Energy Aware Resource Management of Cloud Data Centers

Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing

Cloud computing offers utility-oriented IT services to users worldwide. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centers hosting Cloud applications consume huge amounts of electrical energy, contributing to high operational costs and carbon footprints to the environment. Therefore, we need Green C...

Network Virtualization for QoS-Aware Resource Management in Cloud Data Centers: A Survey

The increasing popularity of Cloud Computing is leading to the emergence of large virtualized data centers hosting increasingly complex and dynamic IT systems and services. Over the past decade, the efficient sharing of computational resources through virtualization has been subject to intensive research, while network management in cloud data centers has received less attention. A variety of n...

PIASA: A power and interference aware resource management strategy for heterogeneous workloads in cloud data centers

Self-Aware Resource Management in Virtualized Data Centers

Enterprise applications in virtualized data centers are often subject to timevarying workloads, i.e., the load intensity and request mix change over time, due to seasonal patterns and trends, or unpredictable bursts in user requests. Varying workloads result in frequently changing resource demands to the underlying hardware infrastructure. Virtualization technologies enable sharing and on-deman...

Dynamic Energy Management in Cloud Data Centers: a Survey

Cloud data centers have become indispensable infrastructure for computing and data storage that facilitate the development of diversified services offered by the cloud. These data centers consume enormous amounts of electrical energy to process the cloud services resulting in large amount of CO2 emissions, high operational cost, and affecting the lifetime of hardware equipments. This necessitat...

Energy Aware Resource Allocation in Cloud Computing

This implementation aims towards the establishment of performance qualitative analysis on make span in VM task allocation and process according to their deadline, then implemented in CloudSim with Java language. Here major stress is given on the study of dead line based task scheduling algorithm with heterogeneous resources of the cloud, followed by comparative survey of other algorithms in clo...