9 citations · 41 across the 13 of their papers we have counts for
13 papers
Local Differential Privacy for Bayesian Optimization
Xingyu Zhou, Jian Tan
Motivated by the increasing concern about privacy in nowadays data-intensive online learning systems, we consider a black-box optimization in the nonparametric Gaussian process set…
Heavy-traffic Delay Optimality in Pull-based Load Balancing Systems: Necessary and Sufficient Conditions
Xingyu Zhou, Jian Tan, Ness Shroff
In this paper, we consider a load balancing system under a general pull-based policy. In particular, each arrival is randomly dispatched to one of the servers whose queue lengths a…
Flexible Load Balancing with Multi-dimensional State-space Collapse: Throughput and Heavy-traffic Delay Optimality
Xingyu Zhou, Jian Tan, Ness Shroff
Heavy traffic analysis for load balancing policies has relied heavily on the condition of state-space collapse onto a single-dimensional line in previous works. In this paper, via…
Fork and Join Queueing Networks with Heavy Tails: Scaling Dimension and Throughput Limit
Yun Zeng, Jian Tan, Cathy H. Xia
Parallel and distributed computing systems are foundational to the success of cloud computing and big data analytics. These systems process computational workflows in a way that ca…
Asymptotic Miss Ratio of LRU Caching with Consistent Hashing
Kaiyi Ji, Guocong Quan, Jian Tan
To efficiently scale data caching infrastructure to support emerging big data applications, many caching systems rely on consistent hashing to group a large number of servers to fo…
Designing Low-Complexity Heavy-Traffic Delay-Optimal Load Balancing Schemes: Theory to Algorithms
Xingyu Zhou, Fei Wu, Jian Tan +2
We establish a unified analytical framework for load balancing systems, which allows us to construct a general class of policies that are both throughput optimal and heavy-traf…