Request aggregation, caching, and forwarding strategies for improving large climate data distribution with NDN
Susmit Shannigrahi, Chengyu Fan, Christos C. Papadopoulos · 2017
Scientific domains such as Climate Science, High Energy Particle Physics (HEP) and others, routinely generate and manage petabytes of data, projected to rise into exabytes [26]. The sheer volume and long life of the data stress IP networking and traditional content distribution networks mechanisms. Thus, each scientific domain typically designs, develops, implements, deploys and maintains its own data management and distribution system, often duplicating functionality. Supporting various incarnations of similar software is wasteful, prone to bugs, and results in an ecosystem of one-off solutions.