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public:iris_enterprise_db_eng.ver [2019/04/24 08:22]
jins00 [Processing Processing PB-scale high-capacity data that overcome limit of performance]
public:iris_enterprise_db_eng.ver [2019/05/29 14:09] (current)
jins00 [Case Study]
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 ==== Case Study ==== ==== Case Study ====
  
-^  ​[[public:​success_stories#​comprehensive_billing_analysis_and_verification|Large mobile carrier expands capacity of its data warehouse system at much lower cost]]  ​^ ​ Global mobile carrier searches over 2 billion mobile network quality information on the map in real time  |  ​+^  Large mobile carrier expands capacity of its data warehouse system at much lower cost  ^  Global mobile carrier searches over 2 billion mobile network quality information on the map in real time  |  ​
 |The existing data warehouse(DW) system becomes unstable due to the explosion of input data(over 100 billion data per day).\\ ⇒ Instead of expanding capacity of the existing DW system at high cost, IRIS takes over heavy-load processes running on the DW.|Data can not be retrieved due to performance degradation when searching for massive data(more than 2 billion a day) related with the wireless quality\\ ⇒ Stores and searches wireless quality data in IRIS| |The existing data warehouse(DW) system becomes unstable due to the explosion of input data(over 100 billion data per day).\\ ⇒ Instead of expanding capacity of the existing DW system at high cost, IRIS takes over heavy-load processes running on the DW.|Data can not be retrieved due to performance degradation when searching for massive data(more than 2 billion a day) related with the wireless quality\\ ⇒ Stores and searches wireless quality data in IRIS|
 |- Reduces the expansion cost of existing DW by 60%\\ - Resolves the problem of service disruption caused by data explosion|- Allows users to search wireless quality data at low cost by introducing IRIS| |- Reduces the expansion cost of existing DW by 60%\\ - Resolves the problem of service disruption caused by data explosion|- Allows users to search wireless quality data at low cost by introducing IRIS|
-^  ​[[public:​customer_experience_assurance_system|Global mobile carrier is able to do service quality analytics per 4G/5G subscriber with Mobigen]]  ​^  ​[[public:​cyber_threat_information_analysis_and_sharing_system|Major government-affiliated organization shares cyber threat information in real time]]  |+^  Global mobile carrier is able to do service quality analytics per 4G/5G subscriber with Mobigen ​ ^  Major government-affiliated organization shares cyber threat information in real time  |
 |Analytics system of service quality perceived by individual subscriber is necessary in order to resolve customer complaints about service quality.\\ ⇒ A probe system together with IRIS is introduced.|Client wants to share the cyber attack information with external organizations in real time in order to respond to cyber attacks and prevent the spread of damages.| |Analytics system of service quality perceived by individual subscriber is necessary in order to resolve customer complaints about service quality.\\ ⇒ A probe system together with IRIS is introduced.|Client wants to share the cyber attack information with external organizations in real time in order to respond to cyber attacks and prevent the spread of damages.|
 |- Captures packet data from the network and generates the detailed call logs in real time\\ - Allows operators to monitor end-to-end service quality per subscriber in real time|- Provides a comprehensive analysis environment for various types of cyber attacks\\ - Contributes to prevent spread of damage by sharing information in real time| |- Captures packet data from the network and generates the detailed call logs in real time\\ - Allows operators to monitor end-to-end service quality per subscriber in real time|- Provides a comprehensive analysis environment for various types of cyber attacks\\ - Contributes to prevent spread of damage by sharing information in real time|
public/iris_enterprise_db_eng.ver.txt · Last modified: 2019/05/29 14:09 by jins00