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Optimizing the Cost of Executing Mixed Interactive and Batch Workloads on Transient VMs by Ambati, Pradeep; Irwin, David is a Computer Science article available to read on EtoBox.

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Container Orchestration Platforms (COPs), such as Kubernetes, are increasingly used to manage large-scale clusters by automating resource allocation between applications encapsulated in containers. Increasingly, the resources underlying COPs are virtual machines (VMs) dynamically acquired from cloud platforms. COPs may choose from many different types of VMs offered by cloud platforms, which differ in their cost, performance, and availability. In particular, while transient VMs cost significantly less than on-demand VMs, platforms may revoke them at any time, causing them to become unavailable. While transient VMs' price is attractive, their unreliability is a problem for COPs designed to support mixed workloads composed of, not only delay-tolerant batch jobs, but also long-lived interactive services with high availability requirements. To address the problem, we design TR-Kubernetes, a COP that optimizes the cost of executing mixed interactive and batch workloads on cloud platforms using transient VMs. To do so, TR-Kubernetes enforces arbitrary availability requirements specified by interactive services despite transient VM unavailability by acquiring many more transient VMs than

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Author

Ambati, Pradeep; Irwin, David

Publisher

Association for Computing Machinery; Association for Computing Machinery (ACM) (ISSN 2476-1249)

Published

2019

Language

EN

Field

Computer Science (Physical Sciences)