An example operation may include one or more of monitoring a plurality of brokers within a cluster to identify current workload attributes of the plurality of brokers, determining a health value of a lead broker within the cluster via execution of a machine learning model on current workload attributes of the lead broker, determining to modify resources assigned to the lead broker based on the determined health value of the lead broker, executing an optimization algorithm on the current workload attributes of the plurality of brokers within the cluster to determine an optimum task distribution, and reallocating tasks amongst the lead broker and the one or more other brokers within the cluster based on the optimum task distribution.

Various implementations described herein are directed to technologies for providing over the top streaming for one or more clients of a network. A network is formed among the network among customer premises equipment. The customer premises equipment may include at least a gateway and the one or more clients. A user selection for over the top (OTT) content is received. The OTT content is received and includes one or more cue points. The gateway is marked as a proxy server in response to receiving the one or more cue points. Proxy data is received from the gateway corresponding to the one or more cue points.

Various implementations described herein are directed to technologies for providing over the top streaming for one or more clients of a network. A network is formed among the network among customer premises equipment. The customer premises equipment may include at least a gateway and the one or more clients. A user selection for over the top (OTT) content is received. The OTT content is received and includes one or more cue points. The gateway is marked as a proxy server in response to receiving the one or more cue points. Proxy data is received from the gateway corresponding to the one or more cue points.

The present invention relates to a system for operating textile printing machines, with a first textile printing machine and at least one second textile printing machine, which machines are provided in a first entity or a second entity, which are independent of each other, wherein each textile printing machine is provided with a data-processing module, which detects data about the state, set-up and/or utilization of the textile printing machine, wherein the textile printing machine transmits the detected data to a data center, independent from entities and/or location, and wherein the data center is configured to accept print jobs from third parties and, based on the transmitted data, to transmit at least one print job fitting the data to one of the at least two textile printing machines. Moreover, the invention relates to a module for the system according to the invention.

A data processing request is obtained containing blockchain data and an identifier used to identify a blockchain network to which the data processing request belongs. The identifier is extracted from the data processing request. Based on the identifier, corresponding processing logic associated with the data processing request is executed. The blockchain data is stored to a blockchain storage area corresponding to the identifier.

Examples of a method for brokering remote servers are described herein. In some examples, performance data is received from a plurality of remote servers, where the performance data indicates rendering performance of a foreground application executed by at least one of the remote servers and streamed from at least one of the remote servers over a remote desktop connection. An indication of a selected application is received from a client. The client is directed to at least one of the remote servers based on the performance data and the selected application.

A system and method for implementing functionality within a network on behalf of first and second devices communicating with each other through the network. A front-end device is provided within the network that communicates data traffic with the first device. A back-end device is also implemented within the network and communicates data traffic with the second device. A communication channel couples the front-end device and the back-end device. Data traffic may be encoded into a different type or protocol for transport through the communication channel by the front-end device and back-end device. The front-end device and back-end device exchange quality of service information and may alter characteristics of the data traffic through the communication channel according to the quality of service information.

A data processing request is obtained containing blockchain data and an identifier used to identify a blockchain network to which the data processing request belongs. The identifier is extracted from the data processing request. Based on the identifier, corresponding processing logic associated with the data processing request is executed. The blockchain data is stored to a blockchain storage area corresponding to the identifier.

A data processing request is obtained containing blockchain data and an identifier used to identify a blockchain network to which the data processing request belongs. The identifier is extracted from the data processing request. Based on the identifier, corresponding processing logic associated with the data processing request is executed. The blockchain data is stored to a blockchain storage area corresponding to the identifier.

Cloud Foundry platform system comprising at least: a Cloud controller, a Service Broker, a Service Backend constituted by several Service instances, each linked to at least one Application, in a Droplet Execution Agent pool (DEA pool), a Graphic User Interface (GUI) and a platform diagnostic coupled with probes providing information on the recourses status of the system wherein the hardware and software arrangement forming the Graphic User Interface comprising a set of personalized activated interface cellules which can be manipulated by the user, and each can generate after their activation a piece of specific instruction, each specific instructions will be combined by the Graphic User Interface and transited to the Cloud controller using a routine and according to the resources available determined by the platform diagnostic, in a command, which replace the regular command entered by the user in a Command Line Interface.