2 citations · 3 across the 4 of their papers we have counts for
5 papers
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP
Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid +5
Resource allocation problems in many computer systems can be formulated as mathematical optimization problems. However, finding exact solutions to these problems using off-the-shel…
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks
Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi +6
Continuously monitoring a wide variety of performance and fault metrics has become a crucial part of operating large-scale datacenter networks. In this work, we ask whether we can…
Q-error Bounds of Random Uniform Sampling for Cardinality Estimation
Beibin Li, Yao Lu, Chi Wang +1
Random uniform sampling has been studied in various statistical tasks but few of them have covered the Q-error metric for cardinality estimation (CE). In this paper, we analyze the…
Approximate Partition Selection for Big-Data Workloads using Summary Statistics
Kexin Rong, Yao Lu, Peter Bailis +2
Many big-data clusters store data in large partitions that support access at a coarse, partition-level granularity. As a result, approximate query processing via row-level sampling…
Fast and Efficient Bulk Multicasting over Dedicated Inter-Datacenter Networks
Mohammad Noormohammadpour, Cauligi S. Raghavendra, Srikanth Kandula +1
Several organizations have built multiple datacenters connected via dedicated wide area networks over which large inter-datacenter transfers take place. This includes tremendous vo…