A resource allocation calculation device includes: a demand prediction unit that for each of a plurality of virtual networks sharing a physical network, predicts demands in units of communications sharing common origin and destination nodes; and an allocation calculation unit that based on the demands predicted by the demand prediction unit, observed past demands in the units of communications and past allocated bandwidths in the units of communications, calculates allocated bandwidths and allocated routes at a current time for the respective units of communications in such a manner that fairness between utilities of the respective virtual networks is maximized, which enhances fairness and efficiency of allocation of resources to a plurality of virtual networks sharing resources of a physical network.

Systems and methods to support switching of virtual cores.

Computing resources are managed in a computing environment comprising a computing service provider and an edge computing network. The edge computing network comprises computing and storage devices configured to extend computing resources of the computing service provider to remote users of the computing service provider. The edge computing network collects capacity and usage data for computing and network resources at the edge computing network. The capacity and usage data is sent to the computing service provider. Based on the capacity and usage data, the computing service provider, using a cost function, determines a distribution of workloads pertaining to a processing pipeline that has been partitioned into the workloads. The workloads can be executed at the computing service provider or the edge computing network.

The present invention provides a method of controlling a first quality of service, QoS, parameter setting for a first connection between a first user equipment, UE, device and a first entity in a cellular communication system, the method comprising assigning the first QoS parameter setting for the first connection and adjusting the first QoS parameter setting for the first connection in response to a measurement of a QoS parameter for a second connection.

In a resource-pooling system, predictions can be made as to when and how resources may be needed by particular processes in the system. Requests can be made preemptively to client systems to pre-allocate resources such that resources are ready to use when needed. Client systems can submit constraints on how particular resources may be used by the system. In order to efficiently evaluate these constraints, the system may be organized into a hierarchy of groups, subsystems, and processes, and the constraints may be formulated to match this hierarchy. When resources need to be allocated, constraints may be evaluated using an algorithm that traverses levels of the hierarchy to quickly identify pre-allocations that are available for a particular process based on its location in the system hierarchy.

Some embodiments provide a novel method of performing health monitoring for resources associated with a global server load balancing (GSLB) system. This system is implemented by several domain name system (DNS) servers that perform DNS services for resources located at several geographically separate sites. The method identifies several different groupings of the resources. It then assigns the health monitoring of the different resource groups to different DNS servers. The method then configures each particular DNS server (1) to send health monitoring messages to the particular group of resources assigned to the particular DNS server, (2) to generate data by analyzing responses to the sent health monitoring messages, and (3) to distribute the generated data to the other DNS servers. The method in some embodiments is performed by a set of one or more controllers.

A method is performed by a control device, and the method includes: obtaining a first request and a second request, where the first request includes a bandwidth required by a first service, the second request includes a bandwidth required by a second service; determining the bandwidth required by the first service, and the bandwidth required by the second service, that a bandwidth occupation conflict exists between the first request and the second request; obtaining a plurality of comprehensive allocation modes for the first service and the second service based on the bandwidth provided by the port, the bandwidth required by the first service, and the bandwidth required by the second service; and determining a preferred comprehensive allocation mode from the plurality of comprehensive allocation modes based on a bandwidth allocation policy group including a plurality of bandwidth allocation policies.

A method, apparatus, and system for efficiently re-partitioning data using scheduled network communication are provided. Given re-partitioning data defining the data blocks to be sent amongst a plurality of server nodes, a corresponding network schedule is determined to send the data blocks in a coordinated manner. The network schedule is divided into time slots, wherein each of the plurality of server nodes can send up to one data block and receive up to one data block in each time slot. By using a greedy selection algorithm that prioritizes by largest senders and largest receivers, a near optimal schedule can be determined even in the presence of heavy skew. The greedy selection algorithm can be implemented with a O(T*N^2) time complexity, enabling scaling to large multi-node clusters with many server nodes. The network schedule is of particular interest for database execution plans requiring re-partitioning on operators with different keys.

Methods, apparatus, systems and articles of manufacture to provide a custom installable open virtualization application file for on-premise installation via the cloud are disclosed. Example instructions cause one or more processors to determine a sizing factor based on a response from a user device; determine customized resource information for an agent in a private cloud network using an inventory count algorithm based on the sizing factor; modify an open virtualization appliance (OVA) file to include the customized resource information, the OVA file being deployed in a public cloud network; and transmit an indication to a location of the modified OVA file to the user device, the location of the modified OVA file being the same location as the OVA file.

According to a first aspect of the present invention there is provided a method of implementing policy management in an IP Multimedia Subsystem, IMS, for users that are part of an organization or enterprise. The method comprises the steps of separating the users into a plurality of groups, each group being defined by a Group Document that is managed by an XML Document Management Server; for one or more of the groups, including one or more policies in the Group Document of the group; for each of the groups, including in the Group Document identities of groups to which the group is related; and when determining one or more policies that are to be applied to a user, taking account of any policies included in the Group Document of the user's group and any policies included in the Group Document of any related groups.