—In today's computer architectures, the con guration of the storage system as well as the distribution of blocks within them have a big impact on the system's performance. Different RAIDs levels can have a signi cant in uence on cost, reliability, scalability as well as performance. In this paper, we propose a basic fuzzy queueing model (M/M/1) to evaluate the fuzzy arrival rate as well as the ...

Many service systems use case managers, servers who are assigned multiple customers and have frequent, repeated interactions with each customer until the customer’s service is completed. Examples may be found in health care (emergency department physicians), contact centers (agents handling multiple on-line chats simultaneously) and social welfare agencies (social workers with multiple clients)...

Queueing models have their origin in the study of design problems of automatic telephone exchanges and were first analysed by the queueing pioneer A.K. Erlang in the early 1900s. In planning telephone systems to meet given performance criteria, questions were asked such as: How many lines are required in order to give a certain grade of service? What is the probability that a delayed customer h...

Performance predictions ooer the designer of parallel applications guidelines to make a selection from a range of parallel machines, optimise machine parameters or optimise the parallel compilation process. In this paper , queueing models of parallel applications running on shared-memory machines are studied. An important aspect of performance modelling is the question of eecient analysis. Ther...

Queueing models provide the basic frame work to get the optimum operating policies in production processes and service facilities. In transportation processes involving buses, aero planes, trains, ships, elevators and so on, bulk service queueing models are often encountered. Control chart technique analyzes the behavior of services and provides the prior idea about expected waiting time, maxim...

In this paper, the authors propose a new hard clustering method to provide objective knowledge on field of fuzzy queuing system. In this method, locally linear controllers are extracted and translated into the first-order Takagi-Sugeno rule base fuzzy model. In this extraction process, the region of fuzzy subspaces of available inputs corresponding to different implications is used to obtain th...