Developing Cost-Effective Data Rescue Schemes to Tackle Disk Failures in Data Centers

2018 ◽  
pp. 194-208
Author(s):  
Zhi Qiao ◽  
Jacob Hochstetler ◽  
Shuwen Liang ◽  
Song Fu ◽  
Hsing-bung Chen ◽  
...  
Keyword(s):  
Data Centers ◽  
Cost Effective ◽  
Disk Failures

Minimization of Energy Using Heuristic Resource Allocation and Migration for Cloud Computing

2021 ◽  
Vol 12 (1) ◽  
pp. 74-83
Author(s):  
Manjunatha S. ◽  
Suresh L.
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Large Scale ◽  
Data Centers ◽  
Service Providers ◽  
Cost Effective ◽  
Cooling Systems ◽  
Operational Costs ◽  
Cloud Computing Service ◽  
And Migration

Data center is a cost-effective infrastructure for storing large volumes of data and hosting large-scale service applications. Cloud computing service providers are rapidly deploying data centers across the world with a huge number of servers and switches. These data centers consume significant amounts of energy, contributing to high operational costs. Thus, optimizing the energy consumption of servers and networks in data centers can reduce operational costs. In a data center, power consumption is mainly due to servers, networking devices, and cooling systems, and an effective energy-saving strategy is to consolidate the computation and communication into a smaller number of servers and network devices and then power off as many unneeded servers and network devices as possible.

Understanding the True Total Cost of Ownership of Water Cooling for Data Centers

2015 ◽  
Author(s):  
Dustin W. Demetriou ◽  
Vinod Kamath ◽  
Howard Mahaney
Keyword(s):  
Data Center ◽  
Data Centers ◽  
Heat Dissipation ◽  
Cost Effective ◽  
Electric Utility ◽  
Air Cooling ◽  
Water Cooling ◽  
Total Cost Of Ownership ◽  
Total Cost ◽  
Cost Of Ownership

The generation-to-generation IT performance and density demands continue to drive innovation in data center cooling technologies. For many applications, the ability to efficiently deliver cooling via traditional chilled air cooling approaches has become inadequate. Water cooling has been used in data centers for more than 50 years to improve heat dissipation, boost performance and increase efficiency. While water cooling can undoubtedly have a higher initial capital cost, water cooling can be very cost effective when looking at the true lifecycle cost of a water cooled data center. This study aims at addressing how one should evaluate the true total cost of ownership for water cooled data centers by considering the combined capital and operational cost for both the IT systems and the data center facility. It compares several metrics, including return-on-investment for three cooling technologies: traditional air cooling, rack-level cooling using rear door heat exchangers and direct water cooling via cold plates. The results highlight several important variables, namely, IT power, data center location, site electric utility cost, and construction costs and how each of these influence the total cost of ownership of water cooling. The study further looks at implementing water cooling as part of a new data center construction project versus a retrofit or upgrade into an existing data center facility.

scholarly journals Towards Cost Effective Data Centers

2012 ◽  
Vol 3 (2) ◽  
pp. 105-117
Author(s):  
Ajay Ahuja ◽  
Vinayshil Gautam
Keyword(s):  
Organizational Effectiveness ◽  
Data Centers ◽  
Research Study ◽  
Cost Effective ◽  
Total Cost Of Ownership ◽  
Total Cost ◽  
Cost Of Ownership ◽  
Critical Measure ◽  
Effective Delivery ◽  
It Organization

Data Centers are sub organizations within an IT organization and form an integral part of e-enabled services infrastructure. Their effectiveness is essential for effectiveness of overall IT organization leading to efficient and effective delivery of e-services. Data Center organizations aim for Organizational Effectiveness. Many factors and measures can contribute to Organizational Effectiveness of Data Centers. This paper presents some of the findings from a research study on “Select aspects of Organizational Effectiveness of Data Centers”. As an outcome of this study, amongst other measures, Total Cost of Ownership (TCO) was derived as a critical measure for effective Data Centers. Lower TCO leads to cost effective Data Centers, leading to overall effectiveness. In this paper, we briefly introduce various measures of Data Centers’ Organizational Effectiveness and present a detailed analysis of Total Cost of Ownership (TCO) as a key measure of Data Centers’ Organizational Effectiveness. We also present various factors contributing to reduced TCO and a comparison between the factors contributing to TCO for Government and Corporate Data Centers.

A new cost-effective mechanism for VM-to-user mapping in cloud data centers

2019 ◽  
Vol 23 (4) ◽  
pp. 2425-2451
Author(s):  
Sepideh Adabi ◽  
Zahra Hossein-Haje ◽  
Sahar Adabi
Keyword(s):  
Data Centers ◽  
Cost Effective ◽  
Effective Mechanism ◽  
Cloud Data ◽  
Cloud Data Centers

Performance Evaluation of Cloud Systems by Switching the Virtual Machines Power Mode Between the Sleep Mode and Active Mode

2020 ◽  
pp. 145-168
Author(s):  
Sudhansu Shekhar Patra ◽  
Veena Goswami ◽  
G. B. Mund
Keyword(s):  
Large Scale ◽  
Data Centers ◽  
Energy Savings ◽  
Virtual Machines ◽  
Service Providers ◽  
Cost Effective ◽  
Threshold Level ◽  
Sleep Mode ◽  
Proposed Model ◽  
Power Mode

Data centers are cost-effective infrastructures for storing large volumes of data and hosting large scale service applications. Cloud computing service providers are rapidly deploying data centers across the world with a huge number of servers and switches. These data centers consume significant amounts of energy, contributing to high operational costs. In this chapter, we study energy savings of data centers by consolidation and switching off of those virtual machines which are not in use. According to this policy, c virtual machines continue serving the customer until the number of idle servers attains the threshold level d; then d idle servers take synchronous vacation simultaneously, otherwise these servers begin serving the customers. Numerical results are provided to demonstrate the applicability of the proposed model for the data center management in particular, to quantify theoretically the tradeoff between the conflicting aims of energy efficiency and Quality of Service (QoS) requirements specified by cloud tenants.

On Achieving Cost-Effective Adaptive Cloud Gaming in Geo-Distributed Data Centers

2015 ◽  
Vol 25 (12) ◽  
pp. 2064-2077 ◽  
Author(s):  
Hao Tian ◽  
Di Wu ◽  
Jian He ◽  
Yuedong Xu ◽  
Min Chen
Keyword(s):  
Data Centers ◽  
Cost Effective ◽  
Distributed Data
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