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Analysis of institutional authors

Fan, WenjunAuthor

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June 9, 2019
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Priori information and sliding window based prediction algorithm for energy-efficient storage systems in cloud

Publicated to: SIMULATION MODELLING PRACTICE AND THEORY. 39 3-19 - 2013-12-01 39(), DOI: 10.1016/j.simpat.2013.06.002

Authors:

Du, ZH; Fan, WJ; Chai, YP; Chen, YN
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Affiliations

Arizona State Univ, Sch Comp Informat & Decis Syst Eng - Author
Renmin Univ China, Sch Informat, Minist Educ, Key Lab Data Engn & Knowledge Engn - Author
Tsinghua Univ, Tsinghua Natl Lab Informat Sci & Technol, Dept Comp Sci & Technol - Author
Univ Politecn Madrid, Dept Ingn Sistemas Telemat - Author
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Abstract

One of the major challenges in cloud computing and data centers is the energy conservation and emission reduction. Accurate prediction algorithms are essential for building energy efficient storage systems in cloud computing. In this paper, we first propose a Three-State Disk Model (3SDM), which can describe the service quality and energy consumption states of a storage system accurately. Based on this model, we develop a method for achieving energy conservation without losing quality by skewing the workload among the disks to transmit the disk states of a storage system. The efficiency of this method is highly dependent on the accuracy of the information predicting the blocks to be accessed and the blocks not be accessed in the near future. We develop a priori information and sliding window based prediction (PISWP) algorithm by taking advantage of the priori information about human behavior and selecting suitable size of sliding window. The PISWP method targets at streaming media applications, but we also check its efficiency on other two applications, news in webpage and new tool released. Disksim, an established storage system simulator, is applied in our experiments to verify the effect of our method for various users' traces. The results show that this prediction method can bring a high degree energy saving for storage systems in cloud computing environment. 2013 Elsevier B.V. All rights reserved.
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Keywords

Conventional diskEnergy conservationEnergy-efficient cloud computingPrediction algorithm

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal SIMULATION MODELLING PRACTICE AND THEORY due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2013, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Hardware and Architecture. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-25:

  • WoS: 4
  • Scopus: 4
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 37 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/45394/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 441
  • Downloads: 385
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: China; United States of America.

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Awards linked to the item

This research is supported in part by the National Natural Science Foundation of China (Nos. 61272087, 61202115, 61073008, 60773148 and 60503039) and Beijing Natural Science Foundation (Nos. 4082016 and 4122039).
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