Resource Management in Virtualized Clouds
Ligang He, Laurence Tianruo Yang, Zhihui Du, Florin Pop · Scientific Programming · 2016
Resource management is of paramount importance in achieving high performance in Cloud environments.Different from traditional parallel and distributed systems, resource virtualization is a key feature in Cloud systems.Although researchers have been developing various strategies and techniques to address the resource management issues in virtualized Clouds, they, as this special issue shows, still face many new research challenges.This special issue aims to report the latest scientific advances in resource management techniques for virtualized Clouds, especially on the topics including VM consolidation strategies, scheduling techniques, techniques for managing various types of virtualized resource, and VM management for various types of application.This issue received 47 high quality submissions.After the rigorous review process, 23 papers were accepted in this issue, documenting the relevant research from China, Spain, USA, Australia, Korea, Mexico, Luxembourg, Russia, France, and so forth.The research presented in these 23 papers broadly covers the interesting scope of this special issue.Among these papers, scheduling strategies are proposed for various types of application and platform.W. Zheng et al. from Xiamen University in China proposed a randomization approach for scheduling stochastic workflows.J. M. Cortés-Mendoza et al. from CICESE Research Center in Mexico developed a new method for scheduling VoIP (Voice over Internet Protocol) tasks in Clouds.W. Lin et al. from South China University of Technology in China designed a task scheduling algorithm for heterogeneous virtual clusters.J. P. Orellana et al. from University of Castilla-La Mancha in Spain investigated scheduling strategies for FPGA devices equipped in Clouds.