Load balancing is a serious problem in cloud computing that makes it challenging to ensure
the proper functioning of services contiguous to the Quality of Service, performance …

The number of cloud users and their respective workload increases everyday with the
inherent benefits of cloud computing. On the other hand, it becomes critical for service …

Sustainable resource management within a cloud computing environment is a highly critical
and prominently studied research topic. In this context, this paper presented a …

Many virtual machine (VM) allocation methods have been proposed to reduce the number of
physical machines (PMs), improve resource utilization for cloud service providers. If VMs are …

We formulate computation offloading as a decentralized decision-making problem with
autonomous agents. We design an interaction mechanism that incentivizes agents to align …

With the rapid development of cloud computing and container technology, more and more
applications are deployed to the cloud, and the scale of cloud platform is expanding. Due to …

Federated cloud has emerged as a cost-effective and scalable platform for multiple cloud
providers to collaborate in serving the growing demand for cloud resources. In a federation …

With the rapid proliferation of Machine Learning (ML) and Deep learning (DL) applications
running on modern platforms, it is crucial to satisfy application performance requirements …

In this study, the cloud computing platform is equipped with a hybrid multi-objective meta-
heuristic optimization-based load balancing model. Physical Machine (PM) allocates a …

░ ABSTRACT-Cloud computing relies on the collection and distribution of services from
internet-based data centers. With the large resource pool available in internet wide range of …