期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2019
卷号：11
页码：170-177
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：Cloud computing is an emerging technology through
which resources can be shared over the internet with different
users either free or on a rent basis. Resource scheduling in cloud
computing is a challenging area for researchers as is maximum
utilization can opt through efficient resource scheduling
algorithm. In this environment, incalculability, and expansion of
resources meeting the problem of allocation. Other than this,
virtual machine provisioning, packaging, and availability
guarantee decrease the performance. To avoid this, an efficient
resource management technique is required, which will manage
the resources effectively, guarantee the availability, and execute
the workloads automatically. In this paper, we present an
autonomic resource management technique named as SMART
(Self-management aware autonomic resource management
technique for cloud). SMART offers self-optimization for
maximum resource utilization, self-healing to avoid failures on
execution, self-protection to stop multiple requests from the user,
and self-configuration to make sure the availability of resources.
We have implemented and evaluated the performance of
SMART in cloudsim 3.0 and the experimental results of
proposed work perform better in terms of SAL violation rate,
cost, energy consumption, resource utilization and execution
time.
