DOCSLIB.ORG

Essays on Antecedents and Consequences of Cloud Computing Capabilities in Organizations: an Empirical Analysis of Field Data

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Essays on Antecedents and Consequences of Cloud Computing Capabilities in Organizations: an Empirical Analysis of Field Data ESSAYS ON ANTECEDENTS AND CONSEQUENCES OF CLOUD COMPUTING CAPABILITIES IN ORGANIZATIONS: AN EMPIRICAL ANALYSIS OF FIELD DATA BY RUI GUO DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Business Administration in the Graduate College of the University of Illinois at Urbana-Champaign, 2016 Urbana, Illinois Doctoral Committee: Associate Professor Ramanath Subramanyam, Co-Chair, Director of Research Professor Michael J. Shaw, Co-Chair Assistant Professor Eric C. Larson Assistant Professor Ali Tafti, University of Illinois at Chicago ABSTRACT Cloud computing is widely recognized as a potential disruptive paradigm that changes how IT is consumed and business is conducted in various industries. Managerial and academic literature has shown that cloud computing may benefit firms in various ways such as cost savings, fast project development, and business innovation. Nevertheless, there are many different interpretations and perceptions of cloud computing about how to better prepare for and use it in the information systems (IS) literature. A systematic analysis is necessary to clarify the equivocal issues around cloud computing and guide managers to better understand and utilize cloud computing in practice. This dissertation addresses several important relationships around cloud computing using theoretical models and empirical data as a representation of how the questions about cloud computing may be investigated in the IS literature and how the findings may benefit organizations in using cloud computing. Therefore, the dissertation comprises three connected chapters that address one important antecedent of cloud computing adoption – internal IT modularity within firms and two important consequences – firm performance and strategic alliance formation. It is found that in order to better prepare for cloud computing adoption, firm users can do something themselves by modularizing their internal IT systems. Firms also need to know whether and how cloud computing, after all, can benefit their firm performance or other activities such as strategic alliance formation. The findings show that cloud computing overall and its various specific cloud services may promote firm performance directly or complementarily with internal enterprise resources. Cloud computing and its specific cloud services may also exert different effects on strategic alliance formation. This dissertation systematically addresses the issues around cloud computing in the IS literature and sheds lights ii on how such a study can be applied to help managers and decision makers in industries to better understand and use cloud computing to achieve their business goals. iii ACKNOWLEDGEMENTS I would like to sincerely thank my adviser Prof. Ramanath Subramanyam and former adviser Prof. Ali Tafti for their kindness and generosity on providing me with the secondary survey datasets based on which my three empirical studies about cloud computing are possible. I am very grateful for Prof. Ramanath Subramanyam’s insightful guidance on my doctoral study over the years not only in the dissertation but also in other aspects such as how to be a successful teacher and researcher. I owe the success of this dissertation to my former adviser Prof. Ali Tafti a lot. He was the very first person who led me to the direction of econometrics and empirical research in Information Systems. His encouragement and education are invaluable to me. When he was my adviser here at the University of Illinois at Urbana-Champaign, he gave me very detailed and precise guidance on my study. Even after he left here to be a faculty member at the University of Illinois at Chicago, he has been still extensively involved in my research. My heartfelt gratitude goes to Prof. Michael J. Shaw who suggested this interesting topic of cloud computing for my dissertation in the early days of my doctoral study. He gave me insightful suggestions on my early attempts of finding appropriate research questions and subsequent chapter developments. My genuine appreciation also goes to Prof. Eric C. Larson who gave me very careful and detailed suggestions on the dissertation chapters and the presentation slides. I would also like to express my gratefulness to other faculty and administrative members in the Department of Business Administration for their enthusiastic help on my study. Prof. Vishal iv Sachdev helped me on how to write an appropriate academic paper in my early development of the second chapter of this dissertation. Prof. Sung W. Kim gave me suggestions on how to be a competent instructor. Prof. Joseph T. Mahoney from the Strategy group pleasantly agreed to read and advise my early manuscript of the second chapter of this dissertation, and gave me very detailed and inspiring suggestions including the typos during his busy time of teaching and research. Prof. Huseyin Leblebici from Organizational Behavior also read the manuscript and gave me very suggestive strategies and tactics of how to get the idea into a real paper. As the Assistant Director of Graduate Programs, Ms. Diana K. Gonzalez cordially helped me with various issues related to my doctoral study. Finally, I would like to thank my parents for their love, sacrifice and trust. Without their support, all of this would not have been possible. v TABLE OF CONTENTS CHAPTER 1: GENERAL INTRODUCTION ............................................................................... 1 CHAPTER 2: THE EFFECT OF IT MODULARITY ON ADOPTION OF CLOUD COMPUTING ................................................................................................................................. 6 CHAPTER 3: THE IMPACT OF CLOUD COMPUTING ON FIRM PERFORMANCE ......... 67 CHAPTER 4: THE ROLE OF CLOUD COMPUTING IN STRATEGIC ALLIANCE FORMATION ............................................................................................................................. 143 CHAPTER 5: CONCLUSION ................................................................................................... 210 BIBLIOGRAPHY ....................................................................................................................... 219 APPENDIX A ............................................................................................................................. 232 APPENDIX B ............................................................................................................................. 244 APPENDIX C ............................................................................................................................. 255 vi CHAPTER 1: GENERAL INTRODUCTION In the past decade, cloud computing has gained its momentum in commercialization. Cloud computing is a novel information technology (IT) consumption model that synthesizes multiple preceding technologies such as networking, grid computing, distributed computing, virtualization, utility computing and service-oriented computing and allows users to provision, consume and dispose of IT resources (including raw resources, system and platform software, and applications) as they need (Armbrust et al. 2010; Marston et al. 2011; Zhang et al. 2010). In theory, organizations no longer need to plan and own their own IT resources. Rather, they simply subscribe to cloud providers and are billed for what IT resources they have consumed. Cloud computing offers organizations with abundant, affordable and easily accessible IT resources from third parties1, frees organizations from owning and managing IT resources and systems, and eventually enables organizations to focus on their core businesses and innovation (Brynjolfsson et al. 2010). It is widely observable that cloud computing has been successfully utilized by various firms in different industries. Small businesses have used third-party cloud computing resources such as from Amazon Web Services (AWS)2 to energize and pursue the projects they would have never been able to and compete with the incumbent tech giants on an equal footing IT resource basis. Large enterprises have also shown great interests in cloud computing and tried to use cloud applications and platforms even though they may have considerable internal IT resources (Marston et al. 2011). 1 Here we assume that cloud computing is provided mainly by third-party cloud vendors (i.e., public clouds), though it can also be provided and owned privately by consumer organizations (i.e., private clouds). See more details about public and private clouds in Mell, P., and Grance, T. 2010. "The NIST definition of cloud computing," Communications of the ACM (53:6), p 50. 2 See the Amazon Web Services website for more details: https://aws.amazon.com 1 Cloud computing is an umbrella paradigm that contains multiple types of services such as the three basic service layers of Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) (Mell and Grance 2010) and many other extended services such as Knowledge as a Service (KaaS) and Business Process as a Service (BPaaS). Given these many cloud services, organizations may perceive, interpret and utilize cloud computing in various ways. For example, while many startups and small companies appreciate the enablement and convenience of cloud computing, others may think that cloud computing is merely a cost-saving means for them and cannot provide any sustainable competitive advantage. Companies are also very concerned about the risks cloud computing can bring such as IT availability, security and
Load more

Recommended publications
  • Evaluation of Cloud Computing Services Based on NIST 800-145 ______
    NIST Special Publication 500-322 Evaluation of Cloud Computing Services Based on NIST SP 800-145 Eric Simmon NIST Cloud Computing Cloud Services Working Group NIST Cloud Computing Program Information Technology Laboratory This publication is available free of charge from: https://doi.org/10.6028/NIST.SP.500.322 NIST Special Publication 500-322 Evaluation of Cloud Computing Services Based on NIST SP 800-145 Eric Simmon NIST Cloud Computing Cloud Services Working Group NIST Cloud Computing Program Information Technology Laboratory This publication is available free of charge from: https://doi.org/10.6028/NIST.SP.500-322 February 2018 U.S. Department of Commerce Wilbur L. Ross, Jr., Secretary National Institute of Standards and Technology Walter Copan, NIST Director and Undersecretary of Commerce for Standards and Technology Certain commercial entities, equipment, or materials may be identified in this document in order to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose. National Institute of Standards and Technology Special Publication 500-322 Natl. Inst. Stand. Technol. Spec. Publ. 500-322, 27 pages (February 2018) CODEN: NSPUE2 This publication is available free of charge from: https://doi.org/10.6028/NIST.SP.500-322 NIST SP 500-322 Evaluation of Cloud Computing Services Based on NIST 800-145 ______________________________________________________________________________________________________ Reports on Computer Systems Technology The Information Technology Laboratory (ITL) at NIST promotes the U.S.
    [Show full text]
  • Emerging Issues & Challenges in Cloud Computing—A Hybrid
    Journal of Software Engineering and Applications, 2012, 5, 923-937 923 http://dx.doi.org/10.4236/jsea.2012.531107 Published Online November 2012 (http://www.SciRP.org/journal/jsea) Emerging Issues & Challenges in Cloud Computing— A Hybrid Approach Yaser Ghanam, Jennifer Ferreira, Frank Maurer Department of Computer Science, University of Calgary, Calgary, Canada. Email: [email protected] Received October 16th, 2012; revised November 17th, 2012; accepted November 26th, 2012 ABSTRACT As cloud computing continues to gain more momentum in the IT industry, more issues and challenges are being re- ported by academics and practitioners. In this paper, we aim to attain an understanding of the types of issues and chal- lenges that have been emerging over the past five years and identify gaps between the focus of the literature and what practitioners deem important. A systematic literature review as well as interviews with experts have been conducted to answer our research questions. Our findings suggest that researchers have been mainly focusing on issues related to security and privacy, infrastructure, and data management. Interoperability across different service providers has also been an active area of research. Despite the significant overlap between the topics being discussed in the literature and the issues raised by the practitioners, our findings show that some issues and challenges that practitioners consider im- portant are understudied such as software related issues, and challenges pertaining to learning fast-evolving technologies. Keywords: Cloud Computing; Issues; Challenges; Systematic Literature Review 1. Introduction RQ2. How has the interest in different types of issues and challenges evolved over the past five years? With unprecedented adoption in industry over the past RQ3.
    [Show full text]
  • CLOUD COMPUTING up - Coming Era in IT Punam Assistant Professor, Department of Computer Science, University College Miranpur, Patiala
    TRJ VOL. 2 ISSUE 6 NOV-DEC 2016 ISSN: 2454-7301 (PRINT) | ISSN: 2454-4930 (ONLINE) CLOUD COMPUTING UP - Coming Era in IT Punam Assistant Professor, Department of Computer Science, University College Miranpur, Patiala Abstract- The Cloud computing is a term which is a set of Remotely hosted: Services or data are hosted on remote technologies that allows computing applications and data to systems which mean someone else’s infrastructure. be visible as a set of services from a group of essential Omnipresent: Services or data are available from resources. The establishment of cloud computing comprises anywhere. of data centres (servers, storage, networking), the business Commodified: The result is a utility computing model applications and middleware, virtualization software and for which is equivalent to traditional that of traditional sure operating systems. The cloud computing infrastructure utilities, like gas and electricity. You pay for what you consists of services that are offered up and delivered would like. through data centres that can be accessed from anywhere in II. CLOUD COMPUTING ISSUES: the world. Cloud computing is very much beneficial for businesses now a days because of its valuable features. It is a) Privacy well suited for small organizations where there is budget or Privacy is the key issue that should be kept in mind while infrastructure limitation. The key idea behind this new adopting cloud computing. In cloud computing the private information sharing technology is virtualization which data of a company that was stored in its data centres moves reduces the need to install hardware on each and every into a public cloud which is open for everyone.
    [Show full text]
  • H-Kaas: a Knowledge-As-A-Service Architecture for E-Health
    Brazilian Journal of Biological Sciences, 2018, v. 5, No. 9, p. 3-12. ISSN 2358-2731 https://doi.org/10.21472/bjbs.050901 H-KaaS: A Knowledge-as-a-Service architecture for E-health Renan G. Barreto¹, Lucas Aversari¹, Cecília Neta A. P. Gomes² and Natasha C. Q. Lino¹ ¹Universidade Federal da Paraíba. Centro de Ciências Exatas e da Natureza. Programa de Pós-Graduação em Informática. Campus I. -PB. Brazil. (CEP 58051-900). ²Programa de Pós-Graduação em Modelos de Decisão e Saúde.João CentroPessoa de Ciências Exatas e da Natureza. Universidade Federal da Paraíba. Campus I. -PB. Brazil. (CEP 58051-900). João Pessoa Abstract. Due to the need to improve access to knowledge and the establishment of means for sharing and organizing data in Received the health area, this research proposes an architecture based on January 8, 2018 the paradigm of Knowledge-as-a-Service (KaaS). This can be used in the medical field and can offer centralized access to Accepted April 30, 2018 ontologies and other means of knowledge representation. In this paper, a detailed description of each part of the architecture and Released its implementation was made, highlighting its main features and April 30, 2018 interfaces. In addition, a communication protocol was specified and used between the knowledge consumer and the knowledge Full Text Article service provider. Thus, the development of this research contributed to the creation of a new architecture, called H-KaaS, which established itself as a platform capable of managing multiple data sources and knowledge models, centralizing access through an easily adaptable API. Keywords: Knowledge-as-a-service architecture; Health informatics; Knowledge representation.
    [Show full text]
  • Security of Cloud Computing in the Iot Era
    future internet Article Cyber-Storms Come from Clouds: Security of Cloud Computing in the IoT Era Michele De Donno 1 , Alberto Giaretta 2, Nicola Dragoni 1,2 and Antonio Bucchiarone 3,∗ and Manuel Mazzara 4,∗ 1 DTU Compute, Technical University of Denmark, 2800 Kongens Lyngby, Denmark; [email protected] (M.D.D.); [email protected] (N.D.) 2 Centre for Applied Autonomous Sensor Systems Orebro University, 701 82 Orebro, Sweden; [email protected] 3 Fondazione Bruno Kessler, Via Sommarive 18, 38123 Trento, Italy 4 Institute of Software Development and Engineering, Innopolis University, Universitetskaya St, 1, 420500 Innopolis, Russian Federation * Correspondence: [email protected] (A.B.); [email protected] (M.M.) Received: 28 January 2019; Accepted: 30 May 2019; Published: 4 June 2019 Abstract: The Internet of Things (IoT) is rapidly changing our society to a world where every “thing” is connected to the Internet, making computing pervasive like never before. This tsunami of connectivity and data collection relies more and more on the Cloud, where data analytics and intelligence actually reside. Cloud computing has indeed revolutionized the way computational resources and services can be used and accessed, implementing the concept of utility computing whose advantages are undeniable for every business. However, despite the benefits in terms of flexibility, economic savings, and support of new services, its widespread adoption is hindered by the security issues arising with its usage. From a security perspective, the technological revolution introduced by IoT and Cloud computing can represent a disaster, as each object might become inherently remotely hackable and, as a consequence, controllable by malicious actors.
    [Show full text]
  • Universidade Estadual Paulista “Júlio De Mesquita Filho”, Campus De São José Do Rio Preto
    Naylor Garcia Bachiega Algoritmo de Escalonamento de Instância de Máquina Virtual na Computação em Nuvem São José do Rio Preto 2014 Naylor Garcia Bachiega Algoritmo de Escalonamento de Instância de Máquina Virtual na Computação em Nuvem Dissertação apresentada como parte dos requisitos para obtenção do título de Mestre em Ciência da Computação, junto ao Programa de Pós-Graduação em Ciência da Computação, Área de Concentração - Sistemas de Computação, do Instituto de Biociências, Letras e Ciências Exatas da Universidade Estadual Paulista “Júlio de Mesquita Filho”, Campus de São José do Rio Preto. Orientador: Profª. Drª. Roberta Spolon São José do Rio Preto 2014 Bachiega, Naylor Garcia. Algoritmo de escalonamento de instância de máquina virtual na computação em nuvem / Naylor Garcia Bachiega. -- São José do Rio Preto, 2014 92 f. : il., gráfs., tabs. Orientador: Roberta Spolon Dissertação (mestrado) – Universidade Estadual Paulista “Júlio de Mesquita Filho”, Instituto de Biociências, Letras e Ciências Exatas 1. Computação. 2. Computação em nuvem. 3. Recursos de redes de computadores. 4. Algorítmos de computador. 5. Armazenamento de dados. I. Spolon, Roberta. II. Universidade Estadual Paulista "Júlio de Mesquita Filho". Instituto de Biociências, Letras e Ciências Exatas. III. Título. CDU – 681.3.025 Ficha catalográfica elaborada pela Biblioteca do IBILCE UNESP - Câmpus de São José do Rio Preto Naylor Garcia Bachiega Algoritmo de Escalonamento de Instância de Máquina Virtual na Computação em Nuvem Dissertação apresentada como parte dos requisitos para obtenção do título de Mestre em Ciência da Computação, junto ao Programa de Pós-Graduação em Ciência da Computação, Área de Concentração - Sistemas de Computação, do Instituto de Biociências, Letras e Ciências Exatas da Universidade Estadual Paulista “Júlio de Mesquita Filho”, Campus de São José do Rio Preto.
    [Show full text]
  • Customer Knowledge Management in the Cloud Ecosytem
    Communications of the IIMA Volume 16 Issue 2 Article 3 2018 Customer Knowledge Management In the Cloud Ecosytem Joseph O. Chan Roosevelt University, [email protected] Follow this and additional works at: https://scholarworks.lib.csusb.edu/ciima Part of the Management Information Systems Commons Recommended Citation Chan, Joseph O. (2018) "Customer Knowledge Management In the Cloud Ecosytem," Communications of the IIMA: Vol. 16 : Iss. 2 , Article 3. Available at: https://scholarworks.lib.csusb.edu/ciima/vol16/iss2/3 This Article is brought to you for free and open access by CSUSB ScholarWorks. It has been accepted for inclusion in Communications of the IIMA by an authorized editor of CSUSB ScholarWorks. For more information, please contact [email protected]. 1 Customer Knowledge Management in the Cloud Ecosystem INTRODUCTION The economic order of the twenty-first century is driven by knowledge based on the value of relationships (Galbreath, 2002) throughout the extended enterprise. Knowledge management (KM) and customer relationship management (CRM) have become cornerstones of value creation strategies in a market saturated with product offerings. CKM arises from synthesizing the knowledge management and customer relationship management processes, where customer knowledge is acquired through CRM operations and transformed into actionable knowledge insights through the KM process to enhance operations. Alongside the advances in KM and CRM is the emergence of such business technologies as Big Data and Cloud Computing. Big Data refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyse (McKinsey Global Institute, 2011), and is characterized by the datasets’ high volume, velocity, variety, veracity and value.
    [Show full text]
  • IT Infrastructure and Support Systems
    Chapter IT Infrastructure and 2 Support Systems Chapter 2 Link Library Learning Objectives Quick Look at Chapter 2 ³ Understand the types of information systems and how they Sprint Nextel’s Subscriber Data Management process data. System ᕢ Understand the types of information systems used to sup- port business operations and decision makers. 2.1 Data and Software Application Concepts ᕣ Describe how IT supports supply chains and business processes. 2.2 Types of Information Systems and Support ᕤ Understand the attributes, benefits, and risks of service- based and cloud computing infrastructures. 2.3 Supply Chain and Logistics Support 2.4 IT Infrastructures, Cloud Computing, and Services Business Case: Airbus Improves Productivity with RFID Nonprofit Case: Royal Shakespeare Company Leverages Patron Data to Improve Performance Analysis Using Spreadsheets: Managing Gasoline Costs Cases on Student Web Site 2.1 Mary Kay’s IT Systems 2.2 Predictive Analysis Can Help You Avoid Traffic Jams References Integrating IT ACC FIN MKT OM HRM IS 30 Chapter 2 LINK LIBRARY Blog on cloud computing infoworld.com/blogs/david-linthicum Planners Lab, for building a DSS plannerslab.com Supply Chain and Logistics Institute SCL.gatech.edu/ Salesforce.com cloud demos salesforce.com U.S. Defense Information Systems Agency disa.mil Supply Chain, Europe’s strategic supply chain management resource supplychainstandard.com QUICK LOOK at Chapter 2, IT Infrastructure and Support Systems This section introduces you to the business issues, challenges, Decision making and problem solving require data and IT solutions in Chapter 2. Topics and issues mentioned in and models for analysis; they are supported by decision the Quick Look are explained in the chapter.
    [Show full text]
  • Disaster Data Management in Cloud Environments
    Western University Scholarship@Western Electronic Thesis and Dissertation Repository 12-16-2013 12:00 AM Disaster Data Management in Cloud Environments Katarina Grolinger The University of Western Ontario Supervisor Miriam A.M. Capretz The University of Western Ontario Graduate Program in Electrical and Computer Engineering A thesis submitted in partial fulfillment of the equirr ements for the degree in Doctor of Philosophy © Katarina Grolinger 2013 Follow this and additional works at: https://ir.lib.uwo.ca/etd Part of the Databases and Information Systems Commons, and the Data Storage Systems Commons Recommended Citation Grolinger, Katarina, "Disaster Data Management in Cloud Environments" (2013). Electronic Thesis and Dissertation Repository. 1774. https://ir.lib.uwo.ca/etd/1774 This Dissertation/Thesis is brought to you for free and open access by Scholarship@Western. It has been accepted for inclusion in Electronic Thesis and Dissertation Repository by an authorized administrator of Scholarship@Western. For more information, please contact [email protected]. Disaster Data Management in Cloud Environments (Thesis format: Monograph) by Katarina Grolinger Graduate Program in Engineering Science Department of Electrical and Computer Engineering A thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy The School of Graduate and Postdoctoral Studies Western University London, Ontario, Canada © Katarina Grolinger 2013 Abstract Facilitating decision-making in a vital discipline such as disaster management requires information gathering, sharing, and integration on a global scale and across governments, industries, communities, and academia. A large quantity of immensely heterogeneous disaster-related data is available; however, current data management solutions offer few or no integration capabilities and limited potential for collaboration.
    [Show full text]
  • A Dynamic Cloud with Data Privacy Preservation
    A Dynamic Cloud with Data Privacy Preservation by Mehdi Bahrami A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Electrical Engineering and Computer Science in the Graduate Division of the University of California, Merced Committee in charge: Professor Mukesh Singhal, Chair Professor Florin Rusu Professor Dong Li 1Professor Hamid R. Arabnia 1(External Committee Member, University of Georgia) Fall 2016 A Dynamic Cloud with Data Privacy Preservation Copyright 2017 by Mehdi Bahrami The Dissertation of Mehdi Bahrami is approved, and it is acceptable in quality and form for publication on microfilm and electronically: Professor Mukesh Singhal ______________________________________________________________________________ Professor Dong Li ____________________________________________________________________________ Professor Florin Rusu ______________________________________________________________________________ Professor Hamid R. Arabnia (University of Georgia) ______________________________________________________________________________ ______________________________________________________________________________ Co-Chair (if applicable) Professor Mukesh Singhal ______________________________________________________________________________ Chair University of California, Merced 2016 i Abstract A Dynamic Cloud with Data Privacy Preservation by Mehdi Bahrami Doctor of Philosophy in Electrical Engineering and Computer Science University of California, Merced Professor Mukesh Singhal
    [Show full text]
  • Trustcloud: a Framework for Accountability and Trust in Cloud Computing
    TrustCloud: A Framework for Accountability and Trust in Cloud Computing Ryan K L Ko, Peter Jagadpramana, Miranda Mowbray, Siani Pearson, Markus Kirchberg, Qianhui Liang, Bu Sung Lee HP Laboratories HPL-2011-38 Keyword(s): trust in cloud computing, logging, auditability, accountability, data provenance, continuous auditing and monitoring, governance Abstract: The key barrier to widespread uptake of cloud computing is the lack of trust in clouds by potential customers. While preventive controls for security and privacy measures are actively being researched, there is still little focus on detective controls related to cloud accountability and auditability. The complexity resulting from the sheer amount of virtualization and data distribution carried out in current clouds has also revealed an urgent need for research in cloud accountability, as has the shift in focus of customer concerns from server health and utilization to the integrity and safety of end-users' data. This paper discusses key challenges in achieving a trusted cloud through the use of detective controls, and presents the TrustCloud framework, which addresses accountability in cloud computing via technical and policy-based approaches. External Posting Date: June 22, 2011 [Fulltext]. Approved for External Publication Internal Posting Date: March 21, 2011 [Fulltext] Additional Publication Information: To be published and presented at the 2nd IEEE Cloud Forum for Practitioners (IEEE ICFP 2011), Washington DC, USA, July 7-8, 2011. Copyright IEEE ICFP 2011. TrustCloud: A Framework
    [Show full text]
  • Security Issues Model on Cloud Computing: a Case of Malaysia
    (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 6, No. 8, 2015 Security Issues Model on Cloud Computing: A Case of Malaysia Komeil Raisian Jamaiah Yahaya Faculty of Information Science and Technology, the Faculty of Information Science and Technology, the National University of Malaysia 43600 UKM Bangi National University of Malaysia 43600 UKM Bangi Selangor, Malaysia Selangor, Malaysia Abstract—By developing the cloud computing, viewpoint of scenario, with nearly all the administrations that tried to make many people regarding the infrastructure architectures, software it as an entry. Followings are considered as the benefits of distribution and improvement model changed significantly. using cloud computing: i) decreasing the price of hardware and Cloud computing associates with the pioneering deployment related maintenance charges, ii) it is easily accessible all over architecture, which could be done through grid calculating, the world, and iii) it has flexible and the extremely automatic effectiveness calculating and autonomic calculating. The fast procedure, in that the clients are not usually worried about transition towards that, has increased the worries regarding a upgrading the software which is a daily manner [3]. Security critical issue for the effective transition of cloud computing. control events in cloud are identical to old IT settings. From the security viewpoint, several issues and problems were Regarding the multi-tenant features, service delivery and discussed regarding the cloud transfer. The goal of this study is deploy models of cloud computing usually associates with the to represent a general security viewpoint of cloud computing through signifying the security problems that must be focused previous IT settings, though, cloud computing might have and accomplished appropriately for identifying a better several risks and problems too [2].The most important goal of perspective about current world of cloud computing.
    [Show full text]