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Journal articles on the topic 'Mobile computing'

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Published: 4 June 2021
Last updated: 29 July 2024

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1

Courtney, M. "Upwardly mobile [mobile computing]." Engineering & Technology 8, no. 7 (August 1, 2013): 56. http://dx.doi.org/10.1049/et.2013.0723.

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2

Satyanarayanan, Mahadev. "Mobile computing." ACM SIGMOBILE Mobile Computing and Communications Review 15, no. 2 (August 2011): 2–10. http://dx.doi.org/10.1145/2016598.2016600.

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Cuddy, Colleen. "Mobile Computing." Journal of Electronic Resources in Medical Libraries 6, no. 1 (February 19, 2009): 64–68. http://dx.doi.org/10.1080/15424060802705301.

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Satyanarayanan, M. "Mobile computing." ACM SIGMOBILE Mobile Computing and Communications Review 1, no. 1 (April 1997): 17–21. http://dx.doi.org/10.1145/583973.583980.

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Satyanarayanan, M. "Mobile computing." Computer 26, no. 9 (September 1993): 81–82. http://dx.doi.org/10.1109/2.231283.

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Ellermann, Todd R. "Mobile Computing." Journal of Business Strategy 23, no. 3 (March 2002): 11–12. http://dx.doi.org/10.1108/eb040243.

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7

Rothermel, Kurt. "Mobile Computing." Informatik - Forschung und Entwicklung 16, no. 4 (November 2001): 177–78. http://dx.doi.org/10.1007/s004500100098.

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8

R. Nuiaa, Riyadh. "Mobile cloud is the infrastructure that facilitates the offloading of storage and computing resources of mobile devices pertaining mobile applications to cloud computing. Mobile devices can run expensive applications using mobile cloud as they can outsour." Journal of Education College Wasit University 1, no. 22 (January 18, 2018): 759–72. http://dx.doi.org/10.31185/eduj.vol1.iss22.234.

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Mobile cloud is the infrastructure that facilitates the offloading of storage and computing resources of mobile devices pertaining mobile applications to cloud computing. Mobile devices can run expensive applications using mobile cloud as they can outsource services to cloud while providing interface for mobile users. Emerging mobile applications that are expensive can overcome the inherent problems of hand held devices through the concept of mobile cloud computing. The offloading process provide mobiles a rich platform for pervasive computing with on-demand services linked to cloud computing through mobile cloud infrastructure. Thus the mobile cloud computing is an inevitable phenomenon which bring about plethora of pros besides the mobility. The mobile cloud users can perform their resource intensive operations on the fly without time and geographical restrictions. In spite of the advantages it bestows mobile cloud computing has its own security issues. This paper throws light into the security issues and solutions in terms of secure channels transmission in mobile cloud computing. In this paper, we present state-of-the-art of mobile cloud computing besides its security aspects that are to be taken care of for successful mobile cloud computing.
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9

Sumit, Sumit, Ms Kirti Bhatia, and Ms Shalini Bhadola. "Cloud Computing using Mobile Phone." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 995–1000. http://dx.doi.org/10.31142/ijtsrd23145.

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10

R, Jain. "Survey on Mobile Cloud Computing." Advances in Robotic Technology 2, no. 1 (January 19, 2024): 1–7. http://dx.doi.org/10.23880/art-16000111.

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The paper explores how cloud computing offers the capacity to improve computing features and application services while addressing its transformative impact on mobile device systems. It recognizes, yet, the security risks associated with transferring data and computing. Using various cloud types for secure information searches and security-critical activities, the research proposal proposes a secure exporting architecture to basic clouds. It shows the significance of cryptography, confidentiality security measures, and data security methods in solving these security issues with cloud computing and mobile cloud computing (MCC). From the perspective of the specific challenges of mobile environments, that abstract's argument indicates the need for further research to enhance mobile cloud-based applications and improve these security technologies.
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11

Kwun Han and S. Ghosh. "Going mobile [mobile-computing networks]." IEEE Circuits and Devices Magazine 14, no. 1 (1998): 10–22. http://dx.doi.org/10.1109/101.648595.

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12

Gururaj, H. L. "A comprehensive analysis of security challenges in mobile cloud computing." i-manager’s Journal on Cloud Computing 10, no. 2 (2023): 35. http://dx.doi.org/10.26634/jcc.10.2.20419.

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The computing capability of mobile systems is enhanced by cloud computing. Mobile devices can rely on cloud computing to perform computationally intensive operations such as data mining and searching. Mobile cloud computing refers to the availability of cloud computing services in a mobile environment. It is a combination of mobile networks and cloud computing, providing optimal services for mobile users. The use of mobile cloud computing overcomes performance-related obstacles, such as bandwidth, storage capacity, and battery life, as well as environment-related issues like availability, scalability, and heterogeneity. Security threats have become obstacles in the rapid adaptability of the mobile cloud computing paradigm, and there is a significant risk associated with migrating storage and data processing from mobiles to clouds. User privacy and the integrity of data and applications are key concerns that most cloud providers prioritize. This paper reviews the concept of mobile cloud computing and the security issues inherent within the context of mobile applications and cloud computing. It analyzes and compares various possible approaches proposed by researchers to address security and privacy issues in MCC. Despite widespread adoption, challenges like interoperability and standardization persist. Ongoing efforts focus on establishing common protocols, while research explores integrating technologies like edge computing and AI to enhance mobile cloud capabilities. This paper examines the dynamic landscape of MCC, addressing security concerns and exploring advancements and challenges, contributing to ongoing discussions on optimization, security, and the future of mobile cloud computing. As the field continues to evolve, researchers are actively working on developing comprehensive frameworks that not only address current security challenges but also anticipate and mitigate emerging threats in the ever-changing landscape of mobile cloud computing.
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13

Somula, Rama Subbareddy, and Sasikala R. "A Survey on Mobile Cloud Computing: Mobile Computing + Cloud Computing (MCC = MC + CC)." Scalable Computing: Practice and Experience 19, no. 4 (December 29, 2018): 309–37. http://dx.doi.org/10.12694/scpe.v19i4.1411.

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In recent years, the mobile devices become popular for communication and running advanced real time applications such as face reorganization and online games. Although, mobile devices advanced for providing significant benefits for mobile users. But still, these devices suffers with limited recourses such as computation power, battery and storage space due to the portable size. However, The Cloud Technology overcome the limitations of mobile computing with better performance and recourses. The cloud technology provides enough computing recourses to run mobile applications as storage computing power on cloud platform. Therefore, the novel technology called mobile cloud computing (MCC) is introduced by integrating two technologies (Mobile Computing, Cloud Computing) in order to overcome the limitations(such as Battery life, Storage capacity, Processing capacity) of Mobile Devices by offloading application to recourse rich Remote server. This paper presents an overview of MCC, the advantages of MCC, the related concepts and the technology beyond various offloading frameworks, the architecture of the MCC, Cloudlet technology, security and privacy issues and limitations of mobile cloud computing. Finally, we conclude with feature research directions in MCC.
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14

Kurhinen, J. "Mobile Computing Environment." Telecommunications and Radio Engineering 58, no. 9-10 (2002): 7. http://dx.doi.org/10.1615/telecomradeng.v58.i9-10.110.

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15

Hsu, Ching-Hsien, Shangguang Wang, Yan Zhang, and Anna Kobusinska. "Mobile Edge Computing." Wireless Communications and Mobile Computing 2018 (June 27, 2018): 1–3. http://dx.doi.org/10.1155/2018/7291954.

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16

Asokan, N., Jan-Erik Ekberg, Kari Kostiainen, Anand Rajan, Carlos Rozas, Ahmad-Reza Sadeghi, Steffen Schulz, and Christian Wachsmann. "Mobile Trusted Computing." Proceedings of the IEEE 102, no. 8 (August 2014): 1189–206. http://dx.doi.org/10.1109/jproc.2014.2332007.

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17

Beck, Michael Till, Sebastian Feld, Claudia Linnhoff-Popien, and Uwe Pützschler. "Mobile Edge Computing." Informatik-Spektrum 39, no. 2 (February 23, 2016): 108–14. http://dx.doi.org/10.1007/s00287-016-0957-6.

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18

Mahenge, Michael P. J., Chunlin Li, and Camilius A. Sanga. "Mobile Edge Computing." International Journal of Mobile Computing and Multimedia Communications 10, no. 3 (July 2019): 23–46. http://dx.doi.org/10.4018/ijmcmc.2019070102.

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The overwhelming growth of resource-intensive and latency-sensitive applications trigger challenges in legacy systems of mobile cloud computing (MCC) architecture. Such challenges include congestion in the backhaul link, high latency, inefficient bandwidth usage, insufficient performance, and quality of service (QoS) metrics. The objective of this study was to find out the cost-efficient design that maximizes resource utilization at the edge of the mobile network which in return minimizes the task processing costs. Thus, this study proposes a cooperative mobile edge computing (coopMEC) to address the aforementioned challenges in MCC architecture. Also, in the proposed approach, resource-intensive jobs can be unloaded from users' equipment to MEC layer which is potential for enhancing performance in resource-constrained mobile devices. The simulation results demonstrate the potential gain from the proposed approach in terms of reducing response delay and resource consumption. This, in turn, improves performance, QoS, and guarantees cost-effectiveness in meeting users' demands.
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19

Pejovic, Veljko, and Mirco Musolesi. "Anticipatory Mobile Computing." ACM Computing Surveys 47, no. 3 (April 16, 2015): 1–29. http://dx.doi.org/10.1145/2693843.

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20

Yang, Yuhang, and Maode Ma. "Sustainable mobile computing." Computing 96, no. 2 (August 9, 2013): 85–86. http://dx.doi.org/10.1007/s00607-013-0309-1.

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21

V.Arun, V. Arun, and Dr K. L. Shunmuganathan Dr. K.L. Shunmuganathan. "Secure Sandbox for Mobile Computing Host with Shielded Mobile Agent." Indian Journal of Applied Research 3, no. 9 (October 1, 2011): 296–97. http://dx.doi.org/10.15373/2249555x/sept2013/87.

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22

Bellavista, P., A. Corradi, and C. Stefanelli. "Mobile agent middleware for mobile computing." Computer 34, no. 3 (March 2001): 73–81. http://dx.doi.org/10.1109/2.910896.

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23

Parveen Shaik, Dr Sajeeda. "Strategic Placement of Servers in Mobile Cloud Computing: A Comprehensive Exploration of Edge Computing, Fog Computing, and Cloudlet Technologies." INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING & APPLIED SCIENCES 8, no. 4 (2020): 24–28. http://dx.doi.org/10.55083/irjeas.2020.v08i04009.

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Mobile Cloud Computing (MCC) has become integral to the advancement of mobile applications, necessitating strategic server placement for optimized performance. This review article explores three pivotal technologies—Edge Computing, Fog Computing, and Cloudlet Technologies—aimed at addressing the challenges posed by traditional cloud-centric models in MCC environments. The paper provides a thorough analysis of each approach, elucidating their architectural principles, benefits, and applications. Edge Computing’s proximity to end-users, Fog Computing’s intermediary role, and the localized Cloudlet Technologies are scrutinized. A comparative analysis offers insights into their strengths and limitations, aiding in determining their suitability based on diverse use cases. Real-world applications showcase the transformative impact of these technologies in enhancing mobile experiences across sectors such as healthcare, gaming, and more. The review concludes with a discussion on the challenges inherent in each strategy and proposes future research directions. This comprehensive exploration serves as a valuable resource for researchers, practitioners, and decision-makers navigating the dynamic landscape of strategic server placement in MCC, contributing to the optimization of performance and user experience in mobile applications and services.
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24

Akherfi, Khadija, Hamid Harroud, and Michael Gerndt. "A Mobile Cloud Middleware to Support Mobility and Cloud Interoperability." International Journal of Adaptive, Resilient and Autonomic Systems 7, no. 1 (January 2016): 41–58. http://dx.doi.org/10.4018/ijaras.2016010103.

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With the recent advances in cloud computing and the improvement in the capabilities of mobile devices in terms of speed, storage, and computing power, Mobile Cloud Computing (MCC) is emerging as one of important branches of cloud computing. MCC is an extension of cloud computing with the support of mobility. In this paper, the authors first present the specific concerns and key challenges in mobile cloud computing. They then discuss the different approaches to tackle the main issues in MCC that have been introduced so far, and finally focus on describing the proposed overall architecture of a middleware that will contribute to providing mobile users data storage and processing services based on their mobile devices capabilities, availability, and usage. A prototype of the middleware is developed and three scenarios are described to demonstrate how the middleware performs in adapting the provision of cloud web services by transforming SOAP messages to REST and XML format to JSON, in optimizing the results by extracting relevant information, and in improving the availability by caching. Initial analysis shows that the mobile cloud middleware improves the quality of service for mobiles, and provides lightweight responses for mobile cloud services.
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25

K., Arul Jothy, Sivakumar K., and Delsey M.J. "Distributed System Framework for Mobile Cloud Computing." Bonfring International Journal of Research in Communication Engineering 8, no. 1 (February 28, 2018): 05–09. http://dx.doi.org/10.9756/bijrce.8357.

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26

Ambika, Kuruba, and Dr Gobi N. "Evolution and Future Trends in Mobile Computing." International Journal of Research Publication and Reviews 5, no. 3 (March 21, 2024): 5619–22. http://dx.doi.org/10.55248/gengpi.5.0324.0837.

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27

Bansal, Himani. "Mobile Cloud Computing Research: Issues and Challenges." International Journal of Science and Research (IJSR) 12, no. 5 (May 5, 2023): 2033–36. http://dx.doi.org/10.21275/mr23523120157.

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28

Ramya, K. "Mobile Computing Broadband Networks." International Journal for Research in Applied Science and Engineering Technology V, no. II (February 28, 2017): 292–94. http://dx.doi.org/10.22214/ijraset.2017.2045.

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29

Amaravadi, Chandra Sekhar, and George Mangalaraj. "Research in Mobile Computing." International Journal of Virtual Communities and Social Networking 7, no. 1 (January 2015): 36–51. http://dx.doi.org/10.4018/ijvcsn.2015010104.

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The mobile phone has emerged as the most significant addition to IT infrastructure since the birth of the internet. It has also spawned a prodigious amount of research. However, in the IS field there is a paucity of technical research in mobile computing. The authors justify this position via a survey of the literature as well as a survey of leading conferences in IS. Predictably, the IS field is focused on impact and usage studies rather than design so this is a tremendous opportunity for the field. According to the authors' survey of IS conferences that includes over 8,500 articles, the number of publications dealing with technical research is only 0.53%. This is clearly cause for concern. The authors' position is that the IS field could have a major role in the design and development of the device and that the design science methodology with its focus on artifacts is an appropriate methodology for this exciting field.
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30

Edmondson, James, William Anderson, Jeff Gray, Joseph P. Loyall, Klaus Schmid, and Jules White. "Next-Generation Mobile Computing." IEEE Software 31, no. 2 (2014): 44–47. http://dx.doi.org/10.1109/ms.2014.39.

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31

Dunham, Margaret H., and Abdelsalam Helal. "Mobile computing and databases." ACM SIGMOD Record 24, no. 4 (December 1995): 5–9. http://dx.doi.org/10.1145/219713.219727.

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32

Adatia, Feisal A. "Mobile Computing for Ophthalmologists." Techniques in Ophthalmology 5, no. 2 (June 2007): 78–84. http://dx.doi.org/10.1097/ito.0b013e31806f58d4.

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33

Jain, Sandeep. "Introduction to mobile computing." XRDS: Crossroads, The ACM Magazine for Students 7, no. 2 (December 2000): 2. http://dx.doi.org/10.1145/355146.355147.

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34

Jones, A. "Mobile Computing to Go." IEEE Concurrency 7, no. 2 (April 1999): 20–23. http://dx.doi.org/10.1109/mcc.1999.766958.

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35

Pejović, Veljko. "Towards Approximate Mobile Computing." GetMobile: Mobile Computing and Communications 22, no. 4 (May 2, 2019): 9–12. http://dx.doi.org/10.1145/3325867.3325871.

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36

Resende, Mauricio G. C. "“Mobile Networks and Computing,”." Journal of Combinatorial Optimization 5, no. 4 (December 2001): 497–98. http://dx.doi.org/10.1023/a:1011633010511.

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37

Shih, Timothy K. "Mobile agent evolution computing." Information Sciences 137, no. 1-4 (September 2001): 53–73. http://dx.doi.org/10.1016/s0020-0255(01)00109-8.

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38

Scholtz, Jean. "Ubiquitous computing goes mobile." ACM SIGMOBILE Mobile Computing and Communications Review 5, no. 3 (July 2001): 32–38. http://dx.doi.org/10.1145/584051.584054.

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39

Rößling, Guido, Henning Bär, Christoph Trompler, and Chin-Man Choi. "Mobile computing in education." ACM SIGCSE Bulletin 35, no. 3 (September 2003): 227. http://dx.doi.org/10.1145/961290.961583.

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40

Auffermann, William F., Alison L. Chetlen, Arjun Sharma, Andrew T. Colucci, Ivan M. DeQuesada, Joseph R. Grajo, Justin W. Kung, Thomas W. Loehfelm, and Steven J. Sherry. "Mobile Computing for Radiology." Academic Radiology 20, no. 12 (December 2013): 1495–505. http://dx.doi.org/10.1016/j.acra.2013.09.009.

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41

Francese, Rita, Michele Risi, Genoveffa Tortora, and Maurizio Tucci. "Visual Mobile Computing for Mobile End-Users." IEEE Transactions on Mobile Computing 15, no. 4 (April 1, 2016): 1033–46. http://dx.doi.org/10.1109/tmc.2015.2422295.

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42

Liu, Rui Xiang, Yu Hong Zhang, and Yan Tang. "A Mobile-Terminal-Oriented and Mobile-Cloud-Computing-Based Localized Scheduling Algorithm." Advanced Materials Research 989-994 (July 2014): 2111–14. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2111.

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Mobile Cloud Computing utilizes cloud computing in the mobile internet. It takes the advantage of portability of mobile devices, and uses cloud computing to make up mobile devices' shortcomings, i.e., the capabilities of computation and storage. With the advent of cloud computing, more and more IT companies establish their own cloud computing platforms by using Hadoop, which gradually makes Hadoop a distributed cloud computing platform. By considering important attributes of mobile devices, e.g., low computation workload, high concurrency, and high real-time demand, we propose in this paper a local scheduling algorithm which is based on Hadoop mobile cloud computing, and we analyze the influence of response time and throughput on the system utility.
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43

Kaur, Taranpreet. "An Experimental Examination of Mobile Cloud Computing and IOT: Application, Techniques and Issues." International Journal of Engineering and Advanced Technology 8, no. 6s (September 6, 2019): 1101–3. http://dx.doi.org/10.35940/ijeat.f1215.0886s19.

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A technology in which voice, video and data can transfer through a computer or any wireless device is known as mobile computing. There is no need to connect to a fix physical link in mobile computing. By using the cloud computing mobile computing the powerful mobile applications can build. The approach of mobile cloud computing allows the developers to design the applications especially for mobile users. And the applications are not bounded with the memory capacity, computing process and operating system of Smartphone. From a remote web server through mobile browser the mobile cloud computing centered simply accesses. On the recipient Smartphone it is not necessary to install the client application.
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44

Liu, Xiang Wen, and Li Min Liu. "A Mobile Computing SoC Design." Advanced Materials Research 605-607 (December 2012): 2049–52. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2049.

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System on a chip, SoC, is an advanced technology of embedded systems. Mobile computing may support modern life style. Combination of SoC and mobile computing will produce a new product. In this paper, SoC, mobile computing and mobile computing SoC design are discussed. The mobile SoC can be used all mobile control fields, such as rescue, smart houses and mobile payment.
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45

Goel, Shipra. "Grid Computing integrated with Mobile computing wireless devices." International Journal of Mobile Network Communications & Telematics 1, no. 2 (December 31, 2011): 39–48. http://dx.doi.org/10.5121/ijmnct.2011.1203.

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46

Gadhavi, Mahesh, and Chirag Patel. "Mobile Cloud Computing - Future of Next Generation Computing." International Journal of Information Sciences and Techniques 6, no. 1/2 (March 31, 2016): 231–35. http://dx.doi.org/10.5121/ijist.2016.6225.

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47

Liang, Hongbin, Tianyi Xing, Lin X. Cai, Dijiang Huang, Daiyuan Peng, and Yan Liu. "Adaptive Computing Resource Allocation for Mobile Cloud Computing." International Journal of Distributed Sensor Networks 9, no. 4 (January 2013): 181426. http://dx.doi.org/10.1155/2013/181426.

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48

Zen Munawar, S.T., S.Kom., M.Kom. "PERTIMBANGAN UMUM KEAMANAN PADA MOBILE COMPUTING." TEMATIK 2, no. 1 (June 30, 2015): 72–84. http://dx.doi.org/10.38204/tematik.v2i1.67.

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Abstrak : Kegunaan perangkat mobile telah meningkat sangat dalam beberapa tahun terakhir, pengguna memungkinkan untuk melakukan lebih banyak tugas di perangkat mobile. Mobile Computing adalah penggabungan elemen jaringan mobile dan computing. Aplikasi mobile dan teknologi komputasi saat ini telah berkembang sangat pesat yang menawarkan layanan yang optimal bagi pengguna mobile, juga menunjang mobilitas dan skalabilitas Makalah ini menyajikan ulasan mengenai latar belakang dan prinsip-prinsip mobile computing, mobile cloud computing, arsitektur dan tantangan bersama dengan solusi yang memungkinkan. Keamanan pengguna mobile computing, integritas data serta aplikasi menjadi salah satu isu yang perlu diperhatikan oleh penyedia jaringan mobile. Makalah ini juga membahas isu-isu keamanan yang berbeda yang muncul tentang seberapa aman lingkungan mobile computing. Daftar pertimbangan untuk keamanan diidentifikasi perlu dibahas, dipahami dan terakhir menilai risiko yang berkaitan.
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49

Peñalvo, Francisco José García, Akash Sharma, Anureet Chhabra, Sunil K. Singh, Sudhakar Kumar, Varsha Arya, and Akshat Gaurav. "Mobile Cloud Computing and Sustainable Development." International Journal of Cloud Applications and Computing 12, no. 1 (January 1, 2022): 1–20. http://dx.doi.org/10.4018/ijcac.312583.

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The number of smartphone users has increased from 3.6 billion in 2016 to 6.25 billion by 2021, which shows that mobile phone usage has increased dramatically over the past few years. This is due to the development of mobile computing applications like commerce, healthcare, e-learning, etc. The use of mobile devices has resulted in an exponential rise in the amount of data generated and as a result the amount of energy consumed has increased. This is where cloud computing plays a major role. Cloud computing has transformed traditional mobile computing. The new mobile cloud not only provides on-demand services but also data storage and increased energy efficiency. Through mobile computing based on cloud computing, mobile device functions can be virtualized, reducing power consumption. In this paper, the authors survey application and potential of mobile cloud computing and present the energy-efficient ways. Also, the paper discusses development opportunities of mobile cloud computing. The research also mentions some of the major challenges in current mobile computing technology.
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50

Bibi, Asma, Muhammad Faran Majeed, Sikandar Ali, Irshad Ahmed Abbasi, Ali Samad, and Samad Baseer. "Secured Optimized Resource Allocation in Mobile Edge Computing." Mobile Information Systems 2022 (August 21, 2022): 1–14. http://dx.doi.org/10.1155/2022/9952993.

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Mobile edge computing (MEC) uses multiple mobiles to compute several complex tasks that are unable to compute on a single device. Taking advantage of all abundant mobile resources and making a mobile cloud from them will be useful. This study aims to propose and implement a novel framework to cover challenges raised by application execution on resource-constrained devices. The purpose is to overcome the waste of resources in MEC and provide time efficiency to the data packets that are sent and received between offloaded and offloading devices. The main task of MEC is to offload tasks by first selecting resources and then allocating tasks to selected resources. A multiple linear regression algorithm is used for the selection of compatible devices. Particle swarm optimization techniques are used as a benchmark technique to design an algorithm for optimized resource allocation. Multiple mobile devices acted as a major component for making edge clouds. The study finds that response time of processing tasks is reduced, ineffectual resources become beneficial, increase in demand for mobile devices, and usage of mobile resources as a replacement for mobile edge cloud servers. Abundant resource usage of two or more edge clouds, that is, interedge resource usage is the originality of this research, while others are using intraedge resources only.
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