DSpace Collection:http://localhost:8080/xmlui/handle/123456789/11022026-04-23T14:18:22Z2026-04-23T14:18:22ZAn Efficient Approach for Energy Conservation in Cloud Computing EnvironmentPande, Sohan KumarPanda, Sanjaya KumarSahu, Preeti Ranjanhttp://localhost:8080/xmlui/handle/123456789/38372026-01-21T05:33:28Z2025-01-01T00:00:00ZTitle: An Efficient Approach for Energy Conservation in Cloud Computing Environment
Authors: Pande, Sohan Kumar; Panda, Sanjaya Kumar; Sahu, Preeti Ranjan
Abstract: Recent trends of technology have explored a
numerous applications of cloud services, which require a
significant amount of energy. In the present scenario, most of
the energy sources are limited and have a greenhouse effect on
the environment. Therefore, it is the need of the hour that the
energy consumed by the cloud service providers must be
reduced and it is a great challenge to the research community to
develop energy-efficient algorithms. To design the same, some
researchers tried to maximize the average resource utilization,
whereas some researchers tried to minimize the makespan.
However, they have not considered different types of resources
that are present in the physical machines. In this paper, we
propose a task scheduling algorithm, which tries to improve
utilization of resources (like CPU, disk, I/O) explicitly, which in
turn increases the utilization of active resources. For this, the
proposed algorithm uses a fitness value, which is a function of
CPU, disk and I/O utilization, and processing time of the task.
To demonstrate the performance of the proposed algorithm,
extensive simulations are performed on both proposed
algorithm and existing algorithm MaxUtil using synthetic
datasets. From the simulation results, it can be observed that
the proposed algorithm is a better energy-efficient algorithm
and consumes less energy than the MaxUtil algorithm.
Description: NITW2025-01-01T00:00:00ZModelling Renewable Energy-Based Cloud Computing Environment by Harnessing Solar EnergyNayak, Sanjib KumarPadhee, SubhransuPanda, Sanjaya Kumarhttp://localhost:8080/xmlui/handle/123456789/38352026-01-21T05:34:48Z2021-01-01T00:00:00ZTitle: Modelling Renewable Energy-Based Cloud Computing Environment by Harnessing Solar Energy
Authors: Nayak, Sanjib Kumar; Padhee, Subhransu; Panda, Sanjaya Kumar
Description: NITW2021-01-01T00:00:00Z