SIMULATION OF A QUEUEING MODEL USEFUL IN CROWDSOURCING

Abstract

In this paper we study a multi-server queueing model in the context of crowdsourcing useful in service sectors. There are two types of arrivals to the system such that one group of customers after getting service from the system may serve (with a certain probability) another group. Through simulation we point out, even for a small value of this probability, the significant advantage in considering crowdsourcing by offering more traffic load (through increasing the rate of online customers without violating the stability condition) to the system resulting in more customers served (which in turn increasing the revenues when cost/profits are incorporated). Also, the role of correlation, especially a positive one, present in the inter-arrival times in the system performance measures is highlighted.