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

ACM Computing Surveys (CSUR), Volume 51, Issue 5

Article No.: 105, Pages 1 - 38

https://doi.org/10.1145/3241737

Published: 19 November 2018 Publication History

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.

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 51, Issue 5

September 2019

791 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3271482

Editor:
Sartaj Sahni
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Published: 19 November 2018

Accepted: 01 July 2018

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Received: 01 November 2017

Published in CSUR Volume 51, Issue 5

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Affiliations

Rajkumar Buyya

University of Melbourne, Parkville, Victoria, Australia

Satish Narayana Srirama

University of Tartu, Ulikooli, Tartu, Estonia

https://orcid.org/0000-0002-7600-7124

Giuliano Casale

Imperial College London, Huxley, UK

Rodrigo Calheiros

Western Sydney University, Penrith, NSW, Australia

Yogesh Simmhan

Indian Institute of Science, Nilgiri Marg, Mathikere, Bangalore, India

https://orcid.org/0000-0003-4140-7774

Blesson Varghese

Queen’s University Belfast, Northern Ireland, UK

Erol Gelenbe

Imperial College London, South Kensington Campus, London, UK

Bahman Javadi

Western Sydney University, Penrith, NSW, Australia

Luis Miguel Vaquero

University of Bristol, Merchant Venturers Building, Woodland Road, Clifton, Bristol UK

Marco A. S. Netto

IBM Research, Sao Paulo, Brazil

Adel Nadjaran Toosi

Monash University, Clayton, VIC, Australia

https://orcid.org/0000-0001-5655-5337

Maria Alejandra Rodriguez

University of Melbourne, Parkville, Victoria, Australia

Ignacio M. Llorente

Universidad Complutense de Madrid, Madrid, Spain

Sabrina De Capitani Di Vimercati

Università degli Studi di Milano, Via Celoria, Milano, Italy

Pierangela Samarati

Università degli Studi di Milano, Via Celoria, Milano, Italy

Dejan Milojicic

Hewlett Packard Labs, Palo Alto, California, USA

Carlos Varela

Rensselaer Polytechnic Institute, Troy, NY, USA

Rami Bahsoon

University of Birmingham, Edgbaston, Birmingham, UK

Marcos Dias De Assuncao

INRI, aallée d’Italie, Lyon, France

Omer Rana

Cardiff University, The Parade, Newport Road, Cardiff, UK

Wanlei Zhou

University of Technology Sydney, Broadway, Ultimo NSW, Australia

Hai Jin

Huazhong University of Science and Technology, Wuhan, China

Wolfgang Gentzsch

UberCloud, Los Altos, California USA

Albert Y. Zomaya

University of Sydney, Building, Sydney, NSW, Australia

Haiying Shen

University of Virginia, Charlottesville, USA

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