Designing a methodological framework for modeling and performance forecasting of self‐adaptive cloud systems

Author(s):  
Mehdi Sliem ◽  
Nabila Salmi ◽  
Malika Ioualalen

2021 ◽  
Vol 20 (1) ◽  
pp. 192-196
Author(s):  
Mabrouka Amhamed Al-Shebany ◽  
Jazya Moftah Amshaher ◽  
Hana Mohammed

Recently a large effort was spent on forecasting the outcome of sporting events. Due to forecasting perspective, the presence of competition introduces particular modeling challenges, which in turn limit the applicability of standard techniques. The objective of this study is to create a soccer team performance-forecasting model based on Artificial Neural networks that is capable of forecasting soccer players’ performance depending on teams’ history and behavior in previous matches as an input. The proposed model was trained and tested using a dataset including the features of Egypt Telecommunications club 15 years soccer team participating in the Egyptian Football Association Youth Dorian.  Simulation results indicated that the proposed model could be classified as a stable predication model especially for soccer team’s status and performance, achieving high accuracy rate up to 95%.



Author(s):  
N. D. Ring ◽  
D. B. Welbourn

Owing to the impossibility of fully replacing a wearer's lost sensation within a prosthetic limb, a compromise must be made. Externally powered limbs are often ‘driven’ by a wearer, causing high fatigue and energy expenditure. In order to combat this problem a prosthetic hook has been constructed which measures the weight of an object being held and corrects the grip automatically, this being analogous to the human reflex action. A description is given of the construction and operation of the device, as well as a brief examination of the picking-up operation using the natural hand.





Author(s):  
R. Divya Mounika, Et. al.

Micro services are increasingly understood as the ideal architectural framework for building large cloud applications within and beyond organizational boundaries. These micro services architectures scale up the application, but are expensive to work on, so pay attention to workflow planning and workflow planning. However, this issue is not very clear. In this work, we are developing independent micro services workflows suitable for modeling and prediction methods and designing three-step game models for   based applications. Solved the problem of designing micro services based applications to reduce end-to-end delays under user-specific limitations (MAWS-BC) and recommended micro services routing algorithms. The design process and estimation methods are improved and adequate. The experimental results produced by a well-known micro service bank cover a wide variety of statistical analyzes and the production utility of graphic design is shown by a large comparison copy compared to current algorithms.



2017 ◽  
Vol 8 (2) ◽  
pp. 199
Author(s):  
Karolis Andriuskevicius ◽  
Remigijus Ciegis

Research background: This study presents the results of the research which aimed to iden-tify and critically discuss existing methodologies in the merger and acquisition field. Value creation to merging and acquiring firms and national countries constitute the center of the research. This study distinguishes between specific methodologies employed to gauge M&A performance on a micro- (corporate) and macro- (economy and society) economic levels. The final section of the paper concludes with a theoretical methodological framework integrating methodologies employed to measure M&A performance on a firm level and methodologies measuring consequences and effects of M&A on the economy. The aim of the analysis described in the paper is to ascertain and evaluate theoretically existing methodologies used in empirical studies that would allow proper and critical understanding of the results of various findings in the holistic and global M&A area.Purpose of the article: The purpose of the paper is to investigate and critically discuss the methodologies employed within the M&A performance framework with the focus on specific anticipated outcomes of the M&A deal and methodology measuring this outcome. The following objectives are being raised: (1) To identify recent developments in the M&A market and determine challenges and changes they encompass; (2) To identify and critically discuss anticipated outcomes of the M&A deal and existing methodologies measuring M&A performance on the corporate level; (3) To identify and critically discuss anticipated outcomes of the M&A deal on the economy and methodologies measuring consequences and effects of M&As on the macro- economic level; (4) To integrate methodologies measuring M&As performance on a micro- and macro- eco-nomic levels into theoretical methodological framework enabling scholars and practitioners to evaluate M&A performance from a holistic perspective.Methods: Based on previous studies, the authors conduct a structured literature review aimed to critically discuss and evaluate developments and challenges of measuring M&A performance on corporate and macroeconomic levels. The research is carried out as a struc-tured assessment of past literature. The findings from scientific articles and studies by various scholars are being categorized, grouped and summarized to discern a meta‐analytic view of the work carried out to date. Finally, deep analysis of scientific literature, logical comparative analysis, systematization of scientific article and business cases are employed in the article.Findings & Value added: The paper evidences developments and challenges of measuring M&A performance on corporate and macroeconomic levels.  The re-search elaborates on several key developments in M&A methodology and performance studies carried out in empirical works during the last two decades. The findings help to independently and objec-tively assess performance of M&A from a holistic perspective.



2016 ◽  
Vol 25 (2) ◽  
pp. 63-74 ◽  
Author(s):  
Junhyi Lee ◽  
Euijong Lee ◽  
Doo-Kwon Baik


Sign in / Sign up

Export Citation Format

Share Document