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Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms

Year: 2025

Type: conference-paper

Abstract: Cloud platforms remain underutilized despite multiple proposals to improve their utilization (e.g., disaggregation, harvesting, and oversubscription). Our characterization of the resource utilization of virtual machines (VMs) in Azure reveals that, while CPU is the main underutilized resource, we need to provide a solution to manage all resources holistically. We also observe that many VMs exhibit complementary temporal patterns, which can be leveraged to improve the oversubscription of underutilized resources.

Source: International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)

DOI: 10.1145/3669940.3707226

Authors: Benjamin Reidys, Pantea Zardoshti, Íñigo Goiri, Celine Irvene, Daniel S. Berger, Haoran Ma, Kapil Arya, Eli Cortez, Taylor Stark, Eugene Bak, Mehmet Iyigun, Stanko Novakovic, Lisa Hsu, Karel Trueba, Abhisek Pan, Chetan Bansal, Saravan Rajmohan, Jian Huang, Ricardo Bianchini

Institutions: Microsoft (United States), Google (United States), University of Illinois Urbana-Champaign, University of California, Los Angeles, University of Washington, Meta (United States)

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, Universitas Brawijaya

Awards: SPX: Collaborative Research: Scaling the Software-Defined Data Center with Network-Storage Stack Co-Design, CAREER: Towards Learning-Based Storage Systems with Hardware-Software Co-Design, G3143442884, G6671297155

OpenAlex ID: W4406734263

FWCI: 6.579

Cites: 68

Cited by: 12

Related to: 10