A manifesto for future generation cloud computing: research directions for the next decade

Rajkumar Buyya, Satish Narayana Srirama

Research output: Contribution to journalArticlepeer-review

74 Citations (Scopus)
453 Downloads (Pure)

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.
Original languageEnglish
Article number105
JournalACM Computing Surveys
Volume51
Issue number5
Early online dateNov 2018
DOIs
Publication statusE-pub ahead of print - Nov 2018

Keywords

  • cloud computing
  • scalability
  • sustainability
  • InterCloud
  • data management
  • cloud economics
  • application development
  • fog computing
  • serverless computing

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