Dell products l.p. (20240311258). SYSTEM AND METHOD FOR LARGE NUMBER OF SIMULTANEOUS READ STREAMS FOR DDVE DATA STORED INTO OBJECT STORE simplified abstract
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 20240311258 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 can be applied in cloud computing, data backup services, and disaster recovery solutions.
Problems Solved: This technology addresses the challenge of efficiently scaling compute resources to meet varying demand from backup applications.
Benefits:
- Improved performance and scalability
- Cost-effective resource utilization
- Enhanced reliability and availability of backup services
Commercial Applications: The technology can be utilized by cloud service providers, data centers, and backup solution vendors to optimize resource allocation and improve service delivery.
Prior Art: Researchers can explore existing literature on dynamic resource allocation in cloud computing and backup systems to find relevant prior art.
Frequently Updated Research: Stay updated on advancements in cloud computing, resource management algorithms, and backup technologies to enhance the scalability and efficiency of this method.
Questions about Dynamic Compute Scaling: 1. How does dynamic compute scaling benefit backup applications? 2. What are the key considerations when implementing dynamic compute scaling for backup services?
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.
