Abstract: The present disclosure describes a distributed, advertisement-based, solution for scheduling virtual resources in cloud infrastructures such as the OpenStack. The scheduling algorithm distributes the scheduling requirements and host state feasibility checks to the individual hosts in the datacenter, which can periodically send a summarized advertisement to the scheduler controller listing the number of instances of different type(s) of virtual resources that a particular host can support. The scheduler controller, thus no longer has to compute and maintain individual host states, and the scheduling problem is reduced to selecting the feasible advertisements that satisfy a given request. The solution can be extended to a scenario of multiple scheduler controllers using the same distributed, advertisement-based, approach.

Abstract: The present disclosure describes a distributed, advertisement-based, solution for scheduling virtual resources in cloud infrastructures such as the OpenStack. The scheduling algorithm distributes the scheduling requirements and host state feasibility checks to the individual hosts in the datacenter, which can periodically send a summarized advertisement to the scheduler controller listing the number of instances of different type(s) of virtual resources that a particular host can support. The scheduler controller, thus no longer has to compute and maintain individual host states, and the scheduling problem is reduced to selecting the feasible advertisements that satisfy a given request. The solution can be extended to a scenario of multiple scheduler controllers using the same distributed, advertisement-based, approach.

Abstract: The present disclosure describes a distributed, advertisement-based, solution for scheduling virtual resources in cloud infrastructures such as the OpenStack. The scheduling algorithm distributes the scheduling requirements and host state feasibility checks to the individual hosts in the datacenter, which can periodically send a summarized advertisement to the scheduler controller listing the number of instances of different type(s) of virtual resources that a particular host can support. The scheduler controller, thus no longer has to compute and maintain individual host states, and the scheduling problem is reduced to selecting the feasible advertisements that satisfy a given request. The solution can be extended to a scenario of multiple scheduler controllers using the same distributed, advertisement-based, approach.

Abstract: The present disclosure describes a distributed, advertisement-based, solution for scheduling virtual resources in cloud infrastructures such as the OpenStack. The scheduling algorithm distributes the scheduling requirements and host state feasibility checks to the individual hosts in the datacenter, which can periodically send a summarized advertisement to the scheduler controller listing the number of instances of different type(s) of virtual resources that a particular host can support. The scheduler controller, thus no longer has to compute and maintain individual host states, and the scheduling problem is reduced to selecting the feasible advertisements that satisfy a given request. The solution can be extended to a scenario of multiple scheduler controllers using the same distributed, advertisement-based, approach.

Abstract: Among other disclosure, computer-implemented methods and computer program products for obtaining data from a page. A method can include initiating a harvesting process for a page available in a computer system. The method can include identifying a feed representation that has been created for the page. The method can include retrieving and storing, as part of the harvesting process, at least a portion from the page based on information in the identified feed representation. The feed representation can include at least excerpts of content from the page. The feed representation can include at least one representation selected from: an RSS feed, an Atom feed, an XML feed, an RDF feed, a serialized data feed representation, and combinations thereof.

Abstract: Among other disclosure, computer-implemented methods and computer program products for obtaining data from a page. A method can include initiating a harvesting process for a page available in a computer system. The method can include identifying a feed representation that has been created for the page. The method can include retrieving and storing, as part of the harvesting process, at least a portion from the page based on information in the identified feed representation. The feed representation can include at least excerpts of content from the page. The feed representation can include at least one representation selected from: an RSS feed, an Atom feed, an XML feed, an RDF feed, a serialized data feed representation, and combinations thereof.

Abstract: Among other disclosure, computer-implemented methods and computer program products for obtaining data from a page. A method can include initiating a harvesting process for a page available in a computer system. The method can include identifying a feed representation that has been created for the page. The method can include retrieving and storing, as part of the harvesting process, at least a portion from the page based on information in the identified feed representation. The feed representation can include at least excerpts of content from the page. The feed representation can include at least one representation selected from: an RSS feed, an Atom feed, an XML feed, an RDF feed, a serialized data feed representation, and combinations thereof.