A Comprehensive Reasoning Framework for Hardware Refresh in Data Centers

@article{Bashroush2018ACR,
  title={A Comprehensive Reasoning Framework for Hardware Refresh in Data Centers},
  author={Rabih Bashroush},
  journal={IEEE Transactions on Sustainable Computing},
  year={2018},
  volume={3},
  pages={209-220}
}
  • R. Bashroush
  • Published 1 October 2018
  • Computer Science
  • IEEE Transactions on Sustainable Computing
With the increased trend of moving towards the consolidation of computing in larger facilities, and with the rise of paradigms such as Cloud, Smart Cities, and IoT, data centers have been highlighted as a major energy consumer. Yet, data centers exist purely to host IT services, which on average tend to account for the largest part of the overall facility energy consumption. Frequent refresh of IT hardware has emerged as a trend in hyper-scale data centers. However, the wider environmental… Expand
Case Studies for achieving a Return on Investment with a Hardware Refresh in Organizations with Small Data Centers
TLDR
This work provides a comprehensive framework for the energy saving opportunities, while determining when a return on investment can be achieved to enable small data center operators to create credible business cases for hardware refreshes. Expand
Towards Efficient and Scalable Data-Intensive Content Delivery: State-of-the-Art, Issues and Challenges
TLDR
This chapter presents the authors’ work for the Case Study entitled “Delivering Social Media with Scalability” within the framework of High-Performance Modelling and Simulation for Big Data Applications (cHiPSet) COST Action 1406, and describes potential solutions addressing the problems of the area and how these fit in the general ecosystem. Expand
Topology-aware multi-objective virtual machine dynamic consolidation for cloud datacenter
  • Guangyi Cao
  • Computer Science
  • Sustain. Comput. Informatics Syst.
  • 2019
TLDR
A new approach to coordinate datacenter network topology and communication topology is proposed, which adopts a multi-objective genetic algorithm to simultaneously minimize energy consumption and communication traffic causing performance bottlenecks, while meeting SLA constraint on migration time. Expand
Data center growth in the United States: decoupling the demand for services from electricity use
Author(s): Shehabi, A; Smith, SJ; Masanet, E; Koomey, J | Abstract: © 2018 The Author(s). Published by IOP Publishing Ltd. Data centers are energy intensive buildings that have grown in size andExpand
AI-Driven Holistic Approach to Energy Efficient HPC
TLDR
An AI-Driven Holistic Approach to energy and power management in data centres is presented, which can be described as Energy Aware Scheduling (EAS), which uses AI-driven workloads aware software-hardware co-design to optimize energy efficiency of a data centre. Expand
Assessing the suitability of the Greenhouse Gas Protocol for calculation of emissions from public cloud computing workloads
TLDR
This paper demonstrates how the Greenhouse Gas Protocol method of assessment of IT emissions does not work for public cloud environments and suggests how this can be tackled by the cloud vendors themselves. Expand
New perspectives on internet electricity use in 2030
The main problems with several existing Information and Communication Technology (ICT) power footprint investigations are: too limited (geographical and temporal) system boundary, overestimation ofExpand
Prediction Studies of Electricity Use of Global Computing in 2030
The electricity use of the information technology (IT) sector consisting of demand from computing, transmission and production is of large interest. Here a theoretical framework describing how theExpand
High Performance Computing: ISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21–25, 2020, Revised Selected Papers
TLDR
TyCart is a tool for type-safe checkpoint/restart and extends the memory allocation sanitizer tool TypeART with type asserts, which shows runtime and memory overhead below 5% in smaller benchmarks. Expand
High-performance modelling and simulation for big data applications
TLDR
This open access book is the final compendium of case studies emanated from the 4-year COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications” (cHiPSet), set to become a required reference for the fast-changing fields of HPC, Big Data, and Modelling & Simulation. Expand
...
1
2
...

References

SHOWING 1-10 OF 23 REFERENCES
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
TLDR
This study discusses causes and problems of high power/energy consumption, and presents a taxonomy of energy-efficient design of computing systems covering the hardware, operating system, virtualization, and data center levels. Expand
Energy Efficient Utilization of Resources in Cloud Computing Systems
-Abstract the energy consumption of under-utilized resources, particularly in a cloud environment, accounts for a substantial amount of the actual energy use. Inherently, a resource allocationExpand
gUML: Reasoning about Energy at Design Time by Extending UML Deployment Diagrams with Data Centre Contextual Information
TLDR
This paper identifies and map contextual energy information about data centre operations in order to model their power related components and introduces greenUML (gUML), an extension to UML diagrams to improve energy efficiency through energy analysis at design time. Expand
Power usage effectiveness in data centers: overloaded and underachieving
Abstract The power usage effectiveness (PUE) metric has become an industry standard for reporting energy performance of data centers. However, it is an incomplete metric, failing to address hardwareExpand
The design and development of the server efficiency rating tool (SERT)
TLDR
The design and development of the SERT is described, including discussion of the collaborative nature of working with the EPA and the various industry stakeholders involved in the design, review and development process, and thoughts for the future are included. Expand
Measuring energy footprint of software features
TLDR
This paper proposes a novel approach to measure energy consumption at a feature level, cross-cutting multiple functions, classes and systems, and argues the importance of such measurement and the new insight it provides to non-traditional stakeholders such as service providers. Expand
Holistically evaluating the environmental impacts in modern computing systems
TLDR
The analysis of current processor trends indicates that upgrading may require upwards of 10 years of service time to break even, and that designing systems with smaller cache and main memory sizes may provide an overall positive environmental trend without dramatically reducing performance. Expand
A case study and critical assessment in calculating power usage effectiveness for a data centre
Metrics commonly used to assess the energy efficiency of data centres are analysed through performing and critiquing a case study calculation of energy efficiency. Specifically, the metric PowerExpand
Green computing: A life cycle perspective
TLDR
This paper motivates manufacturing as an issue of sustainable computing and demonstrates the manufacturing component of chips plays a significant role in the overall energy consumption of the computer over its life-cycle. Expand
Architectural Principles for Energy-Aware Internet-Scale Applications
TLDR
To address system-level energy efficiency, software architects can follow three simple design principles and a case study illustrates the possible savings. Expand
...
1
2
3
...