Evaluation of Optimal Resource Allocation Method for Cloud Computing Environments with Limited Electric Power Capacity

2011 ◽  
Author(s):  
Kazuki Mochizuki ◽  
Shin-ichi Kuribayashi
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Electric Power ◽  
Power Capacity ◽  
Optimal Resource Allocation ◽  
Allocation Method ◽  
Optimal Resource ◽  
Computing Environments

Fault aware hybrid harmony search technique for optimal resource allocation in cloud

2021 ◽  
pp. 1-13
Author(s):  
Punit Gupta ◽  
Sanjeet Bhagat ◽  
Pradeep Rawat
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Harmony Search ◽  
Optimal Solution ◽  
Performance Criteria ◽  
Cloud System ◽  
Optimal Resource Allocation ◽  
Time Duration ◽  
Task Failure ◽  
Optimal Resource

The evolution of cloud computing is increasing exponentially which provides everything as a service. Clouds made it possible to move a huge amount of data over the networks on-demand. It removed the physical necessity of resources as resources are available virtually over the networks. Emerge of new technologies improvising the cloud system and trying to overcome cloud computing challenges like resource optimization, securities etc. Proper utilization of resources is still a primary target for the cloud system as it will increase the cost and time efficiency. Cloud is a pay-per-uses basis model which needs to perform in a flexible manner with the increase and decrease in demand on every level. In general, cloud is assumed to be non-faulty but faulty is a part of any system. This article focuses on the hybridization of Neural networks with the harmony Search Algorithm (HSA). The hybrid approach achieves a better optimal solution in a feasible time duration in the faulty environment to improve the task failure and improve reliability. The harmony Search approach is inspired from the music improvisation technique, where notes are adjusted until perfect harmony is matched. HS (Harmony search) is chosen, as it is capable to provide an optimal solution in a feasible time, even for complex optimization problems. An ANN-HS model is introduced to achieve optimal resource allocation. The presented model is inspired by Harmony Search and ANN. The proposed model considers multi-objective criteria. The performance criteria include execution time, task failure count and power consumption(Kwh).

Efficient Market Design and Public Goods, Part I: Economic Models

2010 ◽  
Vol 11 (1) ◽  
Author(s):  
David Toomey ◽  
William D Schulze ◽  
Robert Thomas ◽  
James S Thorp ◽  
Daniel J Tylavsky ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Public Goods ◽  
Constrained Optimization ◽  
Electric Power ◽  
Electric Power Industry ◽  
Economic Problem ◽  
Optimization Approach ◽  
Optimal Resource Allocation ◽  
Optimal Resource ◽  
Technological Constraints

The theory used by economists to support restructuring of the electric power industry has ignored several important technological constraints and public goods that affect the way in which power is delivered. Similarly, engineers, by using security-constrained optimization to incorporate the demand for reliability, have failed to properly define the economic problem. In this two-part paper we attempt to remedy the deficiencies of both the economists’ approach and the security-constrained optimization approach through a collaboration of economists and engineers to examine the theoretical properties of a networked power system that provides optimal resource allocation.

Sign in / Sign up

Export Citation Format

Share Document