For that we need research to obtain data - data that is requirsed by way of observations of drivers and parking attendants. Pull traffic that occurs in complex Paragon Mall affect parking demand in these locations. The tradeoff betweengenerality and efficiency should be considered in implementation. The scalability and performance of SIO arelimited by the network latency, network scalable bandwidth, memory copybandwidth, memory size and pattern of I/O requests. The SIO features help to support high levelinterfaces easily, quickly and more efficiently, and the cache,prefetching, hints are useful to get better performance based ondifferent access models. The performance of PFS is at least thesame as that of Intel's native PFS, and in many cases, such as smallsequential file access, huge I/O requests and collective I/O, it isstable and much better. Some high level file system interfaces andapplications, such as PFS, ADIO and Hartree-Fock application, are alsoimplemented on top of SIO. The preliminary experience shows that theSIO LLAPI provides opportunities of significant performance improvementand is easy to implement. The scatter-gather addressingread/write, asynchronous I/O, client caching and prefetching mechanism,file access hint mechanism, collective I/O and highly efficient filecopy have been implemented. The implementation providesthe file system structure and striping algorithm compatible with theParallel File System (PFS) of Intel Paragon, and runs either inside thekernel or as a user level library. Thispaper describes a reference implementation and the evaluation of the SIOLLAPI on the Intel Paragon multicomputer. The Scalable I/O (SIO) Initiative'sLow-Level Application Programming Interface (SIO LLAPI) provides filesystem implementers with a simple low-Level interface to supporthigh-level parallel I/O interfaces efficiently and effectively.