A network device includes multiple ports, packet processing circuitry, a memory and a reserved-memory management circuit (RMMC). The ports are to communicate packets over a network. The packet processing circuitry is to process the packets using a plurality of queues. The memory is to store a shared buffer. The RMMC is to allocate segments of the shared buffer to the queues, including allocating reserve segments of the shared buffer to selected queues that meet a reserve-allocation criterion.

Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.

Systems and methods to manage and regulate the requests of multiple proxy clients are disclosed. In one aspect, the system and methods disclosed herein aids in configuring proxy server(s) with a rate-limit functionality. Configuration of the rate-limit functionality may be realized by, but not limited to, installing configuration file(s) and/or software application(s) on the proxy server(s). The configuration provides information about the list of restricted and unrestricted domains and their respective request limit specification in a given time frame. Therefore, each time before a proxy server forwards the clients' requests to a target domain, the proxy server checks and ensures that the request count to the particular target domain is well within the limit specified in the request limit specification. Thus, the embodiments described herein aid in preventing the IP addresses of proxy service providers from being blocked or denied from the target websites.

In a communications system which complies with LTE including a base station which transmits data by using an OFDM (Orthogonal Frequency Division Multiplexing) method as a downlink access method, and a mobile terminal, in a case in which an uplink scheduling request signal is transmitted by using an S-RACH when an Ack/Nack signal is being transmitted by using an Ack/Nack exclusive channel, the transmission of the Ack/Nack signal is stopped while the uplink scheduling request signal is transmitted.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

Systems and methods to support switching of virtual cores.

Implementations for estimating the likelihood of successful execution of a request to create a set of computing resources in a cloud computing environment are described. An example method may include receiving, by a processing device, a request to provision a set of computing resources of a cloud computing environment, translating the request into a set of hardware specifications, determining whether the set of hardware specifications is within a quota associated with an initiator of the request, determining whether the cloud computing environment has sufficient available computing resources matching the set of the hardware specifications, and notifying the initiator of the request of the availability of the computing resources specified by the request.

Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment. The event can be a threshold or a triggering event within or outside of the local environment.

A system for processing data, comprising a compute node having a first processor that is configured to receive a digital data message containing a request for computing services and to allocate processing resources on a network as a function of the request. A smart network interface controller (EIC) having a second processor that is configured to interface with the network and to send and receive data over the network associated with the computing services as a function of one or more policies. The smart NIC configured to receive policy update data and to implement the policy update data and to process the data that is sent and received over the network in accordance with the policy data.

Systems and methods to reserve resources is provided. In exemplary embodiments, a selection of a profile from a user is received. A dynamic graphical user interface is generated, using one or more processors. The dynamic graphical user interface allows the user to configure a topology based on the selected profile. The dynamic graphical user interface provides input fields in which the user may select a resource. An indication of the selected applicable topology property for configuring the topology is received. A topology is automatically generating based in part on the selected applicable topology property.