Abstract: Systems and methods for a cost-to-serve (CTS) service to measure total cost-to-serve and cost attributions by a plurality of CTS agents spawned across dynamic resources to capture information from a set of instances associated with the plurality of resources; a CTS agent transaction module to publish a set of metrics established by the CTS agent for each instance and usage type; a CTS service collector module to aggregate from each CTS agent, one or more instances from the set of instances to generate transaction metrics; a CTS measurement service module for measuring a total cost for each selected transaction stored at the CTS store based on at least a cost per unit; a CTS metrics processor module for aggregating metrics related to the transactions to determine total cost and set of cost attributions for a selected cloud; and a CTS metrics analytic module to provide cost attribution analytics in the selected cloud in an analytics display.

Abstract: Systems and methods for an elastic cost-to-serve system including a first module to orchestrate an elastic server set; a second module to orchestrate a load test and to apply one or more use-case scenarios for each orchestrated server set; a third module to generate a cost metrics model of the orchestrated server set for predictive cost modeling; a fourth module coupled to the third module to collect a plurality of performance metrics across the server resources and associated client devices; a fifth module to post-process the collected performance metrics across a load testing duration and to provide analytics of the server set performance; and a sixth module coupled to analyze the performance metrics adapting available resources and to apply a heuristic of the cost metrics model to predict a model of cost optimization of the server set.

Abstract: Embodiments regard composite batching to manage throughput for online commerce applications. An embodiment of one or more storage mediums include instructions for processing online transaction requests for an order management service to generate transaction records, the online transaction requests including at least a first type of transaction and a second type of transaction; accumulating the transaction records in a storage; automatically determining a batch size for application program interface (API) requests for the transaction records and a frequency rate for the API requests based at least in part on a throughput rate for the processed transaction requests; and process the API requests to the order management service.

Abstract: Systems and methods for a cost-to-serve (CTS) service to measure total cost-to-serve and cost attributions by a plurality of CTS agents spawned across dynamic resources to capture information from a set of instances associated with the plurality of resources; a CTS agent transaction module to publish a set of metrics established by the CTS agent for each instance and usage type; a CTS service collector module to aggregate from each CTS agent, one or more instances from the set of instances to generate transaction metrics; a CTS measurement service module for measuring a total cost for each selected transaction stored at the CTS store based on at least a cost per unit; a CTS metrics processor module for aggregating metrics related to the transactions to determine total cost and set of cost attributions for a selected cloud; and a CTS metrics analytic module to provide cost attribution analytics in the selected cloud in an analytics display.

Abstract: Systems and methods for an elastic cost-to-serve system including a first module to orchestrate an elastic server set; a second module to orchestrate a load test and to apply one or more use-case scenarios for each orchestrated server set; a third module to generate a cost metrics model of the orchestrated server set for predictive cost modeling; a fourth module coupled to the third module to collect a plurality of performance metrics across the server resources and associated client devices; a fifth module to post-process the collected performance metrics across a load testing duration and to provide analytics of the server set performance; and a sixth module coupled to analyze the performance metrics adapting available resources and to apply a heuristic of the cost metrics model to predict a model of cost optimization of the server set.

Abstract: Embodiments regard client-side memory management in component-driven console applications. An embodiment of one or more storage mediums include instructions for performing processing of a console application on an apparatus, including downloading records from a server for a set of one or more of multiple workspaces and opening the set of workspaces in response to request by a user, and switching an active workspace from a first workspace to a second workspace of the plurality of workspaces in response to a request from the user; monitoring memory usage for the plurality of workspaces and monitoring a state of the console application; and managing the memory allocation for the console application based at least in part on the monitored memory usage and console application state.

Abstract: Method embodiments are disclosed for characterizing network latency for a component of a webpage provided by an application server device, using boxcarring of action requests. The method comprises measuring the network latency for a component provided by an application server device. A latency category is established based on the network latency. An action request of a user occurring within a queue wait time is associated with the latency category. The action request of the user associated with the latency category is enqueued into an enqueued action request, which is batched in a boxcar to create a batched action request. The batched action request is dispatched in the boxcar to the application server device. The queue wait time is adapted based on an updated network latency and a transmission status of the action request of the user and the batched action request. System and computer program product embodiments are also disclosed.

Abstract: Embodiments regard client-side memory management in component-driven console applications. An embodiment of one or more storage mediums include instructions for performing processing of a console application on an apparatus, including downloading records from a server for a set of one or more of multiple workspaces and opening the set of workspaces in response to request by a user, and switching an active workspace from a first workspace to a second workspace of the plurality of workspaces in response to a request from the user; monitoring memory usage for the plurality of workspaces and monitoring a state of the console application; and managing the memory allocation for the console application based at least in part on the monitored memory usage and console application state.

Abstract: Embodiments regard composite batching to manage throughput for online commerce applications. An embodiment of one or more storage mediums include instructions for processing online transaction requests for an order management service to generate transaction records, the online transaction requests including at least a first type of transaction and a second type of transaction; accumulating the transaction records in a storage; automatically determining a batch size for application program interface (API) requests for the transaction records and a frequency rate for the API requests based at least in part on a throughput rate for the processed transaction requests; and process the API requests to the order management service.

Abstract: A method is described for intelligently prefetching a web page of a web application for a user. The method includes loading, by a client device, a current web page of the web application in a web browser of the client device; determining a predicted web page based on the current web page and usage patterns of the user, wherein the predicted web page is a web page the user is predicted to navigate to from the current web page; prefetching, by the client device, metadata and content data describing the predicted web page from a web server prior to the user requesting the predicted web page; and caching, by the client device, the metadata and content data describing the predicted web page in a multi-level caching structure.

Abstract: A method is described for intelligently prefetching a web page of a web application for a user. The method includes loading, by a client device, a current web page of the web application in a web browser of the client device; determining a predicted web page based on the current web page and usage patterns of the user, wherein the predicted web page is a web page the user is predicted to navigate to from the current web page; prefetching, by the client device, metadata and content data describing the predicted web page from a web server prior to the user requesting the predicted web page; and caching, by the client device, the metadata and content data describing the predicted web page in a multi-level caching structure.

Abstract: A method for dynamically configuring a web page of an application, including a set of components presented in the web page, is described. The method includes determining, by a web server, usage characteristics associated with a user and the set of components of the web page; modifying, by the web server, an optimization parameter for a component in the set of components based on the usage characteristics, wherein the optimization parameter for the component indicates that a minimized version of the component is to be used in the web page for the user instead of a full-sized version of the component; and generating, by the web server based on the optimization parameter for the component, the web page such that the minimized version of the component is used in the web page.

Abstract: A method for providing performance data is provided. The method detects a current composition and layout of a graphical user interface (GUI), by a processor configured to present the GUI via a display device communicatively coupled to the processor, wherein the current composition and layout comprises reusable software components; identifies, by the processor, performance characteristics associated with historical activity of a user and with each of the reusable software components of the current composition and layout; creates a statistical forecasting model, by the processor, based on the performance characteristics; generates a performance score based on the statistical forecasting model, by the processor, wherein the performance score indicates a loading time of the GUI; and presents the performance score, by the display device communicatively coupled to the processor.

Abstract: Method embodiments are disclosed for characterizing network latency for a component of a webpage provided by an application server device, using boxcarring of action requests. The method comprises measuring the network latency for a component provided by an application server device. A latency category is established based on the network latency. An action request of a user occurring within a queue wait time is associated with the latency category. The action request of the user associated with the latency category is enqueued into an enqueued action request, which is batched in a boxcar to create a batched action request. The batched action request is dispatched in the boxcar to the application server device. The queue wait time is adapted based on an updated network latency and a transmission status of the action request of the user and the batched action request. System and computer program product embodiments are also disclosed.

Abstract: Improved perceived load time for browser and mobile application pages is achieved by adjusting boxcarring of action requests from coupled data consuming applications on the user device, using the priority level of regions and components in component-driven cloud applications. Priority labels differentiate among display regions rendered by the data consuming application and the priority labels further differentiate among components within respective display regions. The middleware application batches the action requests into batches based at least in part on the priority labels, into boxcars segregated by priority label according to a predetermined segregation schedule, and dispatches the boxcars of batched action requests to the server. Performance is also dynamically speeded up, by adjusting inter-boxcar intervals used to dispatch batches of action requests from the user device to a production server, based on the dynamically measured network communication latency between the user device and the server.

Abstract: Performance of web pages and mobile device applications with multiple components rendered on a user device is dynamically speeded up, including dynamically measuring network communication latency, adjusting inter-boxcar intervals used to dispatch batches of action requests from the user device to a production server, and dispatching boxcarred requests to the server. Adjustments to the boxcar intervals are based on the dynamically measured network communication latency and a number of connections supported between the user device and the server. The measured network communication latency is calculated as dispatch-to-completed response time minus server processing time and the server processing time is received from the server for a boxcar of completed responses. The system adjusts according to feedback received, as a browser or mobile device changes network connections or the network conditions change, and adapting over time for a particular user.

Abstract: Improved perceived load time for browser and mobile application pages is achieved by adjusting boxcarring of action requests from coupled data consuming applications on the user device, using the priority level of regions and components in component-driven cloud applications. Priority labels differentiate among display regions rendered by the data consuming application and the priority labels further differentiate among components within respective display regions. The middleware application batches the action requests into batches based at least in part on the priority labels, into boxcars segregated by priority label according to a predetermined segregation schedule, and dispatches the boxcars of batched action requests to the server. Performance is also dynamically speeded up, by adjusting inter-boxcar intervals used to dispatch batches of action requests from the user device to a production server, based on the dynamically measured network communication latency between the user device and the server.

Abstract: Performance of web pages and mobile device applications with multiple components rendered on a user device is dynamically speeded up, including dynamically measuring network communication latency, adjusting inter-boxcar intervals used to dispatch batches of action requests from the user device to a production server, and dispatching boxcarred requests to the server. Adjustments to the boxcar intervals are based on the dynamically measured network communication latency and a number of connections supported between the user device and the server. The measured network communication latency is calculated as dispatch-to-completed response time minus server processing time and the server processing time is received from the server for a boxcar of completed responses. The system adjusts according to feedback received, as a browser or mobile device changes network connections or the network conditions change, and adapting over time for a particular user.

Abstract: Methods and systems for measuring the performance of a mobile application and its associated user page flows include a communication link configured to connect a plurality of mobile client devices to an application server running the mobile application. The system includes a first module configured to implement a plurality of mobile network protocols; a second module configured to implement a plurality of mobile carrier protocols; a third module configured to implement a plurality of mobile operating systems; and a processing module configured to download the application and user pages from the application server and measure performance on each of the plurality of mobile client devices using different combinations of the plurality of mobile network protocols, the plurality of mobile carrier protocols, and the plurality of mobile operating systems.

Abstract: Methods and systems for measuring the performance of a mobile application and its associated user page flows include a communication link configured to connect a plurality of mobile client devices to an application server running the mobile application. The system includes a first module configured to implement a plurality of mobile network protocols; a second module configured to implement a plurality of mobile carrier protocols; a third module configured to implement a plurality of mobile operating systems; and a processing module configured to download the application and user pages from the application server and measure performance on each of the plurality of mobile client devices using different combinations of the plurality of mobile network protocols, the plurality of mobile carrier protocols, and the plurality of mobile operating systems.