Risk Management for Elastic Computing Frameworks: Avoiding System Crashes

Author: Zen and the Art of Computer Programming

1.1 Introduction to computing framework

With the popularization of cloud computing, various types of computing resources emerge in an endless stream. As an important component of cloud computing, the computing framework is widely used in various industries, such as finance, medical care, military industry and other fields, for scenarios such as processing massive data and real-time computing. However, more and more companies are discovering how powerful their computing frameworks can be to their business. Today, computing frameworks are an integral part of business operations. How to effectively manage the computing framework is crucial to the stability, security and performance of the entire cloud computing platform.

1.2 Definition of "elastic" computing framework

Based on the above background, the author believes that an "elastic" computing framework should have the following characteristics:

  • Scalability: It can cope with changes in computing tasks, increase or decrease the number of machines, and increase load balancing capabilities.
  • Self-restoration: It can automatically fault-tolerant and quickly recover faulty machines.
  • Reliability: Ensure that computing tasks are not lost, without any obvious pauses or freezes.
  • Elastic scalability: It can flexibly adjust the cluster size and configuration according to the change of computing tasks.
  • Energy-saving and friendly: It consumes less resources and has high operating efficiency. It is suitable for resource-sensitive applications such as mobile devices and embedded devices.
  • Compatibility: It can work with other computing frameworks and provide unified interfaces and services. Combining these characteristics, the author puts forward the concept of "elastic computing framework", and believes that it is a complete framework, including many modules, such as scheduler, resource manager, storage system, communication network, operating system, virtualization layer, etc. , with a high degree of modular design and overall architecture.

    1.3 Risk Management of Elastic Computing Framework

    In a cloud computing environment, due to limited and dynamic resources, the resources and bandwidth required by the computing framework will change over time. If the computing framework is allowed to use the same batch of machine resources in different computing task environments without control, it is likely to cause waste of resources and computing efficiency

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Origin blog.csdn.net/universsky2015/article/details/131746529