Abstract
Even though the contribution of cloud computing towards the Sustainable Development (SD) of communities is still under research investigation, cloud computing has become an integral part of many ICT solutions that shape our daily lives. Thus, some researchers recommend taking considerable actions to point cloud computing development towards supporting SD. In this research, an approach to designing energy efficient cloud architecture as a way of supporting SD is proposed. Resource allocation is a challenging process in cloud management, the goal is to allocate the exact amount of resources needed throughout the service duration; tight enough to avoid unnecessarily wasting resources and loose enough to prevent any degradation in Quality of Service (QoS) that may lead to the violation of the Service Level Agreement (SLA) between the service provider and the cloud user. This study aims to achieve the desired balance by benefiting from the history of the user’s behaviour and from sharing resources – more specifically Virtual Machines (VM) – among a coalition of users. Coalition formation strategy is used to build groups of cloud users based on their cloud behaviour history. Users are grouped in a way that their usage patterns complement each other, either to avoid the loss stemming from VM excess reserved space or from idle times. A type of architecture that fulfils this improvement process is proposed and implemented on Google Compute Engine (GCE). The contribution of this research is that it applies the Coalition formation strategy in cloud computing resource management in a novel way and experiments show that there are scenarios where the efficiency of resource management has improved. Evaluation of the performance of the proposed architecture is done by comparing resource utilization for both the cloud following this architecture and the cloud that runs the basic GCE strategy. In conclusion, it is observed that improvements depend on accuracy of the prediction of usage pattern of the user. Results show that in certain scenarios, improvements can be made to up to 24% of VM usage and, in other scenarios, it can minimize the number of required VMs, thus contributing to green computing.
Highlights
ICT solutions has become an integral part of people’s daily living, there is a line of research called Activities of Daily Living (ADL) covering many topics such as the one found in (Thakur and Han, 2021)
The results show that the accuracy of Swarm Intelligence Based Prediction Approach (SIBPA) has outperformed LR, NN and Support Vector Machines approaches in terms of Central Processing Unit (CPU) utilization, response time and throughput memory utilization
From Table 4, it have been found that actual execution of the workload is the same for each user, in the baseline system there are an extra 30 sec needed for initializing the Virtual Machines (VM), whereas our system only consumes around one second to determine the group number and the VM id
Summary
ICT solutions has become an integral part of people’s daily living, there is a line of research called Activities of Daily Living (ADL) covering many topics such as the one found in (Thakur and Han, 2021). Cloud computing is part of ICT solutions as it provides users with computing power and applications delivered via the Internet. It shifts much of the provisioning of applications, configuration and maintenance to the responsibility of cloud providers rather than cloud users. Efficient computing strategies are provided by centralizing storage, memory, processing and bandwidth to form the cloud. The computer software, middleware, operates in different parts within this architecture. This research focuses on middleware on the IaaS level which is responsible for managing resources, such as memory and Central Processing Unit (CPU) among other functionalities
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
