Editing Stochastic process (section)

==== Queuing Theory ====
Another significant application of stochastic processes in computer science is in '''queuing theory''', which models the random arrival and service of tasks in a system.<ref>{{Cite book |last=Shortle |first=John F. |title=Fundamentals of queueing theory |last2=Thompson |first2=James M. |last3=Gross |first3=Donald |last4=Harris |first4=Carl M. |date=2017 |publisher=John Wiley & Sons |isbn=978-1-118-94352-6 |edition=Fifth |series=Wiley series in probability and statistics |location=Hoboken, New Jersey}}</ref> This is particularly relevant in network traffic analysis and server management. For instance, queuing models help predict delays, manage resource allocation, and optimize throughput in web servers and communication networks. The flexibility of stochastic models allows researchers to simulate and improve the performance of high-traffic environments. For example, queueing theory is crucial for designing efficient data centers and cloud computing infrastructures.<ref>{{Cite book |title=Fundamentals of queueing theory |date=2018 |publisher=John Wiley & Sons |isbn=978-1-118-94356-4 |edition=5 |location=Hoboken}}</ref>