scholarly journals CEEM: A Practical Methodology for Cloud Services Evaluation

2013 ◽  
Author(s):  
Zheng Li ◽  
Liam OBrien ◽  
He Zhang
Keyword(s):  
Cloud Services ◽  
Services Evaluation

Applying Design of Experiments (DOE) to Performance Evaluation of Commercial Cloud Services

2013 ◽  
Vol 5 (3) ◽  
pp. 75-93
Author(s):  
Zheng Li ◽  
Liam O’Brien ◽  
He Zhang ◽  
Rajiv Ranjan
Keyword(s):  
Performance Evaluation ◽  
Experimental Design ◽  
Design Of Experiments ◽  
Evaluation Studies ◽  
Cloud Services ◽  
Experimental Results ◽  
Performance Evaluations ◽  
Experimental Sample ◽  
Practical Evaluation ◽  
Services Evaluation

Appropriate performance evaluations of commercial Cloud services are crucial and beneficial for both customers and providers to understand the service runtime, while suitable experimental design and analysis would be vital for practical evaluation implementations. However, there seems to be a lack of effective methods for Cloud services performance evaluation. For example, in most of the existing evaluation studies, experimental factors (also called parameters or variables) were considered randomly and intuitively, experimental sample sizes were determined on the fly, and few experimental results were comprehensively analyzed. To address these issues, the authors suggest applying Design of Experiments (DOE) to Cloud services evaluation. To facilitate applying DOE techniques, this paper introduces an experimental factor framework and a set of DOE application scenarios. As such, new evaluators can explore and conveniently adapt our work to their own experiments for performance evaluation of commercial Cloud services.

Cloud Services Evaluation for NonFormal Learning Implementation

2018 ◽  
Vol 24 (2) ◽  
pp. 1460-1463
Author(s):  
Mohd Norafizal Abd Aziz ◽  
Norazlina Khamis ◽  
Rafidah Md Noor
Keyword(s):  
Cloud Services ◽  
Nonformal Learning ◽  
Services Evaluation

A Survey on Utilizing Cloud Services in the E-learning Process

2015 ◽  
Vol 6 (9) ◽  
pp. 1606-1612
Author(s):  
Zaydoon Mohammad Hatamleh ◽  
Eslam Najim Badran ◽  
Bilal Mohammad Hatamleh
Keyword(s):  
Learning Process ◽  
Cloud Services ◽  
E Learning

Implementaon of digital economy elements in electric power industry

2018 ◽  
Vol 11 (2) ◽  
pp. 94-102 ◽  
Author(s):  
A. G. Filimonov ◽  
N. D. Chichirova ◽  
A. A. Chichirov ◽  
A. A. Filimonovа
Keyword(s):  
Electric Power ◽  
Energy Production ◽  
Predictive Analytics ◽  
Digital Economy ◽  
Digital Transformation ◽  
Cloud Services ◽  
Small Scale ◽  
Economic Activities ◽  
Industrial Enterprises ◽  
Automation Systems

Energy generation, along with other sectors of Russia’s economy, is on the cusp of the era of digital transformation. Modern IT solutions ensure the transition of industrial enterprises from automation and computerization, which used to be the targets of the second half of the last century, to digital enterprise concept 4.0. The international record of technological and structural solutions in digitization may be used in Russia’s energy sector to the full extent. Specifics of implementation of such systems in different countries are only determined by the level of economic development of each particular state and the attitude of public authorities as related to the necessity of creating conditions for implementation of the same. It is shown that a strong legislative framework is created in Russia for transition to the digital economy, with research and applied developments available that are up to the international level. The following digital economy elements may be used today at enterprises for production of electrical and thermal energy: — dealing with large amounts of data (including operations exercised via cloud services and distributed data bases); — development of small scale distributed generation and its dispatching; — implementation of smart elements in both electric power and heat supply networks; — development of production process automation systems, remote monitoring and predictive analytics; 3D-modeling of parts and elements; real time mathematic simulation with feedback in the form of control actions; — creating centres for analytical processing of statistic data and accounting in financial and economic activities with business analytics functions, with expansion of communication networks and computing capacities. Examples are presented for implementation of smart systems in energy production and distribution. It is stated in the paper that state-of art information technologies are currently being implemented in Russia, new unique digital transformation projects are being launched in major energy companies. Yet, what is required is large-scale and thorough digitization and controllable energy production system as a multi-factor business process will provide the optimum combination of efficient economic activities, reliability and safety of power supply.

Microprocessor Architecture Era for Development Cloud Computing of Ministry of Electricity and Energy of Egypt

2014 ◽  
Vol 13 (12) ◽  
pp. 5199-5209
Author(s):  
Heba A. El-Khobby ◽  
Mostafa M. AbdElnaby ◽  
Abdel-Aziz Ibrahim Mahmoud HASSANIN ◽  
Abdallah D. Maziad
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Theoretical Analysis ◽  
Organization Structure ◽  
Fixed Time ◽  
Organization Structures ◽  
Competence Evaluation ◽  
Competency Based ◽  
Services Evaluation ◽  
The Relationship

A development and evaluation the Cloud Computing (ClComp) of Ministry of Electricity and Energy of Egypt (MEEE) is presented in this paper. In order to be able to judge whether the ClComp of MEEE is competence, there is a need to develop criteria which performance can judged. Competency based standards and the ability to perform the activities within an occupation to the standard expected in the organization structure are presented. The key objective of Cloud Computing is to integrate Authorized Groups (AuthGs) development with the needs of the organization structures of MEEE. The ClComp of MEEE was developed jointly between the telecommunication information technology and ClComp services. Evaluation enables participant to distinguish between AuthGs centered view and a customer centered view of cloud computing of MEEE is competence evaluation. Recognize the main types of evaluation, explain the purpose of evaluation compare the approaches to cloud computing evaluation and review the relationship between the process and policy of evaluation are investigated. Microprocessor architecture presented an optimistic view of multicore scalability to develop the ClComp. Moreover this paper investigates the theoretical analysis of multiprocessor developing and scalability. The analysis was based on the laws of Amdahl's, Gustafson's, Hill's and Marty for fixed-workload condition. Moreover, challenged the difficulties to develop better cloud computing is taken into account. Also, multicore analysis of ClComp scalability, performance and power under fixed-time and memory-bound conditions are studied. These results complement existing studies and demonstrate that ClComp architectures are capable of extensive scalability and developing.

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