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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Dynamic Cost-Aware Routing of Web Requests.

Gandhimathi Velusamy1, Ricardo Lent2

  • 1Computer Science, University of Houston, Houston, TX 77204, USA.

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Summary
This summary is machine-generated.

This study introduces a cost-aware method for routing web requests to reduce energy expenses for network operators. The approach uses a learning automaton for efficient, per-request decisions, lowering costs with minimal performance impact.

Keywords:
QoSautonomous systemsdatacenterenergylearning automataweb

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Area of Science:

  • Computer Science
  • Network Engineering
  • Energy Management

Background:

  • Next-generation networks face increasing demand for ubiquitous services and massive traffic from applications like the Internet of Things.
  • Redundant, geographically distributed servers are essential for reliable web services, but lead to significant energy costs for operators.
  • Optimizing server deployment and request routing is crucial for managing operational expenses.

Purpose of the Study:

  • To propose a novel, cost-aware method for routing web requests across distributed servers.
  • To leverage spatial and temporal variations in electricity prices and network topology for cost optimization.
  • To reduce energy consumption and operational costs for web service providers.

Main Methods:

  • Development of a cost-aware routing method utilizing a learning automaton.
  • Implementation of per-request decision-making for efficient computation.
  • Simulation and testbed measurements to evaluate the proposed method against standard algorithms.

Main Results:

  • Demonstrated significant cost reductions in web request routing.
  • Achieved these cost savings with minimal impact on overall performance.
  • Validated the effectiveness of the learning automaton approach for dynamic routing decisions.

Conclusions:

  • The proposed cost-aware routing method effectively reduces energy costs for web services.
  • Learning automaton-based routing offers a computationally efficient alternative to global optimization.
  • This approach is vital for sustainable and cost-effective operation of large-scale web infrastructures.