Cloud computing has proposed a new perspective for provisioning the large-scale
computing resources by using virtualization technology and a payper-use cost model. Load …

The emergence of cloud computing based on virtualization technologies brings huge
opportunities to host virtual resource at low cost without the need of owning any …

The increasingly wide application of Cloud Computing enables the consolidation of tens of
thousands of applications in shared infrastructures. Thus, meeting the QoS requirements of …

The Internet of Things (IoT) is envisioned as a ubiquitous computing infrastructure in which
everything becomes connected, enabling gigantic information exchange among Things and …

The need to adaptively manage computer systems and networks so as to offer good Quality
of Service (QoS) and Quality of Experience (QoE) with secure operation at relatively low …

Edge computing systems must offer low latency at low cost and low power consumption for
sensors and other applications, including the IoT, smart vehicles, smart homes, and 6G …

Resource scheduling in infrastructure as a service (IaaS) is one of the keys for large-scale
Cloud applications. Extensive research on all issues in real environment is extremely difficult …

Public cloud GPU clusters are becoming emerging platforms for training distributed deep
learning jobs. Under this training paradigm, the job scheduler is a crucial component to …

Load balancer, as a key component in cloud computing, seeks to improve the performance
of a distributed system by allocating workload amongst a set of cooperating hosts. A good …

Load balancing is the process of distributing customer tasks among multiple computing
resources, such as virtual machines (VMs), servers and networks. It is a major concern in …