Mobile Task Offloading Under Unreliable Edge Performance

2021 ◽  
Vol 48 (4) ◽  
pp. 29-32
Author(s):  
Md Rajib Hossen ◽  
Mohammad A. Islam

Offloading resource-hungry tasks from mobile devices to an edge server has been explored recently to improve task com- pletion time as well as save battery energy. The low la- tency computing resource from edge servers are a perfect companion to realize such task offloading. However, edge servers may su er from unreliable performance due to its rapid workload variation and reliance on intermittent re- newable energy. Further, batteries in mobile devices make online optimum offloading decisions challenging since it in- tertwines offloading decisions across di erent tasks. In this paper, we propose a deep Q-learning based task offloading solution, DeepTO, for online task offloading. DeepTO learns edge server performance in a model-free manner and takes future battery needs of the mobile device into account. Us- ing a simulation-based evaluation, we show that DeepTO can perform close to the optimum solution that has com- plete future knowledge.

2016 ◽  
Vol 11 (6) ◽  
pp. 32 ◽  
Author(s):  
Shwu-Ing Wu ◽  
Rou Jyun Chen

<p class="ArticleTitle">In recent years, the increasingly innovative and diverse mobile devices have significantly promoted the mobile device-based shopping. What factors influence this kind of shopping? Will consumers purchase things with mobile devices? These are two topics that need to be explored. Through the literature analysis and the empirical research, this study aims to analyze the quality of information, system, service and mobile devices on the mobile device-based shopping platform. Moreover, it studies the attitude of consumers towards mobile device-based shopping, their willingness to adopt the shopping method and the behavioral relationship model in the actual mobile device-based shopping as well as compares the groups of different frequencies of the Internet use in terms of the relationship model.</p>  With the convenient sampling, this study made an investigation among some of those who had experienced shopping on such mobile devices as tablets or smart phones. The 765 retrieved valid copies of questionnaire were divided into three groups—“often”, “average” and “seldom” according to the frequency consumers undertook mobile device-based shopping and were then compared. The results showed that there were significant differences among the three groups in four relationship paths, including: 1) the information quality of the mobile device-based shopping platform has more significant positive influence on consumers’ attitude path of mobile device-based shopping in the “average” group than in the other two; 2) the service quality of the mobile device-based shopping platform has more significant positive influence on consumers’ attitude path of mobile device-based shopping in the “seldom” group than in the other two; 3) the preference for mobile device-based shopping has much significant positive influence on the behavior path of mobile device-based shopping in the “often” group. According to the research results, different groups have different behavior models. These results can serve as reference information in the decision-making of those who establish mobile device-based shopping platforms and manufacture mobile devices.


2010 ◽  
Vol 7 (4) ◽  
pp. 813-822 ◽  
Author(s):  
Daniel Fuentes ◽  
Juan Álvarez ◽  
Juan Ortega ◽  
Luis Gonzalez-Abril ◽  
Francisco Velasco

This paper focuses on the behavior of Trojan horses in mobile devices. This malicious software tries to steal information from a mobile device while the user is unaware. We describe the communication links through a Trojan horse installed into a mobile device. To demonstrate the effects of a Trojan horse infection we present a practical example on a PDA. Via SMS, the malicious user can access a user?s contacts information through the previous installation of the Trojan horse. The results show that this process means a loss of information and a quantified cost to the attacked user too. This paper proposes different solutions to avoid this malware and its effects.


2010 ◽  
Vol 14 (1) ◽  
pp. 115-124 ◽  
Author(s):  
Weijan Shen ◽  
Fock-Lai Tan

This paper presents the experimental study of using phase change material in the cooling of the mobile devices. It investigates the thermal performance of transient charging and discharging of mobile devices in three different situations; making phone calls frequently, making long duration calls, and making occasional calls. The results show that mobile devices are heated up fastest during the long duration usage. Experiments are also conducted to determine the effect of fins and effect of orientation of the mobile device on its thermal performance.


Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5451
Author(s):  
Loreto Pescosolido ◽  
Emilio Ancillotti ◽  
Andrea Passarella

Optical wireless LANs (OWLs) constitute an emerging networking paradigm for indoor scenarios’ fit to different smart cities’ fields of applications. Commercial products employing this technology have been made available on the market in recent years. In this work, we investigate, through a set of indoor communication experiments based on commercially available products, how different environmental and usage modes affect the performance of the system, addressing the presence of multiple users, the position and mobility of the mobile devices, the handover among adjacent cells and the effect of background lighting. Our finding shows that the system is quite robust with respect to the variation of operational conditions. We show that, in most conditions, the links can reliably sustain a stable throughput, achieving at least 50% of the throughput achieved with using the maximum light intensity of the transmitting lamp, while they are affected in a very mild way by factors like position and height of the mobile device, and virtually unaffected by variations in the background light.


2021 ◽  
Author(s):  
Tarja Heponiemi ◽  
Anu Kaihlanen ◽  
Kia Gluschkoff ◽  
Kaija Saranto ◽  
Sari Nissinen ◽  
...  

BACKGROUND Mobile devices such as tablets and smartphones are increasingly used in health care in many developed countries. Nurses form the largest group in health care that uses electronic health records (EHRs) and their mobile versions. Mobile devices are suggested to promote nurses’ workflow, constant updating of patient information and improve the communication within the health care team. However, little is known about their effect on nurses’ wellbeing. OBJECTIVE The present study aimed to examine the association of mobile device use of the EHR with nurses’ perceived time pressure, stress related to information systems (SRIS) and self-rated stress. Moreover, we examined whether mobile device use modifies the associations of EHR usability (ease of use and technical quality), experience in using EHRs and number of systems in daily use with these wellbeing indicators. METHODS The present study was a cross-sectional population-based survey study among 3,610 Finnish registered nurses gathered in 2020. The associations were examined using analyses of covariance and logistic regression adjusted for age, gender and employment sector (hospital, primary care, social service and other). RESULTS Those who used mobile version of their EHR had higher levels of time pressure ( F(1)= 14.96, p < .001) and SRIS ( F(1)= 6.11, p = .01) compared to those who did not use mobile versions. Moreover, the interactions of mobile device use with experience in using EHRs (F(1) = 14.93, p < .001), ease of use (F(1) = 10.16, p = .001) and technical quality (F(1) = 6.45, p = .01) were significant for SRIS. Inexperience in using EHRs, low levels of ease of use and technical quality were associated with higher SRIS and this association was more pronounced among those who used mobile devices. That is, the highest levels of SRIS were perceived among those who used mobile devices and were inexperienced EHR users, perceived low levels of ease of use or low levels of technical quality of their EHR. CONCLUSIONS According to our results it seems that at the moment mobile device use is not beneficial for the nurses’ wellbeing. In addition, mobile device use seems to intensify the negative effects of usability problems of the EHRs. Especially inexperienced users of EHRs seem be at disadvantage when using mobile devices. Thus, we suggest that EHRs and their mobile versions should be improved in a manner that they would be easier to use and would better support the nurses’ workflow. For example, improvements to problems related to small display, user interface and difficult data entry of mobile versions might be useful. Moreover, more training related to EHRs, their mobile versions and workflow related to these should be provided to nurses.


Crowdsourcing ◽  
2019 ◽  
pp. 838-863
Author(s):  
Maria Antonia Brovelli ◽  
Blagoj Delipetrev ◽  
Giorgio Zamboni

The availability of new mobile devices (tablets and smartphones) equipped with many sensors is changing or, better, enriching the way we monitor and sense the world that surrounds us. The internet has permeated completely not only our scientific and technological development, but also our life. Only some years ago, we used geospatial data and GIS software installed within our computers. Nowadays, data and operators are provided via the net by means of distributed and shared geo-services and a simple and powerless mobile device is enough to connect them. The possibility of interaction has become not only faster and more user friendly but also active, being individuals and communities free of adding, deleting, and changing contents in real time in the new GeoWeb2.0. This chapter explores GeoWeb2.0.


2021 ◽  
Vol 4 (2) ◽  
pp. 55-76
Author(s):  
Dan Oyuga Anne ◽  
Elizaphan Maina

We introduce a novel three stepwise model of adaptive e-learning using multiple learner characteristics. We design a model of a learner attributes enlisting the study domain, summary details of the student and the requirements of the student. We include the theories of learning style to categorize and identify specific individuals so as to improve their experience on the online learning platform and apply it in the model. The affective state extraction model which extracts learner emotions from text inputs during the platform interactions. We finally pass the system extracted information the adaptivity domain which uses the off-policy Q-learning model free algorithm (Jang et al., 2019) to structure the learning path into tutorials, lectures and workshops depending on predefined constraints of learning. Simulated results show better adaptivity incases of multiple characteristics as opposed to single learner characteristics. Further research to include more than three characteristics as in this research.


2021 ◽  
Author(s):  
◽  
Tabitha Gaylyn Kura McKenzie

<p>What are the effects of using mobile devices as part of teacher professional development focused on teaching and learning the Māori language for Māori immersion educational settings? Answers to this question are explored by researching the extent to which electronic devices could be an effective strategy to address the crisis of the continuing decline of the Māori language. Another issue explored in the research is whether learners make expected gains in language proficiency through the use of mobile devices in comparison to standard face-to-face methods of language instruction.  An indigenous framework, Hei Korowai, was used to guide the research and ensure the practices used were culturally appropriate, particularly when entering into and negotiating the research project with participants. Kaupapa Māori and Māori centred approaches were also drawn on to gather data from semi-structured interviews, observations of mobile device use, online questionnaires, and Māori language proficiency tests results. Fifty two participants in total took part in the research, 46 from a PLD programme that used mobile devices and 6 from a separate PLD programme that used mainly face-to-face instruction.  Electronic forms of second language acquisition could be advantageous for learners to access audio and video content on the move and at a time, pace and place convenient for them. The capacity to have literally a library’s worth of resources, functions and internet connectivity all in one tool and at the touch of a button could also be of particular significance to users. Conversely, participant attitudes about technology, varied needs for initial and on-going training in how to operate the electronic devices, and interaction preferences were challenges experienced with utilising the device as part of the language learning and teaching process. Videos viewed on the device could also be seen as one-way learning with a lack of spiritual connection and no opportunities for discussion about content, potentially causing road blocks for learners who need extra support.  Face-to-face instruction was a preferred method for participants and the physical presence of the teacher highly valued to allow the space to pose and answer questions and receive an immediate response, which is not possible when learning via videos on a mobile device. However, there was acknowledgement of the complementary nature and value of utilising the mobile device followed by face-to-face meetings.  Evidence suggests that Māori have been quick to adopt and adapt new technologies since the arrival of the early settlers to the shores of Aotearoa. Could technology be the panacea, the cure-all for the revitalisation of the Māori language, a tool that provides access to language, culture and identity to the multitudes? This research tests the hypotheses in the context of two items of modern technology, the iPod Touch® and the iPad®.  The limitations of the research include potential bias in interpretation given the researcher’s insider position, the relatively small scale of the project, and the absence of a widely accepted theoretical framework for mobile learning. Critical questions that still remain are the implications of promoting ‘one Māori language’ for a large-scale programme and the risks in doing so for the preservation of tribal dialect and community identity. This study has, however, begun the conversation about the use of mobile devices in Māori medium educational settings, and it may contribute to an understanding of how to design technologies, media, and interactions to support learning within these settings towards innovative practices.</p>


2017 ◽  
Vol 2 (3) ◽  
pp. 32-39
Author(s):  
Aya Khalid Naji ◽  
Saad Najim Alsaad

In the development of 3G devices, all elements of multimedia (text, image, audio, and video) are becoming crucial choice for communication. The secured system in 3G devices has become an issue of importance, on which lot of research is going on. The traditional cryptosystem like DES, AES, and RSA do not able to meet with the properties of the new generation of digital mobile devices. This paper presents an implementation of video protection of fully encrypted using Elliptic Curve   Cryptography (ECC) on a mobile device. The Android platform is used for this purpose.  The results refer that the two important criteria of video mobile encryption: the short computation time required and high confidentially are provided.


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