Abstract: Disclosed is a method and system to provide seamless data placement, data movement, and data management into the cloud. The system includes a processor; and a memory. The memory stores machine-readable instructions that when executed by the processor cause the processor to extend the local data fabric and the services to the cloud providers by utilizing a cloud abstraction layer module. The cloud providers act as remote endpoints configured with a source unit. The process is further configured to implement a data migration in which a data migration module migrates data from the source unit to the cloud providers, and performs a plurality of management activities through an interaction between a control plane and a management module. Then the processor is configured to create a cloud tenant in the source unit to map the cloud providers.

Abstract: Disclosed is a method and system to provide seamless data placement, data movement, and data management into the cloud. The system includes a processor; and a memory. The memory stores machine-readable instructions that when executed by the processor cause the processor to extend the local data fabric and the services to the cloud providers by utilizing a cloud abstraction layer module. The cloud providers act as remote endpoints configured with a source unit. The process is further configured to implement a data migration in which a data migration module migrates data from the source unit to the cloud providers, and performs a plurality of management activities through an interaction between a control plane and a management module. Then the processor is configured to create a cloud tenant in the source unit to map the cloud providers.

Abstract: Disclosed are a method and device in a network for utilizing larger block sizes for a logical disk, and further decomposing into smaller physical block sizes for a redundant encoding by utilizing an erasure coding logic to avoid a read?modify?write operation on a plurality of write operations. The device includes a receiving module, an encoding module, and a transmitting module. The receiving module configured to obtain a read request or a write request of a large block size to a storage unit over a network. In an embodiment, the storage unit comprising a plurality of physical devices of a smaller blocks size that is a divisor of the large block size. The encoding module to encode the received requests redundantly to persist media failures by reconstructing the requests on reads using the redundancy. The transmitting module transmits either a request command to initiate a read operation or an acknowledgment data on completion of a write operation.

Abstract: The present disclosure relates to device in a network. The device includes an obtaining module, a storage module, and a determination module. The obtaining module is configured to obtain topology information associated with one or more nodes available in a network. The storage module is configured to store the topology information obtained along with meta-information associated with the topology information, if any. The determination module is configured to determine placement of at least storage resources on at least one node selected from the one or more nodes based on the topology information and the meta-information.

Abstract: The present invention provides a system and method that improves efficiency and resilience of the communications between clients and nodes, and between the nodes of a distributed, scale-out storage system by participating in the topology of an L3 network. The present disclosure relates to a device in a network. The receiving module is configured to receive information associated with the storage endpoints advertised by nodes of the network, wherein the information is an IP address associated with the storage endpoints or removal and/or updation of the IP address of the storage endpoints. The update module is configured to summarize or re-advertise the information received from the one or more nodes, and advertise the summarized or re-advertised information to all nodes of the network to be utilized by the one or more nodes to achieve communication between the node and the storage endpoint based on the summarized or re-advertised information.

Abstract: The present disclosure relates to device in a network. The device includes an obtaining module, a storage module, and a determination module. The obtaining module is configured to obtain topology information associated with one or more nodes available in a network. The storage module is configured to store the topology information obtained along with meta-information associated with the topology information, if any. The determination module is configured to determine placement of at least storage resources on at least one node selected from the one or more nodes based on the topology information and the meta-information.

Abstract: The present invention is mainly to solve the technical problems of the prior art existed. The present invention relates to compression, in particular to an improved real-time adaptive data compression for efficient data storage. An aspect of present disclosure relates to a method for managing data storage in a data storage system. The method includes the steps of determining, by a processor of said data storage system, receipt of one or more blocks of data for storage; identifying, by the processor, a compression technique for storage of said one or more blocks of data; and compressing in-line or post processing, by the processor, if said compression technique is an in-line compression technique for writing the data in a memory, said one or more blocks of data based at least on a resources utilization of said data storage system.