On Enabling Sustainable Edge Computing with Renewable Energy Resources

Li, Wei; Yang, Ting; Delicato, Flávia C.; Pires, Paulo F.; Tari, Zahir; Khan, Samee U.; Zomaya, Albert Y.

doi:10.1109/mcom.2018.1700888

Cited by 99 publications

(29 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The primary objective of sustainability is to reduce the carbon footprint. A significant portion (more than 80%) of energy is generated using brown sources [80]. Therefore, sustainability is an important aspect that must be considered in the design of edge computing enabled infrastructure.…”

Section: Recent Advancesmentioning

confidence: 99%

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Khan

Yaqoob

Tran

et al. 2020

IEEE Internet Things J.

256

121

View full text Add to dashboard Cite

Recent years have disclosed a remarkable proliferation of compute-intensive applications in smart cities. Such applications continuously generate enormous amounts of data which demand strict latency-aware computational processing capabilities. Although edge computing is an appealing technology to compensate for stringent latency related issues, its deployment engenders new challenges. In this survey, we highlight the role of edge computing in realizing the vision of smart cities. First, we analyze the evolution of edge computing paradigms. Subsequently, we critically review the state-of-the-art literature focusing on edge computing applications in smart cities. Later, we categorize and classify the literature by devising a comprehensive and meticulous taxonomy. Furthermore, we identify and discuss key requirements, and enumerate recently reported synergies of edge computing enabled smart cities. Finally, several indispensable open challenges along with their causes and guidelines are discussed, serving as future research directions.

show abstract

Section: Recent Advancesmentioning

confidence: 99%

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Khan

Yaqoob

Tran

et al. 2020

IEEE Internet Things J.

256

121

View full text Add to dashboard Cite

show abstract

“…In this context, our research also contributes to further developing use-cases for the concept of edge computing as the IES may shift computational power towards the edges of the network. This may be particularly relevant for research focusing on topics of sustainable edge computing (Li et al 2018). Moreover, we contribute to research by transferring approaches from outside the IScommunity, i.e., Glenk and Reichelstein (2019), into the field of EI.…”

Section: Contributionmentioning

confidence: 98%

Not All Doom and Gloom: How Energy-Intensive and Temporally Flexible Data Center Applications May Actually Promote Renewable Energy Sources

et al. 2021

View full text Add to dashboard Cite

To achieve a sustainable energy system, a further increase in electricity generation from renewable energy sources (RES) is imperative. However, the development and implementation of RES entail various challenges, e.g., dealing with grid stability issues due to RES’ intermittency. Correspondingly, increasingly volatile and even negative electricity prices question the economic viability of RES-plants. To address these challenges, this paper analyzes how the integration of an RES-plant and a computationally intensive, energy-consuming data center (DC) can promote investments in RES-plants. An optimization model is developed that calculates the net present value (NPV) of an integrated energy system (IES) comprising an RES-plant and a DC, where the DC may directly consume electricity from the RES-plant. To gain applicable knowledge, this paper evaluates the developed model by means of two use-cases with real-world data, namely AWS computing instances for training Machine Learning algorithms and Bitcoin mining as relevant DC applications. The results illustrate that for both cases the NPV of the IES compared to a stand-alone RES-plant increases, which may lead to a promotion of RES-plants. The evaluation also finds that the IES may be able to provide significant energy flexibility that can be used to stabilize the electricity grid. Finally, the IES may also help to reduce the carbon-footprint of new energy-intensive DC applications by directly consuming electricity from RES-plants.

show abstract

“…Outro proeminente requisito mencionado na literatura é a diminuição do consumo de energia elétrica. Este requisito está alinhado ao conceito de sustentabilidade, que preza pela preservação do planeta e ao atendimento das necessidades humanas [32]. Posto isto, a distribuição do processamento em dispositivos de recursos limitados e, consequentemente com baixo consumo energético, torna toda a solução com menor custo energético quando comparado à computação em nuvem, conforme aponta [33].…”

Section: Requisitos De Plataformas De Fog Computingunclassified

Plataformas de Fog Computing: da Teoria à Prática

Silva

Rocha²,

Batista³

et al. 2020

Minicursos Do XXXVIII Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos

View full text Add to dashboard Cite

Nowadays we are witnessing a significant increase in the amount of IoT devices and the volume of data generated by these devices. Associated with this, more IoT applications have ultra low latency and response time requirements, such that cloud-centric IoT platforms are unable to address these requirements and to adequately handle the increasing volume of data. To support these new applications and handle the increasing volume of IoT data, Fog Computing platforms have been proposed. The Fog Computing paradigm is characterized by a horizontal, system-level architecture where devices that are in the path of IoT data, from its origin in IoT devices to the cloud, are used for processing distribution, storage, and data control. Fog Computing platforms aim to abstract the highly dynamic and heterogeneous environment where they are inserted, in order to facilitate the development of applications by users. This chapter has the following objectives: (i) to present the Fog Computing paradigm; (ii) to survey and discuss the main requirements that guide the development of Fog Computing platforms; (iii) to discuss two proposals of reference architecture for Fog Computing; (iv) to describe the main Fog Computing platforms and contrast them with the requirements previously raised; (v) to demonstrate in a practical way the use of a Fog Computing platform for the context of smart cities. Resumo Atualmente presenciamos um aumento significativo na quantidade de dispositivos IoT e no volume de dados gerados por estes dispositivos. Associado a isto, cada vez mais aplicações IoT possuem requisitos de latência e tempo de resposta ultra baixo, de tal forma que as plataformas IoT centradas na nuvem não conseguem endereçar estes requisitos e tão pouco tratar de maneira adequada o volume crescente de dados. Para suportar estas novas aplicações e tratar o volume crescente de dados IoT, plataformas que empregam

show abstract

On Enabling Sustainable Edge Computing with Renewable Energy Resources

Cited by 99 publications

References 14 publications

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Not All Doom and Gloom: How Energy-Intensive and Temporally Flexible Data Center Applications May Actually Promote Renewable Energy Sources

Plataformas de Fog Computing: da Teoria à Prática

Contact Info

Product

Resources

About