Research on capacity aggregating and full concurrency access method in RAID50
Xiaoli Li
Abstract
Xiaoli Li
Abstract
Based on multiple RAID controllers system,this paper presents a RAID50 massive storage model.First,build hardware RAID5s of the same type on every single RAID controller,all of which have the same disk type and disk number.Secondly,regard each RAID5 as a single disk,and combine them to be a RAID50 by using software.By adopting a two level concurrency data partioning and placing method and set extended data block,which equals to a data parity group of RAID5 in a RAID controller,as the transmission granularity between Cache and RAID system,this paper carries out the full concurrency access of the m*n disks of RAID system.The two level address mapping algorithm and the best-fit algorithm of logic volume management are designed.The theoretical analysis and test results show that the method has reduced the I/O response time of the system greatly and obtained massive logic volume capacity and I/O performance which are related to the number of channels.
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Based on multiple RAID controllers system,this paper presents a RAID50 massive storage model.First,build hardware RAID5s of the same type on every single RAID controller,all of which have the same disk type and disk number.Secondly,regard each RAID5 as a single disk,and combine them to be a RAID50 by using software.By adopting a two level concurrency data partioning and placing method and set extended data block,which equals to a data parity group of RAID5 in a RAID controller,as the transmission granularity between Cache and RAID system,this paper carries out the full concurrency access of the m*n disks of RAID system.The two level address mapping algorithm and the best-fit algorithm of logic volume management are designed.The theoretical analysis and test results show that the method has reduced the I/O response time of the system greatly and obtained massive logic volume capacity and I/O performance which are related to the number of channels.
Key concepts: RAID, Computer science, Parallel computing, Concurrency, Concurrency control, Cache, Operating system, Distributed computing