Neeraj Garg

A system for periodic and real-time processing of accounts. The system operates in a bulk mode and an error mode. A bulk component concurrently processes a set of eligible accounts with a set of dependent tasks, and a removal component removes one or more accounts from the eligible accounts if an error is associated therewith. In bulk mode, each task fetches only the required set of accounts/subscriptions/payment instruments for processing. In error mode (retry/reprocess mode), if an account… Show more

A system for periodic and real-time processing of accounts. The system operates in a bulk mode and an error mode. A bulk component concurrently processes a set of eligible accounts with a set of dependent tasks, and a removal component removes one or more accounts from the eligible accounts if an error is associated therewith. In bulk mode, each task fetches only the required set of accounts/subscriptions/payment instruments for processing. In error mode (retry/reprocess mode), if an account encounters an error for a task in the bulk mode, the account drops is removed from bulk mode and becomes ineligible for fetching in any future bulk-mode task processing. Error-mode processing tests and processes all tasks sequentially for an errored account until the account state is in par with the accounts being processed by bulk mode. Then the account is removed from error mode processing and is picked up appropriately by bulk-mode processing Show less

Implementations of configuring security mechanisms utilizing a trust system are described. In one implementation, a request to communicate is received at a protected device. Before permission to communicate can be granted, a list of trusted devices is accessed. If information, such as an identity or a secret, associated with the device sending the request to communicate correlates to information found on the list of trusted devices, then communication can be allowed. Otherwise, communication… Show more

Implementations of configuring security mechanisms utilizing a trust system are described. In one implementation, a request to communicate is received at a protected device. Before permission to communicate can be granted, a list of trusted devices is accessed. If information, such as an identity or a secret, associated with the device sending the request to communicate correlates to information found on the list of trusted devices, then communication can be allowed. Otherwise, communication between the device and the protected device can be denied. Show less

Variable rate sampling may be used across a set of software services or for the same software service to construct a sequence of sampling sets. Users are selected over a time period using a sampling scheme to create the sampling sets. The sampling rate may change over time depending upon the underlying data that is desired, the software service that is used, and the anticipated population of users that may access the software service. The sampling sets may be combined to develop a common set… Show more

Variable rate sampling may be used across a set of software services or for the same software service to construct a sequence of sampling sets. Users are selected over a time period using a sampling scheme to create the sampling sets. The sampling rate may change over time depending upon the underlying data that is desired, the software service that is used, and the anticipated population of users that may access the software service. The sampling sets may be combined to develop a common set for subsequent analysis to provide information regarding a total population of users Show less

A rating and settlements engine synthesizes activity data to discover ratable events. The ratable events are processed to produce a rated event. In a described implementation, the ratable events are discovered responsive to an event-generation plug-in and/or the rated events are produced from the ratable events responsive to a rating-model plug-in.

Architecture that facilitates validation of a data mapping of data from a data source to a data target. There is included a signature generation component that generates a source signature of all or a portion of the data source and a target signature of all or a corresponding portion of the data target, and a sampling component that obtains a sample of the source data a corresponding sample of the target data. The data signatures and data samples are compared respectively and processed with a… Show more

Architecture that facilitates validation of a data mapping of data from a data source to a data target. There is included a signature generation component that generates a source signature of all or a portion of the data source and a target signature of all or a corresponding portion of the data target, and a sampling component that obtains a sample of the source data a corresponding sample of the target data. The data signatures and data samples are compared respectively and processed with a processing component to determine the status of the validation process Show less

Architecture that facilitates discerning integrity of a data handling system. The architecture includes an identification component that periodically applies to data, in a batch mode, a context-based rule, the rule identifying anamolous data that does not satisfy the rule. A healing component is included to further rectify and/or flag the identified anomalous data.

An improvement in applying and interpreting encoded knowledge about computer system performance engineering and in enabling a user to more readily understand and apply that knowledge to improve computer system performance. Textual and graphical depictions of insights, advice, behaviors, and explanations can be presented, all related to improving computer system performance. Fuzzy logic can be employed to accommodate incomplete measurement data and to present results in a qualitative format… Show more

An improvement in applying and interpreting encoded knowledge about computer system performance engineering and in enabling a user to more readily understand and apply that knowledge to improve computer system performance. Textual and graphical depictions of insights, advice, behaviors, and explanations can be presented, all related to improving computer system performance. Fuzzy logic can be employed to accommodate incomplete measurement data and to present results in a qualitative format, presenting relevant data as being high, low, substantial, etc., rather than simply presenting the values of the associated counters leading to those determinations. Intermediate values used to generate the results can also be processed with qualitative rather than quantitative values. Show less

In order to allow a single user registered on a single local host or other machine to access multiple shared resources on a remote host, an aliasing mechanism is employed so that multiple concurrent connections can be established by the user to a single remote host, with each connection using a different identity. Each connection can therefore be used to access a different shared resource on the remote host. In some illustrative examples, a user's identifier such as his or her machine log-in… Show more

In order to allow a single user registered on a single local host or other machine to access multiple shared resources on a remote host, an aliasing mechanism is employed so that multiple concurrent connections can be established by the user to a single remote host, with each connection using a different identity. Each connection can therefore be used to access a different shared resource on the remote host. In some illustrative examples, a user's identifier such as his or her machine log-in identification may be associated with two or more resource sharing aliases. As a result, two or more resource sharing sessions can be established by the user with a single remote host, with each of the sessions using a different one of the aliases. The resource sharing sessions are usually established in accordance with a resource sharing protocol such as the Server Block Message (SBM) protocol. Show less

Various technologies and techniques are disclosed for observing the real-world performance of components and using the collected data to improve other user experiences. Configuration data, usage data, and user experience data are collected for components on observed solution instances. The configuration data, usage data, and user experience data are analyzed to generate component diagnostic data that can be used to make recommendations to one or more advised solution instances as to how to… Show more

Various technologies and techniques are disclosed for observing the real-world performance of components and using the collected data to improve other user experiences. Configuration data, usage data, and user experience data are collected for components on observed solution instances. The configuration data, usage data, and user experience data are analyzed to generate component diagnostic data that can be used to make recommendations to one or more advised solution instances as to how to correct a problem being experienced on the one or more advised solution instances. In one implementation, the component diagnostic data generated includes a reputation rating for each of the components Show less

Various technologies and techniques are disclosed for automatically detecting whether a local network that a computer is connected to is a public or private network by utilizing a trusted online service and/or heuristics. Techniques are also described for detecting whether or not two computers are connected to the same local area network.

The present leverages data hierarchies to provide a systematic means to determine data differences between equivalent data. This allows disparate data storage systems to efficiently determine divergent data locations by utilizing, for example, data signatures representative of varying degrees of data granularity. Comparative analysis can then be performed between the databases by employing an iterative approach until the desired level of data granularity is obtained. This allows, in one… Show more

The present leverages data hierarchies to provide a systematic means to determine data differences between equivalent data. This allows disparate data storage systems to efficiently determine divergent data locations by utilizing, for example, data signatures representative of varying degrees of data granularity. Comparative analysis can then be performed between the databases by employing an iterative approach until the desired level of data granularity is obtained. This allows, in one instance of the present invention, discrepant data to be determined without the transfer of large amounts of data and without requiring homogeneous data storage systems. Another instance of the present invention utilizes equivalent logical data views from non-identical data sets to determine data discrepancies. Yet another instance of the present invention determines discrepancies of a federated and/or integrated data system by employing reversible data statistical signatures, providing a simplistic transfer protocol and sheltering each data system from the other's complexities Show less