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Area of Science:

  • Computer Science
  • Distributed Systems
  • Network Engineering

Background:

  • Gossip protocols offer decentralized and fault-tolerant communication.
  • Traditional simulation tools face scalability and flexibility limitations for complex networks.
  • Cloud-native computing provides scalable, flexible, and observable environments.

Purpose of the Study:

  • To explore the implementation and performance of gossip protocols within cloud-native frameworks.
  • To assess the feasibility of using cloud-native environments for simulating complex network protocols.
  • To evaluate the behavior of gossip protocols in distributed cloud-native systems.

Main Methods:

  • Network modeling and simulation analysis.
  • Testing gossip protocols within a cloud-native computing context.
  • Utilizing cloud-native frameworks for simulation across varied network environments.

Main Results:

  • Gossip protocols demonstrate effective performance and feasibility in cloud-native settings.
  • Cloud-native environments enhance the scalability, reliability, and observability of gossip protocol simulations.
  • Simulation analysis provides insights into protocol behavior in distributed systems.

Conclusions:

  • Gossip protocols are well-suited for cloud-native architectures.
  • Cloud-native frameworks offer a powerful platform for simulating and analyzing distributed protocols.
  • Findings are applicable to both cloud-native and conventional network infrastructures.