BONIC
- Public Resource Computing Platform
- Gives scientists the ability to use large amounts of computation resources.
- The clients do not connect directly with each other but instead they talk to a central server located at Berkley
- The goals of Bonic are:
- 1) reduce the barriers of entry
- 2) Share resources among autonomous projects
- 3) Support diverse applications
- 4) Reward participants.
A BONIC application can be identified by a single master URL,
which serves as the homepage as well as the directory of the servers.
SETI@Home
- Uses public resource computing to analyze radio signals to find extraterrestrial intelligence
- Need good quality telescope to search for radio signals, and lots of computational power, which was unavailable locally
- It has not yet found extraterrestrial intelligence, but its has established credibility of public resource computing projects which are given by the public
- Uses BONIC as a backbone for the project
- Uses relational database to store information on a large scale, further it uses a multi-threaded server to distribute work to clients
MapReduce
- A programming model presented by Google to do large scale parallel computations
- Uses the
Map() and Reduce() functions from functional style programming languages
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- Takes a function and applies it to all elements of the given data set
- Accumulates results from the data set using a given function
Naiad
- A programming model similar to
MapReduce but with streaming capabilities so that data results are almost instantaneous
- A distributed system for executing data parallel cyclic dataflow programs offering high throughput and low latency