17936775. SYSTEM AND METHOD FOR DATA MANAGEMENT WITH MOBILITY SUPPORT IN DISTRIBUTED EDGE CLOUD simplified abstract (Telefonaktiebolaget LM Ericsson (publ))
Contents
- 1 SYSTEM AND METHOD FOR DATA MANAGEMENT WITH MOBILITY SUPPORT IN DISTRIBUTED EDGE CLOUD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR DATA MANAGEMENT WITH MOBILITY SUPPORT IN DISTRIBUTED EDGE CLOUD - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEM AND METHOD FOR DATA MANAGEMENT WITH MOBILITY SUPPORT IN DISTRIBUTED EDGE CLOUD
Organization Name
Telefonaktiebolaget LM Ericsson (publ)
Inventor(s)
Nanjangud Chandrasekhara Swamy Narendra of Bangalore (IN)
Srinivasa Vinay Yadhav of Upplands Vasby (SE)
SYSTEM AND METHOD FOR DATA MANAGEMENT WITH MOBILITY SUPPORT IN DISTRIBUTED EDGE CLOUD - A simplified explanation of the abstract
This abstract first appeared for US patent application 17936775 titled 'SYSTEM AND METHOD FOR DATA MANAGEMENT WITH MOBILITY SUPPORT IN DISTRIBUTED EDGE CLOUD
Simplified Explanation
The abstract describes a method for proactively migrating and replicating user session data in a distributed edge cloud based on predicted user mobility.
- The method involves receiving an indication from a local data management agent to perform data readiness operations for a user session.
- Predicting the mobility of the user to determine target data nodes associated with service instances likely to be accessed by the user in the future.
- Migrating and replicating data associated with the user session from the source data node to the target data nodes.
Potential Applications
This technology could be applied in edge computing environments to optimize data availability and access for users with predicted mobility patterns.
Problems Solved
This technology addresses the challenge of ensuring data readiness and availability for users moving between different service instances in a distributed edge cloud environment.
Benefits
The method improves user experience by proactively migrating and replicating data to target nodes, reducing latency and ensuring seamless access to services.
Potential Commercial Applications
A potential commercial application of this technology could be in mobile edge computing platforms, where users frequently move between different edge nodes while accessing services.
Possible Prior Art
One possible prior art for this technology could be related to data replication and migration strategies in distributed computing systems, particularly in the context of improving data availability and access for mobile users.
Unanswered Questions
How does this method handle potential data consistency issues during migration and replication processes?
The method described in the abstract focuses on proactively migrating and replicating data based on predicted user mobility, but it does not specify how potential data consistency issues are addressed during these processes.
What mechanisms are in place to ensure the security and privacy of user session data during migration and replication?
While the abstract outlines the proactive migration and replication of user session data, it does not detail the security and privacy measures implemented to protect this data during the transfer process.
Original Abstract Submitted
Disclosed herein is a method performed by one or more computing devices implementing a data readiness manager to proactively migrate and replicate user session data in a distributed edge cloud. The method includes receiving, from a local data management agent of a source data node, an indication to perform data readiness operations for a user session, wherein the source data node is associated with a service instance being accessed by a user associated with the user session, determining a predicted mobility of the user, determining one or more target data nodes based on the predicted mobility of the user, wherein each of the one or more target data nodes is associated with a service instance that is determined to have a sufficiently high probability of being accessed by the user at a future time, and causing data associated with the user session to be migrated and replicated from the source data node to each of the one or more target data nodes.