Performance Models of Access Latency in Cloud Storage Systems

Performance Models of Access Latency in Cloud Storage Systems
Prof. Victor Li
October 5, 2022
Research

Access latency is a key performance metric for cloud storage systems and has great impact on user experience, but most papers focus on other performance metrics such as storage overhead, repair cost and so on. Only recently do some models argue that coding can reduce access latency. However, they are developed for special scenarios, which may not reflect reality. To fill the gaps between existing work and practice, in this paper, we propose a more practical model to measure access latency. This model can also be used to compare access latency of different codes used by different companies. To the best of our knowledge, this model is the first to provide a general method to compare access latencies of different erasure codes.

Performance Models of Access Latency in Cloud Storage Systems

S.B. (1977), S.M. (1979), E.E. (1980), Sc.D. (1981), EECS, MIT. Chair Professor in Information Engineering, HKU. Fellow of IEEE, HKIE, IAE, and HK Academy of Engineering Sciences. Awardee of the Bronze Bauhinia Star, Government of HKSAR.