초록 ▼

Basestation equipment in a mobile data network is subject to harsh environmental conditions at many remote locations. International Business Machines Corporation (IBM) has introduced a Mobile Internet Optimization Platform (MIOP) appliance, referred herein as the MIOP@NodeB. This appliance is placed

Basestation equipment in a mobile data network is subject to harsh environmental conditions at many remote locations. International Business Machines Corporation (IBM) has introduced a Mobile Internet Optimization Platform (MIOP) appliance, referred herein as the MIOP@NodeB. This appliance is placed at the edge or basestation of a mobile data network to provide a platform for hosting applications and enhancing mobile network services. The introduction of an edge appliance provides a platform for additional reliability functions. A predictive failure mechanism in the basestation appliance mitigates the effects of predicted failures in a mobile network basestation due to weather conditions. The predictive failure mechanism considers historical data, ambient environmental conditions, weather alerts and weather forecasts to take pre-emptive action to avert partial or total failure of the basestation equipment.

대표청구항 ▼

1. A method for mitigating predicted failures in a mobile data network due to weather, the method comprising the steps of: on a breakout system in a basestation performing the steps of: breaking out user data from an intercepted data stream from a user equipment so that the breakout system can perfo

1. A method for mitigating predicted failures in a mobile data network due to weather, the method comprising the steps of: on a breakout system in a basestation performing the steps of: breaking out user data from an intercepted data stream from a user equipment so that the breakout system can perform a service for the user equipment;obtaining a local weather forecast for the basestation;obtaining local environmental conditions outside of the basestation and inside of the basestation;obtaining a historical data pattern derived from historical data of the basestation;using the local weather forecast, the local environmental conditions and the historical data pattern to determine if there is a predicted failure;when there is a predicted failure then taking pre-emptive action to mitigate the predicted failure;wherein the action taken to mitigate the predicted failure comprises communicating with environmental systems to take pre-emptive measures, and the pre-emptive measures include cooling an internal environment of the basestation having mobile basestation equipment beyond a normal range in preparation for a forecasted abnormally hot condition; andwherein the action taken to mitigate the predicted failure comprises gracefully ending breakout of user data of all user equipment on the breakout system and then shutting down the breakout system. 2. The method of claim 1 wherein the step of obtaining a historical data pattern comprises the steps of: monitoring usage of the basestation over time;gathering the historical data;storing the historical data;performing trend analysis on the stored historical data to create historical data patterns; andstoring the historical data patterns. 3. The method of claim 1 wherein the predictive failure mechanism determines the historical data pattern from historical load data, where the historical data pattern includes external and internal temperatures that are known to cause a failure at a specific loading percentage and where the specific loading percentage typically occurs at a specific time of a week. 4. The method of claim 1 wherein the action taken to mitigate the predicted failure comprises offloading workload of the breakout system that includes providing the service for the user equipment to another location chosen from the following: an adjacent basestation, and a system upstream in the mobile data network. 5. The method of claim 1 wherein the environmental systems include an environmental system within the basestation that controls environmental conditions within the basestation and an environmental system in the breakout system. 6. The method of claim 1 wherein the action taken to mitigate the predicted failure comprises reducing a workload on the breakout system by selecting users that will not be broken out based on collected usage patterns for the users. 7. The method claim 1 wherein the historical data used to derive the historical data patterns to predict the failure comprise: historical failure data and historical load data. 8. The method of claim 1 wherein the action taken to mitigate the predicted failure comprises reducing a workload on the breakout system by selecting users that will not be broken out based on a specific data type being used by the users. 9. A method for mitigating predicted failures in a mobile data network due to weather, the method comprising the steps of: on a breakout system in a basestation performing the steps of:breaking out user data of a user from an intercepted data stream from a user equipment so that the breakout system can perform a service for the user equipment;obtaining a local weather forecast for the basestation;obtaining local environmental conditions outside a basestation and inside the basestation;obtaining a historical data pattern derived from historical data of the basestation comprising steps a through e: a. monitoring usage of the basestation over time;b. gathering the historical data;c. storing the historical data;d. performing trend analysis on the stored historical data to create the historical data pattern; ande. storing the historical data pattern;using the local weather forecast, the local environmental conditions and the historical data pattern to determine if there is a predicted failure; when there is a predicted failure then taking pre-emptive action to mitigate the predicted failure, wherein the action taken to mitigate the predicted failure comprises gracefully ending breakout of user data of all user equipment on the breakout system and then shutting down the breakout system. 10. The method of claim 9 wherein the step of performing trend analysis on the stored historical data to create the historical data pattern includes determining external and internal basestation temperatures that are known to cause a failure at a specific loading percentage and where the specific loading percentage typically occurs at a specific time of a week. 11. The method of claim 9 wherein the action taken to mitigate the predicted failure comprises reducing a workload on the breakout system by selecting users that will not be broken out based on a specific data type being used by the customers. 12. A method for mitigating predicted failures in a mobile data network due to weather, the method comprising the steps of: on a breakout system in a basestation performing the steps of: breaking out user data of a user from an intercepted data stream from a user equipment so that the breakout system can perform a service for the user equipment;obtaining a local weather forecast for the basestation;obtaining local environmental conditions outside of the basestation and inside of the basestation;obtaining a historical data pattern derived from historical data of the basestation;using the local weather forecast, the local environmental conditions and the historical data pattern to determine if there is a predicted failure;when there is a predicted failure then taking pre-emptive action to mitigate the predicted failure; andwherein the step of obtaining a historical data pattern comprises the steps of:monitoring usage of the basestation over time;gathering the historical data that includes historical failure data, historical load data and historical usage data;wherein the historical failure data comprises a time, date, temperature, condition and failure;wherein the historical load data comprises a load percentage for a time and date along with corresponding internal temperature and external temperature;storing the historical data;performing trend analysis on the stored historical data to create historical data patterns;storing the historical data patterns; andwherein the predictive failure mechanism creates the historical data pattern from the historical load data, where the historical data pattern comprises a temperature and a specific load percentage that caused a failure, a condition, and the type of failure, where an electrical failure is caused by a low temperature condition and a thermal failure is caused by a high temperature condition. 13. The method of claim 12 wherein the action taken to mitigate the predicted failure comprises offloading workload of the breakout system that includes providing the service for the user equipment to another location chosen from the following: an adjacent basestation, and a system upstream in the mobile data network. 14. The method of claim 12 wherein the action taken to mitigate the predicted failure comprises reducing the workload by selecting users that will not be broken out based on collected usage patterns for the users. 15. The method of claim 12 wherein the action taken to mitigate the predicted failure comprises gracefully ending breakout of user data of all user equipment on the breakout system and then shutting down the breakout system.