A Unified Framework for Elective Scheduling and IP Allocation

Authors

  • Babi Pilli Department of Computer Science and Engineering SRM Institute of Science and Technology Tiruchirappalli, Tamilnadu, India
  • Mallikka Rajalingam Department of Computer Science and Engineering SRM Institute of Science and Technology Tiruchirappalli, Tamilnadu, India
  • Maria Siri Alamuri Department of Computer Science and Engineering SRM Institute of Science and Technology Tiruchirappalli, Tamilnadu, India

Keywords:

Dynamic allocation of IP addresses, Classless Inter-Domain Routing (CIDR), timetabling courses, Context-Free Grammars (CFG), Chomsky Normal Form (CNF), computer networks, resource

Abstract

Effective academic and digital resource management in universities has never been more essential than today in the age of rising digital infrastructures. Systematic schemes involving traditional systems of allotting elective courses and IP addressing suffer from inadequacies such as wastage of resources and conflict over scheduling. This article presents a network-integrated system for allotting elective courses employing dynamic IP allocation through Classless Inter-Domain Routing (CIDR) to handle digital resources of departments while also removing scheduling conflicts through Context-Free Grammars (CFGs) in Chomsky Normal Form (CNF). The system uses a frontend (ReactJS) for gathering faculty course preferences along with a backend (Node.js/Python) for both scheduling logic and IP allocation. The results confirm CIDR-based allocation minimizes IP wastage dramatically compared to static addressing schemes, and CFG-based verification ensures conflict-free scheduling of faculties. The system incorporates Computer Networks and Formal Language Automata ideas and provides a comprehensive framework for resource-optimized academic operations.

Author Biography

Babi Pilli, Department of Computer Science and Engineering SRM Institute of Science and Technology Tiruchirappalli, Tamilnadu, India

babipilli044@gmail.com                        

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Published

2026-02-19

How to Cite

Pilli, B., Rajalingam, M., & Alamuri, M. S. (2026). A Unified Framework for Elective Scheduling and IP Allocation. Semarak International Journal of Machine Learning, 9(1), 1–14. Retrieved from https://semarakilmu.my/index.php/sijml/article/view/985