Composite SaaS Placement and Resource Optimization in Cloud Computing Using Evolutionary Algorithms

2012 ◽  
Author(s):  
Zeratul Izzah Mohd Yusoh ◽  
Maolin Tang
Keyword(s):  
Cloud Computing ◽  
Evolutionary Algorithms ◽  
Resource Optimization ◽  
Composite Saas

scholarly journals Fog Computing Resource Optimization: A Review on Current Scenarios and Resource Management

2019 ◽  
Vol 16 (2) ◽  
pp. 0419 ◽  
Author(s):  
Dar Et al.
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Fog Computing ◽  
Energy Resource ◽  
Optimization Methods ◽  
Resource Optimization ◽  
Data Generation ◽  
Computing Paradigm ◽  
Processing Power ◽  
Huge Data

            The unpredictable and huge data generation nowadays by smart computing devices like (Sensors, Actuators, Wi-Fi routers), to handle and maintain their computational processing power in real time environment by centralized cloud platform is difficult because of its limitations, issues and challenges, to overcome these, Cisco introduced the Fog computing paradigm as an alternative for cloud-based computing. This recent IT trend is taking the computing experience to the next level. It is an extended and advantageous extension of the centralized cloud computing technology. In this article, we tried to highlight the various issues that currently cloud computing is facing. Here in this research article, we present a comprehensive review of fog computing, differentiating it from cloud computing, also present various use-cases of fog computing in different domains, we came to conclude that Fog computing leads in an efficient energy resource management, leveraging the energy both in terms of consumption and cost scenarios. Further, we highlighted its key features, challenges and issues, resource optimization methods.

Enhanced Load Balancing Approach for Cloud Data Center Load Optimization

2021 ◽  
Vol 18 (4) ◽  
pp. 1270-1274
Author(s):  
J. Prassanna ◽  
V. Neelanarayanan
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Data Center ◽  
Resource Control ◽  
Resource Optimization ◽  
Computing Technology ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Load Optimization ◽  
Related Data

Cloud computing is a most popular technology that has huge response in markets. Cloud computing has the potential to access applications and their related data via the Internet anywhere. Most companies already pay for the use of cloud resources for storage purposes and ultimately reduce the costs of infrastructure spending. They can make use of this technology for accessing to company applications like pay-as-you-go approach. One of the major obstacles associated with cloud computing technology is to better optimization of resource allocation. Assigning of workloads to the servers using load balancing techniques is used to achieve less response time and better resource optimization across the server. Resource control and balance of load are the major conflicts in the cloud environment, which is why there are different load balancing algorithms, each with its own advantages and disadvantage. In order to achieve a better economy and mutual benefit, efficient algorithms can be derived simultaneously by optimizing servers, green computing and better utilization of resources. The objective of this paper is to analyze and enhance existing load balancing algorithms.

Resource Optimization for Multimedia Cloud Computing

2014 ◽  
pp. 21-46
Author(s):  
Xiaoming Nan ◽  
Yifeng He ◽  
Ling Guan
Keyword(s):  
Cloud Computing ◽  
Resource Optimization ◽  
Multimedia Cloud
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