Characterizing application scheduling on edge, fog, and cloud computing resources

Software Practice and Experience, Journal Year: 2019, Volume and Issue: 50(5), P. 558 - 595

Published: April 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.

Language: Английский

---

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

Springer eBooks, Journal Year: 2017, Volume and Issue: unknown, P. 135 - 165

Published: Sept. 20, 2017

Language: Английский

---

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

arXiv (Cornell University), Journal Year: 2017, Volume and Issue: unknown

Published: Jan. 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.

Language: Английский

---

Energy, performance and cost efficient datacenters: A survey

Renewable and Sustainable Energy Reviews, Journal Year: 2018, Volume and Issue: 94, P. 363 - 385

Published: June 17, 2018

Language: Английский

---

Energy efficiency of VM consolidation in IaaS clouds

The Journal of Supercomputing, Journal Year: 2016, Volume and Issue: 73(2), P. 782 - 809

Published: July 5, 2016

Language: Английский

---