A survey of Cloud monitoring tools: Taxonomy, capabilities and objectives

被引:98
作者
Fatema, Kaniz [1 ]
Emeakaroha, Vincent C. [1 ]
Healy, Philip D. [1 ]
Morrison, John P. [1 ]
Lynn, Theo [2 ]
机构
[1] Natl Univ Ireland Univ Coll Cork, Irish Ctr Cloud Comp & Commerce, Cork, Ireland
[2] Dublin City Univ, Irish Ctr Cloud Comp & Commerce, Dublin 9, Ireland
关键词
Cloud management; Monitoring tools; Cloud operational areas; Capabilities; Taxonomy; Survey; SERVICE; SYSTEM;
D O I
10.1016/j.jpdc.2014.06.007
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The efficient management of Cloud infrastructure and deployments is a topic that is currently attracting significant interest. Complex Cloud deployments can result in an intricate layered structure. Understanding the behaviour of these hierarchical systems and how to manage them optimally are challenging tasks that can be facilitated by pervasive monitoring. Monitoring tools and techniques have an important role to play in this area by gathering the information required to make informed decisions. A broad variety of monitoring tools are available, from general-purpose infrastructure monitoring tools that predate Cloud computing, to high-level application monitoring services that are themselves hosted in the Cloud. Surveying the capabilities of monitoring tools can identify the fitness of these tools in serving certain objectives. Monitoring tools are essential components to deal with various objectives of both Cloud providers and consumers in different Cloud operational areas. We have identified the practical capabilities that an ideal monitoring tool should possess to serve the objectives in these operational areas. Based on these identified capabilities, we present a taxonomy and analyse the monitoring tools to determine their strength and weaknesses. In conclusion, we present our reflections on the analysis, discuss challenges and identify future research trends in the area of Cloud monitoring. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:2918 / 2933
页数:16
相关论文
共 93 条
  • [1] Aceto G., 2012, Proceedings of the 2012 IEEE 1st International Conference on Cloud Networking (CLOUDNET 2012), P63, DOI 10.1109/CloudNet.2012.6483656
  • [2] Cloud monitoring: A survey
    Aceto, Giuseppe
    Botta, Alessio
    de Donato, Walter
    Pescape, Antonio
    [J]. COMPUTER NETWORKS, 2013, 57 (09) : 2093 - 2115
  • [3] Amazon, 2009, AMAZON CLOUDWATCH DE
  • [4] GridICE: a monitoring service for Grid systems
    Andreozzi, S
    De Bortoli, N
    Fantinel, S
    Ghiselli, A
    Rubini, GL
    Tortone, G
    Vistoli, MC
    [J]. FUTURE GENERATION COMPUTER SYSTEMS, 2005, 21 (04) : 559 - 571
  • [5] [Anonymous], 2010, Zabbix 1.8 Network Monitoring
  • [6] [Anonymous], 2014, IBM TIVOLI MONITORIN
  • [7] [Anonymous], 2007, P WORKSH GRID MON
  • [8] [Anonymous], 2014, BOUNDARY APPL MONITO
  • [9] [Anonymous], THESIS IOWA STATE U
  • [10] Bala A., FAULT TOLERANCE CHAL