【转】8 Commonly Used Scalable System Design Patterns

27 12月
Ricky Ho in Scalable System Design Patterns has created a great list of scalability patterns along with very well done explanatory graphics. A summary of the patterns are:
  1. Load Balancer - a dispatcher determines which worker instance will handle a request based on different policies.
  2. Scatter and Gather - a dispatcher multicasts requests to all workers in a pool. Each worker will compute a local result and send it back to the dispatcher, who will consolidate them into a single response and then send back to the client.
  3. Result Cache - a dispatcher will first lookup if the request has been made before and try to find the previous result to return, in order to save the actual execution.
  4. Shared Space - all workers monitors information from the shared space and contributes partial knowledge back to the blackboard. The information is continuously enriched until a solution is reached.
  5. Pipe and Filter - all workers connected by pipes across which data flows.
  6. MapReduce -  targets batch jobs where disk I/O is the major bottleneck. It use a distributed file system so that disk I/O can be done in parallel.
  7. Bulk Synchronous Parallel - a  lock-step execution across all workers, coordinated by a master.
  8. Execution Orchestrator - an intelligent scheduler / orchestrator schedules ready-to-run tasks (based on a dependency graph) across a clusters of dumb workers.

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