abstract

Kubernetes and the path to cloud native

Author:

Eric A. BrewerAuthors Info & Claims

SoCC '15: Proceedings of the Sixth ACM Symposium on Cloud Computing

Page 167

https://doi.org/10.1145/2806777.2809955

Published: 27 August 2015 Publication History

Abstract

We are in the midst of an important shift to higher levels of abstraction than virtual machines. Kubernetes aims to simplify the deployment and management of services, including the construction of applications as sets of interacting but independent services. We explain some of the key concepts in Kubernetes and show how they work together to simplify evolution and scaling.

Cited By

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Chippagiri S(2024)Optimizing Kubernetes Network Performance: A Study of Container Network Interfaces and System Tuning ProfilesEuropean Journal of Theoretical and Applied Sciences10.59324/ejtas.2024.2(6).582:6(651-668)Online publication date: 1-Nov-2024
https://doi.org/10.59324/ejtas.2024.2(6).58
Dakić VRedžepagić JBašić MŽgrablić L(2024)Performance and Latency Efficiency Evaluation of Kubernetes Container Network Interfaces for Built-In and Custom Tuned ProfilesElectronics10.3390/electronics1319397213:19(3972)Online publication date: 9-Oct-2024
https://doi.org/10.3390/electronics13193972
Wang CLiu ZLiu JLi WChen J(2024)Towards a container scheduling policy for alleviating total startup latency in serverless computing platformThird International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024)10.1117/12.3032003(49)Online publication date: 8-Jun-2024
https://doi.org/10.1117/12.3032003
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SOSP '23: Proceedings of the 29th Symposium on Operating Systems Principles

In cloud-native environments, containers are often deployed within lightweight virtual machines (VMs) to ensure strong security isolation and privacy protection. With the growing demand for customized cloud services, third-party vendors are turning to ...

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Information

Published In

SoCC '15: Proceedings of the Sixth ACM Symposium on Cloud Computing

August 2015

446 pages

ISBN:9781450336512

DOI:10.1145/2806777

General Chair:
Shahram Ghandeharizadeh
University of Southern California
,
Program Chairs:
Magdalena Balazinska
University of Washington
,
Michael J. Freedman
Princeton University
,
Publications Chair:
Sumita Barahmand
Microsoft

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 August 2015

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SoCC '15

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SoCC '15: ACM Symposium on Cloud Computing

August 27 - 29, 2015

Hawaii, Kohala Coast

Acceptance Rates

SoCC '15 Paper Acceptance Rate 34 of 157 submissions, 22%;

Overall Acceptance Rate 169 of 722 submissions, 23%

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Chippagiri S(2024)Optimizing Kubernetes Network Performance: A Study of Container Network Interfaces and System Tuning ProfilesEuropean Journal of Theoretical and Applied Sciences10.59324/ejtas.2024.2(6).582:6(651-668)Online publication date: 1-Nov-2024
https://doi.org/10.59324/ejtas.2024.2(6).58
Dakić VRedžepagić JBašić MŽgrablić L(2024)Performance and Latency Efficiency Evaluation of Kubernetes Container Network Interfaces for Built-In and Custom Tuned ProfilesElectronics10.3390/electronics1319397213:19(3972)Online publication date: 9-Oct-2024
https://doi.org/10.3390/electronics13193972
Wang CLiu ZLiu JLi WChen J(2024)Towards a container scheduling policy for alleviating total startup latency in serverless computing platformThird International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024)10.1117/12.3032003(49)Online publication date: 8-Jun-2024
https://doi.org/10.1117/12.3032003
Alarbi MBelson RLutfiyya H(2024)ECO: Edge Continuum Orchestrator Framework for managing serverless chains across the Cloud-Edge Spectrum2024 33rd International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN61486.2024.10637523(1-6)Online publication date: 29-Jul-2024
https://doi.org/10.1109/ICCCN61486.2024.10637523
Ashe SRamachandra H(2024)The Effect of Continuous Encryption of Data in Cloud Native Architecture2024 IEEE Cloud Summit10.1109/Cloud-Summit61220.2024.00034(163-169)Online publication date: 27-Jun-2024
https://doi.org/10.1109/Cloud-Summit61220.2024.00034
Wen LXu MToosi AYe K(2024)TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information2024 IEEE 17th International Conference on Cloud Computing (CLOUD)10.1109/CLOUD62652.2024.00030(183-193)Online publication date: 7-Jul-2024
https://doi.org/10.1109/CLOUD62652.2024.00030
Albin SAttebury GBloom KBockelman BLundstedt CShadura OThiltges J(2024)Coffea-Casa: Building composable analysis facilities for the HL-LHCEPJ Web of Conferences10.1051/epjconf/202429507009295(07009)Online publication date: 6-May-2024
https://doi.org/10.1051/epjconf/202429507009
Castellanos-Rodríguez ÓExpósito REnes JTaboada GTouriño J(2024)Serverless-like platform for container-based YARN clustersFuture Generation Computer Systems10.1016/j.future.2024.02.013155(256-271)Online publication date: Jun-2024
https://doi.org/10.1016/j.future.2024.02.013
Mahavaishnavi VSaminathan RPrithviraj R(2024)Secure container Orchestration: A framework for detecting and mitigating Orchestrator - level vulnerabilitiesMultimedia Tools and Applications10.1007/s11042-024-19613-xOnline publication date: 9-Jul-2024
https://doi.org/10.1007/s11042-024-19613-x
Mondal SWu XKabir HDai HNi KYuan HWang T(2023)Toward Optimal Load Prediction and Customizable Autoscaling Scheme for KubernetesMathematics10.3390/math1112267511:12(2675)Online publication date: 12-Jun-2023
https://doi.org/10.3390/math11122675
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Abstract

Cited By

Recommendations

Kubernetes Management Design Patterns: With Docker, CoreOS Linux, and Other Platforms

Cloud Native Java: Designing Resilient Systems with Spring Boot, Spring Cloud, and Cloud Foundry

PVM: Efficient Shadow Paging for Deploying Secure Containers in Cloud-native Environment

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