A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid). The client then downloads the data from these peers in parts and in parallel, thereby speeding up the Web transfer, releasing congestion from the Web by fetching the information from multiple sources, and relieving traffic from Web servers by offloading the data transfers from them to nearby peers.

A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid). The client then downloads the data from these peers in parts and in parallel, thereby speeding up the Web transfer, releasing congestion from the Web by fetching the information from multiple sources, and relieving traffic from Web servers by offloading the data transfers from them to nearby peers.

A method for configuring, via a website, a device to provide printing services to a local network is described. The method includes creating, via a website, a service host object that comprises a network address of a device on a local network and a service host name. The method also includes configuring, via the website, one or more printing settings for one or more printing services. The method further includes sending an indication to the device on the local network to run a service manager. The method additionally includes sending an indication to the service manager to run the one or more printing services on the local network based on the one or more printing service settings.

An agent interfaces with a sending computing device and a receiving computing device to automatically adjust one-way or two-way real-time audio and real-time video transmission parameters responsive to changing network conditions and/or application requirements. The agent incorporates a reinforcement learning model that adjusts transmission parameters to maximize an expected value of a sum of future rewards; the expected value of the sum of future rewards is based on a current state of the sending computing, a current action (e.g. a current set of transmission parameters) at the sending computing device and a reward provided by the receiving computing device. The reward is representative of a user-perceived quality of experience at the receiving computing device.

Systems and methods for controlling operations of a computer system. The methods comprises: collecting, by at least one computing device, information about events occurring in the computer system; performing automated ontogenesis operations by the at least one computing device using the collected information to determine a context of a given situation associated with the computer system, define parameters for a plurality of different sets of actions that could occur in the context of the given situation, and simulate the sets of actions to generate predicted consequences resulting from the performance of certain behaviors by nodes of the computer system; and using the parameters of at least one of the predicted consequences to control operations of the computer system.

Systems and methods for controlling operations of a computer system. The methods comprises: collecting, by at least one computing device, information about events occurring in the computer system; performing automated ontogenesis operations by the at least one computing device using the collected information to determine a context of a given situation associated with the computer system, define parameters for a plurality of different sets of actions that could occur in the context of the given situation, and simulate the sets of actions to generate predicted consequences resulting from the performance of certain behaviors by nodes of the computer system; and using the parameters of at least one of the predicted consequences to control operations of the computer system.

This document describes modeling and simulation techniques to select a cloud architecture profile based on correlations between application workloads and resource utilization. In some aspects, a method includes obtaining infrastructure data specifying utilization of computing resources of an existing computing system. Application workload data specifying tasks performed by one or more applications running on the existing computing system is obtained. One or more models are generated based on the infrastructure data and the application workload data. The model(s) define an impact on utilization of each computing resource in response to changes in workloads of the application(s). A workload is simulated, using the model(s), on a candidate cloud architecture profile that specifies a set of computing resources. A simulated utilization of each computing resource of the candidate cloud architecture profile is determined based on the simulation. An updated cloud architecture profile is generated based on the simulated utilization.

Techniques are disclosed for redirecting network traffic of virtualized application workload to a host-based firewall. For example, a system comprises a software defined networking (SDN) controller of a multi-tenant virtualized data center configured to: receive a security policy expressed as one or more tags to redirect traffic of a virtualized application workload to a host-based firewall (HBF) of the multi-tenant virtualized data center; configure network connectivity to the HBF in accordance with the security policy; a security controller that manages the HBF configured to: obtain the one or more tags from the SDN controller; receive one or more firewall policies expressed in terms of the one or more tags, wherein each of the one or more firewall policies specifies a function of the HBF; and configure the function of the HBF in accordance with the one or more firewall policies.

Methods are provided for recommending actions to improve operability of a network. In one implementation, a method includes acknowledging a plurality of subnetworks in a whole network, each subnetwork including multiple nodes and being represented by a tunnel group having multiple end-to-end tunnels through the subnetwork. The method also includes selecting a first group of subnetworks from the plurality of subnetworks and generating a Reinforcement Learning (RL) agent for each subnetwork of the first group. Each RL agent is based on observations of end-to-end metrics of the end-to-end tunnels of the respective subnetwork. The observations are independent of specific topology information of the subnetwork. Also, the method includes training a global model based on the RL agents of the first group of subnetworks and applying the global model to an Action Recommendation Engine (ARE) configured for recommending actions that can be taken to improve a state of the whole network.

A plurality of connection patterns is determined based on connectivity data collected by a plurality of agents. Each agent of the plurality of agents is installed on a respective compute node of a plurality of compute nodes. The connectivity data collected by each agent of the plurality of agents includes node-local connectivity data indicating node-local connections for the respective compute node on which the agent is installed. The node-local connections include communications with at least one application entity hosted by the respective compute node. A graph representation that is organized with respect to the at least one application entity hosted by each of the plurality of compute nodes is generated based on the plurality of connection patterns.