Abstract: The systems, apparatus, methods, and computer program products described herein allow a user to find published content that may be about the user on a social network by analyzing the user's profile information and social contact information to generate terms, face recognition data, contacts and other data, searching the contacts based on the generated terms, face recognition data, and other data and identifying content that may be about the user.

Abstract: Software that maximizes resource usage efficiency for dynamically delivered content by performing the following steps: requesting, by one or more processors on a client computer, HTML data from a server computer, the HTML data pertaining to a first webpage; receiving, by one or more processors on the client computer, the requested HTML data pertaining to the first webpage, the HTML data identifying a plurality of first webpage components associated with the first webpage; determining, by one or more processors, to combine requests for at least two of the plurality of first webpage components into a first bundled component request, where the determining is based, at least in part, on the received HTML data and a set of client computer characteristics pertaining to the client computer; and sending, by one or more processors on the client computer, the first bundled component request to the server computer over an asynchronous data connection.

Abstract: The systems, apparatus, methods, and computer program products described herein allow a user to find published content that may be about the user on a social network by analyzing the user's profile information and social contact information to generate terms, face recognition data, contacts and other data, searching the contacts based on the generated terms, face recognition data, and other data and identifying content that may be about the user.

Abstract: Software that maximizes resource usage efficiency for dynamically delivered content by performing the following steps: requesting, by one or more processors on a client computer, HTML data from a server computer, the HTML data pertaining to a first webpage; receiving, by one or more processors on the client computer, the requested HTML data pertaining to the first webpage, the HTML data identifying a plurality of first webpage components associated with the first webpage; determining, by one or more processors, to combine requests for at least two of the plurality of first webpage components into a first bundled component request, where the determining is based, at least in part, on the received HTML data and a set of client computer characteristics pertaining to the client computer; and sending, by one or more processors on the client computer, the first bundled component request to the server computer over an asynchronous data connection.

Abstract: A method for enabling logout from websites includes creating at least one meta-data tag for a web page, where said at least one meta-data tag comprises a logout universal resource locator for the web page; reading the at least one meta-data tag for each web application that a user is logged into; recording the logout universal resource locator in a database; and displaying a name of each web application and the corresponding logout universal resource locator in a graphical user interface.

Abstract: An automated technique for generating supplier recommendations may include: (1) receiving a set of supplier entity data indicating information about present transaction capabilities of a supplier entity; (2) storing the supplier entity data; (3) verifying the supplier entity data to generate a supplier entity data validation result; (4) updating the supplier entity data as verified supplier entity data based on the supplier entity data validation result; (5) receiving one or more items of supplier entity feedback data indicating information about previous transactions engaged in by the supplier entity with a buyer entity; (6) storing the supplier entity feedback data; (7) receiving a set of buyer entity criteria data indicating information about present transaction requirements of a buyer entity; and (8) generating a buyer entity recommendation based on consideration of the supplier entity data, the supplier entity data validation result, the supplier entity feedback information, and the buyer entity criteria

Abstract: An automated technique for generating supplier recommendations may include: (1) receiving a set of supplier entity data indicating information about present transaction capabilities of a supplier entity; (2) storing the supplier entity data; (3) verifying the supplier entity data to generate a supplier entity data validation result; (4) updating the supplier entity data as verified supplier entity data based on the supplier entity data validation result; (5) receiving one or more items of supplier entity feedback data indicating information about previous transactions engaged in by the supplier entity with a buyer entity; (6) storing the supplier entity feedback data; (7) receiving a set of buyer entity criteria data indicating information about present transaction requirements of a buyer entity; and (8) generating a buyer entity recommendation based on consideration of the supplier entity data, the supplier entity data validation result, the supplier entity feedback information, and the buyer entity criteria

Abstract: A method for enabling logout from websites includes creating at least one meta-data tag for a web page, where said at least one meta-data tag comprises a logout universal resource locator for the web page; reading the at least one meta-data tag for each web application that a user is logged into; recording the logout universal resource locator in a database; and displaying a name of each web application and the corresponding logout universal resource locator in a graphical user interface.

Abstract: A decision support system called Mounties that is designed for managing applications and resources using rule-based constraints in scalable mission-critical clustering environments. Mounties consists of four active service components: (1) a repository of resource proxy objects for modeling and manipulating the cluster configuration; (2) an event notification mechanism for monitoring and controlling interdependent and distributed resources; (3) a rule evaluation and decision processing mechanism; and (4) a global optimization service for providing decision making capabilities. The focus of this paper is on the design of the first three services that together connect and coordinate the distributed resources with the decision making component.

Abstract: A decision support system called Mounties that is designed for managing applications and resources using rule-based constraints in scalable mission-critical clustering environments. Mounties consists of four active service components: (1) a repository of resource proxy objects for modeling and manipulating the cluster configuration; (2) an event notification mechanism for monitoring and controlling interdependent and distributed resources; (3) a rule evaluation and decision processing mechanism; and (4) a global optimization service for providing decision making capabilities. The focus of this paper is on the design of the first three services that together connect and coordinate the distributed resources with the decision making component.

Abstract: An embodiment of the invention provides a method of managing a cluster of networked resources and resource groups using rule-based constraints. This method includes the step of building a globally optimal cluster configuration of the resources in accordance with the rule-based constraints and a current state of the resources, including identifying for each of the resources and resource groups an availability and quality of service, which are determined by dependencies among the resources and resource groups, resource equivalency, constraints on the resources and network policies. The method comprises the further steps of bringing the cluster of resources on-line in a systematic manner, given the current state of each of the resources and resource groups; and with the cluster of networked resources on-line, determining dynamic dependencies of and configuration infomration about the cluster of resources (i) statically at defined times and (ii) dynamically during cluster operation.