MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, the output of each MapReduce task and job is materialized to ...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, many implementations of MapReduce materialize the entire outp...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
With the advance of applications such as multimedia, imagelspeech processing and real-time AI, real-time computing models allowing to express the “timeliness versus precision”...
The goal of this paper is to assess the value of simple features that are widely available in off-the-shelf CORBA and Java platforms for the implementation of faulttolerance mecha...
This paper proposes a solution based on forward error recovery, oriented towards providing dependability of composite Web services. While exploiting their possible support for fau...