Samrat Aich Revolutionizes Enterprise Data Transfers with New Method

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Transferring large volumes of data efficiently and swiftly is a frequent challenge in enterprise data management. Samrat Aich, with nearly two decades of IT experience, has tackled this issue by developing a method that improves data transfer speeds and sets new benchmarks for enterprise storage solutions.

Overcoming the Challenges of Legacy Storage Systems

Legacy storage systems have long been problematic for enterprise IT teams, plagued by slow transfer speeds, inefficient resource utilization, and limited scalability as data volumes grow. These issues have hampered productivity and driven up costs, with maintenance often being both expensive and labor-intensive.

"Prioritizing fast and efficient data transfers has been critical," says Aich. His new method simplifies operations and reduces the strain on IT departments by utilizing data migration tools along with proxies (WAN Accelerators) at both source and destination data centers. This approach, which departs from conventional methods, has resulted in significantly faster data transfers, especially over wide area networks (WANs), which frequently suffer from latency and bandwidth constraints that act as bottlenecks. The use of proxies optimizes this process, allowing for faster and smoother data movement between distant locations.

In one project, Aich's team exceeded their expectations by achieving exceptional transfer speeds between data centers in Texas and California, demonstrating the method's effectiveness and its potential to enhance enterprise data management. This approach, which utilizes standard data migration tools alongside proxies at the source data center, enables enterprises to more easily migrate, back up critical data, and maintain operations during large-scale transfers. Rather than expanding bandwidth, the focus is on optimizing the existing capacity to improve data replication between two distant storage platforms using the same available bandwidth.

Optimizing Data Transfers with WAN Accelerators

In cross-site replication over WAN, data is transferred in 64K packets, each requiring successful transfer and acknowledgment before the next is sent. For large datasets, this process introduces significant latency, slowing the overall transfer. Aich's method addresses this by deploying WAN accelerators at both locations. As illustrated in accompanying diagrams, WAN accelerators significantly improve transfer rates by compressing data at the source. This compression effectively doubles the speed and reduces round-trip times by minimizing data size, saving space, bandwidth, and transmission time.

Modern replication tools operate through clusters of clients and servers. While the clients handle the bulk of the replication, the server distributes workloads across different storage vendors. By adding additional clients as proxies behind WAN accelerators at both the source and destination, speed is enhanced, and errors are minimized. Some advanced tools have built-in WAN accelerators, which, if properly configured, can perform well without additional hardware. However, for optimal performance, replication clusters should be deployed at both the source and destination rather than only at the target location.

Testing the Method

To validate this methodology, a test was conducted comparing data replication between a source and a target over a long distance. The test involved implementing replication tool clients or proxies behind WAN accelerators at the source and some clients at the target, working as a single cluster.

During data transfers, compression occurs along the WAN path and automatically decompresses at the target, freeing up space for other packets and reducing the overall time required for large data transfers.

The test included two scenarios:

1. Data replication from the source data center using the replication tool cluster at the target location.

2. Data replication with additional clients or proxies deployed at the source data center.

The test used the following data types:

• A 93 MB video file (.mp4).

• A folder containing system files, totaling 766 MB.

• A 120 MB zip file made from office files.

• A 310 MB zip file created from a collection of images.

These tests demonstrated the effectiveness of Aich’s method in improving data transfer speeds across WANs, making it a valuable solution for enterprises dealing with large-scale data management.

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