This chapter introduces two novel frameworks, the Secure Resource Distribution Framework (SRDF) and Adaptive Multi-tier Traffic Distributor (AMultiTD) that solve important issues in multi-tenant cloud settings. By reducing colocation threats, SRDF dramatically improves security—a 40.63% decrease is achieved while retaining optimum resource utilization. AMultiTD reduces energy consumption by 25.89% without sacrificing security measures in order to strike a balance between security and energy savings. By means of in-depth simulations, both frameworks are thoroughly assessed while taking into account different operational characteristics. Comprehensive studies of theoretical underpinnings, performance indicators, and implementation methodologies are provided by the study. The results regularly show significant gains in energy saving, resource efficiency, and security enhancement over conventional methods. These frameworks provide cloud service providers useful tools to increase the security, effectiveness, and sustainability of their infrastructure. The approaches and results discussed here have a major impact on the development of cloud computing, opening the door for more reliable, effective, and ecologically friendly cloud services in an increasingly digitized society.

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Secure and Energy-Efficient Cloud Traffic Management Schemes

  • Sakshi Patni,
  • Deepika Saxena,
  • Ashutosh Kumar Singh

摘要

This chapter introduces two novel frameworks, the Secure Resource Distribution Framework (SRDF) and Adaptive Multi-tier Traffic Distributor (AMultiTD) that solve important issues in multi-tenant cloud settings. By reducing colocation threats, SRDF dramatically improves security—a 40.63% decrease is achieved while retaining optimum resource utilization. AMultiTD reduces energy consumption by 25.89% without sacrificing security measures in order to strike a balance between security and energy savings. By means of in-depth simulations, both frameworks are thoroughly assessed while taking into account different operational characteristics. Comprehensive studies of theoretical underpinnings, performance indicators, and implementation methodologies are provided by the study. The results regularly show significant gains in energy saving, resource efficiency, and security enhancement over conventional methods. These frameworks provide cloud service providers useful tools to increase the security, effectiveness, and sustainability of their infrastructure. The approaches and results discussed here have a major impact on the development of cloud computing, opening the door for more reliable, effective, and ecologically friendly cloud services in an increasingly digitized society.