Research Article

, 15 Aug 2025 | 10.62346/ijcn_q1_v11_no1_23_02

Year : 2023 | Volume: 11 | Issue: 1 | Pages : 1-12

A Comparative Study of Cloud Network Resource Reallocation Using Lattice Theory and Lambda-Based Interaction Simulations

Lakshmi Kalpana K ¹ *, Shailendra Kumar

1, Department of Computer Science and Engineering, Kasireddy Narayanreddy College of Engineering and Research, Hyderabad, India., IN

Cloud computing environments face increasing challenges in optimal resource allocation and reallocation strategies due to dynamic workload patterns and heterogeneous resource demands. This study presents a novel comparative analysis of cloud network resource reallocation mechanisms using lattice theory principles and lambda-based interaction simulations. We propose a hybrid framework that combines lattice-theoretic ordering structures with lambda calculus-inspired interaction models to optimize resource distribution across distributed cloud networks. Our approach introduces the Lattice-Lambda Resource Allocation Model (L²RAM) that leverages partial ordering relationships in lattice structures to represent resource hierarchies while employing lambda functions to model dynamic resource interactions and dependencies. Through extensive simulations involving 500 virtual machines across three cloud providers (AWS, Azure, Google Cloud), we demonstrate that our hybrid approach achieves 23.7% improvement in resource utilization efficiency, 31.2% reduction in allocation latency, and 18.9% decrease in energy consumption compared to traditional greedy allocation algorithms. The lattice-based ordering provides theoretical guarantees for optimal resource placement, while lambda-based simulations enable real-time adaptation to changing workload patterns. Our experimental results show significant improvements in quality of service metrics, including 94.3% availability and reduced response times. The proposed framework addresses critical challenges in multi-tenant cloud environments, offering scalable solutions for enterprise-grade resource management. This research contributes to the advancement of intelligent cloud resource orchestration by bridging theoretical mathematical foundations with practical implementation strategies.

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Keywords: Cloud Computing, Resource Allocation, Lattice Theory, Lambda Calculus, Network Optimization, Distributed Systems

Citation: Lakshmi Kalpana K *, Lakshmi Kalpana K ( 2023), A Comparative Study of Cloud Network Resource Reallocation Using Lattice Theory and Lambda-Based Interaction Simulations. , 11(1): 1-12

Received: 15/12/2022; Accepted: 21/01/2023;
Published: 15/08/2025

Edited by:

Mr.ERES JOURNALS

Reviewed by:

*Correspondence: Lakshmi Kalpana K , srekalpana@gmail.com

Excellant Research in Engineeringand Science Publications

Research Article

A Comparative Study of Cloud Network Resource Reallocation Using Lattice Theory and Lambda-Based Interaction Simulations

References

Excellant Research in Engineering
and Science Publications