Google's Borg system is a cluster manager that runs hundreds of thousands of jobs, from
many thousands of different applications, across a number of clusters each with up to tens of …

Cloud platform provides great flexibility and cost-efficiency for end-users and cloud
operators. However, low resource utilization in modern datacenters brings huge wastes of …

To improve resource efficiency and design intelligent scheduler for clouds, it is necessary to
understand the workload characteristics and machine utilization in large-scale cloud data …

Server workload in the form of cloud-end clusters is a key factor in server maintenance and
task scheduling. How to balance and optimize hardware resources and computation …

Cloud computing with large-scale datacenters provides great convenience and cost-
efficiency for end users. However, the resource utilization of cloud datacenters is very low …

Recent research has proposed several packet, flow, and coflow scheduling methods that
could substantially improve data center network performance. Most of this work assumes …

Cloud computing (CC) systems are the most popular computational environments for
providing elastic and scalable services on a massive scale. The nature of such systems …

Achieving efficiency both in terms of resource utilisation and energy consumption is a
complex challenge, especially in large-scale wide-purpose data centers that serve cloud …

Cloud failure is one of the critical issues since it can cost millions of dollars to cloud service
providers, in addition to the loss of productivity suffered by industrial users. Fault tolerance …

Cloud providers often build a geo-distributed cloud from multiple datacenters in different
geographic regions, to serve tenants at different locations. The tenants that run large scale …