4.7 Article

A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade

期刊

ACM COMPUTING SURVEYS
卷 51, 期 5, 页码 -

出版社

ASSOC COMPUTING MACHINERY
DOI: 10.1145/3241737

关键词

Cloud computing; scalability; sustainability; InterCloud; data management; Cloud economics; application development; Fog computing; serverless computing

资金

  1. Horizon 2020 project DICE [644869]
  2. EPSRC [EP/K017330/1, EP/R007128/1] Funding Source: UKRI

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据