Paper Info
Title
Stratus: cost-aware container scheduling in the public cloud.
Abstract
Stratus is a new cluster scheduler specialized for orchestrating batch job execution on virtual clusters, dynamically allocated collections of virtual machine instances on public IaaS platforms. Unlike schedulers for conventional clusters, Stratus focuses primarily on dollar cost considerations, since public clouds provide effectively unlimited, highly heterogeneous resources allocated on demand. But, since resources are charged-for while allocated, Stratus aggressively packs tasks onto machines, guided by job runtime estimates, trying to make allocated resources be either mostly full (highly utilized) or empty (so they can be released to save money). Simulation experiments based on cluster workload traces from Google and TwoSigma show that Stratus reduces cost by 17-44% compared to state-of-the-art approaches to virtual cluster scheduling.
Year
DOI
Venue
2018
10.1145/3267809.3267819
SoCC '18: ACM Symposium on Cloud Computing Carlsbad CA USA October, 2018
Keywords
Field
DocType
cloud computing, cluster scheduling, transient server
Cluster (physics),Virtual machine,On demand,Scheduling (computing),Computer science,Workload,Real-time computing,Batch processing,Operating system,Liberian dollar,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-4503-6011-1
16
0.66
References 
Authors
39
3
Name
Order
Citations
PageRank
Andrew Chung1443.57
Jun Woo Park21696.47
Gregory R. Ganger34560383.16