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All Journal International Journal of Multidisciplinary Sciences and Arts BULLET : Jurnal Multidisiplin Ilmu
Md Emran Hossain
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Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing

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ENHANCING DATA PRIVACY AND SECURITY IN MULTI CLOUD ENVIRONMENTS Md Emran Hossain; Md Farhad Kabir; Abdullah Al Noman; Nipa Akter; Zakir Hossain
BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 05 (2022): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

In this study, we present and realize a solution for contributing to the provision of data security and data privacy in a hybrid configuration based Multi Cloud environment. This method combines prevention of independent cloud security attacks and server failures through a Byzantine fault tolerance protocol, a data encoding and decoding mechanism using the Dusky architecture to improve reliability and confidentiality; and Shamir's secret sharing scheme to guarantee data trustworthiness and privacy during storage at the cost of a minor performance implication. They compared the security and privacy of their hybrid approach with well-known protocols such as SAML with proxy encryption and Kerberos, showing the benefits in terms of memory footprint, encryption/decryption time and totaltimetoauthenticate. The experimental results show that our hybrid scheme provides considerable improvements with regard to encryption\\/decryption time, memory consumption and average precision.
Integrating AI with Edge Computing and Cloud Services for Real-Time Data Processing and Decision Making Md Emran Hossain; Md Tanvir Rahman Tarafder; Nisher Ahmed; Abdullah Al Noman; Md Imran Sarkar; Zakir Hossain
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 4 (2023): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2559

Abstract

Connecting Multimodal AI and Edge computing for better real-time decision making: a paper on their synergy Edge computing is a solution that allows to overcome latency issue and processing data closer to the source, Multimodal AI on the other hand integrates and analyzes different types of data (images, audio, sensor data, etc.) to provide richer insights. Such a combination has a strong significance in autonomous vehicles and healthcare monitoring applications which require timely decision making with informed decisions. However, there are some inherent limitations to edge devices in computational power, energy expense, and data confidentiality. The paper examines several optimization methods such as model pruning that reduces model size, quantization that decreases the limit of precision, and domain specific AI accelerators to increase the processing speed to counteract these difficulties. The purpose of these strategies is to get a complex AI model to deploy on an edge device with limited computing resources at the cost of minimum performance. Combining Multimodal AI with edge computing can potentially transform data driven real-time decision-making applications across various fields. As Development of hardware and software never stops, formulated boundaries continue to expand, enabling more intelligent and responsive systems.
Server less Architecture: Optimizing Application Scalability and Cost Efficiency in Cloud Computing Nisher Ahmed; Md Emran Hossain; S M Shadul Islam Rishad; Nur Nahar Rimi; Md Imran Sarkar
BULLET : Jurnal Multidisiplin Ilmu Vol. 1 No. 06 (2022): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Server less is recognized as one of the game changing technologies in cloud computing with large gains in scalability and cost to run applications. We explore the effect of Server less computing on these important facets in this paper. Server less platforms abstract away server management: Your applications can now scale automatically based on real-time fluctuations in demand which means no more manual provisioning and promise full resource utilization. However this is driven constantly, it indeed offers consistent high performance applications and in turn a very cost effective solution by eliminating idle time with the servers as well as operational overhead. Our objective is to trace the main attributes of Server less, namely event driven, statelessness, and micro services supported, and how these features provide scalability and cost optimization benefits. In addition, the paper explores the challenges and considerations of adopting Server less computing including vendor locking, security issues, and cold starts. This research presents detailed analyses of the pros and cons of the Server less architectures, bringing crucial insights into their ability to transform application scalability and cost savings when deployed in the cloud computing arena.
Co-Authors Abdullah Al Noman Md Farhad Kabir Md Imran Sarkar Md Tanvir Rahman Tarafder Nipa Akter Nisher Ahmed Nur Nahar Rimi S M Shadul Islam Rishad Zakir Hossain