Cloud computing is a modern paradigm to provide services through the Internet. Load
balancing is a key aspect of cloud computing and avoids the situation in which some nodes …

Resource management in a cloud environment is a hard problem, due to: the scale of
modern data centers; the heterogeneity of resource types and their interdependencies; the …

This paper focuses on the efficient scheduling on multicore systems of very fine-grain
networked tasks, which are the typical building block of online data-intensive applications …

With cloud computing, new services in information technology (IT) emerge from the
convergence of business and technology perspectives which furnish users access to IT …

Dynamic on‐demand resource provisioning is one of the primary goals of the cloud
computing task scheduling process. Task scheduling is a nondeterministic polynomial time …

Cloud computing is emerging as a new paradigm of large-scale distributed computing. It is a
framework for enabling convenient, on-demand network access to a shared pool of …

Developers use Machine Learning (ML) platforms to train ML models and then deploy these
ML models as web services for inference (prediction). A key challenge for platform providers …

In a cloud environment, the aim of using optimal resources can be achieved using a load-
balancing technique. The load-balancing technique assigns a set of requests into a set of …

Cloud computing aims to provide seamless computing services to the millions of consumers
across the world. Datacenter, the engine of cloud computing, hosts large scale computing …

The rapid development of Internet has given birth to a new business model: Cloud
Computing. This new paradigm has experienced a fantastic rise in recent years. Because of …