Cloud applications today deliver an increasingly larger portion of the Information and Communication Technology (ICT) services. To address the scale, growth, and reliability of cloud applications, self-aware management and scheduling are becoming commonplace. How are they used in practice? In this chapter, we propose a conceptual framework for analyzing state-of-the-art self-awareness approache...

In the era of Big Data, with data growing massively in scale and velocity, cloud computing and its pay-as-you-go model continues to provide significant cost benefits and a seamless service delivery model for cloud consumers. The evolution of small-scale and large-scale geo-distributed datacenters operated and managed by individual Cloud Service Providers (CSPs) raises new challenges in terms of...

Recent studies estimate that server cost contributes to as much as 57% of the total cost of ownership (TCO) of a datacenter [1]. One key contributor to this high server cost is the procurement of memory devices such as DRAMs, especially for data-intensive datacenter cloud applications that need low latency (such as web search, in-memory caching, and graph traversal). Such memory devices, howeve...

Technological advances including multicore processors and small form factor blade servers are enabling continued improvements in computing densities for modern datacenters. Large scale facilities leverage these densities to deploy web applications and cloud based services, but must simultaneously address the ensuing power and cooling management issues that impact datacenter sustainability and c...

Improving energy efficiency of datacenters and studies of green energy integration into the datacenters are important research problems. Recent studies include design of power management mechanisms, scheduling policies, and efficient cooling methods. However, deploying a new policy in a datacenter and verifying its effects is time consuming and often infeasible. Therefore, it is important to ef...

We describe an FPGA-based datacenter network simulator to allow researchers to rapidly experiment with O(10, 000) node datacenter network architectures. We configure the FPGA hardware to implement abstract models of key datacenter building blocks including servers and all levels of switches. We discuss design and implementation issues of our FPGA models and show that it is practical to prototyp...

<span>Many organizations often use physical hardware resources, such as storage devices and firewall, to store their essential applications data. Recently, the Coronavirus pandemic represented a significant challenge for University of Kufa, which utilize an on-premise data center e-learning since 2009. Whether learning management system (LMS) is installed on or cloud, it crucial any unive...

Virtualization is the ubiquitous way to provide computation and storage services to datacenter end-users. Guaranteeing sufficient data storage and efficient data access is central to all datacenter operations, yet little is known of the effects of virtualization on storage workloads. In this study, we collect and analyze field data from production datacenters that operate within the private clo...