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8/29/2018: Faculty Senate Approved Meeting Minutes
No full text8-29-18 Motion to acclaim and elect 3 nominated members for Thesis Committee. Vote: 11,0,0 - PASSE
11/14/2018: Course Change Form MATH 627
No full textThis is a required course for candidates for the “Master of Science in Data Science” program. It provides necessary background in probability to study statistical analysis methods and modeling for data science
Efficient Redundancy Techniques in Cloud and Desktop Grid Systems using MAP/G/c-type Queues
Get PDFCloud computing is continuing to prove its flexibility and versatility in helping industries and businesses as well as academia as a way of providing needed computing capacity. As an important alternative to cloud computing, desktop grids allow to utilize the idle computer resources of an enterprise/community by means of distributed computing system, providing a more secure and controllable environment with lower operational expenses. Further, both cloud computing and desktop grids are meant to optimize limited resources and at the same time to decrease the expected latency for users. The crucial parameter for optimization both in cloud computing and in desktop grids is the level of redundancy (replication) for service requests/workunits. In this paper we study the optimal replication policies by considering three variations of Fork-Join systems in the context of a multi-server queueing system with a versatile point process for the arrivals. For services we consider phase type distributions as well as shifted exponential and Weibull. We use both analytical and simulation approach in our analysis and report some interesting qualitative results