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Kaur, Manpreet
- A Survey on Mobile Sensing Technology and its Platform
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Authors
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1 Department of Computer Science, Mata Gujri College, Fatehgarh Sahib, IN
2 Training & Placement Cell, Baba Banda Singh Bahadur Engg College, Fatehgarh Sahib, IN
1 Department of Computer Science, Mata Gujri College, Fatehgarh Sahib, IN
2 Training & Placement Cell, Baba Banda Singh Bahadur Engg College, Fatehgarh Sahib, IN
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International Journal of Advanced Networking and Applications, Vol 9, No 4 (2018), Pagination: 3523-3536Abstract
Now a days, mobile networks is increasingly becoming important part of everyday life due which there is a rapid evolution mobile phone. Mobile phone comes into a powerful sensing platform. There are many scientists which are engaged in the emerging field of mobile sensing from a variety of existing communities, such as, mobile systems, machine learning and human computer interaction. The research and development in this field is rapid resulting in indispensable carry-on of daily life. But with the increase in development, data integrity and security has also become an important factor to take into consideration. Importantly, today’s smart phones are programmable and come with a growing set of cheap powerful embedded sensors, which are enabling the emergence of personal, group, and community scale sensing applications. The mobile sensing platform provides many facilities like, it helps to communicate to Wireless sensor networks through a mobile sensor router Which attached to a users mobile phone. It helps in analysis of the sensed data which is derived from networks by cooperating with sensor middle- ware on a remote server to capture ones contexts. It also helps in providing context aware services for mobile users of cellular telephones. In this paper, we will discuss about different mobile sensing platforms that provides context-aware services for mobile users by accessing the surrounding wireless sensor networks. Along with this, we will briefly discuss some of the emerging sensing paradigms.Keywords
Mobile Sensing, Wireless Sensing, Mobile Sensing Platform, Applications, Challenges.References
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- Comparative Study on Load Balancing Techniques
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Authors
Affiliations
1 PG Department of Computer Science, Mata Gujri College, Fatehgarh Sahib, IN
2 Department of Computer Science and engineering, Shri Guru Granth Sahib World University, IN
1 PG Department of Computer Science, Mata Gujri College, Fatehgarh Sahib, IN
2 Department of Computer Science and engineering, Shri Guru Granth Sahib World University, IN
Source
International Journal of Advanced Networking and Applications, Vol 13, No 1 (2021), Pagination: 4855-4860Abstract
Cloud Computing is proving as an emerging research area in the arena of information technology (IT). The three main services offered by the cloud are IaaS, SaaS, and PaaS. Internet-based technology that emphasizes its use and follows a lead model. The most serious problem in computer computing balances the load across the network. This is how, the heavy load is evenly distributed over the network areas so that no single node is overcrowded. The main purpose of neutralizing the load is to make better use of resources that improve system efficiency and reduce resource utilization that reduces carbon emissions. The content of the paper emphasizes mainly the idea of several load balancing methods used in cloud computing. This paper contributes to the analysis of the problems of the existing loading algorithm and provides comparisons between these algorithms on the basis of various quality metrics such as reliability, performance, energy-saving feature, rating, and more.Keywords
Load Balancing, Green Computing, Static and Dynamic Load Balancing, Load Balancing Algorithms, Virtualization.References
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