transform domain by considering ancillary, underly...

Balancing load in cloud based is an important aspect that plays a vital role order to achieve sharing of between different types resources such as virtual machines lay on servers, storage the form hard drives and servers. Reinforcement learning approaches can be adopted with computing quality service factors minimized cost response time, increased throughput, fault tolerance utilization all ava...

Supporting on-demand access to large widely shared data, such as popular video objects, requires effective use of regional (proxy) servers that store some of the data close to the clients. The proxy caching problem is more complex in the context of continuous media files because of the need to consider bandwidth as well as storage constraints at the proxy servers, and because of the bandwidth s...

In this paper, we analyse a feedback queue network in stochastic and fuzzy environment. We consider model with three heterogeneous servers which are commonly attached to server starting. At the initial stage, all performance measures obtained steady-state that is After that, work extended environment because practically characteristics of system not exact, they uncertain nature. present use pro...