An Analytical Model for Resource Characterization and Parameter Estimation for DAG-Based Jobs for Homogeneous Systems

2015 ◽  
Vol 6 (1) ◽  
pp. 34-52 ◽  
Author(s):  
Mohammad Sajid ◽  
Zahid Raza
Keyword(s):  
Analytical Model ◽  
High Performance ◽  
Service Providers ◽  
Average Energy ◽  
Electrical Energy ◽  
Turnaround Time ◽  
Service Level ◽  
Resource Requirement ◽  
Service Oriented Architectures ◽  
Resource Requirements

High Performance Computing (HPC) systems demand and consume a significant amount of resources (e.g. server, storage, electrical energy) resulting in high operational costs, reduced reliability, and sometimes leading to waste of scarce natural resources. On one hand, the most important issue for these systems is achieving high performance, while on the other hand, the rapidly increasing resource costs appeal to effectively predict the resource requirements to ensure efficient services in the most optimized manner. The resource requirement prediction for a job thus becomes important for both the service providers as well as the consumers for ensuring resource management and to negotiate Service Level Agreements (SLAs), respectively, in order to help make better job allocation decisions. Moreover, the resource requirement prediction can even lead to improved scheduling performance while reducing the resource waste. This work presents an analytical model estimating the required resources for the modular job execution. The analysis identifies the number of processors required and the maximum and minimum bounds on the turnaround time and energy consumed. Simulation study reveals that the scheduling algorithms integrated with the proposed analytical model helps in improving the average throughput and the average energy consumption of the system. As the work predicts the resource requirements, it can even play an important role in Service-Oriented Architectures (SOA) like Cloud computing or Grid computing.

Distribution slack allocation algorithm for energy aware task scheduling in cloud datacenters

2021 ◽  
pp. 1-22
Author(s):  
Golnaz Berenjian ◽  
Homayun Motameni ◽  
Mehdi Golsorkhtabaramiri ◽  
Ali Ebrahimnejad
Keyword(s):  
Energy Consumption ◽  
High Performance ◽  
Service Providers ◽  
Service Level Agreement ◽  
Main Idea ◽  
Service Level ◽  
Second Phase ◽  
Energy Aware ◽  
Slack Time ◽  
Dynamic Voltage

Regarding the ever-increasing development of data and computational centers due to the contribution of high-performance computing systems in such sectors, energy consumption has always been of great importance due to CO2 emissions that can result in adverse effects on the environment. In recent years, the notions such as “energy” and also “Green Computing” have played crucial roles when scheduling parallel tasks in datacenters. The duplication and clustering strategies, as well as Dynamic Voltage and Frequency Scaling (DVFS) techniques, have focused on the reduction of the energy consumption and the optimization of the performance parameters. Concerning scheduling Directed Acyclic Graph (DAG) of a datacenter processors equipped with the technique of DVFS, this paper proposes an energy- and time-aware algorithm based on dual-phase scheduling, called EATSDCDD, to apply the combination of the strategies for duplication and clustering along with the distribution of slack-time among the tasks of a cluster. DVFS and control procedures in the proposed green system are mapped into Petri net-based models, which contribute to designing a multiple decision process. In the first phase, we use an intelligent combined approach of the duplication and clustering strategies to run the immediate tasks of DAG along with monitoring the throughput by concentrating on the reduction of makespan and the energy consumed in the processors. The main idea of the proposed algorithm involves the achievement of a maximum reduction in energy consumption in the second phase. To this end, the slack time was distributed among non-critical dependent tasks. Additionally, we cover the issues of negotiation between consumers and service providers at the rate of μ based on Green Service Level Agreement (GSLA) to achieve a higher saving of the energy. Eventually, a set of data established for conducting the examinations and also different parameters of the constructed random DAG are assessed to examine the efficiency of our proposed algorithm. The obtained results confirms that our algorithm outperforms compared the other algorithms considered in this study.

Flexible and dynamic SLAs management in Service Oriented Architectures

2011 ◽  
pp. 22-40
Author(s):  
Giuseppe Di Modica ◽  
Orazio Tomarchio
Keyword(s):  
Service Providers ◽  
Service Level ◽  
Common Mechanism ◽  
Service Oriented Architectures ◽  
Monitoring And Enforcement ◽  
Service Oriented ◽  
Service Consumer ◽  
Sla Management ◽  
Administrative Domains

The increasing adoption of service oriented architectures across different administrative domains forces service providers to use effective mechanisms and strategies of resource management in order to guarantee the quality levels their customers demand during service provisioning. Service level agreements (SLA) are the most common mechanism used to establish agreements on the quality of a service (QoS) between a service provider and a service consumer. However, the proposed solutions have not been taken up by business stakeholders due to the low flexibility and usability together with the lack of interoperability. Any framework for SLA management should address several issues, such as SLA modeling and representation, SLA publication and discovery, protocols for establishing and negotiating SLAs, SLA monitoring and enforcement. This chapter addresses the issues related to the SLA management in service composition scenarios, which impose stronger requirements about flexibility of SLAs, and presents a framework for the management of dynamic SLAs.

Towards Benefiting Both Cloud Users and Service Providers Through Resource Provisioning

2019 ◽  
Vol 12 (1) ◽  
pp. 37-51
Author(s):  
Durga S. ◽  
Mohan S. ◽  
Dinesh Peter J. ◽  
Martina Rebecca Nittala
Keyword(s):  
Resource Utilization ◽  
Service Providers ◽  
Service Level Agreement ◽  
Cost Savings ◽  
Cloud Service ◽  
Turnaround Time ◽  
Service Level ◽  
Resource Provisioning ◽  
Cloud Users ◽  
Rp Technique

Cloud users expect high Quality of service (QoS) levels within their budget and the cloud service providers (CSPs) to maximize their profits, always strive for the cost and energy minimization and better resource utilization. Any error in the management of resources causes Service Level Agreement (SLA) violations, high penalties, low customer satisfaction, and long-term losses. The objective of this article is to present a literature review on various resource provisioning strategies and also to present a novel cluster-based resource provisioning (CB-RP) technique that satisfies the needs of both cloud users and CSP. CB-RP employs a heart algorithm to cluster the arriving requests based on its characteristics. The CB-RP technique aims to analyze the requests and provision the resources according to the request category. Simulation results show that our technique produces significant improvements in terms of cost savings, resource utilization and turnaround time compared with state of art technique.

Parallel Computing for Tire Simulations

2011 ◽  
Vol 39 (3) ◽  
pp. 193-209 ◽  
Author(s):  
H. Surendranath ◽  
M. Dunbar
Keyword(s):  
High Performance ◽  
Effective Means ◽  
Cost Effective ◽  
Turnaround Time ◽  
Careful Consideration ◽  
Rolling Contact ◽  
Element Analysis ◽  
Parallel Solvers ◽  
Design Changes ◽  
Highly Nonlinear

Abstract Over the last few decades, finite element analysis has become an integral part of the overall tire design process. Engineers need to perform a number of different simulations to evaluate new designs and study the effect of proposed design changes. However, tires pose formidable simulation challenges due to the presence of highly nonlinear rubber compounds, embedded reinforcements, complex tread geometries, rolling contact, and large deformations. Accurate simulation requires careful consideration of these factors, resulting in the extensive turnaround time, often times prolonging the design cycle. Therefore, it is extremely critical to explore means to reduce the turnaround time while producing reliable results. Compute clusters have recently become a cost effective means to perform high performance computing (HPC). Distributed memory parallel solvers designed to take advantage of compute clusters have become increasingly popular. In this paper, we examine the use of HPC for various tire simulations and demonstrate how it can significantly reduce simulation turnaround time. Abaqus/Standard is used for routine tire simulations like footprint and steady state rolling. Abaqus/Explicit is used for transient rolling and hydroplaning simulations. The run times and scaling data corresponding to models of various sizes and complexity are presented.

Clinical governance in Australia

2015 ◽  
Vol 20 (2) ◽  
pp. 56-73 ◽  
Author(s):  
Allan D Spigelman ◽  
Shane Rendalls
Keyword(s):  
Web Sites ◽  
Service Providers ◽  
Service Level ◽  
Clinical Governance ◽  
Success Factor ◽  
Quality And Safety ◽  
Funding Policy ◽  
Content Type ◽  
Health Service Providers ◽  
Governance Systems

Purpose – The purpose of this paper is to overview, background and context to clinical governance in Australia, areas for further development and potential learnings for other jurisdictions. Design/methodology/approach – Commentary; non-systematic review of clinical governance literature; review of web sites for national, state and territory health departments, quality and safety organisations, and clinical colleges in Australia. Findings – Clinical governance in Australia shows variation across jurisdictions, reflective of a fragmented health system with responsibility for funding, policy and service provision being divided between levels of government and across service streams. The mechanisms in place to protect and engage with consumers thus varies according to where one lives. Information on quality and safety outcomes also varies; is difficult to find and often does not drill down to a service level useful for informing consumer treatment decisions. Organisational stability was identified as a key success factor in realising and maintaining the cultural shift to deliver ongoing quality. Research limitations/implications – Comparison of quality indicators with clinical governance systems and processes at a hospital level will provide a more detailed understanding of components most influencing quality outcomes. Practical implications – The information reported will assist health service providers to improve information and processes to engage with consumers and build further transparency and accountability. Originality/value – In this paper the authors have included an in depth profile of the background and context for the current state of clinical governance in Australia. The authors expect the detail provided will be of use to the international reader unfamiliar with the nuances of the Australian Healthcare System. Other studies (e.g. Russell and Dawda, 2013; Phillips et al., n.d.) have been based on deep professional understanding of clinical governance in appraising and reporting on initaitives and structures. This review has utilised resources available to an informed consumer seeking to understand the quality and safety of health services.

scholarly journals Numerical Evaluation of a HVAC System Based on a High-Performance Heat Transfer Fluid

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3298
Author(s):  
Gianpiero Colangelo ◽  
Brenda Raho ◽  
Marco Milanese ◽  
Arturo de Risi
Keyword(s):  
Heat Transfer ◽  
High Performance ◽  
Cooling System ◽  
Electrical Energy ◽  
Simulation Software ◽  
Heat Transfer Fluid ◽  
Hvac System ◽  
Dynamic Simulations ◽  
Heating And Cooling ◽  
The University

Nanofluids have great potential to improve the heat transfer properties of liquids, as demonstrated by recent studies. This paper presents a novel idea of utilizing nanofluid. It analyzes the performance of a HVAC (Heating Ventilation Air Conditioning) system using a high-performance heat transfer fluid (water-glycol nanofluid with nanoparticles of Al2O3), in the university campus of Lecce, Italy. The work describes the dynamic model of the building and its heating and cooling system, realized through the simulation software TRNSYS 17. The use of heat transfer fluid inseminated by nanoparticles in a real HVAC system is an innovative application that is difficult to find in the scientific literature so far. This work focuses on comparing the efficiency of the system working with a traditional water-glycol mixture with the same system that uses Al2O3-nanofluid. The results obtained by means of the dynamic simulations have confirmed what theoretically assumed, indicating the working conditions of the HVAC system that lead to lower operating costs and higher COP and EER, guaranteeing the optimal conditions of thermo-hygrometric comfort inside the building. Finally, the results showed that the use of a nanofluid based on water-glycol mixture and alumina increases the efficiency about 10% and at the same time reduces the electrical energy consumption of the HVAC system.

Personalized antibiotic therapy – a rapid high performance liquid chromatography–tandem mass spectrometry method for the quantitation of eight antibiotics and voriconazole for patients in the intensive care unit

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Tony Böhle ◽  
Ulrike Georgi ◽  
Dewi Fôn Hughes ◽  
Oliver Hauser ◽  
Gudrun Stamminger ◽  
...  
Keyword(s):  
Intensive Care ◽  
Antibiotic Therapy ◽  
High Performance ◽  
High Specificity ◽  
Serum Levels ◽  
Turnaround Time ◽  
Target Range ◽  
Therapeutic Drug ◽  
Monitoring Method ◽  
Adjustment Procedure

AbstractObjectivesFor a long time, the therapeutic drug monitoring of anti-infectives (ATDM) was recommended only to avoid the toxic side effects of overdosing. During the last decade, however, this attitude has undergone a significant change. Insufficient antibiotic therapy may promote the occurrence of drug resistance; therefore, the “one-dose-fits-all” principle can no longer be classified as up to date. Patients in intensive care units (ICU), in particular, can benefit from individualized antibiotic therapies.MethodsPresented here is a rapid and sufficient LC-MS/MS based assay for the analysis of eight antibiotics (ampicillin, cefepime, cefotaxime, ceftazidime, cefuroxime, linezolid, meropenem, and piperacillin) applicated by continuous infusion and voriconazole. In addition a dose adjustment procedure for individualized antibiotic therapy has been established.ResultsThe suggested dose adjustments following the initial dosing of 121 patient samples from ICUs, were evaluated over a period of three months. Only a minor percentage of the serum levels were found to be within the target range while overdosing was often observed for β-lactam antibiotics, and linezolid tended to be often underused. The results demonstrate an appreciable potential for β-lactam savings while enabling optimal therapy.ConclusionsThe presented monitoring method provides high specificity and is very robust against various interferences. A fast and straightforward method, the developed routine ensures rapid turnaround time. Its application has been well received by participating ICUs and has led to an expanding number of hospital wards participating in ATDM.

An analytical model for predicting the shear strength of unsaturated soils

2022 ◽  
pp. 1-57
Author(s):  
Tuan A. Pham ◽  
Melis Sutman
Keyword(s):  
Shear Strength ◽  
Analytical Model ◽  
Unsaturated Soils ◽  
High Performance ◽  
Micromechanical Model ◽  
Experimental Studies ◽  
Stress Equilibrium ◽  
Proposed Model ◽  
New Equation ◽  
Multi Phase

The prediction of shear strength for unsaturated soils remains to be a significant challenge due to their complex multi-phase nature. In this paper, a review of prior experimental studies is firstly carried out to present important pieces of evidence, limitations, and some design considerations. Next, an overview of the existing shear strength equations is summarized with a brief discussion. Then, a micromechanical model with stress equilibrium conditions and multi-phase interaction considerations is presented to provide a new equation for predicting the shear strength of unsaturated soils. The validity of the proposed model is examined for several published shear strength data of different soil types. It is observed that the shear strength predicted by the analytical model is in good agreement with the experimental data, and get high performance compared to the existing models. The evaluation of the outcomes with two criteria, using average relative error and the normalized sum of squared error, proved the effectiveness and validity of the proposed equation. Using the proposed equation, the nonlinear relationship between shear strength, saturation degree, volumetric water content, and matric suction are observed.

Influence of Entrepreneur and Firm Characteristics in Accessing Bank finance

2021 ◽  
Vol 5 (3) ◽  
pp. 41-52
Author(s):  
Kili Muhindi Rop ◽  
◽  
Edgar Ouko Otumba ◽  
Peter Kibas ◽  
Bernard Kibet i Nassiuma ◽  
...  
Keyword(s):  
High Performance ◽  
Service Providers ◽  
Firm Characteristics ◽  
Chi Square ◽  
Business Plans ◽  
Access To Credit ◽  
Bank Financing ◽  
Business Form ◽  
Chi Square Test ◽  
Medium Enterprise

SMEs are mostly guided by the owners’ characteristics which is an indicator of the level of decisions taken in the firm. Access to credit is a prerequisite for a high performance of an SME. The paper aimed at establishing the empirical link between entrepreneurs and firm characteristics and access to bank financing by SMEs in Eldoret town. Descriptive and explanatory research designs were employed in the study. A chi-square test of association was used to determine the relationship between study variables. The study findings indicated that gender and number of employees had a significant influence on access to bank financing. Male entrepreneurs are more likely to get bank financing compared to their female counterparts, while an increase in the number of employees increases the success rate of getting bank financing. However, age, education, business form, number of years of operation, stage of business and average turnover were found to be insignificant in obtaining funding. The study concluded that entrepreneur characteristics namely gender and relation to business and firm characteristics specifically structure of the business, economic sector and the average turnover determines the likelihood of banks financing SMEs. Entrepreneurial and firm characteristics were found to be important in access to bank financing. The study recommended that government and other service providers incorporate additional simplified components to their training packages to cover such areas as bookkeeping and development of business plans. Banks should develop lending policies which are friendly to Small and Medium Enterprise contexts. Keywords: Entrepreneur, firm characteristics, access, bank financing, SMEs

A Novel QoS Aware Shortest Path Algorithm for VSDN

2017 ◽  
Vol 6 (1) ◽  
pp. 1-14
Author(s):  
Amandeep Kaur Sandhu ◽  
Jyoteesh Malhotra
Keyword(s):  
Energy Consumption ◽  
Shortest Path ◽  
Service Providers ◽  
Service Level Agreement ◽  
Service Level ◽  
Software Defined Networks ◽  
Shortest Path Algorithm ◽  
Internet Service ◽  
Decrease Energy Consumption

This article describes how a rapid increase in usage of internet has emerged from last few years. This high usage of internet has occurred due to increase in popularity of multimedia applications. However, there is no guarantee of Quality of Service to the users. To fulfill the desired requirements, Internet Service Providers (ISPs) establish a service level agreement (SLA) with clients including specific parameters like bandwidth, reliability, cost, power consumption, etc. ISPs make maximum SLAs and decrease energy consumption to raise their profit. As a result, users do not get the desired services for which they pay. Virtual Software Defined Networks are flexible and manageable networks which can be used to achieve these goals. This article presents shortest path algorithm which improves the matrices like energy consumption, bandwidth usage, successful allocation of nodes in the network using VSDN approach. The results show a 40% increase in the performance of proposed algorithms with a respect to existing algorithms.

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