   ---------- Forwarded message ----------
   From: <[1]mmora@securenym.net>
   Date: Tue, Oct 27, 2015 at 2:47 PM
   Subject: [AISWorld] CFC: book on Data Centers and ITSM
   To: [2]AISWorld@lists.aisnet.org
   Cc: [3]wolfgang.nebel@offis.de, [4]MRaisinghani@mail.twu.edu,
   [5]roconnor@computing.dcu.ie, [6]jorge.marx.gomez@uni-oldenburg.de
   *******A  Call for Chapters *******
   Book titled:
   aEngineering and Management of Data Centers: an IT Service Management
   Approach"
   Book series:
   aService Science: Research and Innovations in the Service Economya
   Springer-Verlag, London Ltd.
   BOOKaS 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.
   BOOKaSA  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
   centeras
   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 centeras 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; TAP:rhAP:nen, 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 modelsA  (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&#8208;of&#8208;the&#8208;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., GA^3mez, 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 GA^3mez, 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., OaConnor, R., and Gelman, O. (2009). Toward
   an
   Integrated Conceptualization of the Service and Service System
   Concepts:
   a Systems Approach.A  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 ipa-c-Data Center Solution. White paper.
   Siemon
   Company, USA.
   Singh, H., Reuters, T., Azevedo, D., Ibarra, D., Newmark, R.,
   OaDonnell,
   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).
   TAP:rhAP:nen, 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.A  Foundations on data centers
   a-c-A  A  A  A Fundamental concepts
   a-c-A  A  A  A Overview of data centers
   a-c-A  A  A  A Evolution of data centers
   a-c-A  A  A  A Types of data centers (business vs scientific;
   centralized vs
   distributed, tiers I, II, III or IV; private vs cloud vs ISP)
   a-c-A  A  A  A Organizational charts forA  data centers
   a-c-A  A  A  A Taxonomies of services provided and consumed in data
   centers
   a-c-A  A  A  A The data center as a service system
   a-c-A  A  A  A Value of data centers
   Section II. Data centers engineering
   a-c-A  A  A  A General and integrative design methodologies for data
   centers
   a-c-A  A  A  A Specific design methods for data center dimensions (e.g.
   for space
   layout, for power design, for cooling design, etc)
   a-c-A  A  A  A Design tools applied to data centers
   a-c-A  A  A  A Design simulation tools applied to data centers
   a-c-A  A  A  A Data center architecture design
   a-c-A  A  A  A Data center design and ICT architecture design
   a-c-A  A  A  A Data center
   a-c-A  A  A  A Data centers and virtualization approaches
   a-c-A  A  A  A Data centers and ITSM tools (commercial ones)
   a-c-A  A  A  A Data centers and ITSM tools (open source ones)cases of
   a-c-A  A  A  A Data centers equipment benchmarks
   a-c-A  A  A  A Data centers software systems benchmarks
   a-c-A  A  A  A Data centers performance simulation methods
   a-c-A  A  A  A Data centers reliability simulation methods
   Section III. Data centers management
   a-c-A  A  A  A Data centers selection methods
   a-c-A  A  A  A Data centers planning methods
   a-c-A  A  A  A Data centers risk management methods
   a-c-A  A  A  A Data centers implementation methods
   a-c-A  A  A  A Data centers operation and control methods
   a-c-A  A  A  A Data centers security methods and approaches
   a-c-A  A  A  A Data centers disaster recovery planning methods
   a-c-A  A  A  A Data centers capacity planning methods
   a-c-A  A  A  A Data centers performance evaluation methods
   a-c-A  A  A  A Data centers retirement or re-allocation methods
   a-c-A  A  A  A Data centers maturity models
   a-c-A  A  A  A Data centers metrics (PUE, DCiE, DCP, DCeP, among
   others)
   a-c-A  A  A  A Data centers servers metrics ( SPECvirt_sc2013, SPEC
   CPU2006,
   SPECweb2009, SPECmail2009, etc)
   a-c-A  A  A  A Data centers dashboards and others DMSS
   a-c-A  A  A  A Data centers and automation services
   a-c-A  A  A  A Data centers backup methods and approaches
   a-c-A  A  A  A Data centers standards (TIA 942, Uptime Institute
   Framework, IEEE 493, etc)
   a-c-A  A  A  A Data centers certifications
   a-c-A  A  A  A Data center education in undergraduate and graduate
   programs
   a-c-A  A  A  A Data centers financial methods
   a-c-A  A  A  A Data centers equipment selection and evaluation methods
   a-c-A  A  A  A Human resource management in data centers
   a-c-A  A  A  A Data centers end-user satisfaction and quality of
   service surveys
   a-c-A  A  A  A Data centers and ITSM frameworks (ITIL, CobIT, CMMI-SVC,
   MOF 4, ITUP,
   ISO 20K)
   Section IV. Data centers emergent topics, challenges and trends
   a-c-A  A  A  A Green data centers design approaches
   a-c-A  A  A  A DevOps methods
   a-c-A  A  A  A Cloud computing architectures for data centers
   a-c-A  A  A  A Centralized vs distributed data centers
   a-c-A  A  A  A Software-defined data center (SDDC)
   a-c-A  A  A  A Economic value of data centers
   a-c-A  A  A  A Economic models for allocation of data centers
   a-c-A  A  A  A Data centers for small organizations
   a-c-A  A  A  A Corporative data centers challenges and trends
   a-c-A  A  A  A Analytics for data centers
   a-c-A  A  A  A Data centers trends
   a-c-A  A  A  A Data centers challenges
   IMPORTANT DATES:
   May 31, 2016 a full chapter submission deadline.
   July 15, 2016 a editorial decision deadline (accepted, conditioned or
   rejected chapter).
   August 15, 2016 a conditioned chapter submission deadlines.
   September 15, 2016 a editorial decision deadline on conditioned
   chapters.
   September 31, 2016 a camera-ready chapter submission deadline.
   First 2017 quarter a estimated publishing period.
   SUBMISSION PROCESS:
   Interested authors, please send your full chapter before or on May 31,
   2016 to Manuel Mora at [7]mmora@securenym.net with copy to
   [8]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:
   [9]http://resource-cms.springer.com/springer-cms/rest/v1/content/990/da
   ta/v7/Manuscript+guidelines+for+English+books
   [10]http://www.springer.com/cda/content/document/cda_downloaddocument/T
   1-book.zip?SGWID=0-0-45-392600-0
   CO-EDITORS:
   Jorge Marx GA^3mez, Carl von Ossietzky UniversitACURt Oldenburg,
   Germany
   Manuel Mora, Autonomous University of Aguascalientes, Mexico
   Rory OaConnor, Dublin City University, Ireland
   Wolfgang Nebel, Carl von Ossietzky UniversitACURt Oldenburg, Germany
   Mahesh Raisinghani, Texas Womanas University, USA
   _______________________________________________
   AISWorld mailing list
   [11]AISWorld@lists.aisnet.org
   --
   -----------------------------------------------------------------------
   ---
   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
   A ---------------------------------------------------------------------
   -----

References

   1. mailto:mmora@securenym.net
   2. mailto:AISWorld@lists.aisnet.org
   3. mailto:wolfgang.nebel@offis.de
   4. mailto:MRaisinghani@mail.twu.edu
   5. mailto:roconnor@computing.dcu.ie
   6. mailto:jorge.marx.gomez@uni-oldenburg.de
   7. mailto:mmora@securenym.net
   8. mailto:jorge.marx.gomez@uni-oldenburg.de
   9. http://resource-cms.springer.com/springer-cms/rest/v1/content/990/data/v7/Manuscript+guidelines+for+English+books
  10. http://www.springer.com/cda/content/document/cda_downloaddocument/T1-book.zip?SGWID=0-0-45-392600-0
  11. mailto:AISWorld@lists.aisnet.org
