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apis or web services. Moreover, they

are equipped with advanced

functionalities, such as application

performance monitoring by simulating

the user experience using the

synthetic transaction monitoring

concept, service modeling, auto

discovery and many other capabilities.

furthermore, open source solutions

are widely used and popular among

popular data centers. there are

community forums you can utilize for

help and support in the event you

come across a critical technical issue.

open source monitoring solutions

differ in nature depending on their

capabilities. they range from primitive

availability monitoring tools, such as

nagios and icinga projects, to more

advanced monitoring solutions, such

as zenoss. nagios, for example, is a

primitive open source monitoring

software project that has been widely

used in different data centers, and

serves as the fundamental ground for

several other monitoring projects.

K. SUMMARY

in summary, the selection process of a

bsM solution is subjective, and highly

dependent on several factors defined

by the business needs and objectives.

this includes, but is not limited to the

nature of the data center operations,

business sector requirements and

objectives the center serves, solution

architecture, solution capabilities and

offerings, and the security factors.

IV. CONCLUSION AND

FUTURE WORK

our growing need to provide world-

class and highly available hpC

resources to serve saudi aramco’s oil

and Gas upstream operations has

given us the opportunity to study the

bsM industry and evaluate several

products. in conclusion, the bsM

concept leads the way data center

monitoring is delivered. it aims to

close the gap between it service [10]

organizations and the upstream

business of the organization.

Choosing the right software solution

for that purpose plays a crucial part in

delivering this objective. in this paper,

we provided some insights based on

our experience on how to choose a

cost-effective solution to an it

organization, with more focus on hpC

data centers in an oil and Gas

industry.

our future work includes expanding

our bsM model to include data center

facilities components, mainly

monitoring power and cooling

infrastructure. in addition, we are

working on evaluating the

performance of several enterprise

bsM solutions. this performance

evaluation, together with the

considerations provided in this

research, will further help

organizations to better address their

bsM business needs [9].

Abdullah Aldhamin is Computer Operation Systems Specialist at EXPEC Computer Center, Saudi Aramco.

He can he reached at

abdallah.aldhamin@aramco.com

Bander Alotaibi is Group Lead - Data Center Support Group at EXPEC Computer Center, Saudi Aramco.

He can he reached at

bander.otaibi.3@aramco.com

[1] “Nagios,” [Online]. Available:

https://www.nagios.org/.

[Accessed 13

January 2015].

[2] “Zabbix,” [Online]. Available:

http://www.zabbix.com/.

[Accessed 13

January 2015].

[3] ITIL, “Information Technology Infrastructure Library Official Website,”

[Online]. Available:

https://www.axelos.com/best-practice-

solutions/itil.aspx?utm_source=itil-officialsite. [Accessed 9 July 2015].

[4] “Capability Maturity Model Integration Institute,” [Online]. Available:

http://cmmiinstitute.com/.

[Accessed 1 June 2015].

[5] “Microsoft Operations Framework,” [Online]. Available:

https://technet.microsoft.com/en-us/solutionaccelerators/dd320379.aspx.

[Accessed 1 June 2015].

[6] “Control Objectives for Information and Related Technology,” [Online].

Available:

http://www.isaca.org/Knowledge-

Center/COBIT/Pages/Overview.aspx. [Accessed 1 June 2015].

[7] R. Crosby, “Data Center Optimization: The Value of Business Service

Management,” 25 03 2008. [Online]. Available:

http://www.cio.com/article/2436918/legal/data-center-optimization--the-

value-of-business-service-management.html. [Accessed 13 July 2015].

[8] J. Kowall, “Toolkit: IT Operations Monitoring Assessment and

Rationalization,” Gartner, 2012.

[9] E. Wilson, “Network Monitoring and Analysis: A Protocol Approach to

Troubleshooting,” p. 350, 9 January 2000.

[10] T. Schaaf and O. Appleton, “FitSM,” [Online]. Available:

http://fitsm.itemo.org/files/FedSM-ITSM-intro.pdf.

[Accessed 6 July 2015].

[11] BizTech Magazine, “High Performance Computing’s Role in Energy

Exploration,” 18 July 2014. [Online]. Available:

http://www.biztechmagazine.com/article/2014/07/hpc%E2%80%99s-role-

energy-exploration. [Accessed 01 July 2015].

[12] Information Systems Audit and Control Association, “Control

Objectives for Information and Related Technology,” [Online]. Available:

http://www.isaca.org/cobit/pages/default.aspx.

[Accessed 05 August 2015].

[13] M. Rouse, “ITSM Definition,” TechTarget, [Online]. Available:

http://searchcio.techtarget.com/definition/ITSM.

[Accessed 05 August

2015].

ACKNOWLEDGMENT

The authors would like to thank the EXPEC Computer Center (ECC) at Saudi Aramco for their invaluable support and contributions to conduct this research.

REFERENCES