Decoupling the programming model from resource management in throughput processors

2019 ◽  
pp. 69-115
Keyword(s):  
Resource Management ◽  
Programming Model

scholarly journals Optimal water allocation in Iran: a dynamic bi-level programming model

2018 ◽  
Vol 19 (4) ◽  
pp. 1120-1128 ◽  
Author(s):  
Liming Yao ◽  
Zhongwen Xu ◽  
Mahdi Moudi ◽  
Zongmin Li
Keyword(s):  
Resource Management ◽  
Water Resource ◽  
Water Allocation ◽  
Water Resource Management ◽  
Programming Model ◽  
Economic Recession ◽  
Economic Benefits ◽  
Resource Scarcity ◽  
Industrial Sectors ◽  
Upper Level

Abstract Water resource scarcity increases societal instability, poverty, and economic recession. Therefore, sound water resource management is vital to alleviating water crises in the agricultural, domestic, and industrial sectors. Southeast Iran, which currently lacks good water resource management, is experiencing a severe water crisis. Taking Zabol and Zahedan as examples, this paper seeks to optimize water allocation between the two cities using a dynamic bi-level programming model; the upper level objective minimizes the deviation between water demand and supply, and the lower level objective maximizes the net economic benefits in each sector. A sensitivity analysis is then conducted on the different sources of available water to provide more information on water allocation over time.

scholarly journals Optimization-Based Resource Management Algorithms with Considerations of Client Satisfaction and High Availability in Elastic 5G Network Slices

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1882
Author(s):  
Chiu-Han Hsiao ◽  
Frank Yeong-Sung Lin ◽  
Evana Szu-Han Fang ◽  
Yu-Fang Chen ◽  
Yean-Fu Wen ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Programming Model ◽  
Optimal Level ◽  
High Availability ◽  
Management Approach ◽  
Cloud Computing Environment ◽  
5G Network ◽  
Efficiency And Effectiveness ◽  
Resource Management Algorithms

A combined edge and core cloud computing environment is a novel solution in 5G network slices. The clients’ high availability requirement is a challenge because it limits the possible admission control in front of the edge cloud. This work proposes an orchestrator with a mathematical programming model in a global viewpoint to solve resource management problems and satisfying the clients’ high availability requirements. The proposed Lagrangian relaxation-based approach is adopted to solve the problems at a near-optimal level for increasing the system revenue. A promising and straightforward resource management approach and several experimental cases are used to evaluate the efficiency and effectiveness. Preliminary results are presented as performance evaluations to verify the proposed approach’s suitability for edge and core cloud computing environments. The proposed orchestrator significantly enables the network slicing services and efficiently enhances the clients’ satisfaction of high availability.

SoPHy+: Programming model and software platform for hybrid resource management of many-core accelerators

2016 ◽  
Vol 43 ◽  
pp. 47-58 ◽  
Author(s):  
Taeyoung Kim ◽  
Jintaek Kang ◽  
Sungchan Kim ◽  
Soonhoi Ha
Keyword(s):  
Resource Management ◽  
Programming Model ◽  
Software Platform ◽  
Many Core

Two-Stage Interval-Parameter Stochastic Programming Model Based on Adaptive Water Resource Management

2016 ◽  
Vol 30 (6) ◽  
pp. 2097-2109 ◽  
Author(s):  
Qiang Fu ◽  
Ke Zhao ◽  
Dong Liu ◽  
Qiuxiang Jiang ◽  
Tianxiao Li ◽  
...  
Keyword(s):  
Resource Management ◽  
Stochastic Programming ◽  
Water Resource ◽  
Water Resource Management ◽  
Programming Model ◽  
Interval Parameter ◽  
Two Stage ◽  
Model Based ◽  
Stochastic Programming Model
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