Energy efficient cloud service pricing: A two-timescale optimization approach

Paul, Debdeep; Zhong, Wen‐De; Bose, Sanjay K.

doi:10.1016/j.jnca.2015.10.016

Cited by 13 publications

(13 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is the aspect of our model, which considers the operational details of the data centers, operated by the IaaS/PaaS providers. The model we adopt here is the same as the one in [36]. This is based on a discrete time based control where the servers are dynamically controlled as per the service requirement.…”

Section: E[x]mentioning

confidence: 99%

“…[19]. We assume that the data center is being operated in the real time electricity market, which is quite common in practice, and that the data centers are quite big consumers of electricity [19,25,36]. Hence, the energy cost incurred by IaaS provide i in the timeslot t is given by:…”

Section: E[x]mentioning

confidence: 99%

“…As done previously in our earlier work [36], we assume that there is a centralized coordinator who mediates the load balancing process between the IaaS providers. However, [27] did not differentiate between SaaS providers and IaaS providers, which is considered in the present paper.…”

Section: Of 19mentioning

confidence: 99%

“…In this competitive market, the CSPs need to optimally offer their services to the customers and charge optimally to earn revenue and grow financially. In our previous work, we had addressed the energy efficiency issue through appropriate pricing [36]. It may be noted that all the works mentioned above considered a flat cloud service market with one layer of service providers and one layer of consumers (customers).…”

Section: Introductionmentioning

confidence: 99%

“…Various techniques to achieve energy efficiency by pricing and incentivization can be found in [37] and the references therein. Energy efficiency by pricing and incentivization specifically in the context of multiple data centers can be found in [36,38] and the references therein.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Energy Aware Pricing in a Three-Tiered Cloud Service Market

2016

Self Cite

View full text Add to dashboard Cite

Abstract:We consider a three-tiered cloud service market and propose an energy efficient pricing strategy in this market. Here, the end customers are served by the Software-as-a-Service (SaaS) providers, who implement customized services for their customers. To host these services, these SaaS providers, in turn, lease the infrastructure related resources from the Infrastructure-as-a-Service (IaaS) or Platform-as-a-Service (PaaS) providers. In this paper, we propose and evaluate a mechanism for pricing between SaaS providers and Iaas/PaaS providers and between SaaS providers and the end customers. The pricing scheme is designed in a way such that the integration of renewable energy is promoted, which is a very crucial aspect of energy efficiency. Thereafter, we propose a technique to strategically provide an improved Quality of Service (QoS) by deploying more resources than what is computed by the optimization procedure. This technique is based on the square root staffing law in queueing theory. We carry out numerical evaluations with real data traces on electricity price, renewable energy generation, workload, etc., in order to emulate the real dynamics of the cloud service market. We demonstrate that, under practical assumptions, the proposed technique can generate more profit for the service providers operating in the cloud service market.

show abstract

Section: E[x]mentioning

confidence: 99%

Section: E[x]mentioning

confidence: 99%

Section: Of 19mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Energy Aware Pricing in a Three-Tiered Cloud Service Market

2016

Self Cite

View full text Add to dashboard Cite

show abstract

Proposal for a new layer for energy cloud management: The regulatory layer

et al. 2021

View full text Add to dashboard Cite

Summary The global energy matrix has been transforming in recent years and today it is moving toward a decentralized form of management for the generation of clean energy worldwide. With this, new ways of management for the energy environment has been emerging, being the Energy Cloud (EC), through cloud computing, one of these trends that seek to optimize the process of generation, distribution, storage and energy consumption, making the most flexible and dynamic energy market. Given these motivations, the objective of this article is to discuss the proposal of a series of technical, economic, and environmental standards for energy management in a cloud computing environment. For this, a systematic review was carried out to identify these regulatory suggestions, where through the reading and analysis of 121 articles, 72 suggestions were extracted and classified according to the layers and management support blocks of from EC management environment. Besides, these policies were grouped according to their approach into technical, economic, and environmental factors to identify what was already proposed by the academy's authors and what are the regulatory deficiencies for EC. These regulatory suggestions can be used by policy‐makers, researchers, and managers of this innovative energy management environment, which is the EC. Novelty Statement This study consists of a regulatory proposal for Energy Cloud (EC), an innovative energy management environment. As there is still no regulatory body responsible for the regulation of EC, the main contribution of this article is the proposal of a regulation layer. In this sense, 72 suggestions for standards were raised, presenting a new layer for EC.

show abstract