Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It is inevitable to scale RAID systems with the increasing demand of storage capacity and I/O throughput. When scaling RAID systems,  will always need to update parity to maintain the reliability of the storage systems. There are two schemes, read-modify-write (RMW) and read-reconstruct-write (RCW), to update parity. Hover most existing scaling approaches simply use RMW to update parity. While in many scenarios for existing scaling approaches, RCW performs better in terms of the number of scaling I/Os. ,  propose an algorithm, called EPU, to analyze which of RCW and RMW is better for a scaling scenario and select the more efficient one to save the scaling I/Os.  apply EPU to online scaling scenarios and further use two optimizations, I/O overlap and access aggregation, to enhance the online scaling performance. Using Scale-CRS, one of the existing scaling approaches, as an example,  show via numerical studies that Scale-CRS+EPU reduces the amount of scaling I/Os over the traditional Scale-CRS in many scaling cases. To justify the online efficiency of EPU,  implement both Scale-CRS+EPU and Scale-CRS in a simulator with Disksim as a working module. Through extensive experiments,  show that Scale-CRS+EPU reduces the scaling time and the online response time of user requests over Scale-CRS.
['Dongdong Sun', 'Yinlong Xu', 'Yongkun Li', 'Si Wu', 'Chengjin Tian']
I am writing a research paper on a idea Efficient Parity Update for Scaling RAID-like Storage Systems
[{"from": "human", "value": "I am writing a research paper on a idea Efficient Parity Update for Scaling RAID-like Storage Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It is inevitable to scale RAID systems with the increasing demand of storage capacity and I/O throughput. When scaling RAID systems,  will always need to update parity to maintain the reliability of the storage systems. There are two schemes, read-modify-write (RMW) and read-reconstruct-write (RCW), to update parity. Hover most existing scaling approaches simply use RMW to update parity. While in many scenarios for existing scaling approaches, RCW performs better in terms of the number of scaling I/Os. ,  propose an algorithm, called EPU, to analyze which of RCW and RMW is better for a scaling scenario and select the more efficient one to save the scaling I/Os.  apply EPU to online scaling scenarios and further use two optimizations, I/O overlap and access aggregation, to enhance the online scaling performance. Using Scale-CRS, one of the existing scaling approaches, as an example,  show via numerical studies that Scale-CRS+EPU reduces the amount of scaling I/Os over the traditional Scale-CRS in many scaling cases. To justify the online efficiency of EPU,  implement both Scale-CRS+EPU and Scale-CRS in a simulator with Disksim as a working module. Through extensive experiments,  show that Scale-CRS+EPU reduces the scaling time and the online response time of user requests over Scale-CRS."}]