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EXTENDING GRIDS WITH CLOUD RESOURCE MANAGEMENT FOR SCIENTIFIC.ppt (Size: 772 KB / Downloads: 102)
EXTENDING GRIDS WITH CLOUD RESOURCE MANAGEMENT FOR SCIENTIFIC COMPUTING
presented By,
NETHRA A.S
8th sem,BE(cse)
Guide: Mrs.Prathima
CONTENTS
Overview
Introduction
Background concepts
-ASKALON
-cloud computing
Resource management architecture
-Cloud management
-Image catalogue
-Security mechanisms
Conclusion
References
OVERVIEW
Cloud computing is emerging as a paradigm for the next generation of large scale scientific computing.
Here we deal with the usability of compute clouds to extend a grid workflow that can speed up executions of scientific workflows.
INTRODUCTION
In the last decade, Grid Computing gained high popularity in the field of scientific computing.
Scientific computing is traditionally a high-utilization workload.
Advantages of cloud computing
Clouds promote the concept of leasing remote resources rather than buying own hardware.
Clouds eliminate the physical overhead cost of adding new hardware.
Clouds also promote the concept of hardware virtualization
Clouds provision the resources through business relationships.
BACKGROUND CONCEPTS
ASKALON
ASKALON is a Grid application development and computing environment developed at the University of Innsbruck.
Objective: To simplify the development and optimization of application
CLOUD COMPUTING
Cloud computing is recently being increasingly used for the provisioning various services through the internet which are billed like utilities.
The most popular interpretation of cloud computing is infrastructure as a service.
Iaas is characterized by the concept of resource virtualization.
RESOURCE MANAGEMENT ARCHITECTURE
Cloud management
Image catalogue
Security mechanisms
CLOUD MANAGEMENT
The cloud-enabled resource manager extends the old Grid resource manager with two new runtime functions.
The cloud management component is responsible for provisioning, releasing and checking the status of an instance.
IMAGE CATALOGUE
Each cloud infrastructure provides a different set of images offered by the provider or defined the users themselves.
The task of the image catalogue is to systematically organize missing information, which is registered manually by the resource manager administrator.
SECURITY MECHANISMS
Security is a critical topic in cloud computing.
Several issues need to be addressed such as authentication to the cloud services.
Two types of credentials in cloud environment
CONCLUSION AND FUTURE WORK
Here we extended a grid workflow development and computing environment to use on-demand cloud resources in grid environments.
Workflows with large problem sizes can benefit from being executed in a combined grid and cloud environment.
This environment currently supports providers offering Amazon EC2-compliant interfaces, which can be extended for others cloud providers.
REFERENCES
[1] A. Iosup, C. Dumitrescu, D. Epema, H. Li, and L. Wolters, How are real grids used the analysis of four grid traces and its implications, in International Conference on Grid Computing. IEEE Computer Society, 2006, pp. 262“269.
[2] G. D. Costa, M. D. Dikaiakos, and S. Orlando, Analyzing the workload of the south-east federation of the egee grid infrastructure, CoreGRID Technical Report, Tech. Rep. TR-0063, 2007.