5 citations · 13 across the 7 of their papers we have counts for
7 papers
Heterogeneous MacroTasking (HeMT) for Parallel Processing in the Public Cloud
Yuquan Shan, George Kesidis, Bhuvan Urgaonkar +3
Using tiny, equal-sized tasks (Homogeneous microTasking, HomT) has long been regarded an effective way of load balancing in parallel computing systems. When combined with nodes pul…
Online Scheduling of Spark Workloads with Mesos using Different Fair Allocation Algorithms
Yuquan Shan, Aman Jain, George Kesidis +3
In the following, we present example illustrative and experimental results comparing fair schedulers allocating resources from multiple servers to distributed application framework…
Moving-target Defense against Botnet Reconnaissance and an Adversarial Coupon-Collection Model
Neda Nasiriani, Yuquan Shan, George Kesidis +3
We consider a cloud based multiserver system consisting of a set of replica application servers behind a set of proxy (indirection) servers which interact directly with clients ove…
Scheduling Distributed Resources in Heterogeneous Private Clouds
George Kesidis, Yuquan Shan, Yujia Wang +3
We first consider the static problem of allocating resources to ( i.e. , scheduling) multiple distributed application framework s, possibly with different priorities and server pre…
Numerical Evaluation of Cloud-Side Shuffling Defenses against DDoS Attacks on Proxied Multiserver Systems
Yuquan Shan, George Kesidis, Daniel Fleck +1
We consider a cloud based multiserver system, that may be cloud based, consisting of a set of replica application servers behind a set of proxy (indirection) servers which interact…
Network calculus for parallel processing
G. Kesidis, B. Urgaonkar, Y. Shan +2
In this note, we present preliminary results on the use of "network calculus" for parallel processing systems, specifically MapReduce.
Generation bidding game with flexible demand
Yuquan Shan, Jayaram Raghuram, George Kesidis +5
For a simple model of price-responsive demand, we consider a deregulated electricity marketplace wherein the grid (ISO, retailer-distributor) accepts bids per-unit supply from gene…