H04L12/917

Elastic resource pooling for dynamic throughput rebalancing

A method for utilizing elastic resource pooling techniques to dynamically rebalance throughput includes determining, for each of multiple tenants leasing computing resources of a shared resource pool, a desired claim to resources in the shared resource pool. The desired claim is based on a number of resource access requests received in association with each of the multiple tenants. The method further includes determining, for each of the multiple tenants, a guaranteed claim and a maximum potential claim on the shared resource pool; and allocating a surplus resource pool among the multiple tenants based on the determined maximum potential claim and the desired claim for each one of the multiple tenants, the surplus resource pool representing a remainder of the shared resource pool after the guaranteed claim for each of the tenants is satisfied via an initial resource allocation from the shared resource pool.

Model-driven technique for virtual network function rehoming for service chains

A system that determines whether a trigger has occurred within a cloud infrastructure. The system, in response to determining that a trigger has occurred, extracts characteristics from one or more virtual network functions (VNFs) of a service chain. The system, in response to extracting characteristics from the one or more VNFs, determines rehoming actions for each of the one or more VNFs. The system, in response to determining rehoming actions, predicts a rehoming delay or a chain downtime for each of the rehoming actions for each of the one or more VNFs. The system determines an optimal rehoming action from the rehoming actions for at least one of the one or more VNFs using the rehoming delay or the chain downtime for each rehoming action of the rehoming actions. The system performs the optimal rehoming action for the at least one of one or more VNFs.

MODIFYING RESOURCE ALLOCATION OR POLICY RESPONSIVE TO CONTROL INFORMATION FROM A VIRTUAL NETWORK FUNCTION
20210392043 · 2021-12-16 ·

In some examples, a system monitors a network that includes a collection of interconnected virtual network functions (VNFs), the monitoring comprising receiving control information from a VNF of the VNFs, the control information specifying an action to take to address an issue detected by the VNF. Responsive to the monitoring, the system modifies an allocation of resources to the VNF.

Communication control device, communication control method, and communication system

A communication control device of a communication system collects information of a first control device in a second control device via a relay device on a network. Allocation of network resources of the network is controlled based on a procedure of processing the collected information.

Managing asynchronous operations in cloud computing environments

A processor may execute an asynchronous operation of the program code, hibernate a process related to the asynchronous operation, and free-up related cloud runtime platform excluding the related system memory. Additionally, the processor may execute the asynchronous operation during the hibernation of the process, intercept an initiated completion function to the process after a completion of the asynchronous operation, inject at least one of additional program code and data into the completion function, un-hibernating the process and reallocate freed-up cloud runtime platform related resources of the process, and execute the completion function returning result data of the asynchronous operation and the at least one of additional program code and data to the process.

Real-time cloud container communications routing

A method for real-time cloud container communications routing is provided. The method monitors network traffic to a first network resource located within a first region. Based on monitoring the network traffic, the method determines a second region associated with at least a portion of the network traffic. The method generates a resource backup of the first network reference. The resource backup represents a current state of the first network resource. The method transfers the resource backup to a second network resource associated with the second region and redirects at least a portion of the network traffic to the second network resource.

SYSTEM AND METHOD FOR THROTTLING SERVICE REQUESTS HAVING NON-UNIFORM WORKLOADS

A system that provides services to clients may receive and service requests, various ones of which may require different amounts of work. The system may determine whether it is operating in an overloaded or underloaded state based on a current work throughput rate, a target work throughput rate, a maximum request rate, or an actual request rate, and may dynamically adjust the maximum request rate in response. For example, if the maximum request rate is being exceeded, the maximum request rate may be raised or lowered, dependent on the current work throughput rate. If the target or committed work throughput rate is being exceeded, but the maximum request rate is not being exceeded, a lower maximum request rate may be proposed. Adjustments to the maximum request rate may be made using multiple incremental adjustments. Service request tokens may be added to a leaky token bucket at the maximum request rate.

Autonomic resource partitions for adaptive networks

System and methods for autonomous resource partitioning in a network include a resource controller configured to provision resources which are any of virtual resources and physical resources in one or more layers in the network and monitor availability of the resources in the network; a resource manager configured to determine the any of virtual resources and physical resources as required for Quality of Service (QoS) in the network; a resource broker configured to advertise and assign resource requests to corresponding resources; and a partition manager configured to track the utilization of the resources provided by the one or more layers and to adjust resource usage of the resources in negotiation with the resource broker to minimize a cost of implementation.

Decision based resource allocation in response systems

A first user communication request by a first user is detected. The first user communication request is directed to a computer response system. In response to detecting the first user communication request a profile associated with the first user is determined. A first set of computing resources of the computer response system is allocated to a first automated respondent. The allocation is based on the determined profile. A communication between the first user and the first automated responded is assigned based on the determined profile.

Inter-rat coverage determination for energy saving management
11140625 · 2021-10-05 · ·

Embodiments of systems and techniques are described for determining inter-radio access technology (inter-RAT) coverage for energy saving management (ESM). In some embodiments, a network management (NM) apparatus may determine that a source cell of a network of a first RAT is triggered to activate an energy saving state and that the source cell is partially overlapped by each of a plurality of cells of one or more networks of one or more RATs different from the first RAT. The NM apparatus may instruct the source cell to activate the energy saving state when a combination of the plurality of cells provides coverage of the source cell. Other embodiments may be described and claimed.