A Service-Oriented Virtual Machine for Grid Applications

2006 ◽  
Author(s):  
Hong Liu ◽  
Wei Li ◽  
Xiaoning Wang ◽  
Yili Gong ◽  
Tian Luo
Keyword(s):  
Virtual Machine ◽  
Service Oriented ◽  
Grid Applications

Service-Oriented Virtual Machine Placement Optimization for Green Data Center

2015 ◽  
Vol 20 (5) ◽  
pp. 556-566 ◽  
Author(s):  
Fan-Hsun Tseng ◽  
Chi-Yuan Chen ◽  
Li-Der Chou ◽  
Han-Chieh Chao ◽  
Jian-Wei Niu
Keyword(s):  
Virtual Machine ◽  
Data Center ◽  
Virtual Machine Placement ◽  
Placement Optimization ◽  
Service Oriented ◽  
Green Data Center

scholarly journals Service Oriented Virtual Machine for Maximising Quality of Service in Wireless Networks

2021 ◽  
Vol 1964 (4) ◽  
pp. 042086
Author(s):  
K Radhika ◽  
Y Murali Mohan Babu ◽  
J K Periasamy ◽  
T R Saravanan
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Virtual Machine ◽  
Service Oriented

MASON: A Model for Adapting Service-Oriented Grid Applications

2004 ◽  
pp. 99-107 ◽  
Author(s):  
Gang Li ◽  
Jianwu Wang ◽  
Jing Wang ◽  
Yanbo Han ◽  
Zhuofeng Zhao ◽  
...  
Keyword(s):  
Service Oriented ◽  
Grid Applications

Service-Oriented Virtual Private Networks for Grid Applications

2007 ◽  
Author(s):  
Hanxi Zhang ◽  
Michel Savoie ◽  
Scott Campbell ◽  
Sergi Figuerola ◽  
Gregorx von Bochmann ◽  
...  
Keyword(s):  
Virtual Private Networks ◽  
Service Oriented ◽  
Grid Applications

scholarly journals Interoperable Resource Management for Establishing Federated Clouds

2012 ◽  
pp. 18-35 ◽  
Author(s):  
Gabor Kecskemeti ◽  
Attila Kertesz ◽  
Attila Marosi ◽  
Peter Kacsuk
Keyword(s):  
Virtual Machine ◽  
Virtual Machines ◽  
Research Areas ◽  
Computing Paradigm ◽  
Virtual Appliance ◽  
Service Deployment ◽  
Cloud Providers ◽  
Service Oriented ◽  
Cloud Infrastructures ◽  
Privately Owned

Cloud Computing builds on the latest achievements of diverse research areas, such as Grid Computing, Service-oriented computing, business process modeling and virtualization. As this new computing paradigm was mostly lead by companies, several proprietary systems arose. Recently, alongside these commercial systems, several smaller-scale privately owned systems are maintained and developed. This chapter focuses on issues faced by users with interests in Multi-Cloud use and by Cloud providers with highly dynamic workloads. The authors propose a Federated Cloud Management architecture that provides unified access to a federated Cloud that aggregates multiple heterogeneous IaaS Cloud providers in a transparent manner. The architecture incorporates the concepts of meta-brokering, Cloud brokering, and on-demand service deployment. The meta-brokering component provides transparent service execution for the users by allowing the interconnection of various Cloud brokering solutions. Cloud-Brokers manage the number and the location of the Virtual Machines performing the user requests. In order to decrease Virtual Machine instantiation time and increase dynamism in the system, the service deployment component optimizes service delivery by encapsulating services as virtual appliances allowing their decomposition and replication among IaaS Cloud infrastructures. The architecture achieves service provider level transparency through automatic virtual appliance replication and Virtual Machine management of Cloud-Brokers.

scholarly journals Various Extensions for the Ambient OSGi Framework

2012 ◽  
pp. 208-219
Author(s):  
Stéphane Frénot ◽  
Frédéric Le Mouël ◽  
Julien Ponge ◽  
Guillaume Salagnac
Keyword(s):  
Virtual Machine ◽  
Ambient Intelligence ◽  
Limited Resource ◽  
Java Virtual Machine ◽  
Programming Paradigm ◽  
Resource Requirements ◽  
Component Approach ◽  
Service Oriented ◽  
Run Time ◽  
Concurrent Applications

OSGi is a wrapper above the Java Virtual Machine that embraces two concepts: component approach and service-oriented programming. The component approach enables a Java run-time to host several concurrent applications, while the service-oriented programming paradigm allows the decomposition of applications into independent units that are dynamically bound at runtime. Combining component and service-oriented programming greatly simplifies the implementation of highly adaptive, constantly evolving applications. This, in turn, is an ideal match to the requirements and constraints of ambient intelligence computing, such as adaptation to changes associated with context evolution. OSGi particularly fits ambient requirements and constraints by absorbing and adapting to changes associated with context evolution. However, OSGi needs to be finely tuned in order to integrate ambient specific issues. This paper focuses on Zero-configuration architecture, Multi-provider framework, and Limited resource requirements. The authors studied many OSGi improvements that should be taken into account when building OSGi-based gateways. This paper summarizes the INRIA Amazones teamwork (http://amazones.gforge.inria.fr/) on extending OSGi specifications and implementations to cope with ambient concerns. This paper references three main concerns: management, isolation, and security.

scholarly journals Various Extensions for the Ambient OSGi Framework

2012 ◽  
pp. 1799-1810
Author(s):  
Stéphane Frénot ◽  
Frédéric Le Mouël ◽  
Julien Ponge ◽  
Guillaume Salagnac
Keyword(s):  
Virtual Machine ◽  
Ambient Intelligence ◽  
Limited Resource ◽  
Java Virtual Machine ◽  
Programming Paradigm ◽  
Resource Requirements ◽  
Component Approach ◽  
Service Oriented ◽  
Run Time ◽  
Concurrent Applications

OSGi is a wrapper above the Java Virtual Machine that embraces two concepts: component approach and service-oriented programming. The component approach enables a Java run-time to host several concurrent applications, while the service-oriented programming paradigm allows the decomposition of applications into independent units that are dynamically bound at runtime. Combining component and service-oriented programming greatly simplifies the implementation of highly adaptive, constantly evolving applications. This, in turn, is an ideal match to the requirements and constraints of ambient intelligence computing, such as adaptation to changes associated with context evolution. OSGi particularly fits ambient requirements and constraints by absorbing and adapting to changes associated with context evolution. However, OSGi needs to be finely tuned in order to integrate ambient specific issues. This paper focuses on Zero-configuration architecture, Multi-provider framework, and Limited resource requirements. The authors studied many OSGi improvements that should be taken into account when building OSGi-based gateways. This paper summarizes the INRIA Amazones teamwork (http://amazones.gforge.inria.fr/) on extending OSGi specifications and implementations to cope with ambient concerns. This paper references three main concerns: management, isolation, and security.

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