Energy-aware DNS server allocating

Area of Science:

• Computer Science
• Network Engineering
• Energy Management

Background:

• The Domain Name System (DNS) faces scalability and reliability challenges, necessitating operation across geographically dispersed data centers.
• Effective energy management in these distributed data centers is crucial for minimizing revenue loss for DNS operators.
• Optimizing server allocation is key to balancing performance and energy consumption.

Purpose of the Study:

• To address the DNS server allocation problem by optimizing revenue loss, considering both delay and energy costs.
• To develop an analytical model that incorporates network delay, query processing delay, energy costs, and server selection strategies.
• To validate the proposed energy-aware allocation method and its associated iteration technique through simulations.

Main Methods:

• Development of an analytical model for DNS server allocation.
• Inclusion of network delay, query processing delay, and energy costs in the model.
• Analytical solution for static parameters and an iteration method for dynamic parameters.
• Simulation-based validation of the proposed approach.

Main Results:

• The proposed analytical model effectively considers key factors influencing DNS server allocation.
• The iteration method provides a feasible approach for dynamic parameter scenarios.
• Simulations demonstrate the effectiveness of the energy-aware DNS server allocation strategy.
• The method successfully balances delay and energy costs to optimize revenue.

Conclusions:

• Energy-aware DNS server allocation is critical for optimizing revenue in distributed data center environments.
• The proposed analytical model and iteration method offer a viable solution for dynamic DNS operations.
• This research contributes to more efficient and cost-effective DNS infrastructure management.