| Patent application number | Description | Published |
|---|
| 20080228459 | Method and Apparatus for Performing Capacity Planning and Resource Optimization in a Distributed System - Disclosed is a method and apparatus for performing capacity planning and resource optimization in a distributed system. In particular, the capacity needs of individual components (e.g., server, operating system, CPU, application software, memory, networking device, storage device, etc.) in a distributed system can be analyzed using relationships between measurements collected from the distributed system. These relationships, called invariants, do not change over time. From these measurements, a network of invariants are determined. The network of invariants characterize the relationships between the measurements. The capacity need of at least one component in the distributed system can be determined from the network of invariants. | 09-18-2008 |
| 20090112780 | DISCOVERING OPTIMAL SYSTEM CONFIGURATIONS USING DECENTRALIZED PROBABILITY BASED ACTIVE SAMPLING - A system and method for optimizing system performance includes applying sampling based optimization to identify optimal configurations of a computing system by selecting a number of configuration samples and evaluating system performance based on the samples. Based on feedback of evaluated samples, a location of an optimal configuration is inferred. Additional samples are generated towards the location of the inferred optimal configuration to further optimize a system configuration. | 04-30-2009 |
| 20090132865 | Systems and Methods for Automatic Profiling of Network Event Sequences - Systems and methods are disclosed that profile event sequences by creating a mixture model from the event sequences; estimating parameters for the mixture model; and applying the mixture model to profile the event sequences. | 05-21-2009 |
| 20090292954 | RANKING THE IMPORTANCE OF ALERTS FOR PROBLEM DETERMINATION IN LARGE SYSTEMS - A system and method for prioritizing alerts includes extracting invariants to determine a stable set of models for determining relationships among monitored system data. Equivalent thresholds for a plurality of rules are computed using an invariant network developed by extracting the invariants. For a given time window, a set of alerts are received from a system being monitored. A measurement value of the alerts is compared with a vector of equivalent thresholds, and the set of alerts is ranked. | 11-26-2009 |
| 20100131440 | EXPERIENCE TRANSFER FOR THE CONFIGURATION TUNING OF LARGE SCALE COMPUTING SYSTEMS - A computer implemented method employing experience transfer to improve the efficiencies of an exemplary configuration tuning in computing systems. The method employs a Bayesian network guided tuning algorithm to discover the optimal configuration setting. After the tuning has been completed, a Bayesian network is obtained that records the parameter dependencies in the original system. Such parameter dependency knowledge has been successfully embedded to accelerate the configuration searches in other systems. Experimental results have demonstrated that with the help of transferred experiences we can achieve significant time savings for the configuration tuning task. | 05-27-2010 |
| 20100262858 | Invariants-Based Learning Method and System for Failure Diagnosis in Large Scale Computing Systems - A method system for diagnosing a detected failure in a computer system, compares a failure signature of the detected failure to an archived failure signature contained in a database to determine if the archived failure signature matches the failure signature of the detected failure. If the archived failure signature matches the failure signature of the detected failure, an archived solution is applied to the computer system that resolves the detected failure, the archived solution corresponding to a solution used to resolve a previously detected computer system failure corresponding to the archived failure signature in the database that matches the detected failure. | 10-14-2010 |
| 20110173327 | Virtualization and Consolidation Analysis Engine for Enterprise Data Centers - A method and apparatus for consolidating a plurality of applications into one or more servers. The method and apparatus organizes consolidation constraints representing preferences about placing applications into the one or more servers, and allocates the applications into the one or more servers in a manner that maximally satisfies the consolidation constraints. | 07-14-2011 |
| 20110320391 | Method and Apparatus for Predicting Application Performance Across Machines with Different Hardware Configurations - A method and system for predicting performance of an application on a machine of a predetermined hardware configuration simulates the performance of the application under a plurality of different simulated hardware configurations; builds a predictive model of the performance of the application based on the results of the simulations; obtains the performance of the application on a plurality of actual machines, each of the machines having a different hardware configuration; and Bayesian reinterprets the predictive model built from the results of the simulations using the performance of the application on the plurality of actual machines, to obtain a final predictive model of the performance of the application having an accuracy greater than the predictive model built from the results of the simulations. | 12-29-2011 |
