Call for Chapters: An IT Service Engineering and Management Approach – Data Centers

Call for Chapters

 

Book titled:

“Engineering and Management of Data Centers:

an IT Service Management Approach”

 

Book series:

“Service Science: Research and Innovations in the Service Economy”

Springer-Verlag, London Ltd.

 

 

 

BOOK’S OBJECTIVE:

 

This book will cover essential, modern and emergent knowledge on the engineering and management of data centers. Data centers are currently key organizational assets, and their high value proposition in ensuring business continuity operations has been highlighted. Topics include planning, design, implementation, operation and control, maintenance, reallocation and disposal of data centers from a research, didactical and practitioner viewpoint. Expected readers are practitioners in data centers, researchers in the area and faculty teaching related courses on data centers.

 

BOOK’S RATIONALE:

 

Data centers are installations specifically built with the primary purpose to house, and provide the adequate environmental conditions (space, power, cooling, and physical security) for the computer and telecommunication equipment used in an organization (Snevely, 2002). Data centers have been a relevant organizational asset for containing valuable information resources and channels for providing IT functionalities to local and remote end users. Furthermore, in the last decade, with the explosion of web-based and inter-organizational systems for local and remote, and internal and external users, in large and medium-sized organizations with international operations, the data centers can be considered as mission-critical assets whose availability, performance, power efficiency, security, continuity, and overall effectiveness must be guaranteed in order to avoid critical downtimes (Arregoces and Portolani, 2003; Bilal et al., 2013). Industry reports (Siemon, 2005; ENP, 2011) indicate that 1-hr downtime costs in data centers varies from US $10,000 to US $6,000,000 to organizations providing services such as: ATM, cellular services, air line reservations, on-line shopping, package shipping, credit card authorizations, and brokerage operations. Additional to direct financial costs, organizations can also suffer negative impacts from a data center’s downtime on: image by business disruption, end-user productivity, IT productivity, and third-party operational delay (ENP, 2011).

 

The planning, design, implementation, operation and control, maintenance, evolution, and disposal (when the useful data center’s life has been reached) of data centers, in modern times represents a complex process (Holtsnider and Jaffe, 2012). The explosion of Information and Communication Technologies (ICT) has introduced engineering technical challenges for data centers engineers. Consequently, data center planning and design processes must consider relevant issues such as: integration, interoperability, security, reliability, serviceability, manageability, controllability, scalability, safety, virtualization, energy efficiency and overall performance by including a myriad of ICT (Greenberg et al., 2006; Daim et al., 2009; Alaraifi et al., 2013; Covas et al., 2013). In turn, the economic, and socio-political environmental international issues have also introduced managerial challenges for data center managers regarding green IT initiatives, IT service management initiatives, IT managerial cost reduction, provision of effective valued IT services, timely release of IT services, and assuring a high IT service availability and continuity status (Conger et al., 2008; Galup et al., 2009). In particular, the conceptualization of data centers as service systems (Mora et al., 2009; Törhönen, 2014) and the link with the design of IT services (Mora et al., 2015) as well as their final implementation in data centers is missing in the literature.

 

Hence, updated, integrative, scientific and practical knowledge is required to address this engineering and managerial complexity for planning, designing, implementing, operating and controlling, maintaining, evolving, and disposal of data centers. Traditionally, the knowledge sources on data center processes have come from the ICT industry. Nevertheless, we consider that knowledge with rigor and relevance must be produced from both academia and industry. ICT academia has published research on IT service management process frameworks, cloud computing performance models (Bilal et al., 2014), and other related issues. On the other hand, ICT industry has advanced with green IT metrics (Daim et al., 2009; Loos et al., 2011; Wang and Khan, 2011), maturity models (Singh et al., 2011) and best practices for software development such as DevOps (Kim et al., 2015; Stier et al., 2015) where data center engineers are included for a fast and correct software release (Pollard et al., 2010; Kliazovich et al., 2012).

 

Furthermore, we consider that the knowledge gap between the academic and industry perspectives has widened regarding the engineering and management of data centers. This is due to the explosion of ICT, the high costs for having data centers laboratories in the academic environment, the lack of textbooks on Data Centers, and the scarcity of undergraduate and graduate courses on these topics (Schaeffer, 1981; Gusev et al., 2014; Memari et al., 2014).

 

 

References

 

Alaraifi, A., Molla, A., and Deng, H. (2013). An Empirical Analysis of Antecedents to the Assimilation of Sensor Information Systems in Data Centers. International Journal of Information Technologies and Systems Approach (IJITSA), 6(1), 57-77.

Arregoces, M., and Portolani, M. (2003). Data center fundamentals. Cisco Press. USA.

Bilal, K., Khan, S. U., Zhang, L., Li, H., Hayat, K., Madani, S. A., et al. (2013). Quantitative comparisons of the state‐of‐the‐art data center architectures. Concurrency and Computation: Practice and Experience, 25(12), 1771-1783.

Bilal, K., Malik, S. U. R., Khan, S. U., and Zomaya, A. Y. (2014). Trends and challenges in cloud datacenters. IEEE Cloud Computing, (1), 10-20.

Conger, S., Winniford, M., and Erickson-Harris, L. (2008). Service management in operations. In: Proceedings of the AMCIS 2008, paper 362, (pp. 1-10).

Covas, M. T., Silva, C. A., and Dias, L. C. (2013). Multicriteria decision analysis for sustainable data centers location. International Transactions in Operational Research, 20(3), 269-299.

Daim, T., Justice, J., Krampits, M., Letts, M., Subramanian, G., and Thirumalai, M. (2009). Data center metrics: an energy efficiency model for information technology managers. Management of Environmental Quality: An International Journal, 20(6), 712-731.

ENP (2011). Understanding the cost of data center downtime: an analysis of the financial impact on infrastructure vulnerability. White paper. Emerson Network Power, USA.

Galup, S. D., Dattero, R., Quan, J. J., and Conger, S. (2009). An overview of IT service management. Communications of the ACM, 52(5), 124-127.

Greenberg, S., Mills, E., Tschudi, B., Rumsey, P., and Myatt, B. (2006). Best practices for data centers: Lessons learned from benchmarking 22 data centers. Proceedings of the ACEEE Summer Study on Energy Efficiency in Buildings, ACEEE, Asilomar, CA, August, 3, (pp. 76-87).

Gusev, M., Ristov, S., and Donevski, A. (2014, April). Integrating practical CISCO CCNA courses in the Computer Networks’ curriculum. Proceedings of the Global Engineering Education Conference (EDUCON), 2014 IEEE, 499-506.

Holtsnider, B., and Jaffe, B. D. (2012). IT Manager’s Handbook: Getting your new job done. Elsevier.

Kliazovich, D., Bouvry, P., and Khan, S. U. (2012). GreenCloud: a packet-level simulator of energy-aware cloud computing data centers. The Journal of Supercomputing, 62(3), 1263-1283.

Kim, J., Meirosu, C., Papafili, I., Steinert, R., Sharma, S., Westphal, F. J., et al. (2015). Service provider DevOps for large scale modern network services. In: Proceedings of the 10th International Workshop on Business-driven IT Management, (BDIM 2015), 1391-1397.

Loos, P., Nebel, W., Gómez, J. M., Hasan, H., Watson, R. T., vom Brocke, J., et al. (2011). Green IT: a matter of business and information systems engineering?. Business and Information Systems Engineering, 3(4), 245-252.

Memari, A., Vornberger, J., Marx Gómez, J., and Nebel, W. (2014). A data center simulation framework based on an ontological foundation. In: Proceedings of the Proceedings of the 28th EnviroInfo 2014 Conference, Oldenburg, Germany, September 10-12, (pp. 1-8).

Mora, M., Raisinghani, M., O’Connor, R., and Gelman, O. (2009). Toward an Integrated Conceptualization of the Service and Service System Concepts: a Systems Approach. International Journal of Information Systems in the Service Sector (IJISSS), 1(2), 36-57.

Mora, M., R., Marx, J., O’Connor, Raisinghani, M. and Gelman, O. (2015). An Extensive Review of IT Service Design in Seven International ITSM Processes Frameworks: Part II. International Journal of Information Technologies and Systems Approach, 8(1), 68-88.

Pollard, C. E., Gupta, D., and Satzinger, J. W. (2010). Teaching systems development: a compelling case for integrating the SDLC with the ITSM lifecycle. Information Systems Management, 27(2), 113-122.

Schaeffer, H. (1981). Data center operations: a guide to effective planning, processing and performance. Prentice Hall Professional Technical Reference.

Siemon (2005). Siemon 10G ip™Data Center Solution. White paper. Siemon Company, USA.

Singh, H., Reuters, T., Azevedo, D., Ibarra, D., Newmark, R., O’Donnell, S., et al. (2011). Data center maturity model. Technical Report. The Green Grid.

Snevely, R. (2002). Enterprise data center design and methodology. Prentice Hall Press, USA.

Stier, C., Koziolek, A., Groenda, H., and Reussner, R. (2015). Model-Based Energy Efficiency Analysis of Software Architectures. In: Proceedings of the Software Architecture 9th European Conference, ECSA 2015, Dubrovnik/Cavtat, Croatia, September 7-11, (pp. 221-238).

Törhönen, V. (2014). Designing a Software-Defined Datacenter. MSc Thesis. Tampere University of Technology, Finland.

Wang, L., and Khan, S. U. (2013). Review of performance metrics for green data centers: a taxonomy study. The Journal of Supercomputing, 63(3), 639-656.

 

KEY TOPICS:

 

High quality fundamental, applied research-oriented and didactical practitioner-viewpoints chapters are welcome on the following key topics that include (but are not limited to):

 

Section I. Foundations on data centers ·         Fundamental concepts·         Overview of data centers·         Evolution of data centers·         Types of data centers (business vs scientific; centralized vs distributed, tiers I, II, III or IV; private vs cloud vs ISP)·         Organizational charts for data centers·         Taxonomies of services provided and consumed in data centers·         The data center as a service system·         Value of data centers Section II. Data centers engineering  ·         General and integrative design methodologies for data centers·         Specific design methods for data center dimensions (e.g. for space layout, for power design, for cooling design, etc)·         Design tools applied to data centers·         Design simulation tools applied to data centers·         Data center architecture design ·         Data center design and ICT architecture design·         Data center ·         Data centers and virtualization approaches·         Data centers and ITSM tools (commercial ones)·         Data centers and ITSM tools (open source ones)cases of·         Data centers equipment benchmarks ·         Data centers software systems benchmarks·         Data centers performance simulation methods·         Data centers reliability simulation methods  Section III. Data centers management ·         Data centers selection methods·         Data centers planning methods·         Data centers risk management methods·         Data centers implementation methods·         Data centers operation and control methods·         Data centers security methods and approaches·         Data centers disaster recovery planning methods·         Data centers capacity planning methods·         Data centers performance evaluation methods·         Data centers retirement or re-allocation methods·         Data centers maturity models·         Data centers metrics (PUE, DCiE, DCP, DCeP, among others)·         Data centers servers metrics ( SPECvirt_sc2013, SPEC CPU2006, SPECweb2009, SPECmail2009, etc)·         Data centers dashboards and others DMSS ·         Data centers and automation services·         Data centers backup methods and approaches·         Data centers standards (TIA 942, Uptime Institute Framework, IEEE 493, etc)·         Data centers certifications·         Data center education in undergraduate and graduate programs·         Data centers financial methods·         Data centers equipment selection and evaluation methods·         Human resource management in data centers·         Data centers end-user satisfaction and quality of service surveys·         Data centers and ITSM frameworks (ITIL, CobIT, CMMI-SVC, MOF 4, ITUP, ISO 20K) Section IV. Data centers emergent topics, challenges and trends ·         Green data centers design approaches·         DevOps methods·         Cloud computing architectures for data centers·         Centralized vs distributed data centers·         Software-defined data center (SDDC)·         Economic value of data centers·         Economic models for allocation of data centers·         Data centers for small organizations·         Corporative data centers challenges and trends·         Analytics for data centers·         Data centers trends·         Data centers challenges

 

IMPORTANT DATES:

 

§         May 31, 2016 – full chapter submission deadline. §         July 15, 2016 – editorial decision deadline (accepted, conditioned or rejected chapter).§         August 15, 2016 – conditioned chapter submission deadlines. §         September 15, 2016 – editorial decision deadline on conditioned chapters.§         September 31, 2016 – camera-ready chapter submission deadline.§         First 2017 quarter – estimated publishing period.       

SUBMISSION PROCESS:

 

Interested authors, please send your full chapter before or on May 31, 2016 to Manuel Mora at mmora@securenym.net with copy to jorge.marx.gomez@uni-oldenburg.de. Each chapter will be evaluated by at least two academic and professional peers on related themes in a blind mode for assessing an editorial decision among: accepted, conditioned or rejected chapter. Conditioned chapters will have an additional opportunity for being improved and evaluated. In the second round evaluation for the conditioned chapters, a definitive editorial decision among: accepted or rejected will be reported. All of the accepted chapters must be submitted according to the Editorial publishing format rules timely. Instructions for authors can be downloaded at the following web links:

 

http://resource-cms.springer.com/springer-cms/rest/v1/content/990/data/v7/Manuscript+guidelines+for+English+books

 

http://www.springer.com/cda/content/document/cda_downloaddocument/T1-book.zip?SGWID=0-0-45-392600-0

 

 

CO-EDITORS:

 

Jorge Marx Gómez, Carl von Ossietzky Universität Oldenburg, Germany

Manuel Mora, Autonomous University of Aguascalientes, Mexico

Rory O’Connor, Dublin City University, Ireland

Wolfgang Nebel, Carl von Ossietzky Universität Oldenburg, Germany

Mahesh Raisinghani, Texas Woman’s University, USA

 

 

 

 

 

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Manuel Mora, EngD.
Full Professor and Researcher Level C
ACM Senior Member / SNI Level I

Department of Information Systems

Autonomous University of Aguascalientes

Ave. Universidad 940
Aguascalientes, AGS
Mexico, 20131

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