dc.contributor.author | Msagha J Mbogholi, Henry O Okoyo, Okoth Sylvester J McOyowo | |
dc.date.accessioned | 2020-08-27T12:14:23Z | |
dc.date.available | 2020-08-27T12:14:23Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://repository.maseno.ac.ke/handle/123456789/2466 | |
dc.description.abstract | Cloud computing has been the rave of users globally over the past few years. This has
mainly been because of the many different services available in the cloud that has made it the
technology of choice for many users. Whether knowingly or unknowingly once a user connects to the
Internet and accesses a service be it an application or storage they are using a cloud service.
Availability, however, has been a thorn in the flesh for most Cloud Service Providers (CSPs). One of
the sources of outages at cloud infrastructure level has been node failures. In this context the nodes are
the servers found within the datacenter (DC) that house the virtual machines (VMs), which in turn
execute the tasks required by users. The objective of this study was to determine whether node
management and cluster management are proactive effective availability Mechanisms (AMs) in
countering node failures. To investigate this we simulated node failures in the DC using a random
number generator. We then countered these failures using a node management technique and then
secondly using cluster management, using CloudSim simulation toolkit. The availability of the
infrastructure was then measured using two parameters namely service availability and execution
availability. The findings showed that both techniques are effective techniques in countering node
failures at infrastructure level; further effective management of the cluster results in effective
management of the node at infrastructure level; the converse is also true. | en_US |
dc.publisher | IJCSMC | en_US |
dc.subject | Availability, Cloud computing, infrastructure, node failure, node management, service availability, execution availability, CloudSim | en_US |
dc.title | Addressing Node Failures Using Node Management & Cluster Management Techniques in Cloud Computing | en_US |
dc.type | Article | en_US |