Abstract: Virtual resources associated with an execution of a user's applications in a cloud or distributed resource configuration including virtual or physical machines, network services and storage are identified. A source and destination virtual machine, utilized by the user's applications, are determined, and at least one source or destination virtual machine belongs to the identified virtual resources. Measurement software for a virtual machine is downloaded. The measurement software acquires data for connections established in a transport layer for communicating between the source and destination virtual machine. Data acquired from the measurement software is received at a first time, and the data includes measurements of variables for the data communications via the connections. Based upon the measurements, metrics that characterize the data communications at a first time are generated. Measurements made at an additional number of times are also received.

Abstract: Once a potential bottleneck is identified, the system provides a methodology for locating the bottleneck. The methodology involves checking in order each of the application, transport and network layers of a sender and receiver nodes for performance problems. Conditions are defined for each of the layers at the sender and receiver nodes that are indicative of a particular type of bottleneck. When the conditions are met in any one of the layers, the system can be configured to stop the checking process and output a message indicating the presence of a bottleneck in the layer and its location. In addition, the system can be configured to generate and output a remedial action for eliminating the bottleneck. The system can be configured to perform the action automatically or after receiving a confirmation from the user.

Abstract: Virtual resources associated with an execution of a user's applications in a cloud or distributed resource configuration including virtual or physical machines, network services and storage are identified. A source and destination virtual machine, utilized by the user's applications, are determined, and at least one source or destination virtual machine belongs to the identified virtual resources. Measurement software for a virtual machine is downloaded. The measurement software acquires data for connections established in a transport layer for communicating between the source and destination virtual machine. Data acquired from the measurement software is received at a first time, and the data includes measurements of variables for the data communications via the connections. Based upon the measurements, metrics that characterize the data communications at a first time are generated. Measurements made at an additional number of times are also received.

Abstract: A local pre-transfer agent, that can be run on a local computer including RAM, one central processing unit, and one interface communicating with a data exchange network connected to the RAM by a communication bus. The agent includes a first function establishing a first predictive value of the data transmission or reception bandwidth limit from configuration data on the memory, a second function establishing a second predictive value of bandwidth limit from configuration data of the processing unit, a third function establishing a third predictive value of bandwidth limit from bus configuration data, a fourth function establishing a fourth predictive value of bandwidth limit from configuration data of the communication interface, and a hardware diagnostic function invoking each one these functions and establishing, from the resulting predictive values, a bandwidth reference value in accordance with predefined comparison rules for said predictive values.

Abstract: A local pre-transfer agent, that can be run on a local computer including RAM, one central processing unit, and one interface communicating with a data exchange network connected to the RAM by a communication bus. The agent includes a first function establishing a first predictive value of the data transmission or reception bandwidth limit from configuration data on the memory, a second function establishing a second predictive value of bandwidth limit from configuration data of the processing unit, a third function establishing a third predictive value of bandwidth limit from bus configuration data, a fourth function establishing a fourth predictive value of bandwidth limit from configuration data of the communication interface, and a hardware diagnostic function invoking each one these functions and establishing, from the resulting predictive values, a bandwidth reference value in accordance with predefined comparison rules for said predictive values.