A survey of data center consolidation in cloud computing systems
作者： Mohamed Nazih Omri , Leila Helali
DOI: 10.1016/J.COSREV.2021.100366
关键词: Virtualization 、 Consolidation (business) 、 Data science 、 Data center 、 Container (abstract data type) 、 Resource (project management) 、 Virtual machine 、 Cloud computing 、 Computer science 、 Resource management
摘要: Abstract Virtualization technology is the backbone of cloud systems, fastest-growing energy consumers, globally. It holds an imperative position in resource management area by providing solutions for many related critical problems and challenges. Resource consolidation remains one techniques most used to develop new more efficient policies. Virtual machine packing, which mainly addressed, allows data centers move from a particular state optimized one. Currently, unprecedented advancements container-based containerized workloads have created opportunities. In this article, we study problem consolidating within distributed systems. We give generic view on IT at different levels services. Firstly, present overview virtualized consolidation. Next, brief thematic taxonomy illustration some literature. This presentation will then be followed discussion certain research questions as well proposal number future orientations field assume essential order contribute resolution problematic dealt with article.
sci-hub.st 参考文章(116)
Xiong Fu, Chen Zhou, Virtual machine selection and placement for dynamic consolidation in Cloud computing environment Frontiers of Computer Science. ,vol. 9, pp. 322- 330 ,(2015) , 10.1007/S11704-015-4286-8
Haikun Liu, Cheng-Zhong Xu, Hai Jin, Jiayu Gong, Xiaofei Liao, Performance and energy modeling for live migration of virtual machines Cluster Computing. ,vol. 16, pp. 249- 264 ,(2013) , 10.1007/S10586-011-0194-3
Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila, LiRCUP: Linear Regression Based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers software engineering and advanced applications. pp. 357- 364 ,(2013) , 10.1109/SEAA.2013.23
Fanxin Kong, Xue Liu, A Survey on Green-Energy-Aware Power Management for Datacenters ACM Computing Surveys. ,vol. 47, pp. 30- ,(2014) , 10.1145/2642708
Lin Gu, Deze Zeng, Ahmed Barnawi, Song Guo, Ivan Stojmenovic, Optimal Task Placement with QoS Constraints in Geo-Distributed Data Centers Using DVFS IEEE Transactions on Computers. ,vol. 64, pp. 2049- 2059 ,(2015) , 10.1109/TC.2014.2349510
Bhathiya Wickremasinghe, Rodrigo N Calheiros, Rajkumar Buyya, None, CloudAnalyst: A CloudSim-Based Visual Modeller for Analysing Cloud Computing Environments and Applications advanced information networking and applications. pp. 446- 452 ,(2010) , 10.1109/AINA.2010.32
KyoungSoo Park, Vivek S. Pai, CoMon ACM SIGOPS Operating Systems Review. ,vol. 40, pp. 65- 74 ,(2006) , 10.1145/1113361.1113374
Rodrigo N Calheiros, Rajiv Ranjan, Anton Beloglazov, César AF De Rose, Rajkumar Buyya, None, CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms Software - Practice and Experience. ,vol. 41, pp. 23- 50 ,(2011) , 10.1002/SPE.995
Yona Raekow, Christian Simmendinger, Ottmar Krämer-Fuhrmann, License management in grid and high performance computing international supercomputing conference. ,vol. 23, pp. 275- 281 ,(2009) , 10.1007/S00450-009-0078-4
Fei Xu, Fangming Liu, Linghui Liu, Hai Jin, Bo Li, Baochun Li, iAware: Making Live Migration of Virtual Machines Interference-Aware in the Cloud IEEE Transactions on Computers. ,vol. 63, pp. 3012- 3025 ,(2014) , 10.1109/TC.2013.185