Abstract: Methods and computing devices for allocating test pods to a distributed computing system for executing a test plan on a device-under-test (DUT). Each test pod may include a test microservice including one or more test steps and an event microservice specifying function relations between the test microservice and other test microservices. The test pods are allocated to different servers to perform a distributed execution of the test plan on the DUT through one or more test interfaces.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing an electrical grid by controlling devices connected to the electrical grid. In one aspect, a method comprises: autonomously determining whether a control strategy update criterion is satisfied, and in response to determining that the control strategy update criterion is satisfied: identifying: (i) a plurality of devices connected to the electrical grid, and (ii) one or more objectives to be satisfied by the plurality of devices; generating, for the plurality of devices and for a plurality of controls, simulated data that simulates operation of the plurality of devices based on application of the plurality of controls; and identifying, by an optimization procedure and based on at least the simulated data, a respective control to be applied to each of the plurality of devices to satisfy the objectives.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a load adjustment simulation and a capacity forecast.

Abstract: Methods and computing devices for allocating test pods to a distributed computing system for executing a test plan on a device-under-test (DUT). Each test pod may include a test microservice including one or more test steps and an event microservice specifying function relations between the test microservice and other test microservices. The test pods are allocated to different servers to perform a distributed execution of the test plan on the DUT through one or more test interfaces.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing an electrical grid by controlling devices connected to the electrical grid. In one aspect, a method comprises: autonomously determining whether a control strategy update criterion is satisfied, and in response to determining that the control strategy update criterion is satisfied: identifying: (i) a plurality of devices connected to the electrical grid, and (ii) one or more objectives to be satisfied by the plurality of devices; generating, for the plurality of devices and for a plurality of controls, simulated data that simulates operation of the plurality of devices based on application of the plurality of controls; and identifying, by an optimization procedure and based on at least the simulated data, a respective control to be applied to each of the plurality of devices to satisfy the objectives.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a load adjustment simulation and a capacity forecast.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a load forecast by predicting load measurements at future time points, wherein a load measurement at a time point characterizes a cumulative measure of energy consumption by a population of energy consuming devices at the time point.

Abstract: Systems and methods for assembly of metagenomic sequences are described herein. In one embodiment, a plurality of metagenomic sequences is represented in three dimensional space to obtain a plurality of sequence vectors. Based on plurality of the sequence vectors, a cuboid having a plurality of grids is defined in the three dimensional space such that it encompasses the plurality of metagenomic sequences. Further, the plurality of metagenomic sequences is assembled into one or more contigs based on traversal of the plurality of grids. In one implementation, the one or more contigs are assembled such that a contig includes metagenomic sequences probably originating from the same genome.

Abstract: Method(s) and system(s) for identifying horizontally transferred genes are described herein. The method includes defining a cuboid in a three dimensional space, wherein the cuboid includes fragment points corresponding to the genomic fragments belonging to a plurality of sequenced microbial genomes, and dividing the cuboid into a plurality of grids. The method further includes selecting one or more grids corresponding to a selected genome and classifying each of the selected grids as one of majority, minority, and mixed grids, based on number of fragment points corresponding to the selected genome in each of the selected grids. Further, at least one genomic fragment from the minority and the mixed grids is identified as the horizontally transferred gene based on a distance ratio assessment.

Abstract: Systems and methods for assembly of metagenomic sequences are described herein. In one embodiment, a plurality of metagenomic sequences is represented in three dimensional space to obtain a plurality of sequence vectors. Based on plurality of the sequence vectors, a cuboid having a plurality of grids is defined in the three dimensional space such that it encompasses the plurality of metagenomic sequences. Further, the plurality of metagenomic sequences is assembled into one or more contigs based on traversal of the plurality of grids. In one implementation, the one or more contigs are assembled such that a contig includes metagenomic sequences probably originating from the same genome.

Abstract: Method(s) and system(s) for identifying horizontally transferred genes are described herein. The method includes defining a cuboid in a three dimensional space, wherein the cuboid includes fragment points corresponding to the genomic fragments belonging to a plurality of sequenced microbial genomes, and dividing the cuboid into a plurality of grids. The method further includes selecting one or more grids corresponding to a selected genome and classifying each of the selected grids as one of majority, minority, and mixed grids, based on number of fragment points corresponding to the selected genome in each of the selected grids. Further, at least one genomic fragment from the minority and the mixed grids is identified as the horizontally transferred gene based on a distance ratio assessment.