Transporting big data over long distances takes too long and costs too much. The current approaches to data transport are expensive, only work over short distances, and produce sub-par throughput.
Typical Solution: Transport the data using traditional delivery methods (portable drives, trucks, planes)
Problem With Solution: Expensive, slow delivery and retrieval, many failure points during transfer, security issues
Typical Solution: Use readily-available TCP/IP links that are cheaper than “dark fiber” to connect locally or globally
Problem With Solution: TCP/IP wasn’t built for long distance data transfer, a few milliseconds of TCP/IP latency (the time to receive a network response) creates dramatic performance degradation, first-generation solutions optimized the wide-area network by changing the data but unstructured data, like medical images, GIS, and high-definition video, cannot be compressed
Typical solution: Use “dark fiber” telecommunications links to improve data transport
Problem With Solution: Very expensive, not available outside of select urban areas, transfers between cities creates hand-offs between carriers, bigger pipes are less efficient than smaller pipes (high latency causes a 1Gb/second link to demonstrate a lower utilization percentage than a 10Mb/second link)