Application Hosting Services in a Virtual Organization That Supports Multiple Grid Environments

2008 ◽  
Author(s):  
Hitohide Usami ◽  
Hiroyuki Kanazawa
Keyword(s):  
Virtual Organization ◽  
Grid Environments ◽  
Application Hosting

Application Hosting Services for Research Community on Multiple Grid Environments

2010 ◽  
Vol 5 (4) ◽  
pp. 152-163
Author(s):  
Hiroyuki Kanazawa ◽  
Naoki Onishi ◽  
Yuri Mizusawa ◽  
Takahiro Tsunekawa ◽  
Hitohide Usami
Keyword(s):  
Research Community ◽  
Grid Environments ◽  
Application Hosting

An Energy Efficient Authentication Scheme based on Chebyshev Chaotic Map for Smart Grid Environments

2021 ◽  
pp. 1-1
Author(s):  
Liping Zhang ◽  
Yue Zhu ◽  
Wei Ren ◽  
Yinghan Wang ◽  
Kim-Kwang Raymond Choo ◽  
...  
Keyword(s):  
Smart Grid ◽  
Energy Efficient ◽  
Chaotic Map ◽  
Authentication Scheme ◽  
Chebyshev Chaotic Map ◽  
Grid Environments

scholarly journals An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 867
Author(s):  
Dharmendra Sharma ◽  
Jari Rehu ◽  
Klaus Känsälä ◽  
Heikki Ailisto
Keyword(s):  
Control Signal ◽  
External Control ◽  
Data Logging ◽  
Building Energy Management ◽  
Hardware System ◽  
Temperature Thresholds ◽  
Grid Environments ◽  
End Use ◽  
Maintenance Requirements ◽  
Control And Management

This paper presents a software-based modular and hierarchical building energy management system (BEMS) to control the power consumption in sensor-equipped buildings. In addition, the need of this type of solution is also highlighted by presenting the worldwide trends of thermal energy end use in buildings and peak power problems. Buildings are critical component of smart grid environments and bottom-up BEMS solutions are need of the hour to optimize the consumption and to provide consumption side flexibility. This system is able to aggregate the controls of the all-controllable resources in building to realize its flexible power capacity. This system provides a solution for consumer to aggregate the controls of ‘behind-the-meter’ small loads in short response and provide ‘deep’ demand-side flexibility. This system is capable of discovery, status check, control and management of networked loads. The main novelty of this solution is that it can handle the heterogeneity of the installed hardware system along with time bound changes in the load device network and its scalability; resulting in low maintenance requirements after deployment. The control execution latency (including data logging) of this BEMS system for an external control signal is less than one second per connected load. In addition, the system is capable of overriding the external control signal in order to maintain consumer coziness within the comfort temperature thresholds. This system provides a way forward in future for the estimation of the energy stored in the buildings in the form of heat/temperature and use buildings as temporary batteries when electricity supply is constrained or abundant.

scholarly journals A GENETIC APPROACH FOR LONG TERM VIRTUAL ORGANIZATION DISTRIBUTION

2011 ◽  
Vol 20 (02) ◽  
pp. 271-295 ◽  
Author(s):  
VÍCTOR SÁNCHEZ-ANGUIX ◽  
SOLEDAD VALERO ◽  
ANA GARCÍA-FORNES
Keyword(s):  
Genetic Algorithm ◽  
Virtual Organization ◽  
Genetic Material ◽  
Multi Agent System ◽  
Crossover Operator ◽  
Agent Based ◽  
Multi Agent ◽  
Global Goal ◽  
Computational Resources

An agent-based Virtual Organization is a complex entity where dynamic collections of agents agree to share resources in order to accomplish a global goal or offer a complex service. An important problem for the performance of the Virtual Organization is the distribution of the agents across the computational resources. The final distribution should provide a good load balancing for the organization. In this article, a genetic algorithm is applied to calculate a proper distribution across hosts in an agent-based Virtual Organization. Additionally, an abstract multi-agent system architecture which provides infrastructure for Virtual Organization distribution is introduced. The developed genetic solution employs an elitist crossover operator where one of the children inherits the most promising genetic material from the parents with higher probability. In order to validate the genetic proposal, the designed genetic algorithm has been successfully compared to several heuristics in different scenarios.

A resource aware software partitioning algorithm based on mobility constraints in pervasive grid environments

2008 ◽  
Vol 24 (6) ◽  
pp. 512-529 ◽  
Author(s):  
Songqiao Han ◽  
Shensheng Zhang ◽  
Jian Cao ◽  
Ye Wen ◽  
Yong Zhang
Keyword(s):  
Grid Environments ◽  
Partitioning Algorithm ◽  
Resource Aware ◽  
Software Partitioning

Grid Computing

2014 ◽  
Vol 3 (3) ◽  
pp. 67-78
Author(s):  
Ileana Dumitru
Keyword(s):  
Grid Computing ◽  
Virtual Organization ◽  
The Internet ◽  
Computing Systems ◽  
Computing Technologies ◽  
Look Back ◽  
Potential Impact ◽  
To Come ◽  
The Web

To calculate the potential impact of grid on the enterprise, one just needs to look back a decade or so ago. Those who remember how LANs developed in company years before the Web was born can easily get a picture of how Grid Computing in corporations may change in the years to come. In the early days of the Internet, there was a strong opposition to linking computers together in a network. Ultimately, however, the Internet has become a ubiquitous tool, and many experts predict the same outcome for Grid Computing on the enterprise. There are still concerns to consider and obstacles to be overcome, but the momentum behind corporate Grid Computing is quickly gathering pace. The integration of Grid Computing technologies into enterprise computing systems can provide a much richer range of possibilities. This integration should provide enhanced capabilities and interoperability to meet current virtual organization demands.

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