DITEC User Priority Designation (UPD) Algorithm: An Approach to Prioritizing Technology Evaluations

Author(s):  
Roger Hallman ◽  
Jose Romero-Mariona ◽  
Megan Kline ◽  
John San Miguel

2017 ◽  
Vol 4 (3) ◽  
pp. 824-831 ◽  
Author(s):  
Di Lin ◽  
Yu Tang ◽  
Yuanzhe Yao ◽  
Athanasios V. Vasilakos


Author(s):  
Yuehong Chen ◽  
Yuanqing Xia ◽  
Ce Yan ◽  
Runze Gao


Cloud computing, one of the fastest growing fields, is the the delivery of computing resources and services. Load balancing is a key problem in cloud computing (CC) that deals with the even distribution of work load across multiple virtual machines to ensure that no machine is overloaded or underutilized during the task computation. The load balancing optimization problem is an NP-hard problem, hence, for the optimal usage of available resources, we propose a new efficient user-priority multi-agent genetic algorithm (GA). Our algorithm takes the “users’ priority and earliest job finishing time” into consideration for minimizing the response time and energy. We simulate our algorithm using Cloud-Analyst and show that our algorithm outperforms the existing algorithms for load balancing.



TEM Journal ◽  
2020 ◽  
pp. 992-1002
Author(s):  
Lalband Neelu ◽  
D. Kavitha

Agile methodology mainly focuses on the end user priority during the each and every stage of software development process. There is a huge scope in this technique in order to alter the major/minor modifications at each stage of software development for attaining the customer satisfaction. The main aim of the present work is to compare agile methodology with the traditional system methodologies. The present state of using the agile technologies for customer satisfaction at every phase by delivering valuable software continuously is also discussed in the present work. Based on the pitfalls in the existing models, a new model is proposed here in the present study.







2013 ◽  
Vol 16 (3) ◽  
pp. A261
Author(s):  
T. Thorat ◽  
J.D. Chambers ◽  
J. Pyo ◽  
P.J. Neumann


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