Abstract: Methods and systems for enhanced computer performance improve software application execution in a computer system using, for example, a symmetrical multi-processing operating system including OS kernel services in kernel space of main memory, by using groups of related applications isolated areas in user space, such as containers, and using a reduced set of application group specific set of resource management services stored with each application group in user space, rather than the OS kernel facilities in kernel space, to manage shared resources during execution of an application, process or thread from that group. The reduced sets of resource management services may be optimized for the group stored therewith. Execution of each group may be exclusive to a different core of a multi-core processor and multiple groups may therefore execute separately and simultaneously on the different cores.

Abstract: Methods and algorithms, and one of their embodiments as an intelligent network proxy, capable of non-intrusively detecting, classifying, processing, analyzing, performing chronographic functions on, measuring responses and timing related data of, measuring behaviors and real-user quality-of-experience (QoE) and events of, and actively optimizing the performance and QoE of composite web transactions between a mobile device and a host at protocol-speed are described. With the algorithms and the proxy, a composite web transaction between a client device and a host (e.g.

Abstract: On a transaction network that supports short-duration electronic transactions within multiple service classes between input terminals and host processors, such as for credit card purchases, a network anomaly detector monitors the network to determine a potential fault either on or off the network before an actual network failure occurs. The network anomaly detector is provided with current transaction data for ongoing transactions, which data for each transaction includes the service class of the transaction, the start time of the transaction and the duration of the transaction. The current transaction data is converted to a traffic intensity, which provides a temporal measure of the traffic on the network within each predetermined binning interval for each service class.