Ca2+ release through ryanodine receptors (RyRs) plays an important role in excitation-contraction coupling in heart and smooth muscle. FKBP12.6 proteins
By moving computations from computing nodes to storage nodes, active storage technology provides an efficient for data-intensive high-performance computing applications. The existing studies have neglected the heterog...By moving computations from computing nodes to storage nodes, active storage technology provides an efficient for data-intensive high-performance computing applications. The existing studies have neglected the heterogeneity of storage nodes on the performance of active storage systems. We introduce CADP, a capability-aware data placement scheme for heterogeneous active storage systems to obtain high-performance data processing. The basic idea of CADP is to place data on storage nodes based on their computing capability and storage capability, so that the load-imbalance among heterogeneous servers can be avoided. We have implemented CADP under a parallel I/O system. The experimental results show that the proposed capability-aware data placement scheme can improve the active storage system performance significantly.展开更多
文摘Ca2+ release through ryanodine receptors (RyRs) plays an important role in excitation-contraction coupling in heart and smooth muscle. FKBP12.6 proteins
基金Supported by the National Science and Technology Foundation of China(61572377)the Natural Science Foundation of Hubei Province(2014CFB239)+2 种基金the Open Fund from HPCL(201512-02)the Open Fund from SKLSE(2015-A-06)the US National Science Foundation(CNS-1162540)
文摘By moving computations from computing nodes to storage nodes, active storage technology provides an efficient for data-intensive high-performance computing applications. The existing studies have neglected the heterogeneity of storage nodes on the performance of active storage systems. We introduce CADP, a capability-aware data placement scheme for heterogeneous active storage systems to obtain high-performance data processing. The basic idea of CADP is to place data on storage nodes based on their computing capability and storage capability, so that the load-imbalance among heterogeneous servers can be avoided. We have implemented CADP under a parallel I/O system. The experimental results show that the proposed capability-aware data placement scheme can improve the active storage system performance significantly.
