Hierarchical Power Management Model and Analysis in Data Center

Power provision is coming to be the most important constraint to data center development, how to efficiently manage power consumption according to the loads of the data center is urgent. In this paper, we provide the Request-Response Hierarchical Power Management (RRHPM) model for data center, and based on queuing theory, analyse the performance and constraints of two strategies hierarchical structure implement of RRHPM. Numerical results show that the Equal Utilization Strategy has less average response time, can manage more service nodes with the same response time threshold, and require less power management nodes than popular Equal Degree Strategy.

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Fault-Tolerance of Hierarchical Power Management in Data Center

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.336-338.2555 ◽

2013 ◽

Vol 336-338 ◽

pp. 2555-2558

Author(s):

Jian Xiang Li ◽

Yi Nan Lv ◽

Xiang Zhen Kong

Keyword(s):

Fault Tolerance ◽

Power Management ◽

Data Center ◽

Current Data ◽

Management Model ◽

Equal Degree ◽

Important Constraint ◽

Power Management System ◽

Hierarchical Power Management ◽

Utilization Strategy

Power provision is coming to be the most important constraint to data center development, how to efficiently manage power consumption in the data center is urgent. For solving this problem, we designed the Request-Response Hierarchical Power Management model (RRHPM) for data center and analysed its performance in our latest work. Because failures are quite common in current data centers, in addition to performance, the fault-tolerance is another important metric of power management system. In this paper, we further explore the fault-tolerance of RRHPM for the data center. Numerical results show that the Equal Utilization Strategy has higher fault-tolerance than popular Equal Degree Strategy.

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Energy-Efficient Load Balancing Technique to optimize Average response time and Data Center Processing Time in Cloud Computing Environment

Journal of Physics Conference Series ◽

10.1088/1742-6596/1963/1/012145 ◽

2021 ◽

Vol 1963 (1) ◽

pp. 012145

Author(s):

S. Jeyalaksshmi ◽

J. Anita Smiles ◽

D. Akila ◽

Dibyendu Mukherjee ◽

Ahmed J. Obaid

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

Response Time ◽

Data Center ◽

Energy Efficient ◽

Processing Time ◽

Average Response ◽

Computing Environment ◽

Average Response Time ◽

Cloud Computing Environment

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Predictive Data Center Selection Scheme for Response Time Optimization in Cloud Computing

International Journal of Cloud Applications and Computing ◽

10.4018/ijcac.2021010105 ◽

2021 ◽

Vol 11 (1) ◽

pp. 93-111

Author(s):

Deepak Kapgate

Keyword(s):

Cloud Computing ◽

Response Time ◽

Data Center ◽

Queuing Theory ◽

Performance Metrics ◽

Forecasting Model ◽

Selection Algorithm ◽

Queuing Model ◽

Selection Scheme ◽

Selection Algorithms

The quality of cloud computing services is evaluated based on various performance metrics out of which response time (RT) is most important. Nearly all cloud users demand its application's RT as minimum as possible, so to minimize overall system RT, the authors have proposed request response time prediction-based data center (DC) selection algorithm in this work. Proposed DC selection algorithm uses results of optimization function for DC selection formulated based on M/M/m queuing theory, as present cloud scenario roughly obeys M/M/m queuing model. In cloud environment, DC selection algorithms are assessed based on their performance in practice, rather than how they are supposed to be used. Hence, explained DC selection algorithm with various forecasting models is evaluated for minimum user application RT and RT prediction accuracy on various job arrival rates, real parallel workload types, and forecasting model training set length. Finally, performance of proposed DC selection algorithm with optimal forecasting model is compared with other DC selection algorithms on various cloud configurations.

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Hierarchical power management for adaptive tightly-coupled processor arrays

ACM Transactions on Design Automation of Electronic Systems ◽

10.1145/2390191.2390193 ◽

2013 ◽

Vol 18 (1) ◽

pp. 1-25 ◽

Cited By ~ 13

Author(s):

Vahid Lari ◽

Shravan Muddasani ◽

Srinivas Boppu ◽

Frank Hannig ◽

Moritz Schmid ◽

...

Keyword(s):

Power Management ◽

Processor Arrays ◽

Tightly Coupled ◽

Hierarchical Power Management

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Application of A* (A Star) Algorithm on Automation of Trash Can

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b1059.0982s919 ◽

2019 ◽

Vol 8 (2S9) ◽

pp. 261-263

Keyword(s):

Response Time ◽

Global Positioning System ◽

Industrial Revolution ◽

Human Life ◽

Positioning System ◽

Average Response ◽

Average Response Time ◽

Stopping Distance ◽

Coordinate Position ◽

Global Positioning

The industrial revolution 4.0 demands the convenience of a human life facility. Not to forget also in the cleaning service. When we will dispose of trash, we do not need to look for the trash can, it is precisely the trash can that will approach us. This smartphone-based application uses the A * (A star) algorithm as the basis for its work, while for communication between smartphones with the trash can system using blue tooth. The smartphone sends its coordinate position through the Global Positioning System facility, then the trash can system will search for the sender's location. The experimental results show that the average stopping distance indoors without barrier is 7.03 meters with an average time response of 25.3 seconds, the average stopping distance in the room with a barrier of 7.2 meters with the average response time 3.6 seconds average, stopping distance outdoor without a barrier of 5.7 meters with an average response time of 258.3 seconds, and the average outdoor stopping distance with a barrier of 2.73 meters with a response an average time of 141.3 seconds.

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Identification of the flow experience in gamified educational environment

Zbornik radova Pedagoskog fakulteta Uzice ◽

10.5937/zrpfu2123167a ◽

2021 ◽

pp. 167-176

Author(s):

Veljko Aleksić ◽

Olga Ristić

Keyword(s):

Response Time ◽

User Experience ◽

Educational Environment ◽

Assessment Tools ◽

Flow Experience ◽

Sense Of Control ◽

Average Response ◽

Average Response Time ◽

Educational Environments ◽

Experience Of Flow

Determining and understanding the user experience in gamified educational environments is a contemporary challenge, especially when analyzing the flow experience (balance of challenge and skills, conscious actions, clear goals, clear feedback, sense of control, etc.). The reason for this lies in the assessment tools that most often created and implemented to separate the user from the experience of flow and/or cannot be applied en masse.The paper presents the results of a study in which flow experience was modeled based on data logs (e.g. number of mouse actions or average response time) in gamified educational environment on a sample of 31HE students. The results indicate the existence of correlations between data logs and flow experience dimensions.

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