A Metrics Based Analysis of Cloud Resource Management Techniques

被引:0
作者
Chowdhury, Abishi [1 ]
Tripathi, Priyanka [1 ]
机构
[1] Natl Inst Tech Teachers Training & Res, Dept Comp Engg & Applicat, Bhopal, India
来源
2014 INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES (ICACCCT) | 2014年
关键词
Virtual machine; Map Reduce; Hadoop Distributed File System; Datacenters; Response Time; Load Balancing; Private Cloud; Hybrid Cloud; Public Cloud;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cloud computing is getting popularity day by day. It provides different techniques for utilizing the power of resources. Most importantly, it provides a programmable infrastructure which can be modified accordingly. Due to its programmable infrastructure it is easy to scale. Cloud computing provides on demand services to the cloud user. Virtualization is the root of cloud computing. Cloud computing provides services to the users in the form of virtual resources. These resources can be the infrastructure, software, application and can be the data also. The management of these resources is very important. There are different techniques for managing these resources and allocating and taking back these resources from the users. In this paper, we have studied these techniques and provided important points of these techniques.
引用
收藏
页码:1632 / 1636
页数:5
相关论文
共 16 条
[1]  
[Anonymous], MAPREDUCE SIMPLIFIED
[2]  
Beloglazov A., 2010 10 IEEE ACM INT
[3]  
Calheiros Rodrigo N., COST EFFECTIVE PROVI
[4]  
Garg Saurabh Kumar, ENERGY EFFICIENT SCH
[5]  
Lancellotti Riccardo, DYNAMIC REQUEST MANA
[6]  
Lee G., HETEROGENEITY AWARE
[7]  
Li Jiandun, 2011, J CONVERGENCE INFORM, V6
[8]  
Li Jiandun, 2011, J INFORM COMPUTATION
[9]  
Lin W., 2011, THRESHOLD BASED DYNA
[10]  
Liu K., COMPROMISED TIME COS