11 citations · 27 across the 11 of their papers we have counts for
11 papers
PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking
Yan Zhou, Chunwei Liu, Bhuvan Urgaonkar +11
Cloud service providers commonly use standard benchmarks like TPC-H and TPC-DS to evaluate and optimize cloud data analytics systems. However, these benchmarks rely on fixed query…
LEGOStore: A Linearizable Geo-Distributed Store Combining Replication and Erasure Coding
Hamidreza Zare, Viveck R. Cadambe, Bhuvan Urgaonkar +4
We design and implement LEGOStore, an erasure coding (EC) based linearizable data store over geo-distributed public cloud data centers (DCs). For such a data store, the confluence…
On a caching system with object sharing
George Kesidis, Nader Alfares, Xi Li +3
We consider a content-caching system thatis shared by a number of proxies. The cache could belocated in an edge-cloud datacenter and the proxies couldeach serve a large population…
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…
An Efficient and Fair Multi-Resource Allocation Mechanism for Heterogeneous Servers
Jalal Khamse-Ashari, Ioannis Lambadaris, George Kesidis +2
Efficient and fair allocation of multiple types of resources is a crucial objective in a cloud/distributed computing cluster. Users may have diverse resource needs. Furthermore, di…