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Mobile Cloud Computing: Issues, Applications and Scope in COVID-19

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• First Online: 27 March 2022
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• Hariket Sukesh Kumar Sheth   ORCID: orcid.org/0000-0001-5283-7716 15 &
• Amit Kumar Tyagi   ORCID: orcid.org/0000-0003-2657-8700 16  

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 418))

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• International Conference on Intelligent Systems Design and Applications

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As the world is transitioning into a tech-savvy era, the twenty-first century is evidence of many technological advancements in the field of AI, IoT, ML, etc. Mobile Cloud computing (MCC) is one such emerging technology, providing services regardless of the time and place, contours the limitations of mobile devices to process bulk data, providing multi-platform support and dynamic provisioning. Not only there is an enhancement in computation speed, energy efficiency, execution, integration, but also incorporates considerate issues in terms of client-to-cloud and cloud-to-client authentication, privacy, trust, and security. Reviewing and overcoming addressed concerns is essential to provide reliable yet efficient service in nearing future. Mobile Cloud Computing has the potential to bring wonders in the fields such as education, medical science, biometry, forensics, and automobiles, which could counter the challenges faced in the ongoing COVID-19 Pandemic. To combat the prevailing challenges due to COVID-19, it has become critical that more efficient and specialized technologies like Mobile Cloud Computing are accepted that enable appropriate reach and delivery of vital services by involving gamification, cloud rendering, and collaborative practices. This paper provides a detailed study about MCC, mitigated security and deployment attacks, issues, applications of MCC, providing developers and practitioners opportunities for future enhancements.

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Acknowledgement

We thank our college, Vellore Institute of Technology, Chennai for their constant support, encouragement and support. The authors have properly acknowledged and cited the scholars whose articles or content were consulted for this manuscript. The authors extend their gratitude to authors/editors/publishers of all those articles, journals and books. All the diagrams/figures/illustrations used and added in the paper are made using Open-Source software, ensuring no copyright issues.

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Sheth, H.S.K., Tyagi, A.K. (2022). Mobile Cloud Computing: Issues, Applications and Scope in COVID-19. In: Abraham, A., Gandhi, N., Hanne, T., Hong, TP., Nogueira Rios, T., Ding, W. (eds) Intelligent Systems Design and Applications. ISDA 2021. Lecture Notes in Networks and Systems, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-96308-8_55

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• DOI: 10.1007/s11227-024-06395-0
• Corpus ID: 271774713

Multiple heterogeneous cluster-head-based secure data collection in mobile crowdsensing environment

• R. Sahoo , S. Pradhan , +1 author S. Udgata
• Published in Journal of Supercomputing 7 August 2024
• Computer Science, Engineering, Environmental Science

5 References

Arabertopic: a neural topic modeling approach for news extraction from arabic facebook pages using pre-trained bert transformer model, security analysis of mobile crowd sensing applications, sensecrypt: a security framework for mobile crowd sensing applications, privacy protection in mobile crowd sensing: a survey, mobile crowd sensing and computing, related papers.

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The role of 6g technologies in advancing smart city applications: opportunities and challenges.

1. Introduction

• Literature Survey and Review Process
• Step-1: Literature Retrieval
• Step-2: Literature Filtering
• Step-3: Classification
• Through this article, we have extensively covered in detail the potential 6G technologies in terms of requirements, architecture, visions, and usage, which are anticipated to be integrated in futuristic 6G-enabled smart cities.
• Secondly, we have discussed prominent smart city applications with underlying 6G technologies. This includes smart waste management, smart healthcare, smart grids, and more.
• Thirdly, potential challenges are also highlighted along with discussion on each technology and application. Also, at the end of this survey paper, challenges and suggestions for possible future research directions are also highlighted for the 6G-enabled smart city paradigm.
• Research Objectives
• Structure of Paper

2. Potential 6G Enabling Technologies

2.1. role of ai in 6g and smart city arena, 2.1.1. applications, 2.1.2. challenges, 2.2. role of integrated sensing and communication (isac) in smart city concept, 2.2.1. applications, 2.2.2. challenges, 2.3. iot for smart cities with 6g, 2.3.1. characteristics of 6g-iot, 2.3.2. classification of iot, 2.4. blockchain (bc) and 6g-enabled smart cities, 2.5. terahertz (thz) communication, 2.5.1. applications/use cases, 2.5.2. challenges, 2.6. quantum communication (qc), 2.6.1. applications, 2.6.2. challenges, 2.7. immersive communication (ic), 2.7.1. types of immersive communication, 2.7.2. use cases for immersive communication, 2.8. visible light communication (vlc), 2.8.1. free-space optics (fso), 2.8.2. fiber-wireless system (fiwi), 2.8.3. power over fiber (pof), 2.8.4. challenges, 2.9. mobile edge computing (mec), applications, 2.10. reconfigurable intelligent surfaces (riss), 2.11. non-terrestrial networks (ntns), 2.11.1. airborne base stations (abs), uavs, and drones uses in a 6g smart city, applications/benefits, 2.11.2. satellite communication, 3. applications of 6g in smart cities, 3.1. industrial automation and smart manufacturing, 3.2. vehicle-to-everything (v2x) technology in smart cities, use cases of v2x, 3.3. smart healthcare, 3.4. smart grid, 3.5. smart waste management, 4. conclusions, open challenges and possible future research, conflicts of interest.

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Sharma, S.; Popli, R.; Singh, S.; Chhabra, G.; Saini, G.S.; Singh, M.; Sandhu, A.; Sharma, A.; Kumar, R. The Role of 6G Technologies in Advancing Smart City Applications: Opportunities and Challenges. Sustainability 2024 , 16 , 7039. https://doi.org/10.3390/su16167039

Sharma S, Popli R, Singh S, Chhabra G, Saini GS, Singh M, Sandhu A, Sharma A, Kumar R. The Role of 6G Technologies in Advancing Smart City Applications: Opportunities and Challenges. Sustainability . 2024; 16(16):7039. https://doi.org/10.3390/su16167039

Sharma, Sanjeev, Renu Popli, Sajjan Singh, Gunjan Chhabra, Gurpreet Singh Saini, Maninder Singh, Archana Sandhu, Ashutosh Sharma, and Rajeev Kumar. 2024. "The Role of 6G Technologies in Advancing Smart City Applications: Opportunities and Challenges" Sustainability 16, no. 16: 7039. https://doi.org/10.3390/su16167039

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IBM, NUS to set up new AI research and innovation centre

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Green computing and artificial intelligence safety will be among the focus areas of a new AI research and innovation centre, which is expected to be set up at the NUS School of Computing by 2025.

The proposed centre, a collaboration between IBM and NUS, aims to accelerate scientific research here by tapping the American tech giant’s full-stack AI infrastructure.

Minister for Digital Development and Information Josephine Teo announced the new centre at the IBM Think 2024 event held at the Sands Expo and Convention Centre on Aug 15.

Mrs Teo described IBM as a longstanding partner of the Republic in the area of AI, with many of the firm’s efforts serving the public good.

This will mark the first time IBM’s full-stack AI infrastructure system – the entire spectrum of software and technology required to build, test and deploy an application – is installed on a university campus in the Asia-Pacific region.

The AI-optimised computing infrastructure will operate on watsonx, a data and AI platform developed by IBM, as well as the company’s Red Hat hybrid cloud platform.

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Government agencies and companies, as well as academic and research institutions, will be able to take advantage of the new centre to conduct cutting-edge AI research that can benefit people, NUS and IBM said in a statement.

“The proposed collaboration would leverage NUS’ expertise to drive technological progress in AI, enabling more powerful, efficient and versatile AI systems that can tackle increasingly complex tasks,” they said.

The centre will take a sustainability-focused open innovation approach to developing AI technologies – incorporating ideas from both external and internal sources – which has greater potential to improve the quality and pace of adoption of new AI technologies, NUS and IBM added.

They hope to work together to develop tools and methodologies to help build trust in AI.

“IBM and NUS share a common goal to enable innovations in AI and sustainable computing, and we look forward to furthering this collaboration,” said IBM Research hybrid cloud and AI platform vice-president Priya Nagpurkar.

Professor Liu Bin, NUS’ deputy president for research and technology, said the university was “very excited” about the opportunity to collaborate with IBM. 

“Building on the new NUS AI Research Institute announced earlier this year and the university’s commitment to green computing and sustainability, we aim to be the leading force in addressing rising industry demand for AI intelligence, cultivating a robust talent pool and contributing to Singapore’s decarbonisation efforts,” she said.

As part of efforts to grow local deep-tech start-ups, the collaboration will also allow the NUS Graduate Research Innovation Programme (Grip), together with local start-ups as well as small and medium-sized enterprises, to access technologies such as IBM’s watsonx platform and Red Hat OpenShift AI.

Grip is an initiative to help launch start-ups stemming from university research.

IBM and NUS did not say how much money was being invested in the new centre. 

It is separate from the NUS AI Institute, launched in March, which conducts research on addressing ethical concerns associated with AI as well as the technology’s application across areas such as education and healthcare.

IBM was one of the university’s collaborators in the NUS AI Institute.

NUS said that while the two initiatives are separate, it expects “a lot of synergy” in the research efforts of the NUS AI Institute and the new centre.

Mrs Teo, who is also Minister-in-charge of Smart Nation and Cybersecurity, described the project as an example of how Singapore’s AI ecosystem is “steadily building up”.

The Government appreciates the potential for AI to serve the public good, she added.

She pointed to Readliao, an AI-enabled tool developed by Open Government Products – an independent division of the Government Technology Agency –  which provides the elderly with simplified summaries of letters from the authorities, so they can better understand them.

“We will continue to bring together industry, government and academia for meaningful partnerships that we can all benefit from,” she said.

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