Abstract: A system can monitor data usage, including an amount of searchable data used and/or a rate at which the searchable data is manipulated, on a storage allocation in a networked environment. The storage allocation can have a quantity/number of partitions, including at least one partition, configured to store the searchable data. The system can detect that the data usage is beyond a specified threshold and then based at least in part on factors such as network traffic. CPU usage, and/or data usage, the system can modify the storage allocation to increase or decrease a size of the partition and/or the quantity of partitions. Network traffic for the storage allocation can be directed away from the portion of the storage allocation being modified. When modifying the storage allocation is complete, the network traffic can be directed to the modified portion of the storage allocation.

Abstract: An entity using a computing device can upload searchable data to a network service to be indexed and stored. The data can include a plurality of data fields, each data field having one or more associated values. The network service can analyze the data fields and their respectively associated values to determine data field types for the data fields and search options to be enabled for the data fields. Based at least in part on the data field types and the search options, the network service can generate a search index configuration/schema. Based at least in part on the generated search index configuration/schema, the network service can generate a search index for the data. In some embodiments, the network service can also convert the data into a format compatible with the search index.

Abstract: A method, system and computer program product for encoding an image is provided. The image that needs to be represented is represented in the form of a Gaussian pyramid which is a scale-space representation of the image and includes several pyramid images. The feature points in the pyramid images are identified and a specified number of feature points are selected. The orientations of the selected feature points are obtained by using a set of orientation calculating algorithms. A patch is extracted around the feature point in the pyramid images based on the orientations of the feature point and the sampling factor of the pyramid image. The boundary patches in the pyramid images are extracted by padding the pyramid images with extra pixels. The feature vectors of the extracted patches are defined. These feature vectors are normalized so that the components in the feature vectors are less than a threshold.