Cloud computing: a collaborative green platform for the knowledge society
Author:
A. Mohamed Mona,Pillutla Sharma
Abstract
Purpose
– The main aim of this paper is to investigate the potential of Cloud Computing as a multilayer integrative collaboration space for knowledge acquisition, nurturing and sharing. The paper will pinpoint benefits and challenges of Cloud Computing in satisfying the new techno-sociological requirements of the knowledge society through the provision of information technology (IT) green services. Furthermore, the article calls for the engagement of researchers to generate additional discussion and dialog in this emerging and challenging area.
Design/methodology/approach
– The paper applies a conceptual analysis to explore the utilization of the Cloud ecosystem as a new platform for knowledge management (KM) technologies characterized by environmental and economic benefits.
Findings
– This paper reveals the emergence of a new layer in the Cloud stack known as Knowledge Management-as-a-Service. The article discusses how KM has the opportunity to evolve in synergy with Cloud Computing technologies using the modified Metcalfe’s law, while simultaneously pursuing other benefits. This research reveals that if Cloud Computing is successfully deployed, it will contribute to the efficient use of the under-utilized computing resources and enable a low carbon economy. However, challenges such as security, information overload and legal issues must be addressed by researchers before Cloud Computing becomes the de facto KM platform.
Originality/value
– While the technical, legal and environmental complications of Cloud Computing have received the attention warranted, the KM concepts and implementation facets within the realm of the knowledge society have not yet received adequate consideration. This paper provides enterprise KM architects, planners, chief information officers (CIOs) and chief knowledge officers (CKOs) with a comprehensive review of the critical issues, many of which are often overlooked or treated in a fragmented manner within the Cloud environment.
Subject
Library and Information Sciences,Computer Science Applications
Reference75 articles.
1. Al-Masud, S.M.R.
(2012), “Extended and granular classification of cloud’s taxonomy and services”, International Journal of Soft Computing and Engineering (IJSCE), Vol. 2 No. 2, pp. 278-286. 2. Aymerich, M.
,
Fenu, G.
and
Surcis, S.
(2008), “An approach to a cloud computing network”, in ICADIWT 2008, First International Conference on the Application of Digital Information and Web Technologies, IEEE, Cagliari, pp. 113-118. 3. Baliga, J.
,
Ayre, R.W.A.
,
Hinton, K.
and
Tucker, R.S.
(2011), “Green cloud computing: balancing energy in processing, storage, and transport”, paper Proceedings of the IEEE, Vol. 99 No. 1, pp. 149-167. 4. Banerjee, P.
,
Bash, C.
,
Friedrich, R.
,
Goldsack, P.
,
Huberman, B.A.
,
Manley, J.
,
Patel, C.
,
Ranganathan, P.
and
Veitch, A.
(2011), “Everything as a service: powering the new information economy”, Computer, Vol. 44 No. 3, pp. 36-43. 5. Baqir, M.N.
and
Kathawala, Y.
(2004), “Ba for knowledge cities: a futuristic technology model”, Journal of Knowledge Management, Vol. 8 No. 5, pp. 83-95.
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