Method and apparatus for stress management in a searchable data service. The searchable data service may provide a searchable index to a backend data store, and an interface to build and query the searchable index, that enables client applications to search for and retrieve locators for stored entities in the backend data store. Embodiments of the searchable data service may implement a distributed stress management mechanism that may provide functionality including, but not limited to, the automated monitoring of critical resources, analysis of resource usage, and decisions on and performance of actions to keep resource usage within comfort zones. In one embodiment, in response to usage of a particular resource being detected as out of the comfort zone on a node, an action may be performed to transfer at least part of the resource usage for the local resource to another node that provides a similar resource.

A method for enabling pruning of a blockchain of a blockchain network includes creating an active blocks commitments Merkle tree from hashes of active blocks and creating an active smart contracts commitments Merkle tree from hashes of active smart contracts. The Merkle trees are created after an amount of blocks created in the blockchain has reached a threshold set by a pruning threshold parameter stored in the blockchain network. Hashes of the roots of the Merkle trees are stored in a header of a new block as a new genesis block. The new genesis block is broadcast to the blockchain network. A set of the active blocks and active smart contracts used respectively to create the active blocks commitments Merkle tree and the active smart contracts commitments Merkle tree are committed to upon the blockchain network reaching consensus on the new genesis block.

Computer systems and methods incorporate user annotations (metadata) regarding various pages or sites, including annotations by a querying user and by members of a trust network defined for the querying user into search and browsing of a corpus such as the World Wide Web. A trust network is defined for each user, and annotations by any member of a first user's trust network are made visible to the first user during search and/or browsing of the corpus. Users can also limit searches to content annotated by members of their trust networks or by members of a community selected by the user.

An image processing apparatus, an image processing method, a program, and a recording medium storing the program capable of extracting, from an input first image group, an image similar to an image extracted from a reference image group are provided. A first image group including a plurality of images of a user is transmitted to an order reception server. A second image group similar to the first image group is searched from a plurality of reference image groups stored in the order reception server. An image similar to an image previously extracted from the second image group is extracted from the first image group. An album is generated by arranging the image extracted from the first image group in a layout similar to a layout of an album generated from the second image group.

Systems and methods are described for processing of requests of a single page application in an application server. The method includes receiving a request from a component of a single page application from a user device, getting a page identifier (ID) from the request, getting a user ID from the request, and searching a cache lookup table for a cache entry associated with the page ID. When no cache entry for the page ID is found in the cache lookup table, a new cache entry is created in the cache lookup table for processing of the request, and the request is processed using the new cache entry to generate a response. When a cache entry for the page ID is found in the cache lookup table, the user ID from the request is compared to a user ID in the cache entry, and when the user IDs match, the request is processed using the found cache entry to generate the response; and the response is sent to the single page application on the user device.

Enhanced techniques and circuitry are presented herein for providing responses to questions from among digital documentation sources spanning various documentation formats, versions, and types. One example includes a method comprising receiving an indication of a question directed to subject having a documentation corpus, determining a set of passages of the documentation corpus related to the question, ranking the set of passages according to relevance to the question, forming semantic clusters comprising sentences extracted from ranked ones of the set of passages according to sentence similarity, and providing a response to the question based at least on a selected semantic cluster.

In accordance with an embodiment, described herein are systems and methods for auto-completion of ICS flow using artificial intelligence/machine learning. Next actions prediction is a service that assists users in modeling the flows quickly by predicting and suggesting the next set of actions a user might be thinking of adding. The service also assists the user to follow some of the best practices while creating an integration flow.

Systems and methods for querying a database are disclosed. A server computing device includes a processor and a memory storing instructions that, when executed by the processor, cause the server computing device to: receive a query input from a client device over a network connection; establish a non-blocking socket between the client computing device and the server computing device; generate a database query based on the query input; cause the database query to begin executing against one or more databases; perform a read request on the non-blocking socket; receive a code in response to the read request on the non-blocking socket; determine whether the network connection exists between the client device and the server device based on the received code; and cause the database query to be cancelled when the server determines that the network connection does not exist between the client device and the server device.

A data server may support segment identification based on a selected user profile. For example, a user may select a user profile as the basis for identifying a segment of additional user profiles. The server may identify attributes associated with the selected user identifier and generate an expression based on the identified subset. The expression may include a normalization function corresponding to at least one attribute. The normalization function may identify correlated attribute values for an attribute associated with the selected user profile. The data server may query a data storage system to identify the additional user profiles based on the expression. The data server may also support user defined Boolean expressions such that the expression is used to identify user identifiers associated with a first attribute and a second attribute.

A system to manage prize accumulation and distribution includes an interface to receive publication data from a publishing user. The publication data is to be published by the computer system. The interface further receives a prize contribution value, at the computer system and from the publishing user, in exchange for the presentation of an opportunity to win a cumulative prize. The opportunity to win the cumulative prize is to be presented by the computer system in conjunction with the publication of the publication data. A publication module is to electronically publish the publication data on behalf of the publishing user, and is to electronically present the opportunity to win the cumulative prize in conjunction with the publication of the publication data. A prize processing module is to calculate a value of the cumulative prize, based on a cumulative contribution of prize contribution values received from a plurality of publishing users.