Energy saving strategies in the design of mobile device applications

Viveros, Amilcar Meneses; Hernández-Rubio, Erika; Mendoza, Sonia; Rodríguez, José; Quintos, Ana Belem Márquez

doi:10.1016/j.suscom.2018.07.011

Cited by 8 publications

(9 citation statements)

References 24 publications

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“…Basing on the results of this aspect, Mobile users are recommended to buy devices and install applications that are simple for them to use [43]. Mobile devices like smartphones and tablets contain applications that are intended for end-users as their main feature [44] thus, developers must take care of Human-Computer Interaction (HCI) aspects.…”

Section: Resultsmentioning

confidence: 99%

Increasing User Satisfaction of Mobile Commerce using Usability

Lynn¹,

Sourav²,

Setyohadi³

2020

IJACSA

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Online shopping continues to simplify people's way of life in the present world. People no longer need to physically visit stores to buy items for home use or other purposes. This can be done online using mobile applications to order for preferred items, which can be delivered in return. However, the increase in the features of mobile applications and mobile devices makes usability testing a necessary aspect in today's advancement of technology. This paper uses an experiment-based usability testing evaluation on Lazada Indonesia mobile application to understand four usability factors, namely, ease of use, efficiency, functionality, and satisfaction. The test was performed using 40 participants and all were students from Universitas Atma Jaya Yogyakarta, Universitas Gadjah Mada, and Universitas Sanata Dharma. These performed 6 tasks on the mobile application and later answered a questionnaire to capture their views concerning the usability of the mobile application. The results were analyzed using SPSS software and descriptive statistics were displayed using standard deviation and arithmetic means. The results from the evaluation showed that the mobile application is easy to use, efficient, and has good functionality. However, some issues were mentioned by participants which indicated that users were not fully satisfied with the mobile application. Therefore, this calls for designers to consider these usability issues to increase user satisfaction.

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Section: Resultsmentioning

confidence: 99%

Increasing User Satisfaction of Mobile Commerce using Usability

Lynn¹,

Sourav²,

Setyohadi³

2020

IJACSA

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“…The concept of energy saving development has not yet been defined in science. Obviously, before making managerial decisions, it is necessary to have clear representation of the essential characteristics of this term, because the correct definition helps to understand the choice of strategy to increase energy efficiency at the enterprise level and the country on the whole (Dzwigol & Dzwigol-Barosz, 2018;Dzwigol et al, 2019;Karpenko et al, 2018;Meneses-Viveros et al, 2018; National Action Plan for Energy Efficiency, 2008;Pajak et al, 2017;Thøgersen, 2018;Zhang et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

Scientific prediction of the balanced energy saving development strategy of the construction projects

Ткаченко

Klymchuk

Ivakhnenko

2019

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The article explores the process of syncretisation of the concepts of "Green Lease", "Surveying" and "Balanced Scorecard" in the formation of strategy of energy saving development of construction projects. As a result of the conducted analysis of the systems, it was proposed to incorporate the category “energy saving development” to scientific terminology from the perspective of increasing energy efficiency and energy saving of the construction projects, defined as scientific categorical status of this concept. Within the framework of four interconnected main projects of the Balanced Scorecard, a basic model of the energy saving development system of construction projects is formed, taking into account the purpose, the stages, and schemes of implementation. Conceptual and integrative approaches have been implemented in the energy saving development system of construction projects based on the symbiosis of modern concepts of “Green leasing” and “Surveying”, which will provide the opportunity to use the latest effective practices in the construction of energy efficient buildings. The strategic map for implementation of energy saving development for LLC “KAN Development” was developed, where the proposals of the implementation of an effective strategy on the energy saving platform with the regard to innovative management and energy efficient technologies were presented within four projections of “Balanced Scorecard” (finance, customers, business processes, personnel).

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“…The power consumption aspect has been very important since mobile devices, including mobile phones, first came into existence. A lot of papers have been published on this matter including [8] [9] and some recent studies where authors present a general analysis of power management in the context of mobile devices [10] and energy saving strategies in the context of mobile device applications [11]. In [9], the authors present different methods described in literature that allow for increasing the energy efficiency of mobile devices at the software and hardware levels, including power management at the level of operating system, the management of sensors and communication interfaces and the use of cloud computing.…”

Section: Related Workmentioning

confidence: 99%

“…In [9], the authors present different methods described in literature that allow for increasing the energy efficiency of mobile devices at the software and hardware levels, including power management at the level of operating system, the management of sensors and communication interfaces and the use of cloud computing. [11] presents the strategies that can be implemented by the mobile application developer: Mobile Computation Offloading, sequential programs and GUI design.…”

Section: Related Workmentioning

confidence: 99%

Adaptive context-aware energy optimization for services on mobile devices with use of machine learning considering security aspects

Nawrocki

Śnieżyński

Kołodziej

et al. 2020

2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)

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In this paper we present an original adaptive task scheduling system, which optimizes the energy consumption of mobile devices using machine learning mechanisms and context information. The system learns how to allocate resources appropriately: how to schedule services/tasks optimally between the device and the cloud, which is especially important in mobile systems. Decisions are made taking the context into account (e.g. network connection type, location, potential time and cost of executing the application or service). In this study, a supervised learning agent architecture and service selection algorithm are proposed to solve this problem. Adaptation is performed online, on a mobile device. Information about the context, task description, the decision made and its results such as power consumption are stored and constitute training data for a supervised learning algorithm, which updates the knowledge used to determine the optimal location for the execution of a given type of task. To verify the solution proposed, appropriate software has been developed and a series of experiments have been conducted. Results show that due to the experience gathered and the learning process performed, the decision module has consequently become more efficient in assigning the task to either the mobile device or cloud resources. In face of presented improvements, the security issues inherent within the context of mobile application and cloud computing are further discussed. As threats associated with mobile data offloading are a serious concern, often preventing the utilization of cloud services, we propose a more security focused approach for our solution, preferably without hindering the performance.

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Energy saving strategies in the design of mobile device applications

Cited by 8 publications

References 24 publications

Increasing User Satisfaction of Mobile Commerce using Usability

Increasing User Satisfaction of Mobile Commerce using Usability

Scientific prediction of the balanced energy saving development strategy of the construction projects

Adaptive context-aware energy optimization for services on mobile devices with use of machine learning considering security aspects

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