A Novel Reliability Index to Assess the Computational Resource Adequacy in Data Centers Article Swipe
Kazi Main Uddin Ahmed
,
Manuel Alvarez
,
Math Bollen
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1109/access.2021.3070915
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1109/access.2021.3070915
The energy demand of data centers is increasing globally with the increasing demand for computational resources to ensure the quality of services. It is important to quantify the required resources to comply with the computational workloads at the rack-level. In this paper, a novel reliability index called loss of workload probability is presented to quantify the rack-level computational resource adequacy. The index defines the right-sizing of the rack-level computational resources that comply with the computational workloads, and the desired reliability level of the data center investor. The outage probability of the power supply units and the workload duration curve of servers are analyzed to define the loss of workload probability. The workload duration curve of the rack, hence, the power consumption of the servers is modeled as a function of server workloads. The server workloads are taken from a publicly available data set published by Google. The power consumption models of the major components of the internal power supply system are also presented which shows the power loss of the power distribution unit is the highest compared to the other components in the internal power supply system. The proposed reliability index and the power loss analysis could be used for rack-level computational resources expansion planning and ensures energy-efficient operation of the data center.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2021.3070915
- https://ieeexplore.ieee.org/ielx7/6287639/9312710/09395100.pdf
- OA Status
- gold
- Cited By
- 10
- References
- 55
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3148517897Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2021.3070915Digital Object Identifier
- Title
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A Novel Reliability Index to Assess the Computational Resource Adequacy in Data CentersWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-01-01Full publication date if available
- Authors
-
Kazi Main Uddin Ahmed, Manuel Alvarez, Math BollenList of authors in order
- Landing page
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https://doi.org/10.1109/access.2021.3070915Publisher landing page
- PDF URL
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https://ieeexplore.ieee.org/ielx7/6287639/9312710/09395100.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/6287639/9312710/09395100.pdfDirect OA link when available
- Concepts
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Workload, Data center, Computer science, Reliability engineering, Server, Reliability (semiconductor), Rack, Energy consumption, Power (physics), Real-time computing, Computer network, Engineering, Operating system, Electrical engineering, Mechanical engineering, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2023: 4, 2022: 3, 2021: 2Per-year citation counts (last 5 years)
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55Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W6749243824, https://openalex.org/W2141401705, https://openalex.org/W2988421704, https://openalex.org/W6785960574, https://openalex.org/W6686190542, https://openalex.org/W2129542763, https://openalex.org/W6661822539, https://openalex.org/W1984807636, https://openalex.org/W3015015599, https://openalex.org/W2903153623, https://openalex.org/W2934609880, https://openalex.org/W2136510202, https://openalex.org/W4214894150, https://openalex.org/W2906832930, https://openalex.org/W2970714461, https://openalex.org/W3009201882, https://openalex.org/W2899367533, https://openalex.org/W1998234836, https://openalex.org/W1993734353, https://openalex.org/W2148459868, https://openalex.org/W3113288818, https://openalex.org/W3111771179, https://openalex.org/W2063317058, https://openalex.org/W2120881346, https://openalex.org/W2886870596, https://openalex.org/W2041333587, https://openalex.org/W2053670104, https://openalex.org/W2810158549, https://openalex.org/W1988553127, https://openalex.org/W3010700412, https://openalex.org/W2989726567, https://openalex.org/W3124257134, https://openalex.org/W3011763394, https://openalex.org/W4254943404, https://openalex.org/W2288748300, https://openalex.org/W2809197406, https://openalex.org/W4244397300, https://openalex.org/W2483144311, https://openalex.org/W2890094259, https://openalex.org/W2939929106, https://openalex.org/W2018818917, https://openalex.org/W6771489851, https://openalex.org/W3126237795, https://openalex.org/W2736578080, https://openalex.org/W3034803844, https://openalex.org/W3099485568, https://openalex.org/W2794108583, https://openalex.org/W643756979, https://openalex.org/W22021617, https://openalex.org/W2064359039, https://openalex.org/W2995955137, https://openalex.org/W2182419557, https://openalex.org/W4376103568, https://openalex.org/W2991193242, https://openalex.org/W2045274643 |
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