Various embodiments of apparatus, systems (e.g., a gateway device) and/or methods are described for internet managing bandwidth and data usage. A category is assigned for each respective connected device in a stored list of the connected devices based on a function of each respective connected device. A priority list of the connected devices is created with regard to bandwidth use based on the category of the respective connected device. Bandwidth is provided to the connected devices based on the priority list. Also, a data reserve being less than a total recurring data cap is created. In response to determining a predefined data threshold has been met during a recurring period, non-critical functions of the connected devices are disabled for a remainder of the recurring period based on the priority list while allowing data communications with critical functions for the remainder of the recurring period.

Methods and systems for controlling process priority for one or more work units having one or more processes. The method includes monitoring a combination of a throughput value and a response time value for each work unit, detecting a change in load level for each work unit based on a correlation between the throughput value and the response time value to adjust a priority level associated with the work unit, and reallocating one or more resources to the work unit when the priority level exceeds a predetermined threshold value.

Measures, including methods, systems and computer-readable storage mediums, for use in configuring virtual machines on a host device including a plurality of processing cores. A first virtual machine is configured to run on a subset of cores of the plurality. The first virtual machine is of a first type. A second virtual machine is configured to run on any of the cores in the plurality. The second virtual machine is of a second, different type. The first virtual machine is configured to have a first priority which is higher than a second priority of the second virtual machine such that processing resources are available to the first virtual machine when required by the first virtual machine instead of being available to the second virtual machine.

Methods and systems of managing workloads and resources for tenants structured as a hierarchical tenant queue defining a resource distribution policy. The tenants are modified and the system responds with dynamic adjustments to the hierarchical tenant queue and workload distribution. A rule-based workload management engine defines rules for actions for the workload to respond to the dynamic update.

Concepts and technologies disclosed herein are directed to policy driven emergency traffic handling for machine-to-machine (“M2M”) device communication. According to one aspect of the concepts and technologies disclosed herein, an M2M application server can receive a plurality of emergency messages from a mobility management entity (“MME”) over a control plane interface. The plurality emergency message can be generated by a plurality of M2M devices in response to an emergency event. The M2M application server can filter, based upon a policy, the plurality of emergency messages to remove duplicate messages of the plurality of emergency messages in order to create a clean group of emergency messages. The M2M application server can forward the clean group of emergency messages to at least one public safety answering point (“PSAP”).

Embodiments of this application provide a resource preemption method, an apparatus, and a system, to reduce a quantity of times of frequent resource preemption, and improve resource security. In one example, a first terminal device obtains a first time interval and a second time interval, and preempts or determines not to preempt a first resource according to a first preset rule. The first resource is a resource reserved by a second terminal device or a resource reserved for a first service to be transmitted by the first terminal device. The first time interval is a time interval related to the first resource. The second time interval is used to indicate a preemption forbidden time. The first preset rule is determined based on the first time interval and the second time interval.

Communication network architectures, systems and methods for supporting a network of mobile nodes. As a non-limiting example, various aspects of this disclosure provide communication network architectures, systems, and methods for supporting a dynamically configurable communication network comprising a complex array of both static and moving communication nodes (e.g., the Internet of moving things). More specifically, systems and methods for managing the scheduling and prioritizing of data in a network of moving things.

Control and management of bandwidth at networks remote from the physical bandwidth management infrastructure. Particular implementations allow network equipment at a plurality of data centers, for example, to manage network traffic at remote branch office networks without deployment of network devices at the remote branch office networks.

The present disclosure relates to dynamically scheduling resource requests in a distributed system based on usage quotas. One example method includes identifying usage information for a distributed system including atoms, each atom representing a distinct item used by users of the distributed system; determining that a usage quota associated with the distributed system has been exceeded based on the usage information, the usage quota representing an upper limit for a particular type of usage of the distributed system; receiving a first request for a particular atom requiring invocation of the particular type of usage represented by the usage quota; determining that a second request for a different type of usage of the particular atom is waiting to be processed; and processing the second request for the particular atom before processing the first request.

This disclosure presents computational systems and methods that allocate cost of resources of a cluster of server computers used by virtual machines in a virtual data center. In one aspect, a fair unit rate is computed based on the larger of a measured average utilization or an expected utilization of a cluster resource of server computers within a physical data center by virtual machines. The fair unit rate is a cost per unit of resource used over a period of time and is used to compute an allocated cost of the virtual machine usage of the cluster resource.