Non-Intrusive Autonomic Approach with Self-Management Policies Applied to Legacy Infrastructures for Performance Improvements

2012 ◽  
pp. 105-123
Author(s):  
Rémi Sharrock ◽  
Thierry Monteil ◽  
Patricia Stolf ◽  
Daniel Hagimont ◽  
Laurent Broto
Keyword(s):  
Autonomic Computing ◽  
Self Management ◽  
New Approach ◽  
Performance Improvements ◽  
Modeling Software ◽  
Hardware Architectures ◽  
Management Policies ◽  
Important Time ◽  
High Level ◽  
Load Balancer

The growing complexity of large IT facilities involves important time and effort costs to operate and maintain. Autonomic computing gives a new approach in designing distributed architectures that manage themselves in accordance with high-level objectives. The main issue is that existing architectures do not necessarily follow this new approach. The motivation is to implement a system that can interface heterogeneous components and platforms supplied by different vendors in a non-intrusive and generic manner. The goal is to increase the intelligence of the system by actively monitoring its state and autonomously taking corrective actions without the need to modify the managed system. In this paper, the authors focus on modeling software and hardware architectures as well as describing administration policies using a graphical language inspired from UML. The paper demonstrates that this language is powerful enough to describe complex scenarios and evaluates some self-management policies for performance improvement on a distributed computational jobs load balancer over a grid.

Non-Intrusive Autonomic Approach with Self-Management Policies Applied to Legacy Infrastructures for Performance Improvements

2011 ◽  
Vol 2 (1) ◽  
pp. 58-76 ◽  
Author(s):  
Rémi Sharrock ◽  
Thierry Monteil ◽  
Patricia Stolf ◽  
Daniel Hagimont ◽  
Laurent Broto
Keyword(s):  
Autonomic Computing ◽  
Self Management ◽  
New Approach ◽  
Performance Improvements ◽  
Modeling Software ◽  
Hardware Architectures ◽  
Management Policies ◽  
Important Time ◽  
High Level ◽  
Load Balancer

The growing complexity of large IT facilities involves important time and effort costs to operate and maintain. Autonomic computing gives a new approach in designing distributed architectures that manage themselves in accordance with high-level objectives. The main issue is that existing architectures do not necessarily follow this new approach. The motivation is to implement a system that can interface heterogeneous components and platforms supplied by different vendors in a non-intrusive and generic manner. The goal is to increase the intelligence of the system by actively monitoring its state and autonomously taking corrective actions without the need to modify the managed system. In this paper, the authors focus on modeling software and hardware architectures as well as describing administration policies using a graphical language inspired from UML. The paper demonstrates that this language is powerful enough to describe complex scenarios and evaluates some self-management policies for performance improvement on a distributed computational jobs load balancer over a grid.

Teamwork as Joint Activity in Sailing

2016 ◽  
Author(s):  
Fredrik Forsman ◽  
Christian Finnsgård
Keyword(s):  
Success Factors ◽  
Common Ground ◽  
Competitive Advantages ◽  
Joint Activity ◽  
Performance Improvements ◽  
Analysis Process ◽  
Experience Based Learning ◽  
Long Time ◽  
Important Time ◽  
High Level

Sailing is a sport and activity that takes a long time both to learn and to master, as much of its competence based knowledge is acquired through experience. Experience based learning is very important time intensive, and the factors for success are often tacit and hidden. Should these success factors become explicit and salient, learning would occur faster and produce obvious competitive advantages. This research was conducted by embedding on-going research results into two competitive sailing teams racing in different classes, one offshore keelboat racing with a crew of 8, and a one-design Star-class racing yacht with a crew of two. The data collection consisted of observations, interviews, and video recordings. The results were also verified with the crews to catch biases in the analysis process. A jibe, a specific but common maneuver was analyzed from the perspective of Common Ground within Joint Activity. Maneuvering a competitive offshore sail racer or a previously Olympic Star-class yacht are tasks that fulfill the requirements for Joint Activity. A high level of Common Ground is required for the effective coordination needed in order to perform at a high level and maintain the safety of the crew and equipment. Breakdowns in the coordination of maneuvers were observed, although they must be recorded on video for higher analysis reliability. To achieve greater validity, more and different maneuvers should be considered within the analysis. By better understanding the factors for success, sail racing teams can more quickly gain competence and thus competitive advantages. The research analyzes the teamwork found in sailing from the perspective of Joint Activity and Common Ground and provides insight into how to achieve performance improvements more efficiently.

scholarly journals Molecular Recognition: Perspective and a New Approach

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2757
Author(s):  
W. Rudolf Seitz ◽  
Casey J. Grenier ◽  
John R. Csoros ◽  
Rongfang Yang ◽  
Tianyu Ren
Keyword(s):  
Molecular Recognition ◽  
Molecularly Imprinted Polymers ◽  
Binding Sites ◽  
Binding Kinetics ◽  
Molecularly Imprinted ◽  
New Approach ◽  
Imprinted Polymers ◽  
High Affinity ◽  
Water Blocking ◽  
High Level

This perspective presents an overview of approaches to the preparation of molecular recognition agents for chemical sensing. These approaches include chemical synthesis, using catalysts from biological systems, partitioning, aptamers, antibodies and molecularly imprinted polymers. The latter three approaches are general in that they can be applied with a large number of analytes, both proteins and smaller molecules like drugs and hormones. Aptamers and antibodies bind analytes rapidly while molecularly imprinted polymers bind much more slowly. Most molecularly imprinted polymers, formed by polymerizing in the presence of a template, contain a high level of covalent crosslinker that causes the polymer to form a separate phase. This results in a material that is rigid with low affinity for analyte and slow binding kinetics. Our approach to templating is to use predominantly or exclusively noncovalent crosslinks. This results in soluble templated polymers that bind analyte rapidly with high affinity. The biggest challenge of this approach is that the chains are tangled when the templated polymer is dissolved in water, blocking access to binding sites.

4D Einstein equations in a general gauge Kaluza–Klein space

2015 ◽  
Vol 12 (03) ◽  
pp. 1550036
Author(s):  
Aurel Bejancu ◽  
Constantin Călin
Keyword(s):  
Einstein Equations ◽  
Tensor Fields ◽  
New Approach ◽  
Higher Dimensional ◽  
High Level ◽  
General Gauge ◽  
Kaluza Klein

Using the new approach on higher-dimensional Kaluza–Klein theories developed by the first author, we obtain the 4D Einstein equations on a (4 + n)D relativistic gauge Kaluza–Klein space. Adapted frame and coframe fields, adapted tensor fields, and the Riemannian adapted connection, have a fundamental role in the study. The high level of generality of the study, enables us to recover several results from earlier papers on this matter.

ACRIPPER: A New Associative Classification Based on RIPPER Algorithm

2021 ◽  
Vol 20 (01) ◽  
pp. 2150013
Author(s):  
Mohammed Abu-Arqoub ◽  
Wael Hadi ◽  
Abdelraouf Ishtaiwi
Keyword(s):  
Decision Making ◽  
Class Imbalance ◽  
The Other ◽  
Associative Classification ◽  
Rule Based ◽  
New Approach ◽  
New Novel ◽  
Accuracy Measure ◽  
High Level ◽  
Substantial Interest

Associative Classification (AC) classifiers are of substantial interest due to their ability to be utilised for mining vast sets of rules. However, researchers over the decades have shown that a large number of these mined rules are trivial, irrelevant, redundant, and sometimes harmful, as they can cause decision-making bias. Accordingly, in our paper, we address these challenges and propose a new novel AC approach based on the RIPPER algorithm, which we refer to as ACRIPPER. Our new approach combines the strength of the RIPPER algorithm with the classical AC method, in order to achieve: (1) a reduction in the number of rules being mined, especially those rules that are largely insignificant; (2) a high level of integration among the confidence and support of the rules on one hand and the class imbalance level in the prediction phase on the other hand. Our experimental results, using 20 different well-known datasets, reveal that the proposed ACRIPPER significantly outperforms the well-known rule-based algorithms RIPPER and J48. Moreover, ACRIPPER significantly outperforms the current AC-based algorithms CBA, CMAR, ECBA, FACA, and ACPRISM. Finally, ACRIPPER is found to achieve the best average and ranking on the accuracy measure.

scholarly journals Tadalafil once daily: Narrative review of a treatment option for female sexual dysfunctions (FSD) in midlife and older women

2017 ◽  
Vol 89 (1) ◽  
pp. 7 ◽  
Author(s):  
Chiara Borghi ◽  
Lucio Dell'Atti
Keyword(s):  
Treatment Option ◽  
Treatment Options ◽  
Sexual Disorders ◽  
Phosphodiesterase Type 5 Inhibitors ◽  
Correct Definition ◽  
Sexual Disturbances ◽  
Important Time ◽  
Phosphodiesterase Type ◽  
High Level ◽  
Female Sexual Disorders

Female Sexual Disorders (FSD) include a complex, multidimensional, individual experience that can change as an individual age, suggesting that these problems are caused by multiple factors including psychosocial factors, personal relationships, pathologic changes caused by diseases, and pharmacologic influences. Menopause is an important time for middle aged women and postmenopausal physiological changes could have a significant role in the development of FSD. Few is still known about their correct definition and treatment. Their incidence, prevalence and risk factors are difficult to define because of a high level of overlap in the experience of problems with desire, arousal, and orgasm. Little evidences are known about the best therapeutic approach, and both non-pharmacological and pharmacological treatment options have been described. Among these, phosphodiesterase type 5 inhibitors could be an effective option for many subtypes of female sexual disorders, with an improvement in different aspects of sexual function, such as desire, arousal, orgasm and sexual satisfaction. In this paper authors reviewed what is already known about the use of these vasoactive agents, particularly tadalafil, as a treatment option for female sexual disturbances.

scholarly journals HISTORY EDUCATION IN CURRICULUM 2013: A NEW APPROACH TO TEACHING HISTORY

2013 ◽  
Vol 14 (1) ◽  
pp. 163 ◽  
Author(s):  
Said Hamid Hasan
Keyword(s):  
Lesson Plan ◽  
Student Learning Outcomes ◽  
Historical Events ◽  
Paper Test ◽  
New Approach ◽  
Teaching History ◽  
Assessment Of Student Learning ◽  
Pencil And Paper ◽  
Amount Of Knowledge ◽  
High Level

There has been so many findings and thoughts indicating that teaching history is dominated by what teachers tell of what happened in the past as it is written in the textbooks or reference books. Students listen, read, and memorize the narration and the more details the student could memorize the higher mark she/he will get. The plan for teaching history, syllabus or lesson plan, shows a high level of consistency amongst the learning objectives, teaching processes, and assessment of student learning outcomes. Memorize of historical facts and the reproduction of historical narratives as indication of student’s understanding of historical events, the transmission of information from teacher to student to realize the objectives, and the use of pencil and paper test to assess student level of achievement are the common practices in school from primary to secondary education. It would be no surprise if teaching history at the higher level of education would follow the same path. Public still consider a good scholar or historian in this case, is measured by the amount of knowledge she/he can memorize and she/he should be able to answer some many questions of the facts of historical events. In fact, there is no question of how many a student has in her/his memory apart from what is questioned.

A New Approach for a Simulation-Based Prediction of Torsional Chatter in Deep Hole Drilling With Extra-Long Twist Drills

2013 ◽  
Author(s):  
E. Abele ◽  
D. Schäfer
Keyword(s):  
General Structure ◽  
Cutting Parameters ◽  
Torsional Stiffness ◽  
Hole Drilling ◽  
New Approach ◽  
Process Dynamics ◽  
Chatter Vibrations ◽  
Simulation Based ◽  
High Level ◽  
Twist Drills

Numerous investigations work on torsional chatter vibrations in drilling. Particularly in terms of productivity, torsional chatter is detrimental because of a reduction of tool life and an undesirably high level of noise emissions due to the increased process dynamics. To achieve a deeper understanding of the process dynamics, a new numerical simulation model was developed to predict torsional chatter for extra-long twist drills. It is used to determine the influence of numerous factors such as cutting parameters, drill torsional stiffness, rotary moment of inertia and torsional-axial coupling. In this paper, the general structure of the model and the tool model is presented.

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