An Energy-Efficient and Reliable Storage Mechanism for Data-Intensive Academic Archive Systems

Abstract

Previous studies proposed energy-efficient solutions, such as multispeed disks and disk spin-down methods, to conserve power in their respective storage systems. However, in most cases, the authors did not analyze the reliability of their solutions. According to research conducted by Google and the IDEMA standard, frequently setting the disk status to standby mode will increase the disk's Annual Failure Rate and reduce its lifespan. To resolve the issue, we propose an evaluation function called E 3 SaRC (Economic Evaluation of Energy Saving with Reliability Constraint), which considers the cost of hardware failure when applying energysaving schemes. We also present an adaptive write cache mechanism called CacheRAID. The mechanism tries to mitigate the random access problems that implicitly exist in RAID techniques and thereby reduce the energy consumption of RAID disks. CacheRAID also addresses the issue of system reliability by applying a control mechanism to the spin-down algorithm. Our experimental results show that the CacheRAID storage system can reduce the power consumption of the conventional software RAID 5 system by 65% to 80%. Moreover, according to the E 3 SaRC measurement, the overall saved cost of CacheRAID is the largest among the systems that we compared.

University archives: the research road travelled and the one ahead

“…Sequentially, the authors adopt the Apriori algorithm (a classical algorithm in data mining) to identify possible intercorrelations among the retrieved data set of documents. Another application of artificial intelligence in UA is presented in the study of Chen et al (2015). They proposed an algorithm that, when deployed in archival storage systems, can reduce the computational resources needs for power consumption from 65% up to 80%.…”

A study of suitable fault tolerance frameworks for an energy-efficient storage system

“…To prevent data loss, we set the parameter, R, to 5%. [24], the energy-efficient scheme can conserve more power consumption than others. For example, MAID without the reliability constraint can save more power consumption than MAID with other fault tolerance mechanisms.…”

“…Additionally, this study used a economic evaluation, which takes into consideration the cost of hardware failure in applying energy saving schemes, proposed by Chen et al [24].…”

“…Based on the earlier work [24], Chen et al proposed a evaluation model to convert the problem of finding an energy-efficient system design to a monetary maximization problem. The evaluation model is shown as follows.…”

“…It also surveys some new or classical energy-efficient schemes for storage systems and many fault tolerance mechanisms that can be used for this method. Additionally, this study uses a evaluation model proposed in [24] to judge whether their energy efficiency scheme is sufficient for the storage system. The remainder of this paper is organized as follows.…”