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Decentralized Distributed Processing

Decentralized Distributed Processing. Michael Tao. Abstract. Increasing efficiency Power of independent processing limited Distributed Processing By decentralizing, anyone can join the network to aid others. Background.

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Decentralized Distributed Processing

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  1. Decentralized Distributed Processing Michael Tao

  2. Abstract • Increasing efficiency • Power of independent processing limited • Distributed Processing • By decentralizing, anyone can join the network to aid others

  3. Background • Projects with large magnitude of data to analyze such as Seti already use applications such as Boinc • Currently there is no way for 3rd parties to join this network without publicizing itself and having each node manually add the project to the list

  4. Purpose • Communicate and inject jobs to peers in queues • Increasing efficiency of data analysis with the aid of multiple computers which aren't necessarily available

  5. Architecture • Local listener for new tasks waits to release work to the network to accomplish some task • Nodes on the network which receive the new work will initialize clients, with variable number of clients at any one time

  6. Developments • Computer chatting / file transfers • Computer load deciding • Modular analysis tool

  7. Results • Chatting between two computers • Individual clients can now do tasks given to them passed from the main upon initialization

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