Energy efficiency of VM consolidation in IaaS clouds DOI
Fei Teng, Lei Yu, Tianrui Li

и другие.

The Journal of Supercomputing, Год журнала: 2016, Номер 73(2), С. 782 - 809

Опубликована: Июль 5, 2016

Язык: Английский

Characterizing application scheduling on edge, fog, and cloud computing resources DOI
Prateeksha Varshney, Yogesh Simmhan

Software Practice and Experience, Год журнала: 2019, Номер 50(5), С. 558 - 595

Опубликована: Апрель 30, 2019

Summary Cloud computing has grown to become a popular distributed service offered by commercial providers. More recently, edge and fog resources have emerged on the wide‐area network as part of Internet things (IoT) deployments. These three resource abstraction layers are complementary, offer distinctive benefits. Scheduling applications clouds been an active area research, with workflow data flow models offering flexible specify for execution. However, application programming scheduling still maturing, can benefit from learnings cloud resources. At same time, there is also value in using these cohesively In this article, we taxonomy concepts essential specifying solving problem edge, fog, We first characterize capabilities limitations infrastructure models, quality‐of‐service constraints goals, techniques, based literature review. tabulate key research prototypes papers taxonomy. This survey benefits developers researchers designing categorizing their applications, selecting relevant abstraction(s), developing or appropriate algorithm. It highlights gaps where open problems remain.

Язык: Английский

Процитировано

59

Dynamic Virtual Machine Consolidation Algorithms for Energy-Efficient Cloud Resource Management: A Review DOI

Md Anit Khan,

Andrew P. Papliński, Abdul Malik Khan

и другие.

Springer eBooks, Год журнала: 2017, Номер unknown, С. 135 - 165

Опубликована: Сен. 20, 2017

Язык: Английский

Процитировано

61

A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade DOI Creative Commons
Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale

и другие.

arXiv (Cornell University), Год журнала: 2017, Номер unknown

Опубликована: Янв. 1, 2017

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

Язык: Английский

Процитировано

60

Energy, performance and cost efficient datacenters: A survey DOI
Muhammad Zakarya

Renewable and Sustainable Energy Reviews, Год журнала: 2018, Номер 94, С. 363 - 385

Опубликована: Июнь 17, 2018

Язык: Английский

Процитировано

59

Energy efficiency of VM consolidation in IaaS clouds DOI
Fei Teng, Lei Yu, Tianrui Li

и другие.

The Journal of Supercomputing, Год журнала: 2016, Номер 73(2), С. 782 - 809

Опубликована: Июль 5, 2016

Язык: Английский

Процитировано

49