Thermal Modeling of Hybrid Storage Clusters

نویسندگان

  • Xunfei Jiang
  • Maen M. Al Assaf
  • Ji Zhang
  • Mohammed I. Alghamdi
  • Xiaojun Ruan
  • Tausif Muzaffar
  • Xiao Qin
چکیده

There is a lack of thermal models for storage clusters; most existing thermal models do not take into account the utilization of hard drives (HDDs) and solid state disks (SSDs). To address this problem, we build a thermal model for hybrid storage clusters that are comprised of HDDs and SSDs. We start this study by generating the thermal profiles of hard drives and solid state disks. The profiling results show that both HDDs and SSDs have profound impacts on temperatures of storage nodes in a cluster. Next, we build two types of hybrid storage clusters, namely, X. Jiang ( ) · J. Zhang · T. Muzaffar · X. Qin Department of Computer Science and Software Engineering, Auburn University, Auburn, AL 36849-5347, USA e-mail: [email protected] J. Zhang e-mail: [email protected] T. Muzaffar e-mail: [email protected] X. Qin e-mail: [email protected] M. M. Al Assaf King Abdullah II School for Information Technology, The University of Jordan, Amman, Jordan e-mail: m [email protected] M. I. Alghamdi Department of Computer Science, Al-Baha University, Al-Baha City, Kingdom of Saudi Arabia e-mail: [email protected] X. Ruan Department of Computer Science, West Chester University of Pennsylvania, West Chester, PA 19383, USA e-mail: [email protected] inter-node and intra-node hybrid storage clusters. We develop a model to estimate the cooling cost of a storage cluster equipped with hybrid storage nodes. The thermal model is validated against data acquired by temperature sensors. Experimental results show that, compared to the HDD-first strategy, the SSD-first strategy is an efficient approach to minimize negative thermal impacts of hybrid

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عنوان ژورنال:
  • Signal Processing Systems

دوره 72  شماره 

صفحات  -

تاریخ انتشار 2013