Abstract:
The present technique is an apparatus and method evaluating software performance. The method identifies performance scenarios using a knowledge base and selects the performance scenarios from a context module using operational laws. The system analyzes performance criticality of an application workload. Furthermore, the system comprises a context module that ranks the performance criterions depending on the input and the knowledge base stores and retrieves the performance criterions using the operational laws. The knowledge base comprises the criterions and their relevant ranks based on the application context. The present technique automates classification of performance criterions into benefit and cost categories with the usage of the operational laws.
Abstract:
A system can create and manage a framework for integrating a plurality of business processes. The system can include a first tier module adapted for managing at least one internal function and at least one service of the plurality of business processes, wherein the business processes include respective predefined goals and objectives. The system can further include a second tier module adapted for managing business initiative solutions and establishing a capability to deploy and manage infrastructure based on the at least one function and at least one service of the plurality of business processes. Furthermore, the system can include a third tier module adapted for establishing an architecture according to the predefined goals and objectives of the plurality of business processes and an integration module adapted for linking the first tier module, the second tier module, the third tier module, or combinations thereof for creating and managing the framework.
Abstract:
A method and system for determining availability of a software application using Composite Hidden Markov Model (CHMM). The software application is divided into a plurality of layers which are further divided into sub-components. The configurations and dependencies of the sub-components are identified and also the state of the sub-components is determined. The state of the sub-components is represented in CHMM using state space diagram. The failure rate and recovery time of the sub-components is computed using the state space diagram and the respective transition tables are derived from the CHMM to determine the availability of the layers. The availability of the layers is combined to determine the availability of the software application.
Abstract:
A computer-implemented method for event matching in a complex event processing system includes receiving, with a computer processing device, a stream of event data; receiving, with a computer processing device, an event list and an access predicate list, wherein the event list includes one or more event data pairs; and identifying, with a graphical processing device, patterns in the stream of event data.
Abstract:
A fast booting computer apparatus includes one or more processors and a memory comprising a hard disk drive and a solid state drive coupled to the one or more processors. The one or more processors are configured to execute programmed instructions stored in the memory. The solid state drive is configured to store and provide the programmed instructions for an operating system for execution by the one or more processors when requested.
Abstract:
A method, non-transitory computer readable medium, and apparatus that identifies profile information for a received request associated with an end user at a requesting computing device and context information associated with the requesting computing device. Customized content responsive to the received request is obtained from a content provider device based on the identified profile information and the identified context information. The obtained customized content is providing to the requesting computing device.
Abstract:
Methods, systems, and computer-readable storage media for selecting one of a plurality of information technology (IT)-led innovation projects include obtaining a plurality of IT-led innovation projects. A selection of one or more research projects for each of the obtained IT-led innovation projects is determined based at least on one or more research project criteria. One of the obtained IT-led innovation projects is selected based at least on the determined selection of one or more research projects for each of the obtained IT-led innovation projects and one or more innovation project criteria. The selection of the one of the obtained IT-led innovation projects is provided.
Abstract:
Methods, systems, and computer-readable storage media for selecting one of a plurality of information technology (IT)-led innovation projects include obtaining a plurality of IT-led innovation projects. A selection of one or more research projects for each of the obtained IT-led innovation projects is determined based at least on one or more research project criteria. One of the obtained IT-led innovation projects is selected based at least on the determined selection of one or more research projects for each of the obtained IT-led innovation projects and one or more innovation project criteria. The selection of the one of the obtained IT-led innovation projects is provided.
Abstract:
Methods, apparatus, and computer-readable media for analyzing the prospective quality of source code produced according to a class representation (e.g., a UML class diagram) are disclosed. According to one embodiment, a class-level representation of a software application is received, one or more object classes of the class-level representation are selected, and a number of quality metrics are calculated for the selected object classes. The quality metrics can be output as a report or used to modify object classes of the class representation to improve the prospective quality of source code produced according to the class representation.
Abstract:
A multi-layer architecture is provided for elastic provisioning of virtualized computing resources. The multi-layer architecture comprises a physical hardware layer comprising a plurality of physical computing machines, a distributed operating system layer that aggregates and virtualizes the computing resources, and a virtual machine layer that comprises virtual machines provisioned, by the distributed operating system layer, with virtualized computing resources. Elastic provisioning of virtualized computing resources comprising receiving computing resource information of a plurality of physical computing machines, producing virtualized computing resources by aggregating the received computing resource information of the plurality of physical computing machines, and provisioning the virtualized computing resources among a plurality of virtual machines.