Towards the business–information technology alignment in cloud computing environment: anapproach based on collaboration points and agents

Li, Qing; Wang, Cheng; Wu, Jing; Zhang, Liangpei; Wang, Zeyuan

doi:10.1080/0951192x.2011.592994

Cited by 57 publications

(37 citation statements)

References 18 publications

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“…Cloud computing has become the most attractive field in industry and in research. The requirements for cloud computing have increased in recent days due to the utilization of the software and the hardware with less investment [1,2]. As the number of files stored in the cloud increases with requirements reaching exabytes, finding the data relevant to user's requirement in optimum time poses as the greatest challenge.…”

Section: Introductionmentioning

confidence: 99%

‘MaaS’: Fast Retrieval of Data in Cloud Using Metadata as a Service

Anitha

Mukherjee

2015

Arab J Sci Eng

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In cloud era as the data stored is enormous, efficient retrieval of data with reduced latency plays a major role. In cloud, owing to the size of the stored data and lack of locality information among the stored files, metadata is a suitable method of keeping track of the storage. This paper describes a novel framework for efficient retrieval of data from the cloud data servers using metadata with less amount of time. Performance of queries due to availability of files for query processing can be greatly improved by the efficient use of metadata and its analysis thereof. Hence this paper proposes a generic approach of using metadata in cloud, named 'MaaS-Metadata as a Service.' The proposed approach has exploited various methodologies in reducing the latency during data retrieval. This paper investigates the issues on creation of metadata, metadata management and analysis of metadata in a cloud environment for fast retrieval of data. Cloud bloom filter, a probabilistic data structure used for efficient retrieval of metadata is stored across various metadata servers dispersed geographically. We have implemented the model in a cloud environment, and the experimental results show that methodology used is efficient in increasing the throughput and also by handling large number of queries efficiently with reduced latency. The efficacy of the approach is tested through experimental studies using KDD Cup 2003 dataset. In the experimental results, proposed 'MaaS' has outperformed other existing methods.

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Section: Introductionmentioning

confidence: 99%

‘MaaS’: Fast Retrieval of Data in Cloud Using Metadata as a Service

Anitha

Mukherjee

2015

Arab J Sci Eng

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“…Vast data are being shared and coordinated effort with other CSE (Computational Science and Engineering) look into bunches is empowered. Coordinated effort winds up plainly less demanding with IMs (texting) and video conferencing, empowered through the cloud [20]. Archive sharing and altering of a similar record by a few people in the meantime (by means of Google Docs) and joint effort (through Skype, Google visit) is convincing for clients to embrace distributed computing.…”

Section: Sharing and Joint Effort:-mentioning

confidence: 99%

The Impact of Cloud Computing on It Service Provider.

Najmunisa¹,

Parween²

2017

IJAR

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In the previous 20 years, the idea of information technology benefit outsourcing (ITSO) has been "a seriously examined field inside IS look into". ITSO can be characterized as "the huge commitment by outside sellers in the physical or potentially HR related with the whole or particular segments of the IT framework in the client association Remarkable advantages of information technology benefit provisioning can incorporate cost reserve funds, upper hands, and adaptability et cetera. Using the business display thought as a centering point of convergence this examination set out to perceive how cloud figuring impacts ITSPs' business models. This exploration objective was proficient using an iterative multi-technique contextual investigation examine approach containing a couple of stages. To support the investigation's revelations, the researcher empowers more observational research on rising business models for cloud service course of action. This investigation investigated the impact of cloud figuring from the perspective of ITSPs business models. Introduction:-In the previous 20 years, the idea of information technology benefit outsourcing (ITSO) has been "a seriously examined field inside IS look into". ITSO can be characterized as "the huge commitment by outside sellers in the physical or potentially HR related with the whole or particular segments of the IT framework in the client association". Remarkable advantages of information technology benefit provisioning can incorporate cost reserve funds, upper hands, and adaptability et cetera. The most recent turbulent worldwide financial downturn in conjunction with the quick advancement of IT and the accessibility of shoddy computational assets is requiring that the IT divisions of numerous associations consider embracing expense and asset proficient technology stages. As opposed to receiving a cautious procedure and a securing everything, there is potential for associations, to gain by the imaginative abilities of developing technology stages with a specific end goal to accomplish an upper hand. A case of an early computerized technology is distributed computing. Distributed computing speaks to a principal change in how information technology is provisioned", in that it empowers "figuring offices, for example, stockpiling process power, organize foundation and applications to be conveyed as a metred benefit over the web, much the same as an utility". Various studies and reports have featured the developing pattern and fameof distributed computing technology.For instance, a report led by Forrester inquire about featured how the worldwide distributed computing business sector will develop from $58 billion out of 2013 to $191 billion out of 2020. At its most primitive, distributed computing is a favorable type of provisioning where hardware and programming processing assets are given by cloud suppliers "as-a-benefit" over a system from substantial scale data focuses. While it has been contended that

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“…The literature review reveals that many studies were and currently are being conducted on the use of cloud computing by large scale enterprises primarily on their perceptions about cost reduction, ease of use and convenience, reliability, sharing and collaboration and lastly but not the least, security and privacy [2], [9]. Large enterprises have quickly adopted this model of IT resources management [2] but among SMEs companies it is more and more often used solution [10], [3], [11].…”

mentioning

confidence: 99%

“…Large enterprises have quickly adopted this model of IT resources management [2] but among SMEs companies it is more and more often used solution [10], [3], [11]. The importance of cloud computing parameters on SMEs adoption in a large degree convergent with perspective of big companies e.g.…”

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confidence: 99%

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Identification of mental barriers in the implementation of cloud computing in the SMEs in Poland

Jelonek

Stępniak

Turek

et al. 2014

Annals of Computer Science and Information Systems

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Abstract-Cloud computing is an emerging new computing paradigm designed to deliver numerous computing services through networked media such as the Internet. This solution offers many possibilities that did not exist before for all enterprises but especially for small and medium sized companies, which very often cannot afford for huge investments in contemporary IT solutions. The aim of the paper is an attempt of barriers identification especially mental barriers of managers which hinder making decision concerning implementation of cloud computing in small and medium sized companies in Poland. In the paper the notion of cloud computing was presented as well as benefits in the aspects of: technical, financial, organizational ones and barriers of cloud computing adoption. Next the results of research conducted in Polish SMEs companies were presented. The research showed that the biggest mental barriers perceived by managers concern lack of trust, incomplete knowledge about cloud computing and not perceiving necessity of changes in currently used IT model.

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Towards the business–information technology alignment in cloud computing environment: anapproach based on collaboration points and agents

Cited by 57 publications

References 18 publications

‘MaaS’: Fast Retrieval of Data in Cloud Using Metadata as a Service

‘MaaS’: Fast Retrieval of Data in Cloud Using Metadata as a Service

The Impact of Cloud Computing on It Service Provider.

Identification of mental barriers in the implementation of cloud computing in the SMEs in Poland

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