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Overview
IT resources have been securely stored into a centralized zone of web. IT resources have been sharable to users of any geographically different locations in a distributed manner concurrently through web-services. Performance of web-services has been successfully done within a heterogeneous scalable computer network. Flexibility and scalability have been increased due to incorporation of the accessibility of multi-user mode. Multiple users of Adaptive Teacher Categorization and Recommendation System have been allowed to access the similar interface designed by researchers. All network related set up has been done in server-side network (Gamaleldin, 2013; Kumar & Goudar, 2012; Nazir, 2012; Dillon et al., 2010).
Now-a-days, any online transaction processing should be performed through sharable database. Data collection has been partitioned in horizontal and vertical manners, and a distributed workload has been represented across the nodes in load balanced cluster (Chen et al., 2015). Amount of data should be distributed over network-based database management system due to maintenance a cost-effective approach and rapid enhancement of network technology. Replication technique over the network has helped to control the data loss of distributed database (Gelogo & Lee, 2012; Kundu et al., 2014; Ratawa et al., 2017; Kundu et al., 2012).
Major and Minor Objectives
Major objective of this research work is to build up a web based multi-user system for performing categorization of teachers, and further recommend best possible solution to select a teacher for a particular subject based on performance analysis.
Minor objectives are to exhibit linear time and space complexities for proposed system.
Scope
Scope of the system is teachers’ categorization and recommendation of an academic organization using teacher performance information. Adaptive approach is typically a one way communication, and is applicable in other applications such as hospital management system, office management system and so on. Performance of proposed system is shown using efficient algorithms having linear complexities.
Motivation
Teachers’ categorization and recommendation system has been utilized to categorize teachers depending on teachers’ performance and to allocate suitable subjects for each particular teacher of an academic organization. Analysis of categorization and recommendation procedures should be performed without human interference. Web based approach has been incorporated to access the proposed system from each position of planet.
Organization
Rest of the paper is organized as follows: In literature review section, past researches and challenges have been discussed. In cellular automata preliminaries section, cellular automata related preliminary discussion have been discussed; In background section earlier work has been elaborated along with required figures; Overview of proposed system has been presented along with proposed algorithms in overall description of proposed system section; Design framework of proposed modules such as student attendance module, teacher categorization module, and teacher recommendation module have been elaborated exhibiting all the required figures of activities and database oriented connections along with proposed algorithms; In theoretical discussion section, theorem have been established along with theoretical discussions. In hypothetical analysis section, theoretical analysis of proposed system has been presented along with all required figures; In proficiency analysis section, comparative analysis between existing systems and proposed system has been depicted. In cellular automata mapping with proposed system, necessity of cellular automata at proposed system has been described along with required figure; In experimental results section, experimental analysis has been shown to establish real time performance of faculty members of an institution.