@inproceedings{506700ac91304a7f9330b49afeb984c3,
title = "Poster: Improving server utilization via resource-adaptive batch VMs",
abstract = "Public cloud data centers often suffer from low resource utilization [1]. To increase utilization, recent works have proposed running batch workloads next to customer VMs to leverage idle resources [6]. While effective, the key challenge here is interference - the performance degradation of the colocated customer VMs due to resource contention with batch workload VMs at the underlying host server [5].",
keywords = "Resource management, Server utilization, VMs",
author = "Javadi, \{Seyyed Ahmad\} and Banginwar, \{Piyush Shyam\} and Vaishali Chanana and Rashmi Narvekar and Savita, \{Mitesh Kumar\} and Anshul Gandhi",
year = "2017",
month = dec,
day = "11",
doi = "10.1145/3155016.3155025",
language = "English",
series = "Middleware 2017 - Proceedings of the 2017 Middleware Posters and Demos 2017: Proceedings of the Posters and Demos Session of the 18th International Middleware Conference",
publisher = "Association for Computing Machinery, Inc",
pages = "11--12",
booktitle = "Middleware 2017 - Proceedings of the 2017 Middleware Posters and Demos 2017",
note = "18th ACM/IFIP/USENIX International Middleware Conference, Middleware 2017 ; Conference date: 11-12-2017 Through 15-12-2017",
}