18184790. SYSTEM AND METHOD FOR LARGE NUMBER OF SIMULTANEOUS READ STREAMS FOR DDVE DATA STORED INTO OBJECT STORE simplified abstract (Dell Products L.P.)
SYSTEM AND METHOD FOR LARGE NUMBER OF SIMULTANEOUS READ STREAMS FOR DDVE DATA STORED INTO OBJECT STORE
Organization Name
Inventor(s)
Girish Balvantrai Doshi of Pune (IN)
Vikas Jagannath Chaudhary of Pune (IN)
SYSTEM AND METHOD FOR LARGE NUMBER OF SIMULTANEOUS READ STREAMS FOR DDVE DATA STORED INTO OBJECT STORE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18184790 titled 'SYSTEM AND METHOD FOR LARGE NUMBER OF SIMULTANEOUS READ STREAMS FOR DDVE DATA STORED INTO OBJECT STORE
Simplified Explanation: The patent application describes a method for dynamically scaling compute instances to service read requests from a backup application.
Key Features and Innovation:
- Receiving read requests from a backup application
- Determining availability of compute instances
- Spawning additional compute instances when needed
- Servicing read requests using additional compute instances
- Spinning down unnecessary compute instances after servicing requests
Potential Applications: This technology could be applied in cloud computing environments, data backup services, and distributed computing systems.
Problems Solved: This technology addresses the challenge of efficiently scaling compute resources to meet varying demand from backup applications.
Benefits:
- Improved performance and responsiveness for backup applications
- Cost-effective resource allocation
- Enhanced scalability and flexibility in compute resource management
Commercial Applications: The technology could be utilized by cloud service providers, data centers, and companies offering backup and disaster recovery solutions.
Prior Art: Readers interested in prior art related to dynamically scaling compute instances in response to backup application requests could explore research on cloud computing, resource management algorithms, and distributed systems.
Frequently Updated Research: Researchers may find relevant studies on dynamic resource allocation, auto-scaling mechanisms, and workload management in cloud computing environments.
Questions about Dynamic Compute Scaling: 1. How does dynamic compute scaling benefit backup applications? 2. What are the key considerations when implementing auto-scaling mechanisms for compute instances in cloud environments?
Original Abstract Submitted
One example method includes receiving read requests from a backup application, determining whether or not adequate compute instances are available to service the read requests, when adequate compute instances are not available to service the read requests, spawning additional compute instances so that the read requests can be serviced, servicing the read requests using the additional compute instances, and after the read requests have been serviced, spinning down any compute instances that are no longer needed.
