Robin Systems, Inc. Patent applications |
Patent application number | Title | Published |
20150074683 | File-System Requests Supported in User Space for Enhanced Efficiency - Systems and methods are disclosed for interacting with a file system. The file system is operable to reside in user space of a computing system. A module, also within user space, may provide a messaging service supporting requests from an application to the file system. By bypassing a System-Call Interface (SCI) of the computing system's kernel space, the module may support requests from the application to the file system with enhanced efficiency and/or customizable features not provided by the SCI. In some examples, the module may include a library in an independent layer within user space and below the application, allowing the library to provide an application-independent messaging service for different applications. Furthermore, in some examples, the module may include a segment of memory, within user space, shared between the application and the file system for passing data involved in requests and/or responses to and/or from the file system. | 03-12-2015 |
20150074672 | ASYNCHRONOUS SCHEDULING INFORMED BY JOB CHARACTERISTICS AND ANTICIPATORY PROVISIONING OF DATA FOR REAL-TIME, PARALLEL PROCESSING - Systems and methods are disclosed for scheduling jobs processed in a distributed fashion to realize unharnessed efficiencies latent in the characteristics of the jobs and distributed processing technologies. A job store may be communicatively coupled to a job analyzer. The job analyzer may be operable to read information characterizing a job to identify multiple data blocks to be processed during the job at multiple locations in a cluster of nodes. A scheduling module may use information about the multiple data blocks, their storage locations, their status with respect to being provisioned to processing logic, data blocks to be processed by other jobs, data blocks in cache that have been pre-fetched for a prior job, quality-of-services parameters, and/or job characteristics, such as job size, to schedule the job in relation to other jobs. | 03-12-2015 |
20150074671 | ANTICIPATORY WARM-UP OF CLUSTER RESOURCES FOR JOBS PROCESSED ON MULTIPLE CLUSTER NODES - Systems and methods are disclosed for reducing latency in processing data sets in a distributed fashion. A job-queue operable for queuing data-processing jobs run on multiple nodes in a cluster may be communicatively coupled to a job analyzer. The job analyzer may be operable to read the data-processing jobs and extract information characterizing those jobs in ways that facilitate identification of resources in the cluster serviceable to run the data-processing jobs and/or data to be processed during the running of those jobs. The job analyzer may also be coupled to a resource warmer operable to warm-up a portion of the cluster to be used to run a particular data-processing job prior to the running of the job. In some embodiments, mappers and/or reducers may be extracted from the jobs and converted into compute node identifiers and/or data units identifying blocks for processing, informing the warm-up operations of the resource warmer. | 03-12-2015 |
20150071072 | Traffic Flow Classification - Systems and methods are disclosed for classifying traffic flows. A traffic agent operable to collect classification information for one or more traffic flows may be deployed at an end host communicatively coupled to a data-center network. The traffic agent, deployed in a user space independent of the operating system, may compare the classification information for a given traffic flow to a metric value. Where the classification information achieves a certain threshold indicated by the metric value, the traffic agent may classify the traffic flow as an elephant flow. In some examples, a library may be included with the traffic agent that may include a modified send function. The modified send function may provide classification information to the traffic agent indexed to the traffic flow for which it is called so that the traffic agent may analyze the classification information to potentially provide a classification for the traffic flow. | 03-12-2015 |