Poster abstract - Application-agnostic batch workload management in cloud environments

Seyyed Ahmad Javadi; Shalini Bhaskara; Rahul Doshi; Prashanth Soundarapandian; Muhammad Wajahat; Anshul Gandhi

doi:10.1145/3267809.3275446

Poster abstract - Application-agnostic batch workload management in cloud environments

Seyyed Ahmad Javadi
, Shalini Bhaskara
, Rahul Doshi
, Prashanth Soundarapandian
, Muhammad Wajahat
, Anshul Gandhi

Computer Science

Stony Brook University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We present Scavenger, a reactive batch workload manager that opportunistically runs containerized batch jobs next to customer Virtual Machines (VMs) in a public cloud like setting to improve utilization. Scavenger dynamically regulates the resource usage of batch jobs, including CPU usage, memory capacity, and LLC capacity, to ensure that the customer VMs’ resource demand is met at all times. We experimentally evaluate Scavenger and show that it considerably increases resource usage without compromising on the resource demand of customer VMs. Importantly, Scavenger does so without requiring any offline profiling or prior information about the customer workloads.

Original language	English
Title of host publication	SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing
Publisher	Association for Computing Machinery, Inc
Pages	504
Number of pages	1
ISBN (Electronic)	9781450360111
DOIs	https://doi.org/10.1145/3267809.3275446
State	Published - Oct 11 2018
Event	2018 ACM Symposium on Cloud Computing, SoCC 2018 - Carlsbad, United States Duration: Oct 11 2018 → Oct 13 2018

Publication series

Name	SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing

Conference

Conference	2018 ACM Symposium on Cloud Computing, SoCC 2018
Country/Territory	United States
City	Carlsbad
Period	10/11/18 → 10/13/18

Access to Document

10.1145/3267809.3275446

Cite this

Javadi, S. A., Bhaskara, S., Doshi, R., Soundarapandian, P., Wajahat, M., & Gandhi, A. (2018). Poster abstract - Application-agnostic batch workload management in cloud environments. In SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing (pp. 504). (SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing). Association for Computing Machinery, Inc. https://doi.org/10.1145/3267809.3275446

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title = "Poster abstract - Application-agnostic batch workload management in cloud environments",

abstract = "We present Scavenger, a reactive batch workload manager that opportunistically runs containerized batch jobs next to customer Virtual Machines (VMs) in a public cloud like setting to improve utilization. Scavenger dynamically regulates the resource usage of batch jobs, including CPU usage, memory capacity, and LLC capacity, to ensure that the customer VMs{\textquoteright} resource demand is met at all times. We experimentally evaluate Scavenger and show that it considerably increases resource usage without compromising on the resource demand of customer VMs. Importantly, Scavenger does so without requiring any offline profiling or prior information about the customer workloads.",

author = "Javadi, \{Seyyed Ahmad\} and Shalini Bhaskara and Rahul Doshi and Prashanth Soundarapandian and Muhammad Wajahat and Anshul Gandhi",

note = "Publisher Copyright: {\textcopyright} 2018 Copyright held by the owner/author(s).; 2018 ACM Symposium on Cloud Computing, SoCC 2018 ; Conference date: 11-10-2018 Through 13-10-2018",

year = "2018",

month = oct,

day = "11",

doi = "10.1145/3267809.3275446",

language = "English",

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Javadi, SA, Bhaskara, S, Doshi, R, Soundarapandian, P, Wajahat, M & Gandhi, A 2018, Poster abstract - Application-agnostic batch workload management in cloud environments. in SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing. SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing, Association for Computing Machinery, Inc, pp. 504, 2018 ACM Symposium on Cloud Computing, SoCC 2018, Carlsbad, United States, 10/11/18. https://doi.org/10.1145/3267809.3275446

Poster abstract - Application-agnostic batch workload management in cloud environments. / Javadi, Seyyed Ahmad; Bhaskara, Shalini; Doshi, Rahul et al.
SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing. Association for Computing Machinery, Inc, 2018. p. 504 (SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Poster abstract - Application-agnostic batch workload management in cloud environments

AU - Javadi, Seyyed Ahmad

AU - Bhaskara, Shalini

AU - Doshi, Rahul

AU - Soundarapandian, Prashanth

AU - Wajahat, Muhammad

AU - Gandhi, Anshul

PY - 2018/10/11

Y1 - 2018/10/11

N2 - We present Scavenger, a reactive batch workload manager that opportunistically runs containerized batch jobs next to customer Virtual Machines (VMs) in a public cloud like setting to improve utilization. Scavenger dynamically regulates the resource usage of batch jobs, including CPU usage, memory capacity, and LLC capacity, to ensure that the customer VMs’ resource demand is met at all times. We experimentally evaluate Scavenger and show that it considerably increases resource usage without compromising on the resource demand of customer VMs. Importantly, Scavenger does so without requiring any offline profiling or prior information about the customer workloads.

AB - We present Scavenger, a reactive batch workload manager that opportunistically runs containerized batch jobs next to customer Virtual Machines (VMs) in a public cloud like setting to improve utilization. Scavenger dynamically regulates the resource usage of batch jobs, including CPU usage, memory capacity, and LLC capacity, to ensure that the customer VMs’ resource demand is met at all times. We experimentally evaluate Scavenger and show that it considerably increases resource usage without compromising on the resource demand of customer VMs. Importantly, Scavenger does so without requiring any offline profiling or prior information about the customer workloads.

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DO - 10.1145/3267809.3275446

M3 - Conference contribution

AN - SCOPUS:85059035964

T3 - SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing

SP - 504

BT - SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing

PB - Association for Computing Machinery, Inc

T2 - 2018 ACM Symposium on Cloud Computing, SoCC 2018

Y2 - 11 October 2018 through 13 October 2018

ER -

Javadi SA, Bhaskara S, Doshi R, Soundarapandian P, Wajahat M, Gandhi A. Poster abstract - Application-agnostic batch workload management in cloud environments. In SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing. Association for Computing Machinery, Inc. 2018. p. 504. (SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing). doi: 10.1145/3267809.3275446

Poster abstract - Application-agnostic batch workload management in cloud environments

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