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.

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.

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

scholarly journals A Multiserver User-space Unikernel for a Distributed Virtualization System

2019 ◽  
Author(s):  
Pablo Pessolani
Keyword(s):  
Service Oriented Architecture ◽  
Virtual Machines ◽  
Management Tools ◽  
Resource Requirements ◽  
Service Oriented ◽  
Small Footprint ◽  
Memory Network ◽  
User Space ◽  
Attack Surface ◽  
And Performance

Nowadays, most Cloud applications are developed using Service Oriented Architecture (SOA) or MicroService Architecture (MSA). The scalability and performance of them is achieved by executing multiple instances of its components in different nodes of a virtualization cluster. Initially, they were deployed in Virtual Machines (VMs) but, they required enough computational, memory, network and storage resources to hold an Operating System (OS), a set of utilities, libraries, and the application component. By deploying hundreds of these application components, the resource requirements increase a lot. To minimize them, usually small footprint OS are used. Later, as management tools were improved, the application components began to be deployed in Containers which require even less resources than VMs. Another way to reduce the resource requirements is integrating the application components in a Unikernel. This article proposes a Unikernel called MUK, based on a multiserver OS, to be used as a tool to integrate Cloud application components. MUK was built to run in user-space inside a Container of a Distributed Virtualization System. Both technologies facilitate the scattering of application components in a virtualization cluster keeping the isolation properties and minimal attack surface of a Unikernel.

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