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Optimal Data Placement and Replication Approach for SIoT with Edge

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Computer Systems Science & Engineering 2022年第5期41卷 661-676页

作者： B.prabhu shankar S.Chitra Department of Information Technology Er Perumal Manimekalai College of EngineeringHosur635117TamilnaduIndia Department of Computer Science and Engineering Er Perumal Manimekalai College of EngineeringHosur63117TamilnaduIndia

Social networks(SNs)are sources with extreme number of users around the world who are all sharing data like images,audio,and video to their friends using IoT *** concept is the so-called Social Internet of Things(SIot).The evolving nature of edge-cloud computing has enabled storage of a large volume of data from various sources,and this task demands an efficient storage *** this kind of large volume of data storage,the usage of data replication using edge with geo-distributed cloud service area is suited to fulfill the user’s expectations with low *** major issue is the way to store the data and replicate these large data items optimally and allocate the request from the data center *** efficient storage of these data,we use edge server,which is part of the cloud server,in this ***,the data are distributed and stored with quick access,which will reduce the latency with *** proposed data placement approach learns with machine learning(ML)algorithm called radial basis kernel function assisted with support vector machine(RBF-SVM)to classify the data center for storing the user and friend’s data from the SIoT *** learning algorithms will be used to predict the workload of the data stored in the data center as either edge or cloud depending on the existing time *** data placement with dynamic nature is also optimized using the proposed dynamic graph partitioning(GP)method to meet the individual user’s demand of low latency with minimum *** way will keep the SIoT data placement efficient and effective over ***,this proposed data placement and replication approach introduces three kinds of innovations compared with the existing data placement approach.(i)Rather than storing the user data in a single cloud,this study uses the edge server closest to the SIoT devices for faster access with reduced response time.(ii)The classification algorithm called RBF-SVM is used to find storage for

关键词： Data placement data replication social network social internet of things edge computing cloud computing graph partitioning support vector machine machine learning radial basis function latency storage cost

Asymmetric Somatic Plant Hybridization: Status and Applications

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American Journal of Plant Sciences 2013年第8期4卷 1-10页

作者： Lakshmanan prabhu shankar Eeckhaut Tom Deryckere Dieter Van Bockstaele Erik Van Huylenbroeck Johan Institute for Agricultural and Fisheries Research (ILVO) Plant Sciences Unit Applied Genetics and Breeding Melle Belgium

To create asymmetric somatic hybrids, the genome of the so-called donor protoplast is fragmented prior to protoplast fusion. As a result, only a limited amount of the donor genome is transferred to the fusion product. This technique can circumvent some commonly observed problems related to symmetric fusion and offers a practical breeding tool for asexual hybridization. Genomes are typically fragmented by irradiation, microprotoplast production or application of metabolic inhibitors such as iodoacetamide. Irradiation and microprotoplast production fragment the nuclear genome, whereas iodoacetamide inactivates the cytoplasmic genome. It can therefore be used to introduce cytoplasmic male sterility, an important practical application. For hybrid verification and genome characterization, molecular markers and cytogenetic techniques are applied. This review highlights and discusses progress made during the last decade in spermatophytes asymmetric protoplast fusion.

关键词： Asymmetric Somatic Fusion Genome Fragmentation Protoplast

THE DOLVI-BASED CSP PLANT OF ISPAT INDUSTRIES LTD., INDIA: DEVELOPMENTS,STATE -OF-THE-ART AND PRODUCTION TARGETS

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THE DOLVI-BASED CSP PLANT OF ISPAT INDUSTRIES LTD., INDIA: D...

中国金属学会2003中国钢铁年会

作者： Fritz-Peter Pleschiutschnigg Vilas Vishnu Jamnis Sukhdev Raj Talwar Atul Kumar misra Ratna prasad V.Atluri Prem shankar Vijay V.Kanetkar United Steel Center Ltd. Dubai and Ispat Industries Ltd. Dolvi India United Steel Center Ltd. Dubai and Ispat Industries Ltd. Dolvi India United Steel Center Ltd. Dubai and Ispat Industries Ltd. Dolvi India United Steel Center Ltd. Dubai and Ispat Industries Ltd. Dolvi India United Steel Center Ltd. Dubai and Ispat Industries Ltd. Dolvi India United Steel Center Ltd. Dubai and Ispat Industries Ltd. Dolvi India

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cnki会议

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印度Ispat CSP工厂生产优质热轧卷

钢铁 2004年第Z1期39卷 393-400页

作者： Fritz-Peter Pleschiutschnigg Vilas Vishnu Jamnis Sukhdev Raj Talwar Atul Kumar misra Ratna Prasad V. Atluri R. B. Singh Prem shankar Rajendra K. Verma Rajesh K. Goyal Vidiya P. Mishra Bidyapati Deepu B. Peter Meierling Joseph Pleschiutschnig United Steel Center Operations SIP&HSM Operations Steel Melt Shop Operations Caster Operations Process Quality Rolling Mill Operations 　　　　 Ispat Industries Ltd Ispat Industries Ltd

　　1998年,印度Ispat公司开始投产CSP生产线(图1).这个生产线原计划年产300万t热轧卷,年产210万t高炉提供铁水.Midren装置年产160万吨海绵铁.……

关键词：印度工厂生产热轧卷生产线海绵铁装置投产铁水高炉