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Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
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Related Experiment Video

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Design and Analysis of Optimization Algorithms to Minimize Cryptographic Processing in BGP Security Protocols.

Vinay K Sriram1, Doug Montgomery2

  • 1Stanford University, Stanford, CA, USA.

Computer Communications
|August 22, 2017
PubMed
Summary
This summary is machine-generated.

Optimizing Border Gateway Protocol (BGP) security extensions (BGPSEC) is crucial for Internet routing security. The Best Path Only (BPO) algorithm significantly speeds up BGPSEC update validation, enhancing network convergence.

Keywords:
BGPSECBorder Gateway Protocol securityRouting securityperformance optimizationroute processor efficiency

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Area of Science:

  • Computer Science
  • Network Security
  • Internet Protocols

Background:

  • Internet routing protocols like BGP are vulnerable to attacks.
  • Cryptographically protecting reachability announcements enhances network security.
  • BGPSEC is a proposed protocol for securing BGP updates.

Purpose of the Study:

  • Evaluate performance and efficiency of BGPSEC update validation algorithms.
  • Analyze optimization techniques for digitally signed BGP updates.
  • Investigate cache management schemes for BGPSEC.

Main Methods:

  • Analyzed three BGPSEC algorithms: Unoptimized, Cache Common Segments (CCS), and Best Path Only (BPO).
  • Developed and studied cache management schemes for CCS and BPO.
  • Used analytical modeling and trace-driven simulation for performance evaluation.

Main Results:

  • The BPO algorithm demonstrated significant speed improvements over the unoptimized algorithm.
  • BPO achieved 330% to 628% faster routing table convergence.
  • Evaluated signature verification workload and routing convergence time.

Conclusions:

  • BPO optimization offers substantial performance gains for BGPSEC.
  • Optimized BGPSEC processing is vital for secure and efficient Internet routing.
  • Further research into cache management can enhance BGPSEC efficiency.