Archana Patil - Academia.edu (original) (raw)

Papers by Archana Patil

Research paper thumbnail of Energy and SLA aware Dynamic Threshold Selection Algorithm for efficient Migration of Virtual Machines

Design Engineering, Aug 4, 2021

Research paper thumbnail of An Analysis Report on Green Cloud Computing Current Trends and Future Research Challenges

SSRN Electronic Journal, 2019

Today cloud computing became an impressive solution to address the challenges in storage and proc... more Today cloud computing became an impressive solution to address the challenges in storage and process of high volume data, with low-cost, high-speed, on-demand and pay-per-use characteristics. Although rapid progression has been recorded in the area of cloud computing and its services, attaining the implementation of green clouds is still under development due to lack of research and several barriers in its implementation. Green clouds are committed to design as eco-friendly, energy efficient, max resource utilizable, low carbon emissions, long lasting and recyclable. In order to satisfy the ever growing enterprise data storage and processing needs, the cloud service providers are coming up with cutting edge technologies like Green Cloud Computing in cloud architecture design to reduce, the huge power consumption, water consumption, need of physical hardware peripherals, infrastructure and harmful carbon emissions etc. To protect our environment from cloud negative impacts, the service providers must adopt and update their cloud infrastructure towards green computing. Green computing researches widely focus on designing of efficient clouds with green characteristics like Power Management, Virtualization, High Performance Computing, Load balancing, Green data center, Reusability, Recyclability etc. As part of my research on green clouds, this paper presents an analysis report about the green cloud computing and its characteristics in detailed manner. This paper thoroughly discusses about the former green computing achievements, current trending concepts of green computing and future research challenges as well. This comprehensive green cloud analysis report helps the naïve green research fellows to learn about green cloud topics and to understand the green cloud future research challenges.

Research paper thumbnail of An Optimal Heuristic Model for Greedy and Efficient Consolidation Process in Cloud Datacenters

2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), 2020

Today, cloud computing has become an integrated solution for the entrepreneurs to deploy their bu... more Today, cloud computing has become an integrated solution for the entrepreneurs to deploy their business applications and to obtain the immense advantages of the cloud. Virtualization increased the cloud productivity and decreased the energy consumption by mapping the physical systems into logical virtual machines. Uneven distribution of load among the hosts may generate the host over subscription and under subscription issues, which impacts negatively on QoS management and energy consumption of cloud. Server consolidation is the convenient solution for handling the host underutilization issues. Although the former researches were proposed several advancements in consolidation, it is still suffering in selection of optimal threshold values and controls the aggressive migrations. This research work has proposed an optimal heuristic model for greedy and efficient consolidation process in cloud datacenters. Experimental results proven that the proposed consolidation model defined an optimal threshold value to save the energy and the greedy consolidation policy controlled the aggressive migrations better than the former consolidation models.

Research paper thumbnail of Energy and SLA aware Dynamic Threshold Selection Algorithm for efficient Migration of Virtual Machines

Design Engineering, Aug 4, 2021

Research paper thumbnail of An Analysis Report on Green Cloud Computing Current Trends and Future Research Challenges

SSRN Electronic Journal, 2019

Today cloud computing became an impressive solution to address the challenges in storage and proc... more Today cloud computing became an impressive solution to address the challenges in storage and process of high volume data, with low-cost, high-speed, on-demand and pay-per-use characteristics. Although rapid progression has been recorded in the area of cloud computing and its services, attaining the implementation of green clouds is still under development due to lack of research and several barriers in its implementation. Green clouds are committed to design as eco-friendly, energy efficient, max resource utilizable, low carbon emissions, long lasting and recyclable. In order to satisfy the ever growing enterprise data storage and processing needs, the cloud service providers are coming up with cutting edge technologies like Green Cloud Computing in cloud architecture design to reduce, the huge power consumption, water consumption, need of physical hardware peripherals, infrastructure and harmful carbon emissions etc. To protect our environment from cloud negative impacts, the service providers must adopt and update their cloud infrastructure towards green computing. Green computing researches widely focus on designing of efficient clouds with green characteristics like Power Management, Virtualization, High Performance Computing, Load balancing, Green data center, Reusability, Recyclability etc. As part of my research on green clouds, this paper presents an analysis report about the green cloud computing and its characteristics in detailed manner. This paper thoroughly discusses about the former green computing achievements, current trending concepts of green computing and future research challenges as well. This comprehensive green cloud analysis report helps the naïve green research fellows to learn about green cloud topics and to understand the green cloud future research challenges.

Research paper thumbnail of An Optimal Heuristic Model for Greedy and Efficient Consolidation Process in Cloud Datacenters

2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), 2020

Today, cloud computing has become an integrated solution for the entrepreneurs to deploy their bu... more Today, cloud computing has become an integrated solution for the entrepreneurs to deploy their business applications and to obtain the immense advantages of the cloud. Virtualization increased the cloud productivity and decreased the energy consumption by mapping the physical systems into logical virtual machines. Uneven distribution of load among the hosts may generate the host over subscription and under subscription issues, which impacts negatively on QoS management and energy consumption of cloud. Server consolidation is the convenient solution for handling the host underutilization issues. Although the former researches were proposed several advancements in consolidation, it is still suffering in selection of optimal threshold values and controls the aggressive migrations. This research work has proposed an optimal heuristic model for greedy and efficient consolidation process in cloud datacenters. Experimental results proven that the proposed consolidation model defined an optimal threshold value to save the energy and the greedy consolidation policy controlled the aggressive migrations better than the former consolidation models.