Architectural Strategies for Green Cloud Computing

2013 ◽  
pp. 218-242 ◽  
Author(s):  
P. Sasikala
Keyword(s):  
Cloud Computing ◽  
Service Oriented Architecture ◽  
Green Cloud Computing ◽  
Business Agility ◽  
Service Oriented ◽  
Application Deployment ◽  
Green Cloud ◽  
Self Service ◽  
And Performance ◽  
Cloud Network

Opportunities for improving IT efficiency and performance through centralization of resources have increased dramatically in the past few years with the maturation of technologies, such as service oriented architecture, virtualization, grid computing, and management automation. A natural outcome of this is what has become increasingly referred to as cloud computing, where a consumer of computational capabilities sets up or makes use of computing in the cloud network in a self service manner. Cloud computing is evolving, and enterprises are setting up cloud-like, centralized shared infrastructures with automated capacity adjustment that internal departmental customers utilize in a self service manner. Cloud computing promises to speed application deployment, increase innovation, and lower costs all while increasing business agility. This paper discusses the various architectural strategies for clean and green cloud computing. It suggests a variety of ways to take advantage of cloud applications and help identify key issues to figure out the best approach for research and business.

Architectural Strategies for Green Cloud Computing

2011 ◽  
Vol 1 (4) ◽  
pp. 1-24 ◽  
Author(s):  
P. Sasikala
Keyword(s):  
Cloud Computing ◽  
Service Oriented Architecture ◽  
Green Cloud Computing ◽  
Business Agility ◽  
Service Oriented ◽  
Green Cloud ◽  
Self Service ◽  
And Performance ◽  
Cloud Network ◽  
It Efficiency

Opportunities for improving IT efficiency and performance through centralization of resources have increased dramatically in the past few years with the maturation of technologies, such as service oriented architecture, virtualization, grid computing, and management automation. A natural outcome of this is what has become increasingly referred to as cloud computing, where a consumer of computational capabilities sets up or makes use of computing in the cloud network in a self service manner. Cloud computing is evolving, and enterprises are setting up cloud-like, centralized shared infrastructures with automated capacity adjustment that internal departmental customers utilize in a self service manner. Cloud computing promises to speed application deployment, increase innovation, and lower costs all while increasing business agility. This paper discusses the various architectural strategies for clean and green cloud computing. It suggests a variety of ways to take advantage of cloud applications and help identify key issues to figure out the best approach for research and business.

Event Pattern Discovery in Multi-Cloud Service-Based Applications

2015 ◽  
Vol 5 (4) ◽  
pp. 78-103 ◽  
Author(s):  
Chrysostomos Zeginis ◽  
Kyriakos Kritikos ◽  
Dimitris Plexousakis
Keyword(s):  
Traffic Management ◽  
Service Oriented Architecture ◽  
Cloud Service ◽  
Service Level ◽  
Critical Event ◽  
Service Oriented ◽  
Application Deployment ◽  
And Performance ◽  
Multiple Clouds ◽  
Multi Cloud

The adoption of Cloud computing in the Service Oriented Architecture (SOA) world is continuously increasing. However, as developers try to optimize their application deployment cost and performance, they may also deploy application parts redundantly on different VMs. In such heterogeneous and distributed environments, it is important to have a clear view of the system's state and its components' interrelationships. This paper aims at proposing a novel monitoring and adaptation framework for Service-based Applications (SBAs) deployed on multiple Clouds. The main functionality of this framework is the discovery of critical event patterns within monitoring event streams, leading to specific Service Level Objective (SLO) violations. Furthermore, two main meta-models are proposed for describing the SBA's components and their dependencies, and the supported adaptation actions in a specific context respectively. The proposed approach is empirically evaluated based on a real-world traffic management application.

scholarly journals Data as a Service using Data Hibernation and Service Oriented Architecture in Cloud Computing

2020 ◽  
Vol 8 (5) ◽  
pp. 2432-2436
Keyword(s):  
Cloud Computing ◽  
Performance Improvement ◽  
Service Oriented Architecture ◽  
Modern Technology ◽  
Research Field ◽  
Service Oriented ◽  
Using Data ◽  
Data As A Service ◽  
Cloud Network

Nowadays, Cloud Computing is a promising research field. With the advancement of modern technology, performance improvement of the cloud network has become the buzzword today. Here in this paper, we have proposed the new technique, called ‘Data Hibernation’ where service-oriented architecture plays the key role for the improvement of the cloud network. Moreover, we have designed our algorithm and demonstrated our work graphically that how the overall efficiency or the throughput has reached its apex level of Quality of Service with the subtle benefit of much higher degree of parallelism.

scholarly journals Shadow Replication: An Energy-Aware, Fault-Tolerant Computational Model for Green Cloud Computing

Energies ◽  
2014 ◽  
Vol 7 (8) ◽  
pp. 5151-5176 ◽  
Author(s):  
Xiaolong Cui ◽  
Bryan Mills ◽  
Taieb Znati ◽  
Rami Melhem
Keyword(s):  
Cloud Computing ◽  
Computational Model ◽  
Fault Tolerant ◽  
Energy Aware ◽  
Green Cloud Computing ◽  
Green Cloud
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