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*Benefits and Challenges
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• Performance
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• Scalability
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• Redundancy (for fault-tolerance)
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• How to ensure consistency among nodes of a distributed system?
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• Even if some aren’t reliable nor honest?
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• Trust without trust?
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• Requires a way to reach “consensus”
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*Example: Database Systems
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• For a centralized database system, one central entity handles all requests and data processing
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• Data updates simple and quick
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• Cheaper to manage and maintain
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• Performance bottleneck under high concurrent requests
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• Single point of failure
 
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Version du 26 mai 2022 à 21:37


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  • Centralized Systems
  1. Homogeneous
  2. Easier to design, operate, and maintain
  3. Single point of control & authority
  4. Multiple users share same set of resources
  5. Single point of failure (- Honest, - Malicious)
  • Distributed Systems
  1. A group of independent systems (nodes) working together for a purpose
  2. Connected & communicate to each other via a network
  3. Each operates concurrently
  4. Can continue correct operations even if some nodes fail

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  • Benefits and Challenges

• Performance • Scalability • Redundancy (for fault-tolerance) • How to ensure consistency among nodes of a distributed system? • Even if some aren’t reliable nor honest? • Trust without trust? • Requires a way to reach “consensus”

  • Example: Database Systems

• For a centralized database system, one central entity handles all requests and data processing • Data updates simple and quick • Cheaper to manage and maintain • Performance bottleneck under high concurrent requests • Single point of failure


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