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pro vyhledávání: '"Maen M. Al Assaf"'
Autor:
Maen M. Al Assaf
Publikováno v:
International Journal of Advanced Trends in Computer Science and Engineering. 9:4819-4826
Publikováno v:
Journal of Signal Processing Systems. 90:619-640
In this paper, we present an informed prefetching technique called IPODS that makes use of application-disclosed access patterns to prefetch hinted blocks in distributed multi-level storage systems. We develop a prefetching pipeline in IPODS, where a
Publikováno v:
International journal of Computer Networks & Communications. 7:47-58
Autor:
Maen M. Al Assaf
Publikováno v:
International Journal of Communications, Network and System Sciences. :161-180
In this paper, we present a predictive prefetching mechanism that is based on probability graph approach to perform prefetching between different levels in a parallel hybrid storage system. The fundamental concept of our approach is to invoke paralle
Publikováno v:
International Journal of Communications, Network and System Sciences. :181-186
In this paper, we present a comparative study between informed and predictive prefetching mechanisms that were presented to leverage the performance gap between I/O storage systems and CPU. In particular, we will focus on transparent informed prefetc
Autor:
Xiao Qin, Ji Zhang, Meikang Qiu, Maen M. Al Assaf, Mohammed I. Alghamdi, Xunfei Jiang, Xiaojun Ruan
Publikováno v:
Journal of Communications. 9:299-311
An explosive increment of data and a variety of data analysis make it indispensable to lower power and cooling costs of cloud datacenters. To address this issue, we investigate the thermal impact of I/O access patterns on data storage systems. Firstl
Publikováno v:
Journal of Signal Processing Systems. 72:165-180
In this paper, we present an energy-aware informed prefetching technique called Eco-Storage that makes use of the application-disclosed access patterns to group the informed prefetching process in a hybrid storage system (e.g., hard disk drive and so
Autor:
Ji Zhang, Yun Tian, Mohammed I. Alghamdi, Xiao Qin, Maen M. Al Assaf, Xunfei Jiang, Meikang Qiu
Publikováno v:
IPCCC
This paper presents an offloading framework — ORCA — to map I/O-intensive code to a cluster that consists of computing and storage nodes. To reduce data transmission among computing and storage nodes. our offloading framework partitions and sched
Autor:
Xiaojun Ruan, Xunfei Jiang, Maen M. Al Assaf, Tausif Muzaffar, Ji Zhang, Mohammed I. Alghamdi, Xiao Qin
Publikováno v:
IPCCC
Recognizing that power and cooling cost for data centers are increasing, we address in this study the thermal impact of storage systems. In the first phase of this work, we generate the thermal profile of a storage server containing three hard disks.
Publikováno v:
NCA
In this paper, we present an informed prefetching technique called IPODS that makes use of application-disclosed access patterns to prefetch hinted blocks in distributed multi-level storage systems. We develop a prefetching pipeline in IPODS, where a