Heterogeneous Cloud Computing: The Way Forward

Crago, Stephen P.; Walters, John Paul

doi:10.1109/mc.2015.14

Cited by 27 publications

(15 citation statements)

References 2 publications

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“…Forbes predicts that the use of serverless computing will increase given that billions of devices will need to be connected to the edge of the network and data centers 28 . It will not be feasible to have idle servers in resource constrained environments.…”

Section: Serverless Computingmentioning

confidence: 99%

Next generation cloud computing: New trends and research directions

Varghese

Buyya

2018

Future Generation Computer Systems

642

270

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The landscape of cloud computing has significantly changed over the last decade. Not only have more providers and service offerings crowded the space, but also cloud infrastructure that was traditionally limited to single provider data centers is now evolving. In this paper, we firstly discuss the changing cloud infrastructure and consider the use of infrastructure from multiple providers and the benefit of decentralising computing away from data centers. These trends have resulted in the need for a variety of new computing architectures that will be offered by future cloud infrastructure. These architectures are anticipated to impact areas, such as connecting people and devices, data-intensive computing, the service space and self-learning systems. Finally, we lay out a roadmap of challenges that will need to be addressed for realising the potential of next generation cloud systems.

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Section: Serverless Computingmentioning

confidence: 99%

Next generation cloud computing: New trends and research directions

Varghese

Buyya

2018

Future Generation Computer Systems

642

270

View full text Add to dashboard Cite

show abstract

“…Research effort has targeted energy efficiency support at various stages of the application service lifecycle (construction, deployment, operation). On the other hand, heterogeneity has been recognized as a viable solution to improve performance and reduce power consumption at the same time [9]. This section reviews existing work and categorises it into self-adaptation, energy efficiency and heterogeneous computing environments.…”

Section: Related Workmentioning

confidence: 99%

Energy-Aware Self-Adaptation for Application Execution on Heterogeneous Parallel Architectures

Kavanagh

Djemame

Ejarque

et al. 2020

IEEE Trans. Sustain. Comput.

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Hardware in High Performance Computing environments in recent years have increasingly become more heterogeneous in order to improve computational performance. An additional aspect of such systems is the management of power and energy consumption. The increase in heterogeneity requires middleware and programming model abstractions to eliminate additional complexities that it brings, while also offering opportunities such as improved power management. In this paper we explore application level self-adaptation including aspects such as automated configuration and deployment of applications to different heterogeneous infrastructure and for their redeployment. This therefore not only mitigates complexities associated with heterogeneous devices but aims to take advantage of the heterogeneity. The overall result of this paper is a self-adaptive framework that manages application Quality of Service (QoS) at runtime, which includes the automatic migration of applications between different accelerated infrastructures. Discussion covers when this migration is appropriate and quantifies the likely benefits.

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“…The emerging information technologies were hardly employed. These unemployed technologies include the wireless sensing networks [34][35][36], Internet of Things (IoT) [37][38][39][40], and cloud computing [41][42][43][44][45][46]. Particularly, IoT has been further integrated with the surveillance systems and the integrated system was termed as IoT monitoring [47][48][49][50].…”

Section: Scientific Programmingmentioning

confidence: 99%

Intelligence in Ecology: How Internet of Things Expands Insights into the Missing CO₂Sink

Wang

Chen

Zheng

et al. 2016

Scientific Programming

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Arid region characterizes more than 30% of the Earth’s total land surface area and the area is still increasing due to the trends of desertification, yet the extent to which it modulates the global C balance has been inadequately studied. As an emerging technology, IoT monitoring can combine researchers, instruments, and field sites and generate archival data for a better understanding of soil abiotic CO2uptake in arid region. Images’ similarity analyses based on IoT monitoring can help ecologists to find sites where the abiotic uptake can temporally dominate and how the negative soil respiration fluxes were produced, while IoT monitoring with a set of intelligent video recognition algorithms enables ecologists to revisit these sites and the experiments details through the videos. Therefore, IoT monitoring of geospatial images, videos, and associated optimization and control algorithms should be a research priority towards expanding insights for soil abiotic CO2uptake and a better understanding of how the uptake happens in arid region. Nevertheless, there are still considerable uncertainties and difficulties in determining the overall perspective of IoT monitoring for insights into the missing CO2sink.

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Heterogeneous Cloud Computing: The Way Forward

Cited by 27 publications

References 2 publications

Next generation cloud computing: New trends and research directions

Next generation cloud computing: New trends and research directions

Energy-Aware Self-Adaptation for Application Execution on Heterogeneous Parallel Architectures

Intelligence in Ecology: How Internet of Things Expands Insights into the Missing CO₂Sink

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Heterogeneous Cloud Computing: The Way Forward

Cited by 27 publications

References 2 publications

Next generation cloud computing: New trends and research directions

Next generation cloud computing: New trends and research directions

Energy-Aware Self-Adaptation for Application Execution on Heterogeneous Parallel Architectures

Intelligence in Ecology: How Internet of Things Expands Insights into the Missing CO2Sink

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Product

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Intelligence in Ecology: How Internet of Things Expands Insights into the Missing CO₂Sink