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Published:27 April 2021Publication History
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Abstract

Modern day cloud native applications have become broadly representative of distributed systems in the wild. However, unlike traditional distributed system models with conceptually static designs, cloud-native systems emphasize dynamic scaling and on-line iteration (CI/CD). Cloud-native systems tend to be architected around a networked collection of distinct programs ("microservices") that can be added, removed, and updated in real-time.

Typically, distinct containerized programs constitute individual microservices that then communicate among the larger distributed application through heavy-weight protocols. Common communication stacks exchange JSON or XML objects over HTTP, via TCP/TLS, and incur significant overhead, particularly when using small size message sizes. Additionally, interpreted/JIT/VM-based languages such as Javascript (NodeJS/Deno), Java, and Python are dominant in modern microservice programs. These language technologies, along with the high-overhead messaging, can impose superlinear cost increases (hardware demands) on scale-out, particularly towards hyperscale and/or with latency-sensitive workloads.

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    • Published in

      cover image ACM SIGAda Ada Letters
      ACM SIGAda Ada Letters  Volume 40, Issue 2
      December 2020
      55 pages
      ISSN:1094-3641
      DOI:10.1145/3463478
      • Editor:
      • Alok Srivastava
      Issue’s Table of Contents

      Copyright © 2021 Copyright is held by the owner/author(s)

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 April 2021

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