A Survey on Metrics and Measurement Tools for Sustainable Distributed Cloud Networks

Riekstin, Ana Carolina; Rodrigues, Bruno; Nguyen, Kim Khoa; Carvalho, Tereza Cristina de; Meiroşu, Cătălin; Stiller, Burkhard; Cheriet, Mohamed

doi:10.1109/comst.2017.2784803

Cited by 16 publications

(11 citation statements)

References 67 publications

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“…Regarding corporate-level metrics, we observe some organizations using the metric Carbon Intensity, represented by the division of Scope 1 and 2 emissions by the total amount of data transported over its network (CO 2 /T erabyte) [43], as presented in Eq. 1.…”

Section: Energy-efficiencymentioning

confidence: 99%

Performance Evaluation of Publish-Subscribe Systems in IoT Using Energy-Efficient and Context-Aware Secure Messages

Ferraz¹,

Silva²,

Guelfi³

et al. 2021

Preprint

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Background: The Internet of Things (IoT) enables the development of innovative applications in various domains such as healthcare, transportation, and Industry 4.0. Publish-subscribe systems enable IoT devices to communicate with the cloud platform. However, IoT applications need context-aware messages to translate the data into contextual information, allowing the applications to act cognitively. Besides, end-to-end security of publish-subscribe messages on both ends (devices and cloud) is essential. However, achieving security on constrained IoT devices with memory, payload, and energy restrictions is a challenge. Contribution: Messages in IoT need to achieve both energy efficiency and secure delivery. Thus, the main contribution of this paper refers to a performance evaluation of a message structure that standardizes the publish-subscribe topic and payload used by the cloud platform and the IoT devices. We also propose a standardization for the topic and payload for publish-subscribe systems. Conclusion: The messages promote energy efficiency, enabling ultra-low-power and high-capacity devices and reducing the bytes transmitted in the IoT domain. The performance evaluation demonstrates that publish-subscribe systems (namely, AMQP, DDS, and MQTT) can use our proposed energy-efficient message structure on IoT. Additionally, the message system provides end-to-end confidentiality, integrity, and authenticity between IoT devices and the cloud platform.

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Section: Energy-efficiencymentioning

confidence: 99%

Performance Evaluation of Publish-Subscribe Systems in IoT Using Energy-Efficient and Context-Aware Secure Messages

Ferraz¹,

Silva²,

Guelfi³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…While the cloud platform makes it possible to externalize all measurements, store, analyze, and prepare data for other functions [48], there is a need to improve infrastructure and computational power of installations that fit this layer [32]. These improvements should also lead to lower energy consumption [10,51,[102][103][104][105][106], and also decrease maintenance costs [52,102,103,105,106]. Other technological challenges cited by the authors that can contribute to the improvement of activities related to the cloud are the improvement of data collection and acquisition, and scheduling tasks to reduce data traffic in the cloud [16,98,107], increase storage capacity, increase the number of users connected [29,108], reduce cloud saturation bottlenecks [33,53,59,60,69,72,98], improve data processing algorithms [33,46,63], decrease server failures and loss of user data [29,63], and integrate distributed data storage systems [16,63].…”

Section: Cloudmentioning

confidence: 99%

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

et al. 2020

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The use of emerging technologies such as cloud computing, Internet of Things, and Big Data, is increasing as tools to assist the management of data and information related to energy systems grow. This allows for greater flexibility, scalability of solutions, optimization of energy use, and management of energy devices. In this sense, the objective of this research is to present the basic elements and requirements for the energy cloud and its management and discuss the main management challenges and opportunities for the development and diffusion of the energy cloud. This study was based on a systematic review carried out to identify the elements that compose the energy cloud and what is necessary for its management, and to list the challenges and opportunities that may be explored by researchers and practitioners. The results show that the layout for the energy cloud and its management can be structured in layers and management support blocks’ format. It was found that 70 basic elements make up the main layers and 36 basic elements make up the management support blocks. The findings of this article also provide insights into the technical, scientific, and management development necessary for the evolution of energy systems toward the cloud computing environment.

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“…Cloud computing technology support IoT and deployed in cellular networks, but it cannot satisfy the demand for fast multimedia communication and greedy users' expectations with high node mobility [13]. Originally it was built to connect billions of smart-devices with IP-based backbone networks, to fill the hypothesis of "smart-heterogeneous network connectivity to mobile users" [14], but it was not an up-to-the-mark solution to improve the QoE.…”

Section: Fog Network-integrated Cellular Communication Systemmentioning

confidence: 99%

A Fog Computing-Based Device-Driven Mobility Management Scheme for 5G Networks

Biswash

Jayakody

2020

Sensors

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The fog computing-based device-driven network is a promising solution for high data rates in modern cellular networks. It is a unique framework to reduce the generated-data, data management overheads, network scalability challenges, and help us to provide a pervasive computation environment for real-time network applications, where the mobile data is easily available and accessible to nearby fog servers. It explores a new dimension of the next generation network called fog networks. Fog networks is a complementary part of the cloud network environment. The proposed network architecture is a part of the newly emerged paradigm that extends the network computing infrastructure within the device-driven 5G communication system. This work explores a new design of the fog computing framework to support device-driven communication to achieve better Quality of Service (QoS) and Quality of Experience (QoE). In particular, we focus on, how potential is the fog computing orchestration framework? How it can be customized to the next generation of cellular communication systems? Next, we propose a mobility management procedure for fog networks, considering the static and dynamic mobile nodes. We compare our results with the legacy of cellular networks and observed that the proposed work has the least energy consumption, delay, latency, signaling cost as compared to LTE/LTE-A networks.

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A Survey on Metrics and Measurement Tools for Sustainable Distributed Cloud Networks

Cited by 16 publications

References 67 publications

Performance Evaluation of Publish-Subscribe Systems in IoT Using Energy-Efficient and Context-Aware Secure Messages

Performance Evaluation of Publish-Subscribe Systems in IoT Using Energy-Efficient and Context-Aware Secure Messages

Management Challenges and Opportunities for Energy Cloud Development and Diffusion

A Fog Computing-Based Device-Driven Mobility Management Scheme for 5G Networks

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