From Security to Assurance in the Cloud

Ardagna, Claudio Agostino; Asal, Rasool; Damiani, Ernesto; Vu, Quang Hieu

doi:10.1145/2767005

Cited by 141 publications

(111 citation statements)

References 236 publications

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“…Past works have reported a number of reliability issues of cloud platforms caused by VM workload [7], as well as the importance of VM fault tolerance to safeguard the reliability and available capability of cloud platforms (e.g., EC2 [8], Google App Engine [9], VMware [10], Xen [11], KVM [12], etc.). Meanwhile, most existing research has focused on the reactive and preventive fault tolerance methods [13].…”

Section: State Of the Artmentioning

confidence: 99%

Study on Fault Tolerance Method in Cloud Platform based on Workload Consolidation Model of Virtual Machine

Li¹,

Liu²,

Tong³

2017

JESTR

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The fault tolerance method of virtual machines (VM) guarantees reliability to the service capability of cloud platforms. VM workloads are dynamic and uncertain, and thus, they affect the reliability and task processing capability of entire cloud platforms. In this study, a fault tolerance method based on the VM workload consolidation model was proposed to solve problems concerning the reliability and task processing capability of cloud platforms caused by VM workloads, thus improving the reliability of VMs and overall performance of cloud platforms. First, the method was analyzed on the basis of the distinct relationship of VM workload and VM reliability and task processing capability. Then, the workload state of VM was predicted and analyzed by linear regression using VM workload monitoring data, and the VM workload consolidation algorithm was constructed based on expected workload constraint and optimization of fault tolerance time. Finally, the fault tolerance method based on the VM workload consolidation model was compared with the Radom method and the Max method. Research results demonstrate the potential of the proposed method to improve VM reliability in cloud platforms by 20% and 47% compared with those for the Radom and Max methods, respectively. In the same workload phase, the task completion rate of the proposed method increased significantly (15% and 30%, and 22% and 30%), and the percentages were higher than those for the Radom and Max methods, respectively. Moreover, the proposed method shortened task response time. This study concludes that the workload consolidation of VMs can increase the reliability and task processing capability of VMs. This proposed method can provide technological support to the fault tolerance of VMs in cloud platforms.

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Section: State Of the Artmentioning

confidence: 99%

Study on Fault Tolerance Method in Cloud Platform based on Workload Consolidation Model of Virtual Machine

Li¹,

Liu²,

Tong³

2017

JESTR

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“…Here, it uses centered encoded and an additional scrambled operation close by get the opportunity to control part. The unified encoded technique is to meet the essential of both (encryption and deduplications) strategy [9]. In that, the key is resolved and encoded in light of the data gave.…”

Section: Manindra and Pradeepmentioning

confidence: 99%

Data Compression Technique for Cloud Storage in Multi-User Environments

Manindra

Pradeep

2017

Asian J Pharm Clin Res

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In many associations, the cloud storages contain a copy (duplicates) of information. For example, the same file would be spared in various locations by different users; too many documents that are not differentiable may in any case duplication a great part of the same data. This consumes lots of memory in cloud storage. Deduplication is a kind of technique used to eliminate duplicate entries on cloud storage. It helps us to remove the duplicate entries of these additional duplicates, by maintaining only one duplicate of the information and giving ownership rights to the alternate duplicates with pointers that lead back to the first duplicate. Organizations much of the time utilizes this technique in cloud storage for many applications, yet it can be effectively utilized to free up space in vital situations also. To allow an end-user to have the ownership of the file if the file is already existing and should terminate the uploading process to the cloud storage server.

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“…Furthermore, the security techniques used in cloud can be classified into six based on the implemented security mechanism: encryption, signature, Intrusion Detection System (IDS)/Intrusion Preventions System (IPS), access control, authentication and trusted computing [65]. Thus, the access control is one of the basic security techniques in any computing system.…”

Section: Iaas Access Controlmentioning

confidence: 99%