A Communication-Aware Energy-Efficient Graph-Coloring Algorithm for VM Placement in Clouds

被引:2
作者
Tziritas, Nikos [1 ]
Loukopoulos, Thanasis [2 ]
Khan, Samee U. [3 ,4 ,5 ]
Xu, Cheng-Zhong [1 ]
Zomaya, Albert Y. [6 ]
机构
[1] Shenzhen Inst Adv Technol, Cloud Comp Dept, Shenzhen, Peoples R China
[2] Univ Thessaly, Dept Comp Sci & Biomed Informat, Lamia, Greece
[3] North Dakota State Univ, Elect & Comp Engn, Fargo, ND 58105 USA
[4] North Dakota State Univ, Div Comp & Network Syst, Fargo, ND 58105 USA
[5] Natl Sci Fdn, Alexandria, VA USA
[6] Univ Sydney, Sch Informat Technol, Sydney, NSW, Australia
来源
2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI) | 2018年
基金
美国国家科学基金会;
关键词
component; VM consolidation; communication-aware algorithms; energy-efficient algorithms; VIRTUAL MACHINES; PERFORMANCE;
D O I
10.1109/SmartWorld.2018.00286
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The problem of virtual machine (VM) consolidation has received a lot of attention over the past years. Most of the proposed techniques tackling the VM consolidation problem focus on energy consumption ignoring the network traffic incurred within the system. Redundant network traffic may be crucial for the sustainability of cloud computing systems. To tackle the aforementioned problem, we propose a communication-aware graph-coloring algorithm placing the VMs in the underlying system in an energy efficient manner. Specifically, the proposed algorithm considers migrating VMs in batches resulting in energy efficient placements against approaches tackling single VM migrations. We have conducted an experimental evaluation to show the superiority of the proposed algorithm against state-of-the-art algorithms in terms of network overhead reduction, while keeping the energy consumption at low levels.
引用
收藏
页码:1684 / 1691
页数:8
相关论文
共 40 条
[1]   Elasticity in Cloud Computing: State of the Art and Research Challenges [J].
Al-Dhuraibi, Yahya ;
Paraiso, Fawaz ;
Djarallah, Nabil ;
Merle, Philippe .
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2018, 11 (02) :430-447
[2]  
[Anonymous], IEEE INT C PAR PROC
[3]  
[Anonymous], P NSDI
[4]  
[Anonymous], IEEE INT C CLUST COM
[5]   Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers [J].
Beloglazov, Anton ;
Buyya, Rajkumar .
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2012, 24 (13) :1397-1420
[6]   Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing [J].
Beloglazov, Anton ;
Abawajy, Jemal ;
Buyya, Rajkumar .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2012, 28 (05) :755-768
[7]   Quantitative comparisons of the state-of-the-art data center architectures [J].
Bilal, Kashif ;
Khan, Samee U. ;
Zhang, Limin ;
Li, Hongxiang ;
Hayat, Khizar ;
Madani, Sajjad A. ;
Min-Allah, Nasro ;
Wang, Lizhe ;
Chen, Dan ;
Iqbal, Majid ;
Xu, Cheng-Zhong ;
Zomaya, Albert Y. .
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2013, 25 (12) :1771-1783
[8]   HV2M: A novel approach to boost inter-VM network performance for Xen-based HVMs [J].
Cheng, Kun ;
Bai, Yuebin ;
Zhao, Yongwang ;
Ma, Yao ;
Lu, Duo ;
Peng, Yuanfeng ;
Zhou, Minxuan .
JOURNAL OF SYSTEMS AND SOFTWARE, 2016, 114 :54-68
[9]  
Curino Carlo, 2011, SIGMOD INT C MANAGEM
[10]   Energy-aware scheduling of virtual machines in heterogeneous cloud computing systems [J].
Duan, Hancong ;
Chen, Chao ;
Min, Geyong ;
Wu, Yu .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2017, 74 :142-150