Managing Resource Allocation and Task Prioritization Decisions in Large Scale Virtual Collaborative Development Projects

2010 ◽  
Vol 23 (2) ◽  
Keyword(s):  
Resource Allocation ◽  
Large Scale ◽  
Development Projects ◽  
Collaborative Development ◽  
Task Prioritization ◽  
And Task

Managing Resource Allocation and Task Prioritization Decisions in Large Scale Virtual Collaborative Development Projects

2010 ◽  
Vol 23 (2) ◽  
pp. 53-76 ◽  
Author(s):  
Sharif H. Melouk ◽  
Uzma Raja ◽  
Burcu B. Keskin
Keyword(s):  
Resource Allocation ◽  
Open Source ◽  
Large Scale ◽  
Development Project ◽  
Operational Performance ◽  
Software Systems ◽  
Software System ◽  
Collaborative Development ◽  
Task Prioritization ◽  
And Task

The authors use a simulation approach to determine effective management of resource allocation and task prioritization decisions for the development of open source enterprise solutions software in the context of a large scale collaborative development project (CDP). Unlike traditional software systems where users have limited access to the development team, in open source environments, the resolution of issues is a collaborative effort among users and the team. However, as the project grows in size, complexity, and usage, effective allocation of resources and prioritization of tasks become a necessity to improve the operational performance of the software system. In this paper, by mining an open source software repository, the authors analyze the effects of collaborative issue resolution in a CDP and its effects on resource allocation of the team developers. This article examines several scenarios to evaluate the effects of forum discussions, resource allocation, and task prioritization on operational performance of the software system.

scholarly journals Modern approaches to modeling user requirements on resource and task allocation in hierarchical computational grids

2011 ◽  
Vol 21 (2) ◽  
pp. 243-257 ◽  
Author(s):  
Joanna Kołodziej ◽  
Fatos Xhafa
Keyword(s):  
Resource Allocation ◽  
Task Allocation ◽  
Large Scale ◽  
High Efficiency ◽  
Equilibrium Points ◽  
Hierarchical Architecture ◽  
Computational Grids ◽  
Complex Nature ◽  
User Requirements ◽  
And Task

Modern approaches to modeling user requirements on resource and task allocation in hierarchical computational grids Tasks scheduling and resource allocation are among crucial issues in any large scale distributed system, including Computational Grids (CGs). These issues are commonly investigated using traditional computational models and resolution methods that yield near-optimal scheduling strategies. One drawback of such approaches is that they cannot effectively tackle the complex nature of CGs. On the one hand, such systems account for many administrative domains with their own access policies, user privileges, etc. On the other, CGs have hierarchical nature and therefore any computational model should be able to effectively express the hierarchical architecture in the optimization model. Recently, researchers have been investigating the use of game theory for modeling user requirements regarding task and resource allocation in grid scheduling problems. In this paper we present two general non-cooperative game approaches, namely, the symmetric non-zero sum game and the asymmetric Stackelberg game for modeling grid user behavior defined as user requirements. In our game-theoretic approaches we are able to cast new requirements arising in allocation problems, such as asymmetric users relations, security and reliability restrictions in CGs. For solving the games, we designed and implemented GA-based hybrid schedulers for approximating the equilibrium points for both games. The proposed hybrid resolution methods are experimentally evaluated through the grid simulator under heterogeneity, and large-scale and dynamics conditions. The relative performance of the schedulers is measured in terms of the makespan and flowtime metrics. The experimental analysis showed high efficiency of meta-heuristics in solving the game-based models, especially in the case of an additional cost of secure task scheduling to be paid by the users.

scholarly journals Resource Allocation in Large-Scale Wireless Control Systems with Graph Neural Networks

2020 ◽  
Vol 53 (2) ◽  
pp. 2634-2641
Author(s):  
Vinicius Lima ◽  
Mark Eisen ◽  
Konstatinos Gatsis ◽  
Alejandro Ribeiro
Keyword(s):  
Neural Networks ◽  
Resource Allocation ◽  
Control Systems ◽  
Large Scale ◽  
Wireless Control ◽  
Graph Neural Networks

scholarly journals Resource allocation in the Covid-19 health crisis: are Covid-19 preventive measures consistent with the Rule of Rescue?

2021 ◽  
Author(s):  
Julian W. März ◽  
Søren Holm ◽  
Michael Schlander
Keyword(s):  
Resource Allocation ◽  
Large Scale ◽  
Preventive Measures ◽  
Risk Groups ◽  
Healthcare Resources ◽  
Health Crisis ◽  
Rule Of Rescue ◽  
Post War ◽  
Vaccination Campaigns ◽  
N95 Respirators

AbstractThe Covid-19 pandemic has led to a health crisis of a scale unprecedented in post-war Europe. In response, a large amount of healthcare resources have been redirected to Covid-19 preventive measures, for instance population-wide vaccination campaigns, large-scale SARS-CoV-2 testing, and the large-scale distribution of protective equipment (e.g., N95 respirators) to high-risk groups and hospitals and nursing homes. Despite the importance of these measures in epidemiological and economic terms, health economists and medical ethicists have been relatively silent about the ethical rationales underlying the large-scale allocation of healthcare resources to these measures. The present paper seeks to encourage this debate by demonstrating how the resource allocation to Covid-19 preventive measures can be understood through the paradigm of the Rule of Rescue, without claiming that the Rule of Rescue is the sole rationale of resource allocation in the Covid-19 pandemic.

scholarly journals Tackling resistance: emerging antimalarials and new parasite targets in the era of elimination

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 1170 ◽  
Author(s):  
Emily S. Mathews ◽  
Audrey R. Odom John
Keyword(s):  
Drug Resistance ◽  
Malaria Elimination ◽  
Large Scale ◽  
Therapeutic Targets ◽  
Control Measures ◽  
Multi Drug Resistance ◽  
Development Projects ◽  
Combination Therapies ◽  
The Past ◽  
Antimalarial Compounds

Malaria remains a significant contributor to global human mortality, and roughly half the world’s population is at risk for infection with Plasmodium spp. parasites. Aggressive control measures have reduced the global prevalence of malaria significantly over the past decade. However, resistance to available antimalarials continues to spread, including resistance to the widely used artemisinin-based combination therapies. Novel antimalarial compounds and therapeutic targets are greatly needed. This review will briefly discuss several promising current antimalarial development projects, including artefenomel, ferroquine, cipargamin, SJ733, KAF156, MMV048, and tafenoquine. In addition, we describe recent large-scale genetic and resistance screens that have been instrumental in target discovery. Finally, we highlight new antimalarial targets, which include essential transporters and proteases. These emerging antimalarial compounds and therapeutic targets have the potential to overcome multi-drug resistance in ongoing efforts toward malaria elimination.

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