Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: On Flash-based solid-state disks (SSDs), different I/O operations (reads vs. writes, operations of different sizes) incur substantially different resource usage. This presents challenges for fair resource management in multi-programmed computer systems and multitenant cloud systems. Existing timeslice-based I/O schedulers achieve fairness at the cost of poor responsiveness, particularly when a large number of tasks compete for I/O simultaneously. At the same time, the diminished benefits of I/O spatial proximity on SSDs motivate fine-grained fair queueing approaches that do not enforce task-specific timeslices.  develops a new Flash I/O scheduler called FlashFQ. It enhances the start-time fair queueing schedulers with throttled dispatch to exploit restricted Flash I/O parallelism without losing fairness. It also employs I/O anticipation to minimize fairness violation due to deceptive idleness.  implemented FlashFQ in Linux and compared it with several existing I/O schedulers--Linux CFQ [2], an Argon [19]-inspired quanta scheduler, FIOS timeslice scheduler [17], FIOS with short timeslices, and 4-Tag SFQ(D) [11]. Results on synthetic I/O benchmarks, the Apache b server, and Kyoto Cabinet key-value store demonstrate that only FlashFQ can achieve both fairness and high responsiveness on Flash-based SSDs.
['Kai Shen', 'Stan Park']
I am writing a research paper on a idea FlashFQ: a fair queueing I/O scheduler for flash-based SSDs
[{"from": "human", "value": "I am writing a research paper on a idea FlashFQ: a fair queueing I/O scheduler for flash-based SSDs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: On Flash-based solid-state disks (SSDs), different I/O operations (reads vs. writes, operations of different sizes) incur substantially different resource usage. This presents challenges for fair resource management in multi-programmed computer systems and multitenant cloud systems. Existing timeslice-based I/O schedulers achieve fairness at the cost of poor responsiveness, particularly when a large number of tasks compete for I/O simultaneously. At the same time, the diminished benefits of I/O spatial proximity on SSDs motivate fine-grained fair queueing approaches that do not enforce task-specific timeslices.  develops a new Flash I/O scheduler called FlashFQ. It enhances the start-time fair queueing schedulers with throttled dispatch to exploit restricted Flash I/O parallelism without losing fairness. It also employs I/O anticipation to minimize fairness violation due to deceptive idleness.  implemented FlashFQ in Linux and compared it with several existing I/O schedulers--Linux CFQ [2], an Argon [19]-inspired quanta scheduler, FIOS timeslice scheduler [17], FIOS with short timeslices, and 4-Tag SFQ(D) [11]. Results on synthetic I/O benchmarks, the Apache b server, and Kyoto Cabinet key-value store demonstrate that only FlashFQ can achieve both fairness and high responsiveness on Flash-based SSDs."}]