scholarly journals Cloud Services Selection by Load Balancing between Clouds - A Hybrid MCDM/Markov Chain Approach

2016 ◽  
Author(s):  
Ouassila Hioual ◽  
Sofiane Mounine Hemam
Keyword(s):  
Markov Chain ◽  
Load Balancing ◽  
Cloud Services ◽  
Markov Chain Approach

Estimation of Interregional Trade Flows: A Markov Chain Approach

1986 ◽  
Vol 18 (1) ◽  
pp. 123-132 ◽  
Author(s):  
I Weksler ◽  
D Freeman ◽  
G Alperovich
Keyword(s):  
Markov Chain ◽  
Trade Flows ◽  
Interregional Trade ◽  
Markov Chain Approach

An Absorbing Markov Chain approach to understanding the microbial role in soil carbon stabilization

2010 ◽  
Vol 106 (3) ◽  
pp. 303-309 ◽  
Author(s):  
Chao Liang ◽  
Guang Cheng ◽  
Devin L. Wixon ◽  
Teri C. Balser
Keyword(s):  
Markov Chain ◽  
Soil Carbon ◽  
Carbon Stabilization ◽  
Markov Chain Approach ◽  
Absorbing Markov Chain ◽  
Soil Carbon Stabilization

Change point dynamics for financial data: an indexed Markov chain approach

2018 ◽  
Vol 15 (2) ◽  
pp. 247-266 ◽  
Author(s):  
Guglielmo D’Amico ◽  
Ada Lika ◽  
Filippo Petroni
Keyword(s):  
Markov Chain ◽  
Change Point ◽  
Financial Data ◽  
Markov Chain Approach

scholarly journals DETERMINING FUTURE PRECIPITATION PROBABILITY FOR KAHRAMANMARAS CITY USING MARKOV CHAIN APPROACH

2017 ◽  
Vol 1 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Mahmut REİS ◽  
Hurem DUTAL ◽  
Zeynep KAYRAK
Keyword(s):  
Markov Chain ◽  
Markov Chain Approach

scholarly journals Construction and Control of Genetic Regulatory Networks:A Multivariate Markov Chain Approach

2008 ◽  
Vol 01 (01) ◽  
pp. 15-21 ◽  
Author(s):  
Shu-Qin Zhang ◽  
Ling-Yun Wu ◽  
Wai-Ki Ching ◽  
Yue Jiao ◽  
Raymond, H. Chan
Keyword(s):  
Markov Chain ◽  
Markov Chain Approach ◽  
And Control

scholarly journals An Optimal Solution in cloud computing for Load Balancing using Genetic Algorithm

2019 ◽  
Vol 8 (6) ◽  
pp. 2490-2494
Keyword(s):  
Genetic Algorithm ◽  
Cloud Computing ◽  
Load Balancing ◽  
Virtual Machines ◽  
Optimal Solution ◽  
Cloud Services ◽  
Research Trend ◽  
Schedule Length ◽  
Research Gap ◽  
Load Balancing Algorithm

Cloud computing is a research trend which bring various cloud services to the users. Cloud environment face various challenges and issues to provide efficient services. In this paper, a novel Genetic Algorithm based load balancing algorithm has been implemented to balance the load in the network. The literature review has been studied to understand the research gap. More specifically, load balancing technique authenticate the network by enabling Virtual Machines (VM). The proposed technique has been further evaluated using the Schedule Length Runtime (SLR) and Energy consumption (EC) parameters. Overall, the effective results has been obtained such as 46% improvement in consuming the energy and 12 % accuracy for the SLR measurement. In addition, results has been compared with the conventional approaches to validate the outcomes.

Analysis of Two Phases Queue With Vacations and Breakdowns Under T-Policy

2019 ◽  
pp. 13-31
Author(s):  
Khalid Alnowibet ◽  
Lotfi Tadj
Keyword(s):  
Markov Chain ◽  
Steady State ◽  
Performance Measures ◽  
Threshold Level ◽  
System Size ◽  
State System ◽  
Markov Chain Approach ◽  
Optimal Value ◽  
Two Phases ◽  
Random Breakdowns

The service system considered in this chapter is characterized by an unreliable server. Random breakdowns occur on the server and the repair may not be immediate. The authors assume the possibility that the server may take a vacation at the end of a given service completion. The server resumes operation according to T-policy to check if enough customers have arrived while he was away. The actual service of any arrival takes place in two consecutive phases. Both service phases are independent of each other. A Markov chain approach is used to obtain the steady state system size probabilities and different performance measures. The optimal value of the threshold level is obtained analytically.

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