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

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A manifesto for future generation cloud computing: research directions for the next decade. / Buyya, Rajkumar; Srirama, Satish Narayana.

In: ACM Computing Surveys, Vol. 51, No. 5, 105, 11.2018.

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Buyya, Rajkumar ; Srirama, Satish Narayana. / A manifesto for future generation cloud computing: research directions for the next decade. In: ACM Computing Surveys. 2018 ; Vol. 51, No. 5.

Bibtex

@article{2fe3813d9b224802906bccdb93621239,
title = "A manifesto for future generation cloud computing:: research directions for the next decade",
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.",
keywords = "cloud computing, scalability, sustainability, InterCloud, data management, cloud economics, application development, fog computing, serverless computing",
author = "Rajkumar Buyya and Srirama, {Satish Narayana} and Rami Bahsoon",
year = "2018",
month = nov
doi = "10.1145/3241737",
language = "English",
volume = "51",
journal = "ACM Computing Surveys",
issn = "0360-0300",
publisher = "Association for Computing Machinery ",
number = "5",

}

RIS

TY - JOUR

T1 - A manifesto for future generation cloud computing:

T2 - research directions for the next decade

AU - Buyya, Rajkumar

AU - Srirama, Satish Narayana

A2 - Bahsoon, Rami

PY - 2018/11

Y1 - 2018/11

N2 - 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.

AB - 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.

KW - cloud computing

KW - scalability

KW - sustainability

KW - InterCloud

KW - data management

KW - cloud economics

KW - application development

KW - fog computing

KW - serverless computing

UR - https://arxiv.org/abs/1711.09123

U2 - 10.1145/3241737

DO - 10.1145/3241737

M3 - Article

VL - 51

JO - ACM Computing Surveys

JF - ACM Computing Surveys

SN - 0360-0300

IS - 5

M1 - 105

ER -