Managing Cloud Computing Across the Product Lifecycle
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Talk given by myself and David Wagner at WeB2019 about applying the well-established Product Lifecycle model when selecting the right delivery model of Cloud Computing for a digital product in the marketspace. Also provides some insights into how the delivery model should be adapted over time.
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The Journal of Systems and Software 120 (2016) 31–69 Conte.docx
The Journal of Systems and Software 120 (2016) 31–69
Contents lists available at ScienceDirect
The Journal of Systems and Software
journal homepage: www.elsevier.com/locate/jss
Cloud migration process—A survey, evaluation framework, and open
challenges
Mahdi Fahmideh Gholami a , ∗, Farhad Daneshgar a , b , Graham Low a , Ghassan Beydoun c
a Information Systems, Technology and Management Australian School of Business, University of New South Wales, West Wing Room 2106, Quadrangle
Building, Sydney 2052, Australia
b Bangkok University, Bangkok, Thailand
c School of Management, Leadership and Information Systems, University of Technology Sydney, Australia
a r t i c l e i n f o
Article history:
Received 15 December 2015
Revised 17 April 2016
Accepted 27 June 2016
Available online 28 June 2016
Keywords:
Cloud migration
Legacy application
Evaluation framework
Migration methodology
Process model
Cloud computing
a b s t r a c t
Moving mission-oriented enterprise software applications to cloud environments is a crucial IT task and
requires a systematic approach. The foci of this paper is to provide a detailed review of extant cloud
migration approaches from the perspective of the process model. To this aim, an evaluation framework
is proposed and used to appraise and compare existing approaches for highlighting their features, simi-
larities, and key differences. The survey distills the status quo and makes a rich inventory of important
activities, recommendations, techniques, and concerns that are common in a typical cloud migration pro-
cess in one place. This enables both academia and practitioners in the cloud computing community to get
an overarching view of the process of the legacy application migration to the cloud. Furthermore, the sur-
vey identifies a number challenges that have not been yet addressed by existing approaches, developing
opportunities for further research endeavours.
© 2016 Elsevier Inc. All rights reserved.
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. Introduction
Many enterprise software applications that support IT functions
re characterized by the need for high computing capability, scal-
bility, and resource consumption ( Buyya et al., 2009; Armbrust
t al., 2010 ). In recent years, cloud computing initiatives have re-
eived significant attention towards addressing these requirements
hrough offering services in various forms such as SaaS (software
s a service), PaaS (platform as a service), and IaaS (infrastruc-
ure as a service) which are universally accessible, acquirable, and
eleasable on the fly, and payable on the basis of service usage
mount. Given these advantages, many IT-based organisations have
een interested in moving their legacy assets to cloud environ-
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CHAPTER TWO13Literature Review041
CHAPTER TWO 13
Literature Review
04/18/2021
Introduction
Cloud computing is taking a central position in many small and medium-sized organizations in Europe after the European Union emphasized improving information and communication technologies. Studies reveal that some small and medium-sized companies opt for other cheaper information communication alternatives due to resource limitations. They may not choose information systems that require a considerable amount of financial resources. A study by (Zissis & Lekkas, 2012) argues that cloud computing involves keeping the infrastructure, data, and applications on the internet to be managed by service providers. The use of cloud computing puts the globe precisely at the fingertips of users. It has elevated competitiveness in the business world and challenges managers to take a strategic move and grab the associated opportunities associated with cloud computing. With its advantages, it is a promising solution for businesses of all sizes. Comment by Brenda Schrantz: Unnecessary word.
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technologies such as customer relationship management (CRM), supply chain management (SCM), and
cloud computing are analyzed by using a corpus of 4,772 newspaper articles. For these examples,
Gompertz functions show better fit than logistic functions. For the combined curve, polynomial functions of
degree 9 provide the best fit, with adjusted R-square values of more than 0.97.
Simulating hype cycle curves with mathematical functions some examples of hig...
In this study, a method to simulate Gartner’s hype cycle [1] is proposed. A search of the academic
literature on this topic provides no clear guidance on how to draw hype cycle curves with mathematical
functions. This article explores a new process for simulating the curve as a combination of bell-shaped
curves and S-shaped curves, and applies this process to some high-tech innovations in Japan. Trends in
technologies such as customer relationship management (CRM), supply chain management (SCM), and
cloud computing are analyzed by using a corpus of 4,772 newspaper articles. For these examples,
Gompertz functions show better fit than logistic functions. For the combined curve, polynomial functions of
degree 9 provide the best fit, with adjusted R-square values of more than 0.97.
The Journal of Systems and Software 120 (2016) 31–69 Conte.docx
The Journal of Systems and Software 120 (2016) 31–69
Contents lists available at ScienceDirect
The Journal of Systems and Software
journal homepage: www.elsevier.com/locate/jss
Cloud migration process—A survey, evaluation framework, and open
challenges
Mahdi Fahmideh Gholami a , ∗, Farhad Daneshgar a , b , Graham Low a , Ghassan Beydoun c
a Information Systems, Technology and Management Australian School of Business, University of New South Wales, West Wing Room 2106, Quadrangle
Building, Sydney 2052, Australia
b Bangkok University, Bangkok, Thailand
c School of Management, Leadership and Information Systems, University of Technology Sydney, Australia
a r t i c l e i n f o
Article history:
Received 15 December 2015
Revised 17 April 2016
Accepted 27 June 2016
Available online 28 June 2016
Keywords:
Cloud migration
Legacy application
Evaluation framework
Migration methodology
Process model
Cloud computing
a b s t r a c t
Moving mission-oriented enterprise software applications to cloud environments is a crucial IT task and
requires a systematic approach. The foci of this paper is to provide a detailed review of extant cloud
migration approaches from the perspective of the process model. To this aim, an evaluation framework
is proposed and used to appraise and compare existing approaches for highlighting their features, simi-
larities, and key differences. The survey distills the status quo and makes a rich inventory of important
activities, recommendations, techniques, and concerns that are common in a typical cloud migration pro-
cess in one place. This enables both academia and practitioners in the cloud computing community to get
an overarching view of the process of the legacy application migration to the cloud. Furthermore, the sur-
vey identifies a number challenges that have not been yet addressed by existing approaches, developing
opportunities for further research endeavours.
© 2016 Elsevier Inc. All rights reserved.
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. Introduction
Many enterprise software applications that support IT functions
re characterized by the need for high computing capability, scal-
bility, and resource consumption ( Buyya et al., 2009; Armbrust
t al., 2010 ). In recent years, cloud computing initiatives have re-
eived significant attention towards addressing these requirements
hrough offering services in various forms such as SaaS (software
s a service), PaaS (platform as a service), and IaaS (infrastruc-
ure as a service) which are universally accessible, acquirable, and
eleasable on the fly, and payable on the basis of service usage
mount. Given these advantages, many IT-based organisations have
een interested in moving their legacy assets to cloud environ-
ents. It is estim.
Poster ECIS 2016
This document proposes developing a competence-based model for securing the internet of things (IoT) in organizations. It aims to define the required set of organizational competences for IoT products and services regarding information security. The research will use a design science methodology to develop and empirically test a model of organizational competence for IoT security based on an existing model. This will help managers assess their competences against future requirements and properly align their IoT approaches regarding customer information security.
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Construction Lifecycle Management promotes new ways of thinking and doing business, aiming to achieve Lean by delivering an innovative Construction Process Integration framework to manage holistically all the phases of the Lifecycle of a Capital Asset: design, build, operate and retirement.
15.pdf
1. The document proposes a digital twin-based approach for managing assembly data and process traceability for complex products like satellites and aircraft.
2. A framework is constructed using digital twin technology to organize product assembly data through workflows and synchronously model the assembly process. This enables hierarchical management and traceability of assembly data.
3. An algorithm is created to generate a product assembly data package that includes assembly data management, process traceability, and data package generation. A Digital Twin-based Assembly Process Management and Control System is designed to verify the approach.
CHAPTER TWO13Literature Review041
CHAPTER TWO 13
Literature Review
04/18/2021
Introduction
Cloud computing is taking a central position in many small and medium-sized organizations in Europe after the European Union emphasized improving information and communication technologies. Studies reveal that some small and medium-sized companies opt for other cheaper information communication alternatives due to resource limitations. They may not choose information systems that require a considerable amount of financial resources. A study by (Zissis & Lekkas, 2012) argues that cloud computing involves keeping the infrastructure, data, and applications on the internet to be managed by service providers. The use of cloud computing puts the globe precisely at the fingertips of users. It has elevated competitiveness in the business world and challenges managers to take a strategic move and grab the associated opportunities associated with cloud computing. With its advantages, it is a promising solution for businesses of all sizes. Comment by Brenda Schrantz: Unnecessary word.
Research identifies the key advantages of cloud computing: increased innovation and collaboration, time and cost efficiency, scalability, flexibility, and quick retrieval of data if there is an emergency. Nevertheless, cloud computing is also linked to security and confidentiality matters, compliance challenges, lack of control, and switching costs (Sharma et al., 2017). Over the past few years, cloud computing's adoption has become increasingly significant, considering the internet is one of the most developed infrastructures across the world. Research has also revealed that regardless of the seeming benefits, cloud computing adoption is still unsuccessful in some companies. The potential and benefits of cloud computing are evident, and several empirical studies evidence the progress of adoption in different sectors. This paper analyses existing literature on the aspects that impact cloud computing adoption. Comment by Brenda Schrantz: Sentence fragment
The TOE model will be used as the theoretical framework upon which the hypothesis will be tested.
Purpose of Review
The drive of this review is to get insights into present literature and debates that are relevant to the research topic. It will present the current knowledge that will lead to an understanding of the variables in the research. As a researcher, this review will help build the knowledge base and learn important concepts such as research approaches and methods and experimental techniques. The review will also be resourceful because it teaches the researcher how to apply knowledge in solving real-world problems. By reading existing literature, the researcher will understand the presentation of research findings, making one a better researcher and research writer. Comment by Brenda Schrantz: Series...."research approaches, methods, and experimental techniques."
This review will also enable the researcher to understand the community's ...
How will cloud computing transform technology
Cloud computing has huge potential to transform technology by providing on-demand access to computing resources over the network. It is growing rapidly with increasing adoption across industries like healthcare, education and small businesses. The future of cloud computing looks promising with continued growth driven by factors like increased internet access, industry adoption and government initiatives. Hybrid IT models that leverage both public and private clouds are expected to be the dominant architecture going forward.
2019 Enterprise Cloud Index Report
Is Hybrid Cloud becoming the default?
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Craig Ellis MBA Dissertation
This document is the table of contents for an MBA dissertation analyzing cloud computing in relation to its value and security/risk management. The dissertation will examine the benefits of cloud computing and identify associated risks. It will also explore security and risk management issues for companies adopting cloud computing and how to mitigate these risks. The dissertation will include a literature review on cloud computing's value and security challenges, a description of the data collection and analysis methodologies used, an analysis of survey results on industry professionals' views of cloud computing, and conclusions/recommendations.
The Overview of Cloud Manufacturing Technology Research
Cloud manufacturing (CM) is a new, service-oriented and web-based manufacturing model. Through the virtualization and servitization of manufacturing resources and manufacturing capabilities, it is aimed to achieve large-scale gains, multi-win-win situation and highly efficient sharing and collaboration of distributed resources. Based on the currently related cloud manufacturing researches, this paper introduces the background of cloud manufacturing, then describes and analyzes its definition, system composition and operational principle, system architecture, typical characteristics, key technologies. Current application status of cloud manufacturing is summarized from different angles. Finally, the conclusion and outlook is given.
An Overview of Open Source Solutions in Cloud Computing
This document provides an overview of open source cloud computing solutions. It discusses several popular open source solutions including Xen Cloud Platform, Nimbus, OpenNebula, TPlatform, and Apache Virtual Computing Lab. These solutions can be used to build public, private, and hybrid clouds. They provide infrastructure as a service, platform as a service, and software as a service capabilities. While these open source solutions are standardized, each has different interfaces, negotiation processes, and access methods. There remains a need to further standardize current open source cloud platforms.
Lean Waste Assessment and Blue Print for Elimination of Waste Through Lean Di...
The document discusses lean waste assessment and methods to eliminate waste in the construction industry through lean digital methods. It analyzes the types of managerial waste in construction projects, ranks them based on frequency of occurrence, and ranks various lean waste elimination methods based on their use in industry. The goal is to determine the key drivers of waste in construction and the most suitable waste elimination method to reduce managerial waste from a lean perspective.
Visual and analytical mining of sales transaction data for production plannin...
Recent developments in information technology paved the way for the collection of large amounts of data pertaining to various aspects of an enterprise. The greatest challenge faced in
processing these massive amounts of raw data gathered turns out to be the effective management of data with the ultimate purpose of deriving necessary and meaningful information
out of it. The following paper presents an attempt to illustrate the combination of visual and analytical data mining techniques for planning of marketing and production activities. The
primary phases of the proposed framework consist of filtering, clustering and comparison steps implemented using interactive pie charts, K-Means algorithm and parallel coordinate plots
respectively. A prototype decision support system is developed and a sample analysis session is conducted to demonstrate the applicability of the framework.
http://research.sabanciuniv.edu.
International Journal of Engineering Research and Development (IJERD)
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
An Approach of Improve Efficiencies through DevOps Adoption
This document discusses adopting DevOps practices to improve organizational efficiencies. It begins with an abstract discussing how organizations waste resources and how DevOps aims to address this through lean principles and continuous feedback. It then discusses the history and concepts of DevOps, proposing a DevOps adoption model. It outlines factors that affect IT performance and cultural transformation. The document also describes the research design of a study conducted through interviews with DevOps professionals. It identifies four main challenges to DevOps adoption: lack of awareness, lack of support, implementing technologies, and adapting processes. The analysis focuses on the lack of awareness challenge, noting confusion around DevOps definitions and resistance to "buzzwords".
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Managing Cloud Computing Across the Product Lifecycle
- 1. MANAGING CLOUD COMPUTING ACROSS THE PRODUCT LIFECYCLE: DEVELOPMENT OF A CONCEPTUAL MODEL TIMO PUSCHKASCH & DAVID WAGNER MUNICH, 14.12.2019
- 2. OUTLINE 1. Motivation 2. Theoretical Foundation 3. Results 4. Conclusion
- 3. 1. MOTIVATION Focus of research: provide a conceptual model for the use of cloud computing in digital product development Cloud computing is considered a – and possibly the – strategic driver of digital product development (Bharadwaj et al. 2013; Hanelt et al. 2015), with the main reasons being low entry barriers and high scalability In a recent review, only about 9% of the 285 articles under scrutiny were an attempt to conceptualize the phenomenon of cloud computing, the vast majority of papers (235) were classified as atheoretical, meaning that no theoretical frame was provided (Senyo et al. 2018) The product lifecycle was selected as an established theoretical model because benefits of cloud computing are not equally distributed across the lifecycle, therefore a detailed analysis by lifecycle stage is required
- 4. 2. THEORETICAL FOUNDATION Cloud Computing a way for organizations to obtain “ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources” (Mell and Grance 2011, p. 2) Four deployment models: (Mell and Grance 2011) private cloud: resources used exclusively by one organization public cloud: resources shared by all organizations opting to participate community cloud: similar to public cloud but used only be a defined group of organizations hybrid cloud: a combined use of at least two of the previous models Product Lifecycle Used to define the lifecycle of products in a marketplace (Vernon 1966) Consists of four stages: Introduction Stage, Growth Stage, Maturity or Stabilization Stage, and Decline Stage (Cox 1967; Rink and Swan 1979)
- 5. 3. RESULT – MAPPING CLOUD BENEFITS TO THE PRODUCT LIFECYCLE the distinct challenges of each stage on the product lifecycle can be defined (Cox 1967; Levitt 1965) It can be assumed that the change in challenges across the product lifecycle stages will also require different aspects from the underlying resources and infrastructure (Strader et al. 1998), of which cloud computing can be a key part in digital products (Marston et al. 2011)
- 6. 4. RESULT – CLOUD-LIFECYCLE-BENEFIT-MATRIX Applicability of Benefit Stage Cloud Computing Benefit Private Cloud Community Cloud Public Cloud Hybrid Cloud I. Introduction High scalability of resources Medium Medium High High Lower cost of entry Low Medium High Medium II. Growth Lower barrier for innovation Medium Medium High High III. Maturity Lower barrier for innovation Medium Medium High High Access to specialized technology Low Medium High High Ability to optimize for specific workload High Medium Low High IV. Decline High scalability of resources Medium Medium High High Own depiction
- 7. 4. RESULT – MOST BENEFICIAL CLOUD DEPLOYMENT MODEL PER LIFECYCLE STAGE Introduction: Public Cloud Growth: Public Cloud or Hybrid Cloud Maturity: Hybrid Cloud Decline: Public Cloud or Hybrid Cloud Own depiction, based on mapping provided on previous slide
- 8. 5. CONCLUSION The contribution of this paper is twofold: Theoretical: We offer a theoretical concept for connecting the product lifecycle with cloud computing as a foundation for further research and discussion by other researchers, thus contributing to closing the gap identified by Senyo et al. (2018) Managerial: The paper provides a means for IT managers who are responsible for cloud computing in their organization for determining the appropriate use of cloud computing when developing or improving a digital product. We have identified three possibilities for furthering our research: Researching additional factors influencing the selection of cloud deployment models to facilitate the creation of a holistic conceptual model to select the optimal model for a new digital product, Investigation of ways the critical switch from public to hybrid cloud models can be facilitated, and Empirical research into new digital product developments to verify the assumptions underlying our conceptual model
- 9. REFERENCES Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., and Venkatraman, N. 2013. “Digital Business Strategy: Toward a Next Generation of Insights,” MIS Quarterly (37:2), pp. 471–482. Senyo, P. K., Addae, E., and Boateng, R. 2018. “Cloud Computing Research: A Review of Research Themes, Frameworks, Methods and Future Research Directions,” International Journal of Information Management (38:1), pp. 128–139. Hanelt, A., Piccinini, E., Gregory, R. W., Hildebrandt, B., and Kolbe, L. M. 2015. "Digital Transformation of Primarily Physical Industries - Exploring the Impact of Digital Trends on Business Models of Automobile Manufacturers". Wirtschaftsinformatik 2015 Proceedings. 88. Mell, P. M., and Grance, T. 2011. “The NIST Definition of Cloud Computing,” Special Publication (NIST SP) - 800-145. Cox, W. E. 1967. “Product Life Cycles as Marketing Models,” The Journal of Business (40:4), pp. 375–384. Rink, D. R., and Swan, J. E. 1979. “Product Life Cycle Research: A Literature Review,” Journal of Business Research (7:3), pp. 219–242. Vernon, R. 1966. “International Trade and International Investment in the Product Cycle,” Quarterly Journal of Economics (80:2), pp. 190–207. Levitt, T. 1965. “Exploit the Product Life Cycle,” Harvard Business Review (November 1965). Strader, T. J., Lin, F.-R., and Shaw, M. J. 1998. “Information Infrastructure for Electronic Virtual Organization Management,” Decision Support Systems (23:1), pp. 75–94. Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., and Ghalsasi, A. 2011. “Cloud Computing — The Business Perspective,” Decision Support Systems (51:1), pp. 176–189.
Editor's Notes
- The applicability was determined based on the challenges defined by the authors and the impact the benefit might have in facing these challenges, reasoning is provided in detail in our paper
- The applicability was determined based on the challenges defined by the authors and the impact the benefit might have in facing these challenges, reasoning is provided in detail in our paper