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Your search keyword '"Razzaque, Md. Abdur"' showing total 78 results
Start Over Author "Razzaque, Md. Abdur" Publisher ieee
78 results on '"Razzaque, Md. Abdur"'

28. Optimal Dynamic Pricing for Trading-Off User Utility and Operator Profit in Smart Grid.

Author

Ferdous, Jannatul, Mollah, Md. Parvez, Razzaque, Md. Abdur, Hassan, Mohammad Mehedi, Alamri, Atif, Fortino, Giancarlo, and Zhou, MengChu

Subjects
TIME-based pricing, ELECTRIC power distribution grids, GRIDS (Cartography), PROFIT, AUTOMATION
Abstract

A conventional power grid is criticized by its poor capability of power usage management, especially in handling dynamically varying power demands over time. The concept of smart grid has been introduced to mitigate this problem by satisfying not only real-time power demands, but also by restricting power usage within the capacity. Its consistent outperformance and new perspective in computer intelligence to control the grid for autonomous power consumption has been gradually replacing the conventional power grid. However, even in smart grid, providing high satisfaction to users often leads smart grid operator (SGO) to loss and vice versa. In this paper, we develop an optimal dynamic pricing mechanism for trading-off (ODPT), for SGOs that tradeoff between user utility and operator profit in smart grid systems. It allows the operator to purchase power from multiple energy producers and to set selling price to users dynamically following the demand-supply theory of economics. It also exploits an artificial neural network model to more accurately predict the power usage. The simulation results, carried out on a commercially available optimization modeling tool using practical power usage data, prove the effectiveness of the proposed ODPT in increasing the operator profit while satisfying user demands. [ABSTRACT FROM AUTHOR]

Published
2020
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47. A Mobility-Aware Optimal Resource Allocation Architecture for Big Data Task Execution on Mobile Cloud in Smart Cities.

Author

Enayet, Asma, Razzaque, Md. Abdur, Hassan, Mohammad Mehedi, Alamri, Atif, and Fortino, Giancarlo

Subjects
*CLOUD computing, *MOBILE computing, *BIG data, *SMART cities, *QUALITY of service
Abstract

In recent years, the smart city concept, which involves multiple disciplines, for example, smart healthcare, smart transportation, and smart community, has become popular because of its ability to improve urban citizens' quality of life. However, most services in these areas of smart cities have become data-driven, thus generating big data that require seamless real-time access, sharing, storing, processing, and analysis anywhere at any time for intelligent decision making to improve living standards. In this scenario, MCC can play a vital role by allowing a mobile device to access and offload big-data-related tasks to powerful cloudlet servers attached to many wireless APs, thus ensuring that the QoS demands of end users are met. However, the connectivity of mobile devices with a given AP is not continuous, but rather sporadic with varying signal strengths. Furthermore, the heterogeneity of the cloudlet resources and the big data application requests place additional challenges in making optimal code execution decision. To cope with this problem, this article proposes a mobility- aware optimal resource allocation architecture, namely Mobi-Het, for remote big data task execution in MCC that offers higher efficiency in timeliness and reliability. The system architecture and key components of the proposed resource allocation service are presented and evaluated. The results of experiments and simulations have demonstrated the effectiveness and efficiency of the proposed Mobi-Het architecture for mobile big data applications. [ABSTRACT FROM AUTHOR]

Published
2018
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