Description
ARCHITECURAL SPACE FOR CLOUD CHIPER...
CONDACT : 9786724322
D.RAMASAMY
82208535011
ABSTRACT
?In this paper, we present our design and implementation of Imperial College Cloud (IC Cloud). ?The goal of IC Cloud is to provide a generic design space where various cloud computing architectures and implementation strategies can be systematically studied. ? The IC Cloud design strictly follows the SOA principle and incorporates a highly flexible system design approach.
Existing System:
?Conventional cloud computing system is not an user friendly. ?Difficult to handling the emerging features. ?Data inside the cloud cant able to easily with out entering into it. ?User’s don’t know the status of the cloud.
Proposed System:
?Different service providers and venders are easily understand the cloud services. ?Handling the emerging features. ?SOA design space used to show the cloud service. ?Infrastructure as a service used to choose the best cloud to reduce the server work load and increase server speed.
Modules:
?Register the user and Virtual Machine life cycle manager. ?Storage controller and Network management. ?Security control and management. ?Elastic Load Balancer and Prices, billing and SLA management
Registration & Virtual Machine(VM) controller:
?Register the user details and validate the our details and store the data base. ?The VM life-cycle manager controls all the VM life-cycle relevant operations for a VM pool such as creating VMs, booting up VMs, shutting down VMs, pausing VMs, resuming VMs, destroying VMs and deleting VMs etc. ?To creating a virtual machine, the life-cycle manager first fetches a copy of the VM’s image file and put it in the VM pool’s local image space. It then creates a virtual machine based on the fetched image file. ?To deleting a virtual machine, the life-cycle manager removes both the virtual machine and its image file from the VM pool.
Storage controller and Network management:
?The storage controller provides a basic storage service which is similar to Amazon’s Simple Storage Service (S3) to the IC Cloud users. ?To upload a data, they’ll need to be split into 398 smaller file blocks using users’ credentials. ?The storage controller verifies the file blocks that have been uploaded before storing them into the storage space. ?The uploaded file blocks are then scheduled by the storage scheduler to different network storage devices using the data dispatcher. ?Virtual network management operations such as IP allocation, routing table manipulation, network access control etc.
Security control and management:
?It’s crucial to apply security control over the whole system. ?As in an IaaS system, resources is sharely used by different users. ?Without applying appropriate security policy,the system is not operatable.
Elastic Load Balancer and Prices, billing and SLA management:
?One of the key merits of cloud computing paradigm is its elastic resources provision feature. ?Information fed by the system monitors, elastic load balancer is able to dynamically extend/shrink the resources occupied by an application. ?Cloud computing can be understood as a direct application of utility computing. ?Therefore, functions for pricing and billing the use of computing resources are also essential. ?SLA-Monitoring user experience provided by your business apps
Conclusion:
?In this paper, we indicated that due to the evolving speed and the complexity of cloud computing, we should be very careful when we use the pre-designed approach for the system construction. ?Instead, we proposed a design space based approach for building up cloud computing systems through the detailed demonstration of IC Cloud.
FUTURE ENHANCEMENT
? We build up a customised system performance tuning mechanism based on the quality of service.
? The system should be able to dynamically detect and predicate the upcoming system bottlenecks and adjust them accordingly. ? In addition, we plan to experiment and adopt more scheduling algorithms.
REFERENCE
1.Amazon elastic computing cloud. http://aws.amazon.com/ec2/.
2. Gogrid: Build the most complete infrastructure in the cloud. http://www.gogrid.com/.
3. Libvirt virtualisation api. http://libvirt.org/index.html. 4. The rackspace cloud hosting. http://www.rackspace.co.uk/rackspace-home/. 5. Virtualbox home page. http://www.virtualbox.org/.
THANK YOU
doc_728098995.ppt
ARCHITECURAL SPACE FOR CLOUD CHIPER...
CONDACT : 9786724322
D.RAMASAMY
82208535011
ABSTRACT
?In this paper, we present our design and implementation of Imperial College Cloud (IC Cloud). ?The goal of IC Cloud is to provide a generic design space where various cloud computing architectures and implementation strategies can be systematically studied. ? The IC Cloud design strictly follows the SOA principle and incorporates a highly flexible system design approach.
Existing System:
?Conventional cloud computing system is not an user friendly. ?Difficult to handling the emerging features. ?Data inside the cloud cant able to easily with out entering into it. ?User’s don’t know the status of the cloud.
Proposed System:
?Different service providers and venders are easily understand the cloud services. ?Handling the emerging features. ?SOA design space used to show the cloud service. ?Infrastructure as a service used to choose the best cloud to reduce the server work load and increase server speed.
Modules:
?Register the user and Virtual Machine life cycle manager. ?Storage controller and Network management. ?Security control and management. ?Elastic Load Balancer and Prices, billing and SLA management
Registration & Virtual Machine(VM) controller:
?Register the user details and validate the our details and store the data base. ?The VM life-cycle manager controls all the VM life-cycle relevant operations for a VM pool such as creating VMs, booting up VMs, shutting down VMs, pausing VMs, resuming VMs, destroying VMs and deleting VMs etc. ?To creating a virtual machine, the life-cycle manager first fetches a copy of the VM’s image file and put it in the VM pool’s local image space. It then creates a virtual machine based on the fetched image file. ?To deleting a virtual machine, the life-cycle manager removes both the virtual machine and its image file from the VM pool.
Storage controller and Network management:
?The storage controller provides a basic storage service which is similar to Amazon’s Simple Storage Service (S3) to the IC Cloud users. ?To upload a data, they’ll need to be split into 398 smaller file blocks using users’ credentials. ?The storage controller verifies the file blocks that have been uploaded before storing them into the storage space. ?The uploaded file blocks are then scheduled by the storage scheduler to different network storage devices using the data dispatcher. ?Virtual network management operations such as IP allocation, routing table manipulation, network access control etc.
Security control and management:
?It’s crucial to apply security control over the whole system. ?As in an IaaS system, resources is sharely used by different users. ?Without applying appropriate security policy,the system is not operatable.
Elastic Load Balancer and Prices, billing and SLA management:
?One of the key merits of cloud computing paradigm is its elastic resources provision feature. ?Information fed by the system monitors, elastic load balancer is able to dynamically extend/shrink the resources occupied by an application. ?Cloud computing can be understood as a direct application of utility computing. ?Therefore, functions for pricing and billing the use of computing resources are also essential. ?SLA-Monitoring user experience provided by your business apps
Conclusion:
?In this paper, we indicated that due to the evolving speed and the complexity of cloud computing, we should be very careful when we use the pre-designed approach for the system construction. ?Instead, we proposed a design space based approach for building up cloud computing systems through the detailed demonstration of IC Cloud.
FUTURE ENHANCEMENT
? We build up a customised system performance tuning mechanism based on the quality of service.
? The system should be able to dynamically detect and predicate the upcoming system bottlenecks and adjust them accordingly. ? In addition, we plan to experiment and adopt more scheduling algorithms.
REFERENCE
1.Amazon elastic computing cloud. http://aws.amazon.com/ec2/.
2. Gogrid: Build the most complete infrastructure in the cloud. http://www.gogrid.com/.
3. Libvirt virtualisation api. http://libvirt.org/index.html. 4. The rackspace cloud hosting. http://www.rackspace.co.uk/rackspace-home/. 5. Virtualbox home page. http://www.virtualbox.org/.
THANK YOU
doc_728098995.ppt