HYBRID SWIPER: SYNCHRONIZATION OF IP AND MAC ADDRESS TO OVERCOME THIRD PARTY ATTACKS IN CLOUD |
Author(s): |
Ms. M. Vinitha |
Keywords: |
I/O Resources, Elastic cloud, Workload, Vulnerability ,Co-located VM, Throughput. |
Abstract |
The Cloud computing is the after that stage in the Internet's growth, provide the means during which everything from computing power to computing communications, applications, business processes to individual collaboration can be deliver as a service anywhere and when you need. The cloud computing can be clear as the set of hardware, network, storage space, services, and interface that are combined to provide the phase of computing as a Service. Cloud services encompass the release of software, infrastructure and storage over the Internet based on user demand. The proceed model of cloud computing, e.g., Amazon Elastic cipher Cloud (EC2), guarantee very flexible however strong setting for large-scale perform. Ideally, whereas multiple virtual machines (VM) split an equal nature property each perform have to be allot to associate amount severally managed VM and secluded from each other. Multiple virtual machines (VM) partition the same physical resources (e.g., CPUs, caches, DRAM, and I/O devices). All the application allocated to individual VM separate from another. At the time performance weakness will occur. Performance weakness caused by struggle among virtual I/O workloads i.e., by raise the competition for collective resources and another could purposely slow down the finishing of a targeted application in a VM. For that the increase model of cloud computing, e.g., Amazon Elastic Compute Cloud (EC2), provide a stretchy strong environment for large-scale applications. The focus on I/O resources such as throughput and/or bandwidth - which are vital for dataintensive applications. SWIPER: the framework which uses a carefully planned workload to incur significant delays on the embattled application and VM with lowest cost (i.e., resource consumption). |
Other Details |
Paper ID: IJSARTV Published in: Volume : 2, Issue : 5 Publication Date: 5/4/2016 |
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