Megawatt-scale datacenters have emerged to meet the increasing demand for IT
applications and services. The hunger for power brings large electricity bills to datacenter …

Data centers are the backbone of a growing number of activities in modern economies.
However, the large increase of digital content, big data, e-commerce, and Internet traffic is …

To better understand the challenges in developing effective cloud-based resource
schedulers, we analyze the first publicly available trace data from a sizable multi-purpose …

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 …

TetriSched is a scheduler that works in tandem with a calendaring reservation system to
continuously re-evaluate the immediate-term scheduling plan for all pending jobs (including …

Energy efficiency has recently become a major issue in large data centers due to financial
and environmental concerns. This paper proposes an integrated energy-aware resource …

The advent of Data Science has led to data being evermore useful for an increasing number
of organizations who want to extract knowledge from it for financial and research purposes …

Generally speaking, the workloads are changing rapidly on the Internet, but there is still
regularity of changing patterns. Currently, workload prediction has become a promising tool …

Cloud computing continues to play a major role in transforming the IT industry by facilitating
elastic on-demand provisioning of computational resources including processors, storage …

In this paper, we characterize Google applications, based on a one-month Google trace with
over 650k jobs running across over 12000 heterogeneous hosts from a Google data center …