Patent ID: 9146830
Filing Date: 2015-09-29
Classification: G06F

Abstract:
1. A method, executed by one or more processors, for providing an entirely hosted MapReduce data analytic infrastructure for executing a distributed large-scale compute job, the method comprising: providing complete portability with respect to a programmer's local machine, operating system, and browser; continuously metering consumed compute, storage, and network resources on a hosting system; continuously reporting cost metering to a user; for each compute instance of the distributed large-scale compute job, generating input data from a kernel program, wherein the kernel program is smaller than the generated input data; and data-sorting at least a portion of the output data of the distributed large-scale compute job during a Map phase, wherein the data-sorting comprises, wherein the hosted infrastructure does not require an installed client software or software development kit and wherein the hosted infrastructure does not require the compilation of computer code.