TEES: topology-aware execution environment service for fast and agile application deployment in HPC

Mingtian SHAO; Kai LU; Wanqing CHI; Ruibo WANG; Yiqin DAI; Wenzhe ZHANG

doi:10.1631/FITEE.2100284

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TEES: topology-aware execution environment service for fast and agile application deployment in HPC

Regular Papers | Updated：2023-01-11

- TEES: topology-aware execution environment service for fast and agile application deployment in HPC
- TEES：一种面向高性能计算快速、灵活应用程序部署的拓扑感知的运行环境服务
- Frontiers of Information Technology & Electronic Engineering Vol. 23, Issue 11, Pages: 1631-1645(2022)
- Affiliations：
  
  College of Computer, National University of Defense Technology, Changsha 410073, China
- Author bio：
  
  ‡Corresponding authors
- Funds：
- DOI：10.1631/FITEE.2100284
  CLC： TP315
- Received：16 June 2021，
  
  Accepted：24 October 2021，
  
  Published Online：01 June 2022，
  
  Published：0 November 2022
- Accepted：
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Mingtian SHAO, Kai LU, Wanqing CHI, et al. TEES: topology-aware execution environment service for fast and agile application deployment in HPC[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(11): 1631-1645.
DOI：

Mingtian SHAO, Kai LU, Wanqing CHI, et al. TEES: topology-aware execution environment service for fast and agile application deployment in HPC[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(11): 1631-1645. DOI： 10.1631/FITEE.2100284.

摘要

高性能计算（HPC）即将达到新的高度：百亿亿次。应用程序部署正成为一个日益突出的问题。容器技术解决了应用程序及其运行环境的封装和迁移问题。但是，容器镜像太过笨重，在大量计算结点上的部署过程非常耗时。虽然点对点（P2P）方式带来更高的传输效率，但也引入更大的网络负载。所有这些问题都会导致应用程序的高启动延迟。为解决这些问题，提出拓扑感知的运行环境服务（TEES），用于在高性能计算系统上快速、灵活地部署应用程序。TEES为用户创建了一个更轻量级的运行环境，并使用一种更有效的拓扑感知P2P方法减少部署时间。结合分步传输和提前启动机制，TEES降低了应用程序的启动延迟。在天河高性能计算系统中，TEES在3秒内实现了在17560个计算结点上的一个典型应用程序的部署和启动。与基于容器的应用程序部署方式相比，速度提高了12倍，网络负载减少了85%。

Abstract

High-performance computing (HPC) systems are about to reach a new height: exascale. Application deployment is becoming an increasingly prominent problem. Container technology solves the problems of encapsulation and migration of applications and their execution environment. However

the container image is too large

and deploying the image to a large number of compute nodes is time-consuming. Although the peer-to-peer (P2P) approach brings higher transmission efficiency

it introduces larger network load. All of these issues lead to high startup latency of the application. To solve these problems

we propose the topology-aware execution environment service (TEES) for fast and agile application deployment on HPC systems. TEES creates a more lightweight execution environment for users

and uses a more efficient topology-aware P2P approach to reduce deployment time. Combined with a split-step transport and launch-in-advance mechanism

TEES reduces application startup latency. In the Tianhe HPC system

TEES realizes the deployment and startup of a typical application on 17 560 compute nodes within 3 s. Compared to container-based application deployment

the speed is increased by 12-fold

and the network load is reduced by 85%.

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references

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