[论文解读] A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade

Rajkumar Buyya, Satish Narayana Srirama+23 more|arXiv (Cornell University)|Nov 24, 2017

Cloud Computing and Resource Management参考文献 163被引用 69

一句话总结

这篇论文概述了未来十年实现未来代云计算中的开放挑战、新兴趋势和未来研究方向，解决可扩展性、可靠性、可持续性、异质性、云间互操作性和安全性。

ABSTRACT

The Cloud computing paradigm has revolutionised the computer science horizon during the past decade and has enabled the emergence of computing as the fifth utility. It has captured significant attention of academia, industries, and government bodies. Now, it has emerged as the backbone of modern economy by offering subscription-based services anytime, anywhere following a pay-as-you-go model. This has instigated (1) shorter establishment times for start-ups, (2) creation of scalable global enterprise applications, (3) better cost-to-value associativity for scientific and high performance computing applications, and (4) different invocation/execution models for pervasive and ubiquitous applications. The recent technological developments and paradigms such as serverless computing, software-defined networking, Internet of Things, and processing at network edge are creating new opportunities for Cloud computing. However, they are also posing several new challenges and creating the need for new approaches and research strategies, as well as the re-evaluation of the models that were developed to address issues such as scalability, elasticity, reliability, security, sustainability, and application models. The proposed manifesto addresses them by identifying the major open challenges in Cloud computing, emerging trends, and impact areas. It then offers research directions for the next decade, thus helping in the realisation of Future Generation Cloud Computing.

研究动机与目标

• 识别云计算领域的主要开放挑战，评估最前沿解决方案及其局限性。
• 探索新兴趋势（如边缘/雾计算、InterCloud）及其对研究方向的影响。
• 提出一套全面的未来研究方向，为云计算的未来十年提供指导。
• 突出跨地理分布的数据中心在可持续性、安全性和互操作性方面的机会。

提出的方法

• 综合云计算领域的前沿挑战与局限性（可扩展性、弹性、可靠性、可持续性、异质性、InterCloud、IoT/边缘）。
• 分析新兴趋势与影响领域（边缘/雾计算、无服务器、虚拟化、异构资源）。
• 提出一组结构化的未来研究方向，与所识别的趋势和挑战保持一致。
• 讨论新型硬件、编程模型和数据管理在支持未来代云中的作用。

实验结果

研究问题

• RQ1 当今云计算领域的关键开放挑战是什么，将塑造未来十年的研究方向？
• RQ2 如边缘/雾计算、无服务器架构和 InterCloud 等新兴趋势如何影响研究方向和基础设施设计？
• RQ3 为应对未来云生态系统中的可扩展性、可靠性、可持续性、异质性和安全性，需要哪些研究方向？

主要发现

• 云计算在可扩展性、弹性、可靠性、能源可持续性、异质性、InterCloud互通性和安全性方面面临持续挑战。
• 如边缘/雾计算和无服务器架构等新兴范式创造了新机遇，但也需要重新思考资源管理、编程模型和数据治理。
• 在虚拟机、厂商和硬件层面的异质性导致需要硬件无关的软件抽象和基于中间件的加速。
• InterCloud 与联邦/混合云模型带来好处，但需要标准化接口和可移植数据格式以实现真正的互操作性。
• 可持续性问题要求自治、能源感知的管理以及利用机器学习对 QoS 与能源使用进行优化。