Autonomic Cloud Application And Services

3291 Words14 Pages
Autonomic Cloud Application and Services Abstract Clouds are large scale, complex systems. This makes the management of resources a challenging job. The heterogeneous distributed system requires intelligent strategies to provision resources. These strategies can be automated for efficient performance. Resources provided must be secure, cost-efficient and reliable. Therefore effective management of Clouds providing services in software platforms becomes fundamental. This paper identifies issues on autonomic resource provisioning and provides innovative management techniques which supports SaaS applications on Clouds. A conceptual architecture with early results is provided to emphasis the benefits of autonomic management of Clouds.…show more content…
These private environments are made accessible via the Internet. Cloud computing provides services such as software (applications), platforms and infrastructures with a subscription-based in a pay-as-you-go model. These services are generally referred as Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). Real time service providers like Amazon, HP and IBM have Cloud data centers worldwide. These centers support end-user applications ranging from online healthcare to generic text processing software. Ones the application is available in the Cloud, the client can access from anywhere at any time. Users will require a form of networked device like a desktop or a smart phone. The Cloud system increases the application speed for the client. This is achieved by using the processing power of the virtual computers on the back end. However, it is a challenging task to deliver a secure, cost-efficient and reliable service. Management of a Cloud infrastructure that is elastic and large-scale is another issue. The Cloud needs to exhibit autonomic properties and co-optimization at multiple layers (infrastructure, platform, and application). Some of the challenges are mentioned below: • Quality of Service (QoS). Cloud service consumers (CSCs) expect the Cloud service providers (CSPs) to meet requirements like response time, deadline and budget constraints. The CSPs need to ensure sufficient amount of resources are
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