A method and system are provided for customizing integration flow templates. The method can include can include monitoring user interaction with a plurality of systems external to an integration system to read data changes at the external systems and identifying at least one event pair, wherein each event pair is between two external systems having a same data change event in the two external systems. The identified event pairs are filtered for inclusion in an events chain and the external systems of the filtered event pairs are ordered in the events chain based on timestamps of the data change events. The method outputs integration flow templates based on the ordered external systems of the event pairs that define a flow trigger and at least one flow node.

A method for facilitating operations in storage facilities. A server receives a service request for performing a first operation in the storage facility. The server identifies a first storage unit based on the service request. The server identifies an operation zone of the first storage unit for performing the first operation. The server determines an ergonomic score for each operator for performing the first operation based on characteristics of the operation zone and the fatigue level of the corresponding operator. The server allocates the first storage unit to a first operator for performing the first operation, based on the determined ergonomic scores, thereby ensuring an increased throughput of the storage facility.

A device configured to receive a resource reservation request that identifies a user and a resource. The device is further configured to generate a resource allocation that includes an association between the user, location information for the resource, a resource identifier for the resource, and a token value. The device is further configured to associate the resource allocation with a time interval indicating a deadline for using the resource allocation. The device is further configured to receive a reservation verification request from a network device. The device is further configured to determine the location information for the network device is within a predetermined distance from the location information for the resource, to determine the resource identifier matches the resource identifier for the resource, and to determine a current time is within the time interval. The device is further configured to generate resource allocation instructions authorizing access to the resource.

Device Assisted Services (DAS) for protecting network capacity is provided. In some embodiments, DAS for protecting network capacity includes monitoring a network service usage activity of the communications device in network communication; classifying the network service usage activity for differential network access control for protecting network capacity; and associating the network service usage activity with a network service usage control policy based on a classification of the network service usage activity to facilitate differential network access control for protecting network capacity.

Device group partitions and a settlement platform are provided. In some embodiments, device group partitions (e.g., partitions of devices based on associated device groups) are provided. In some embodiments, a settlement platform service is provided. In some embodiments, a settlement platform service is provided for partitioned devices. In some embodiments, collecting device generated service usage information for one or more devices in wireless communication on a wireless network; and aggregating the device generated service usage information for a settlement platform for the one or more devices in wireless communication on the wireless network is provided. In some embodiments, a settlement platform implements a service billing allocation and/or a service/transactional revenue share among one or more partners. In some embodiments, service usage information includes micro-CDRs, which are used for CDR mediation or reconciliation that provides for service usage accounting on any device activity that is desired. In some embodiments, each device activity that is desired to be associated with a billing event is assigned a micro-CDR transaction code, and a service processor of the device is programmed to account for that activity associated with that transaction code. In some embodiments, a service processor executing on a wireless communications device periodically reports (e.g., during each heartbeat or based on any other periodic, push, and/or pull communication technique(s)) micro-CDR usage measures to, for example, a service controller or some other network element for CDR mediation or reconciliation.

Implementations relate to identifying an event disrupting connectivity to a first network; determining, for an apparatus, that the apparatus has a connection to a second network; transmitting a message indicating to one or more neighboring devices that the apparatus has network connectivity; receiving a first relay request from a first device and a second relay request from a second device; forwarding, using the connection to the second network, a message associated with the first relay request; and transmitting, to the second device, a backoff message.

Disclosed are various embodiments for customer-defined capacity limit plans in communication networks. In one embodiment, a request for a service from a radio-based network is received from a first client device. A network function in the radio-based network is determined to be at a capacity limit. Service from the network function to a second client device to the network function is suspended in response to determining that the network function in the radio-based network is at the capacity limit and based at least in part on a rule set specific to the radio-based network. The first client device is provided access to the network function instead of the second client device.

Providing users with smooth and reliable applications in a cloud based setting is a desirable goal. An approach to pre-allocating cloud computing resources may be provided to improve user experience. A user device may monitor an environment for individual user behaviors with visual and/or audio sensors. Based on data from the visual and/or audio sensors individual behaviors may be identified. Individual behaviors may be identified and associated with a cloud computing resource request. Computing resources in the cloud may be reserved or pre-allocated based on the cloud computing resource request. The pre-allocated computing resources can improve user experience through reduced wait time and improve initial cloud-based application response.

Cloud infrastructure planning systems and methods can utilize artificial intelligence/machine learning agents for developing a plan of demand, plan of record, plan of execution, and plan of availability for developing cloud infrastructure plans that are more precise and accurate, and that learn from previous planning and deployments. Some agents include one or more of supervised, unsupervised, and reinforcement machine learning to develop accurate predictions and perform self-tuning alone or in conjunction with other agents.

Reservations of resources within a dynamic workspace are made and facilitated including by pushing configurations specific to a worker for whom a reservation is made to the resource for a limited time period for the reservation. When the worker arrives for the reservation and checks in, configurations associated with the worker are obtained and pushed to the resource to configure the resource for use by the worker for a time period of the reservation. In some cases, an identity of the worker may be verified to complete the check in process for the reservation. In response to an end time of the reservation being determined, such as based on a scheduled end time for the reservation or based on a determination that the resource has gone unused for some amount of time, the configurations are removed from the resource to prepare the resource for use by a next worker.