Abstract: Methods, systems, and techniques for analyzing and managing time series workload data are provided. Example embodiments provide a Data Management and Analysis platform that enables end users to modernize their system configurations to incorporate external services techniques, such as cloud technologies, and to utilize virtualization technologies to host some of their functions in a manner that improves the overall performance of their configurations. This may be particularly useful in an IT environment with many interdependent systems where it is hard to analyze and determine where externally hosted or hybrid (e.g., both remote and local) systems might improve the overall delivery of services and cost to end users.

Abstract: Methods, systems, and techniques for analyzing and managing time series workload data are provided. Example embodiments provide a Data Management and Analysis platform that enables end users to modernize their system configurations to incorporate external services techniques, such as cloud technologies, and to utilize virtualization technologies to host some of their functions in a manner that improves the overall performance of their configurations. This may be particularly useful in an IT environment with many interdependent systems where it is hard to analyze and determine where externally hosted or hybrid (e.g., both remote and local) systems might improve the overall delivery of services and cost to end users.

Abstract: Methods and systems for managing and analyzing multi-dimensional data are provided. Example embodiments provide a Meta-Object Data Management System “MODMS,” which enables users to arrange and to rearrange hierarchical relationships of the data on an ad-hoc basis and allows the data to be analyzed using any set of attributes (dimensions) while the system is running. The MODMS represents heterogeneous data in a normalized (standardized) fashion using an object type management system that allows the arbitrary coercion of one type of object into another different type of object and automatically resolves attribute dependencies. In one embodiment, the MODMS comprises an object type management subsystem; a meta-object instantiation subsystem; one or more data repositories; and an input/output interface. These components cooperate to allow the creation, management, and analysis of relationships between many different types of single and multi-dimensional data.

Abstract: Methods and systems for managing and analyzing multi-dimensional data are provided. Example embodiments provide a Meta-Object Data Management System “MODMS,” which enables users to arrange and to rearrange the hierarchical relationships of the data on an ad-hoc basis and allows the data to be analyzed using any set of attributes (dimensions) while the system is running. The MODMS represents heterogeneous data in a normalized (standardized) fashion using an object type management system that allows the coercion of one type of object into another different type of object and automatically resolves attribute dependencies. The MODMS supports object transitions for transforming an object from one type to another based upon meeting a defined set of criteria and subject to approval by designated entities. In one embodiment, the MODMS is used to implement an enterprise portfolio management system.

Abstract: Methods and systems for managing and analyzing multi-dimensional data are provided. Example embodiments provide a Meta-Object Data Management System “MODMS,” which enables users to arrange and to rearrange the hierarchical relationships of the data on an ad-hoc basis and allows the data to be analyzed using any set of attributes (dimensions) while the system is running. The MODMS represents heterogeneous data in a normalized (standardized) fashion using an object type management system that allows the arbitrary coercion of one type of object into another different type of object and automatically resolves attribute dependencies. In one embodiment, the MODMS comprises an object type management subsystem; a meta-object instantiation subsystem; one or more data repositories that hold, for example, the data used to populate objects and object type definitions; and an input/output interface.

Abstract: Methods and systems for managing and analyzing multi-dimensional data are provided. Example embodiments provide a Meta-Object Data Management System “MODMS,” which enables users to arrange and to rearrange the hierarchical relationships of the data on an ad-hoc basis and allows the data to be analyzed using any set of attributes (dimensions) while the system is running. The MODMS represents heterogeneous data in a normalized (standardized) fashion using an object type management system that allows the arbitrary coercion of one type of object into another different type of object and automatically resolves attribute dependencies. In one embodiment, the MODMS comprises an object type management subsystem; a meta-object instantiation subsystem; one or more data repositories that hold, for example, the data used to populate objects and object type definitions; and an input/output interface.

Abstract: Methods and systems for managing and analyzing multi-dimensional data are provided. Example embodiments provide a Meta-Object Data Management System “MODMS,” which enables users to arrange and to rearrange the hierarchical relationships of the data on an ad-hoc basis and allows the data to be analyzed using any set of attributes (dimensions) while the system is running. The MODMS represents heterogeneous data in a normalized (standardized) fashion using an object type management system that allows the coercion of one type of object into another different type of object and automatically resolves attribute dependencies. The MODMS supports object transitions for transforming an object from one type to another based upon meeting a defined set of criteria and subject to approval by designated entities. In one embodiment, the MODMS is used to implement an enterprise portfolio management system.

Abstract: Methods and systems for managing and analyzing multi-dimensional data are provided. Example embodiments provide a Meta-Object Data Management System “MODMS,” which enables users to arrange and to rearrange the hierarchical relationships of the data on an ad-hoc basis and allows the data to be analyzed using any set of attributes (dimensions) while the system is running. The MODMS represents heterogeneous data in a normalized (standardized) fashion using an object type management system that allows the arbitrary coercion of one type of object into another different type of object and automatically resolves attribute dependencies. In one embodiment, the MODMS comprises an object type management subsystem; a meta-object instantiation subsystem; one or more data repositories that hold, for example, the data used to populate objects and object type definitions; and an input/output interface.