On the Evaluation of the Total-Cost-of-Ownership Trade-Offs in Edge vs Cloud Deployments: A Wireless-Denial-of-Service Case Study

Nikolaou, Panagiota; Sazeides, Yiannakis; Lampropoulos, Alejandro; Guilhot, Denis; Bartolí, Andrea; Papadimitriou, George; Chatzidimitriou, Athanasios; Gizopoulos, Dimitris; Tovletoglou, Konstantinos; Mukhanov, Lev; Karakonstantis, Georgios

doi:10.1109/tsusc.2019.2894018

Cited by 7 publications

(4 citation statements)

References 32 publications

(35 reference statements)

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“…1 Numerous other research works are exploring alternative approaches to develop energy-efficient systems across all the layers of the hardware-software-application/service stack-from processors, servers, and energy management systems to applications and service pricing policies-using modeling, simulation, experiments or observation. In particular, research and industrial efforts in computer architecture are focusing on the design of energy-efficient processors, accelerators, and servers, 13 which can reduce their power consumption by switching-off completely during periods of inactivity or by switching between high and low-power states in response to fluctuating workloads, 7,64,116,[118][119][120] provisioned power constraints ("power caps"), 121,122 or intermittent availability of "green" energy. 123 In the area of data center middleware, many studies focus on the energy-efficient management of a data center's workload using various algorithms from machine learning, 19,124,125 self-adaptive scheduling and optimization, 126 to resource allocation, task placement and scheduling.…”

Section: Benchmarking Experimentsmentioning

confidence: 99%

“…This trend is further reinforced by the impressive reduction in the cost of implementing RES such as PV arrays 58‐60 . Consequently, many research studies sought to analyze and understand the energy profile of data center systems 15,36,42,52,57,64,110,111 and applications, 19,25,27,33,112 their impact on the environment 10,113‐115 and on the cost of owning and operating a data center 7,61,116 . Also, many industrial initiatives 35,37 are focusing on the implementation of, and experimentation with “green” data centers, which generate their own renewable energy or draw it directly from existing nearby plants.…”

Section: Energy‐efficient Data Centers: Status and Trendsmentioning

confidence: 99%

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A cyber‐physical management system for medium‐scale solar‐powered data centers

Dikaiakos

Chatzigeorgiou

Tryfonos

et al. 2023

Concurrency and Computation

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Summary The effort to reduce the environmental impact and carbon footprint of data‐center operations has led to the emergence of “green” data centers, which are designed to reduce energy consumption and to increase their use of Renewable Energy Sources (RES). Despite the advances demonstrated by hyper‐scale facilities in energy efficiency and the use of green energy, small and medium‐scale data centers, which contribute to over 50% of the total electricity consumption and carbon emissions of the sector, face significant challenges in the adoption and exploitation of RES. In this article, we present the steps taken to transform a medium‐scale, academic data center into a “green” one that uses solar power. In particular, we describe the design and implementation of: (i) a collocated photovoltaic facility and (ii) a cyber‐physical system comprising IoT sensor devices, a microservices platform, and a visualization and analytics dashboard that supports the configuration and monitoring of the infrastructure. Using data collected from the platform and dashboard, we show the environmental and financial advantages derived from this transformation, and the potential that arises from the availability of integrated operational data.

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Section: Benchmarking Experimentsmentioning

confidence: 99%

Section: Energy‐efficient Data Centers: Status and Trendsmentioning

confidence: 99%

A cyber‐physical management system for medium‐scale solar‐powered data centers

Dikaiakos

Chatzigeorgiou

Tryfonos

et al. 2023

Concurrency and Computation

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“…These costs are mainly divided into two categories, there are Capital Expenditure (Capex) and Operational Expenditure (Opex) as given by Eq. 8 (Nikolaou et al 2022).…”

Section: Total Cost Of Ownershipmentioning

confidence: 99%

Asset Useful Life Evaluation Model by Annualized Total Cost of Ownership

Basuki¹,

Kurniati²

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Asset management integrates multi-functional view to achieve the effectiveness and efficiency of the assets by balancing costs, risks, opportunities, and performance benefits. However, the relation between maintenance strategy and asset Total Cost of Ownership (TCO) has not been widely discussed in previous researches. This study evaluates the useful life of a typical physical asset by considering the aspect of maintenance strategy in the TCO calculation. The maintenance and failure database are utilized to accomplish this objective. Monte Carlo simulation is used as an integrated approach in the proposed model, specifically to simulate the failure uncertainty. An equipment from a cement production plant is used as a case study to test the proposed model and results in the desired output. Therefore, the proposed model contributes to the integration of maintenance strategy and asset TCO to evaluate the useful life of an asset.

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“…Vishwanath et al present a model for the performance, reliability and cost of modular data center solutions [18]. Nikolaou et al investigate the total cost of ownership (TCO) of micro-datacenters at the edge and demonstrate that the edge based solution can have a significantly lower TCO when compared to a cloud based solution [19]. Qouneh et al examine the cooling costs of container-based data centers and show that considerable savings can be made when compared to raised floor data centers [20].…”

Section: Modular Data Centre Designmentioning

confidence: 99%

Case Studies for Achieving a Return on Investment With a Hardware Refresh in Organizations With Small Data Centers

Doyle

Bashroush

2021

IEEE Trans. Sustain. Comput.

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Data centers have been highlighted as a major energy consumer and there has been an increasing trend towards the consolidation of smaller data centers into larger facilities. Yet, small data centers exist for a variety of reasons and account for a significant portion of the total number of servers. Frequent refreshes of IT hardware have emerged as a trend in hyper-scale data centers but little attention has been paid to how these savings can be achieved in smaller facilities. This work provides a comprehensive framework for the energy saving opportunities while determining when a return on investment can be achieved to enable small data center operators to create credible business cases for hardware refreshes. Various data center deployment scenarios are used as case studies (based on real-life datasets) to validate the proposed concepts. Our results show that a return on investment can be achieved for organizations with small data center in less than two years and that these organizations can save more than three times their annual electricity cost over five years.

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On the Evaluation of the Total-Cost-of-Ownership Trade-Offs in Edge vs Cloud Deployments: A Wireless-Denial-of-Service Case Study

Cited by 7 publications

References 32 publications

A cyber‐physical management system for medium‐scale solar‐powered data centers

A cyber‐physical management system for medium‐scale solar‐powered data centers

Asset Useful Life Evaluation Model by Annualized Total Cost of Ownership

Case Studies for Achieving a Return on Investment With a Hardware Refresh in Organizations With Small Data Centers

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