Polinati
Chinna Polinati, Snoqualmie, WA US
Patent application number | Description | Published |
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20120066204 | PROVIDING LIGHTWEIGHT MULTIDIMENSIONAL ONLINE DATA STORAGE FOR WEB SERVICE USAGE REPORTING - Distributed and local processes analyze usage data and transform it into objects including timestamps and dimensions. Objects include a position vector to represent dimension analysis and additional attributes associated with measurements of different types. The objects are stored in a multidimensional database indexed on the vector and timestamp attributes. | 03-15-2012 |
20130064110 | ACTIVITY-AND DEPENDENCY-BASED SERVICE QUALITY MONITORING - Many services measure quality of service (QoS) according to abstract metrics based on general heuristics of QoS determinants (e.g., VoIP service providers may presume that QoS is predominantly determined by network performance). However, users' QoS perceptions are often based on their experiences with particular activities of the service, which may utilize different service paths having different QoS determinants. Therefore, QoS may be measured by identifying the activities of the service, and the dependencies among the components of such services; for respective activities and dependencies, identifying a service path from the source to the user, and the segments comprising the service path; measuring the quality of the segments of the service path; and calculating the QoS of the activity according to the QoS of the segments of the service path providing the activity. This approach may yield QoS information of greater relevance to the users' experience and with greater analytic value. | 03-14-2013 |
Chinna B. Polinati, Snoqualmie, WA US
Patent application number | Description | Published |
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20100293016 | CONTENT ACTIVITY FEEDBACK INTO A REPUTATION SYSTEM - Various embodiments provide an evaluation module that is configured to monitor activities of new users and ascertain, from monitored activities, a reputation associated with the new users. In at least some embodiments, the evaluation module comprises an activity store and/or a reputation service. The activity store can monitor different types of actions associated with new users. For example, the activity store can monitor content-based actions that pertain to particular pieces of content and/or user behaviors associated with new users. The reputation service, which may or may not comprise part of the evaluation module, can ascertain from information provided from the activity store, information, such as a reputation category, associated with content-based actions and/or user behaviors associated with new users. Based on a new user's information, e.g. reputation category, the new user can be assigned an activity type which, in turn, defines allowed and disallowed activities for the new user. | 11-18-2010 |
20150019560 | CONTENT ACTIVITY FEEDBACK INTO A REPUTATION SYSTEM - Various embodiments provide an evaluation module that is configured to monitor activities of new users and ascertain, from monitored activities, a reputation associated with the new users. In at least some embodiments, the evaluation module comprises an activity store and/or a reputation service. The activity store can monitor different types of actions associated with new users. For example, the activity store can monitor content-based actions that pertain to particular pieces of content and/or user behaviors associated with new users. The reputation service, which may or may not comprise part of the evaluation module, can ascertain from information provided from the activity store, information, such as a reputation category, associated with content-based actions and/or user behaviors associated with new users. Based on a new user's information, e.g. reputation category, the new user can be assigned an activity type which, in turn, defines allowed and disallowed activities for the new user. | 01-15-2015 |
Chinna Babu Polinati, Snoqualmie, WA US
Patent application number | Description | Published |
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20120254652 | FAULT DETECTION AND RECOVERY AS A SERVICE - The monitoring by a monitoring node of a process performed by a monitored node is often devised as a tightly coupled interaction, but such coupling may reduce the re-use of monitoring resources and processes and increase the administrative complexity of the monitoring scenario. Instead, fault detection and recovery may be designed as a non-proprietary service, wherein a set of monitored nodes, together performing a set of processes, may register for monitoring by a set of monitoring nodes. In the event of a failure of a process, or of an entire monitored node, the monitoring nodes may collaborate to initiate a restart of the processes on the same or a substitute monitored node (possibly in the state last reported by the respective processes). Additionally, failure of a monitoring node may be detected, and all monitored nodes assigned to the failed monitoring node may be reassigned to a substitute monitoring node. | 10-04-2012 |