A Novel Approach to Address Interoperability Concern in Cloud Computing

Arunkumar, G.; Neelanarayanan, V.

doi:10.1016/j.procs.2015.04.083

Cited by 31 publications

(17 citation statements)

References 2 publications

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“…A number of research groups doing research in the field of fog and cloud computing and has the results in terms of practical application [15][16][17]. For example, at the University of Southampton (United States) to the project FloodNet intelligent sensor network, providing flood forecasting and warning c WiseNet using cloud computing platform are developed.…”

Section: The Problems Of Intellectual Big Sensor Data Processingmentioning

confidence: 99%

The convergence computing model for big sensor data mining and knowledge discovery

Finogeev

Parygin

2017

Hum. Cent. Comput. Inf. Sci.

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The article considers the model and method of converged computing and storage to create SCADA systems based on wireless networks for the energy industry. Computing power of modern wireless sensor network nodes allow the transfer to them some operations sensor data mining and offload the dispatching data centre servers. This fog computing model is used for the aggregation of primary data, forecast trends controlled variables as well as to warn about abnormal and emergency situations on distributed SCADA systems objects. Large arrays of sensor data, integral indicators and heterogeneous information from other sources (e.g., weather stations, security and fire alarm systems, video surveillance systems, etc.) is more appropriate to process via GRID computing model. GRID computing model has three-tier architecture, which includes the main server at the first level, a cluster of servers at the second level, and a lot of GPU video card with support for Compute Unified Device Architecture at the third level. The model of cloud computing and cloud storage today is the basis for the accumulation of the results of data mining and knowledge discovery. Means of communication and remote access can solve the problem of intellectual processing and visualization of information with elements of augmented reality and geo-information technologies within the framework of mobile computing model. The implementation of these four computing models for the operation of components of SCADA system is the convergent approach to distributed sensor data processing, which is discussed in the article.

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Section: The Problems Of Intellectual Big Sensor Data Processingmentioning

confidence: 99%

The convergence computing model for big sensor data mining and knowledge discovery

Finogeev

Parygin

2017

Hum. Cent. Comput. Inf. Sci.

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“…G et al [4] outlined the manifest cloud technologies, interoperability issues and possible solution to overcome the problems. Outwit of the following are analyzing the appropriateness of cloud to employ themselves for their enterprise or personalized operations.…”

Section: A I Awad Et Al [3]mentioning

confidence: 99%

A Study for VM Placement Schemes in Cloud

Kaur

2017

IJARCSSE

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Abstract-The cloud computing can be essentially expressed as aconveyance of computing condition where distinctive assets are conveyed as a support of the client or different occupants over the web. The task scheduling basically concentrates on improving the productive use of assets and henceforth decrease in task fruition time. Task scheduling is utilized to allot certain tasks to specific assets at a specific time occurrence. A wide range of systems has been exhibited to take care of the issues of scheduling of various tasks. Task scheduling enhances the productive use of asset and yields less reaction time with the goal that the execution of submitted tasks happens inside a conceivable least time. This paper talks about the investigation of need, length and due date based task scheduling calculations utilized as a part of cloud computing.

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“…Based on their business escalation it needs further adoption of modern cloud services if the existing cloud provider fails to offer. Hence the users need interoperability and portability to ship their assets from one cloud to another one [24]. Finally, all four forms of cloud computing can provide computing -on demand‖ at one or more of four levels.…”

Section: Cloud Service Models In Cloud Computingmentioning

confidence: 99%

“…In cloud computing technology there is a set of important policy issues, which include issues of privacy, security, anonymity, telecommunications capacity, government surveillance, reliability, and liability, among others [70]. Further, the primary choice of private cloud is due to its security and in-house management [24]. Security problem is considered as one of the greatest challenges in providing cloud computing service.…”

Section: Cloud Security Models: Security and Cloud Db Managementmentioning

confidence: 99%

A New Conceptual Framework Modelling for Cloud Computing Risk Management in Banking Organizations

Elzamly¹,

Hussin²,

Naser³

et al. 2016

IJGDC

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Despite much research and progress in the areas of cloud computing project, many cloud computing projects have a very high failure rate when it comes to the banking organizations. The aim of this study is to propose a new conceptual framework modelling for cloud computing risk management in banking organizations. There are the main five stages for a successful cloud computing framework in a banking organization as described in Figure 1: Cloud mobility and cloud banking applications, cloud service models, cloud deployment models, cloud risk management models, and cloud security models. As a future work, we will apply the framework in the real banking world to mitigate and control the security issues. A successful framework modelling for cloud computing risk management will greatly improve the probability of cloud computing success in banking organizations.

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A Novel Approach to Address Interoperability Concern in Cloud Computing

Cited by 31 publications

References 2 publications

The convergence computing model for big sensor data mining and knowledge discovery

The convergence computing model for big sensor data mining and knowledge discovery

A Study for VM Placement Schemes in Cloud

A New Conceptual Framework Modelling for Cloud Computing Risk Management in Banking Organizations

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