Abstract: A system and method for data storage. The method can include: identifying, by a computer processor, a cluster map representing a set of storage resources; for each storage resource of the set of storage resources: traversing, by the computer processor, the cluster map to map the storage resource to a candidate resource set including at least one other storage resource of the set of storage resources; identifying a first data object associated with a storage request; identifying a first candidate resource set based on the first data object; and selecting a first final resource set based at least on the first candidate resource set, where the first data object is sent to storage resources of the first final resource set for storage.

Abstract: Auxiliary content provided in addition to search results is selected and presented to aid the user in completing tasks and increasing user interaction performance. Auxiliary content is processed utilizing existing search engine categorization and identification mechanisms, thereby facilitating the determination of similarities between the auxiliary content and indexed content that is identified as being responsive to a search query. At least some of the search results identified as being responsive to the search query are compared to auxiliary content to identify similarities, including visual similarities. Similar auxiliary content are selected to aid the user in completing tasks, and such selected auxiliary content is provided with the search results, including in a visually distinct or separated manner.

Abstract: A system and method for data storage. The method can include: identifying, by a computer processor, a cluster map representing a set of storage resources; for each storage resource of the set of storage resources: traversing, by the computer processor, the cluster map to map the storage resource to a candidate resource set including at least one other storage resource of the set of storage resources; identifying a first data object associated with a storage request; identifying a first candidate resource set based on the first data object; and selecting a first final resource set based at least on the first candidate resource set, where the first data object is sent to storage resources of the first final resource set for storage.

Abstract: One or more techniques and/or systems are provided for providing personalized audio shows and/or video shows. For example, content corresponding to an interest of a user may be identified (e.g., a videogame article, a home renovation blog, etc.). One or more actor templates within a natural language template set may be applied to portions of the content to create audio snippets. For example, text-to-speech synthesis functionality may use a first actor template to convert the videogame article into a videogame snippet and may use a second actor template to convert the home renovation blog into a home renovation snippet. The videogame snippet and the home renovation snippet may be used to generate an audio show (e.g., a dialogue between a first actor persona, defined within the first actor template, reading the videogame snippet and a second actor persona, defined within the second actor template, reading the home renovation snippet).

Abstract: A system and method for data storage. The method can include: identifying, by a computer processor, a cluster map representing a set of storage resources; for each storage resource of the set of storage resources: traversing, by the computer processor, the cluster map to map the storage resource to a candidate resource set including at least one other storage resource of the set of storage resources; identifying a first data object associated with a storage request; identifying a first candidate resource set based on the first data object; and selecting a first final resource set based at least on the first candidate resource set, where the first data object is sent to storage resources of the first final resource set for storage.