QoS Oriented Enhancement based on the Analysis of Dynamic Job Scheduling in HPC

2014 ◽  
Vol 6 (4) ◽  
pp. 28-45 ◽  
Author(s):  
Reshmi Raveendran ◽  
D. Shanthi Saravanan
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
High Performance ◽  
Large Scale ◽  
Job Scheduling ◽  
Dynamic Scheduling ◽  
Future Research ◽  
Dynamic Allocation ◽  
The Impact

With the advent of High Performance Computing (HPC) in the large-scale parallel computational environment, better job scheduling and resource allocation techniques are required to deliver Quality of Service (QoS). Therefore, job scheduling on a large-scale parallel system has been studied to minimize the queue time, response time, and to maximize the overall system utilization. The objective of this paper is to touch upon the recent methods used for dynamic resource allocation across multiple computing nodes and the impact of scheduling algorithms. In addition, a quantitative approach which explains a trend line analysis on dynamic allocation for batch processors is depicted. Throughout the survey, the trends in research on dynamic allocation and parallel computing is identified, besides, highlights the potential areas for future research and development. This study proposes the design for an efficient dynamic scheduling algorithm based on the Quality-of-Service. The analysis provides a compelling research platform to optimize dynamic scheduling of jobs in HPC.

QoS Oriented Enhancement based on the Analysis of Dynamic Job Scheduling in HPC

2016 ◽  
pp. 1800-1817
Author(s):  
Reshmi Raveendran ◽  
D. Shanthi Saravanan
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Large Scale ◽  
Job Scheduling ◽  
Dynamic Scheduling ◽  
Future Research ◽  
Dynamic Allocation ◽  
System Utilization ◽  
Batch Processors

With the advent of High Performance Computing (HPC) in the large-scale parallel computational environment, better job scheduling and resource allocation techniques are required to deliver Quality of Service (QoS). Therefore, job scheduling on a large-scale parallel system has been studied to minimize the queue time, response time, and to maximize the overall system utilization. The objective of this paper is to touch upon the recent methods used for dynamic resource allocation across multiple computing nodes and the impact of scheduling algorithms. In addition, a quantitative approach which explains a trend line analysis on dynamic allocation for batch processors is depicted. Throughout the survey, the trends in research on dynamic allocation and parallel computing is identified, besides, highlights the potential areas for future research and development. This study proposes the design for an efficient dynamic scheduling algorithm based on the Quality-of-Service. The analysis provides a compelling research platform to optimize dynamic scheduling of jobs in HPC.

scholarly journals Scheduling Parallel Jobs Using Migration and Consolidation in the Cloud

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Xiaocheng Liu ◽  
Bin Chen ◽  
Xiaogang Qiu ◽  
Ying Cai ◽  
Kedi Huang
Keyword(s):  
Quality Of Service ◽  
High Performance ◽  
Large Scale ◽  
Job Scheduling ◽  
Scheduling Algorithm ◽  
Parallel Applications ◽  
Parallel Job Scheduling ◽  
Parallel Job ◽  
Job Scheduling Problem

An increasing number of high performance computing parallel applications leverages the power of the cloud for parallel processing. How to schedule the parallel applications to improve the quality of service is the key to the successful host of parallel applications in the cloud. The large scale of the cloud makes the parallel job scheduling more complicated as even simple parallel job scheduling problem is NP-complete. In this paper, we propose a parallel job scheduling algorithm named MEASY. MEASY adopts migration and consolidation to enhance the most popular EASY scheduling algorithm. Our extensive experiments on well-known workloads show that our algorithm takes very good care of the quality of service. For two common parallel job scheduling objectives, our algorithm produces an up to 41.1% and an average of 23.1% improvement on the average response time; an up to 82.9% and an average of 69.3% improvement on the average slowdown. Our algorithm is robust even in terms that it allows inaccurate CPU usage estimation and high migration cost. Our approach involves trivial modification on EASY and requires no additional technique; it is practical and effective in the cloud environment.

Myths and Realities: A Comparative Examination of the Impact of “Boom” and “Bust” Conditions on the Quality of Community Life

1983 ◽  
Vol 2 (S1) ◽  
pp. 81-91
Author(s):  
Aldred Neufeldt ◽  
Gillian Doherty ◽  
Jeff Finkelstein
Keyword(s):  
Large Scale ◽  
Future Research ◽  
Service Needs ◽  
Community Life ◽  
Northern Ontario ◽  
Boom And Bust ◽  
Phases Of Development ◽  
The Impact ◽  
Comparative Examination

Popular perceptions of “boom” and “bust” communities, supported by some of the earlier literature and anecdotal descriptions of life in such circumstances, have suggested that the quality of life in these conditions is seriously jeopardized. On the basis of an examination of one “boom” and two “bust” communities in Northern Ontario along with several comparison communities, and an examination of the available literature, some of the earlier claims of large scale social casualty rates are questioned. Both “boom” and “bust” communities appear to experience predictable phases of development. It is suggested that the principal human service needs vary from stage to stage in both. A number of implications for program planners are identified. It is suggested that future research would most profitably be devoted to longitudinal studies of communities entering either a “boom” or “bust” phase.

QoS-based Job Scheduling and Resource Management Strategies for Grid Computing

2011 ◽  
pp. 110-127
Author(s):  
Kuo-Chan Huang ◽  
Po-Chi Shih ◽  
Yeh-Ching Chung
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Job Scheduling ◽  
Performance Metrics ◽  
Management Strategies ◽  
Load Sharing ◽  
Computational Grid ◽  
Qos Performance ◽  
Grid Level

This chapter elaborates the quality of service (QoS) aspect of load sharing activities in a computational grid environment. Load sharing is achieved through appropriate job scheduling and resource allocation mechanisms. A computational grid usually consists of several geographically distant sites each with different amount of computing resources. Different types of grids might have different QoS requirements. In most academic or experimental grids the computing sites volunteer to join the grids and can freely decide to quit the grids at any time when they feel joining the grids bring them no benefits. Therefore, maintaining an appropriate QoS level becomes an important incentive to attract computing sites to join a grid and stay in it. This chapter explores the QoS issues in such type of academic and experimental grids. This chapter first defines QoS based performance metrics for evaluating job scheduling and resource allocation strategies. According to the QoS performance metrics appropriate grid-level load sharing strategies are developed. The developed strategies address both user-level and site-level QoS concerns. A series of simulation experiments were performed to evaluate the proposed strategies based on real and synthetic workloads.

scholarly journals Customer-Bank Relationship in Commercial Banks Operating in Albania

2016 ◽  
Vol 1 (1) ◽  
pp. 254
Author(s):  
Jasmina Lumanaj ◽  
Virtyt Lesha
Keyword(s):  
Quality Of Service ◽  
Service Quality ◽  
Commercial Banks ◽  
High Performance ◽  
Significant Contribution ◽  
Dynamic Environment ◽  
Decision Makers ◽  
The Impact ◽  
The Relationship

Financial institutions with high performance are always looking to the needs and requirements of their clients, in order to survive and compete successfully in today's dynamic environment of corporations. For this reason researchers have stressed repeatedly the importance of customer satisfaction, loyalty and customer-bank relationship. The aim of this study is to develop a better theoretical and practical understanding of the impact that quality of service has in customer-bank relationship. This study examines the perception of service quality by clients of commercial banks operating in Albania and the effect that this quality has in customer-bank relationship. Measuring the perception of service quality is based on SERVQUAL model proposed by Parasuraman, Zeithaml - Berry (1988), while the measurement of customer-bank relationship is made according to the model proposed by Ward - Dagger (2007). Results of this analysis indicate that the quality of service is an important prerequisite of customer-bank relationship. From this study it is clear that managers and decision-makers in commercial banks in Albania seek to improve the quality of service elements, which constitute the most significant contribution to the improvement and strengthening of the relationship.

QoS-Based Job Scheduling and Resource Management Strategies for Grid Computing

2012 ◽  
pp. 1315-1331
Author(s):  
Kuo-Chan Huang ◽  
Po-Chi Shih ◽  
Yeh-Ching Chung
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Job Scheduling ◽  
Performance Metrics ◽  
Management Strategies ◽  
Load Sharing ◽  
Computational Grid ◽  
Qos Performance ◽  
Grid Level

This chapter elaborates the quality of service (QoS) aspect of load sharing activities in a computational grid environment. Load sharing is achieved through appropriate job scheduling and resource allocation mechanisms. A computational grid usually consists of several geographically distant sites each with different amount of computing resources. Different types of grids might have different QoS requirements. In most academic or experimental grids the computing sites volunteer to join the grids and can freely decide to quit the grids at any time when they feel joining the grids bring them no benefits. Therefore, maintaining an appropriate QoS level becomes an important incentive to attract computing sites to join a grid and stay in it. This chapter explores the QoS issues in such type of academic and experimental grids. This chapter first defines QoS based performance metrics for evaluating job scheduling and resource allocation strategies. According to the QoS performance metrics appropriate grid-level load sharing strategies are developed. The developed strategies address both user-level and site-level QoS concerns. A series of simulation experiments were performed to evaluate the proposed strategies based on real and synthetic workloads.

scholarly journals Service Quality in Hospitality and the Sustainability Effect: Systematic Literature Review and Future Research Agenda

2020 ◽  
Vol 12 (19) ◽  
pp. 8152
Author(s):  
Marc Oliveras-Villanueva ◽  
Josep Llach ◽  
Jordi Perramon
Keyword(s):  
Quality Of Service ◽  
Research Agenda ◽  
Future Research ◽  
Business Success ◽  
Sustainable Practices ◽  
Future Research Agenda ◽  
Hospitality Sector ◽  
Research Questions ◽  
The Impact

This article presents a systematic review of the literature on quality of service and sustainable practices in the hospitality sector with the objective of analyzing the state of the art, identifying gaps for future lines of research, and defining a future research agenda. The number of articles on these topics, although not particularly high, does demonstrate a growing trend. Despite this growth, however, several untreated lines of research were detected in three specific areas. In the first area, emphasis is placed on the critical factors that affect the quality of service. In the second area are the specific practices and tools of sustainability and quality of service that affect development and business success. Finally, the third section analyses the impact of strategies and the management of sustainable practices and quality of service with respect to business development. Research questions have been defined for each area.

scholarly journals IoT OTH Maritime Surveillance Service over Satellite Network in Equatorial Environment: Analysis, Design and Deployment

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2070
Author(s):  
Ranko Petrovic ◽  
Dejan Simic ◽  
Zoran Cica ◽  
Dejan Drajic ◽  
Marko Nerandzic ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Large Scale ◽  
Satellite Communication ◽  
Sensor Data ◽  
Gulf Of Guinea ◽  
Fusion Algorithm ◽  
Surveillance Network ◽  
Maritime Surveillance ◽  
The Impact

This paper explores the challenges and constraints when over the horizon (OTH) maritime surveillance service utilizes an Internet of Things (IoT) as its backbone. The service is based on High Frequency Surface Wave Radars (HFSWRs) and relies on a satellite communication network as its communication infrastructure in harsh environments. The complete IoT OTH maritime surveillance network is currently deployed in the Gulf of Guinea, which due to its tropical climate represents an unfavorable environment for sensors and communications. In this paper, we have examined the service performance under various meteorological conditions specific to the Gulf of Guinea. To the best of our knowledge, this is the first analysis of IoT OTH maritime surveillance service in equatorial environment. Our analysis aims to mathematically describe the impact of harsh weather conditions on the performance of the service in order to mitigate it with careful overall system design and provide constant quality of the service. Analyses presented in the paper show that average service latency is about 90 s, but it can rise to about 120 s, which is used as a key information during the sensor data fusion algorithm design. Validity of the analyses is demonstrated through high quality of service with an outage probability of just 0.1% in the driest months up to the 0.7% in the rainiest months. The work presented here can be used as a guideline for deployment of maritime surveillance service solutions in other equatorial regions. Moreover, the gained experience presented in this paper will significantly facilitate future expansions of the existing maritime surveillance network with more HFSWRs. This will be done in such a way that it will not affect the quality of service of the entire system on a large scale.

Self-Compassion and Quality of Life in Adults Who Stutter

2020 ◽  
Vol 29 (4) ◽  
pp. 2097-2108
Author(s):  
Robyn L. Croft ◽  
Courtney T. Byrd
Keyword(s):  
Quality Of Life ◽  
Social Connectedness ◽  
The Self ◽  
Future Research ◽  
Self Compassion ◽  
Adults Who Stutter ◽  
And Gender ◽  
Relationship Of ◽  
The Impact

Purpose The purpose of this study was to identify levels of self-compassion in adults who do and do not stutter and to determine whether self-compassion predicts the impact of stuttering on quality of life in adults who stutter. Method Participants included 140 adults who do and do not stutter matched for age and gender. All participants completed the Self-Compassion Scale. Adults who stutter also completed the Overall Assessment of the Speaker's Experience of Stuttering. Data were analyzed for self-compassion differences between and within adults who do and do not stutter and to predict self-compassion on quality of life in adults who stutter. Results Adults who do and do not stutter exhibited no significant differences in total self-compassion, regardless of participant gender. A simple linear regression of the total self-compassion score and total Overall Assessment of the Speaker's Experience of Stuttering score showed a significant, negative linear relationship of self-compassion predicting the impact of stuttering on quality of life. Conclusions Data suggest that higher levels of self-kindness, mindfulness, and social connectedness (i.e., self-compassion) are related to reduced negative reactions to stuttering, an increased participation in daily communication situations, and an improved overall quality of life. Future research should replicate current findings and identify moderators of the self-compassion–quality of life relationship.

Citizen Deliberation Online

2019 ◽  
pp. 689-712
Author(s):  
Patrícia Rossini ◽  
Jennifer Stromer-Galley
Keyword(s):  
Political Engagement ◽  
Future Research ◽  
The Internet ◽  
Digital Platforms ◽  
The Core ◽  
Political Conversation ◽  
Political Talk ◽  
Citizen Deliberation ◽  
The Impact

Political conversation is at the heart of democratic societies, and it is an important precursor of political engagement. As society has become intertwined with the communication infrastructure of the Internet, we need to understand its uses and the implications of those uses for democracy. This chapter provides an overview of the core topics of scholarly concern around online citizen deliberation, focusing on three key areas of research: the standards of quality of communication and the normative stance on citizen deliberation online; the impact and importance of digital platforms in structuring political talk; and the differences between formal and informal political talk spaces. After providing a critical review of these three major areas of research, we outline directions for future research on online citizen deliberation.

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