Emc IP Holding Company LLC

Dell Products Inc.

Sirisha Kaipa

Madhura Srinivasa Raghavan

Donna Barry Lewis

Yamini Allu

Srisailendra Yallapragada

Viral Kirtikumar Mehta

Balaji Subramanian

Vrushali A Kulkarni

Andrew R Huber

Neha R Naik

Bhagyashri Pathak

Vikas Chaudhary

A database manager maintains a database including information tracking a set of storage units and a set of storage appliances on which the storage units currently reside. At least a portion of the tracking information is cached in a server cache at a namespace redirection server. Some of the tracking information is cached in a set of client caches at a set of clients. A request to access a storage unit is received at a client. A lookup is made into a client cache at the client to find a storage appliance having the storage unit. A determination is made that there is a problem accessing the storage unit using the client cache. So, the namespace redirection server is queried for updated tracking information concerning a location of the storage unit. The client assists the namespace redirection server with management of the server cache.

Capacity-based redirection efficiency and resiliency

Information is stored that maps storage units to a pool of data protection appliances on which the storage units reside. The stored information includes a set of Internet Protocol (IP) addresses through which each data protection appliance can be reached. A connection request is received from a client. The connection request includes an identification of a particular storage unit which the client seeks to access for a data protection job. The particular storage unit is looked up in the stored information to identify a particular data protection appliance on which the particular storage unit currently resides. A list of multiple IP addresses through which the particular data protection appliance can be reached according to the stored information is returned to the client. The client, upon receipt of the list, selects an IP address from the list to attempt an initial connection to the particular data protection appliance.

Automatic selection of network path connecting backup clients to a pool of multiple backup storage appliances

Providing cache updates in a multi-node system through a service component between a lower level component and a next higher level component by maintaining a ledger storing an incrementing number indicating a present state of the datasets in a cache of the lower level component. The service component receives a data request to the lower level component from the higher level component including an appended last entry number accessed by the higher level component. It determines if the appended last entry number matches a current entry number in the ledger for any requested dataset. No match indicates that some data in the higher level component cache is stale. It then sends updated information for the stale data to the higher level component. The higher level component invalidates its cache entries and updates the appended last entry number to match a current entry number in the ledger.

Bottom-up pre-emptive cache update in a multi-level redundant cache system

An example method includes receiving a stream that identifies I/O operations requested to be performed with respect to a data grouping, identifying, in the stream, random I/O requests and sequential I/O requests, queuing the sequential I/O requests in a priority/processing queue and processing the sequential I/O requests immediately without waiting for loading of any metadata, and processing a first one of the random I/O requests and a second one of the random I/O request. When the first and second random I/O requests each depend on the same range of metadata, the first and second random I/O requests are processed in the order received, and when the first and second random I/O requests each depend on different respective ranges of metadata, the first and second random I/O requests are processed at the same time.

Processing I/O operations in parallel while maintaining read/write consistency using range and priority queues in a data protection system

In one example, a method includes receiving a stream that identifies I/O operations requested to be performed with respect to a data grouping, and identifying, in the stream, random I/O requests and sequential I/O requests. Next, the stream is split into an incoming queue containing the sequential I/O requests and a priority/processing queue containing the random I/O requests. A metadata load queue is then defined by assigning each of the random I/O requests to a respective range of metadata. The metadata of each range is loaded, and the random I/O requests re-queued. Using the loaded metadata, a random I/O operation is performed that corresponds to one of the random I/O requests. Finally, the random I/O operation and a sequential I/O operation are performed concurrently with each other.

Growing community of inventors

Cupertino, CA, United States of America

Sirisha Kaipa