A secure cost‐effective migration of enterprise applications to the cloud

Huang, Daochao; Li, Yi; Song, Fei; Yang, Dong; Zhang, Hongke

doi:10.1002/dac.2594

Cited by 13 publications

(9 citation statements)

References 21 publications

(36 reference statements)

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“…Some research works try to list complete and exhaustive constraints [13]. S. Strauch [14] describes decisions and tasks an enterprise should make when mak-ing migration strategy in general.…”

Section: Related Workmentioning

confidence: 99%

A Generic Method of Migrating Enterprise Components Partially to the Cloud

Jiang

Haihong

Song

et al. 2014

Pervasive Computing and the Networked World

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Abstract. Hybrid migration of enterprise system is to move some components to the cloud, and leave others on premise based on their security or performance requirements. To make hybrid migration strategy, one challenge is how to choose constraints and use them to help determine which components to migrate, and which cloud to use. Existing methods, however, either limit to calculate the quantifiable constraints to generate several alternatives or just list all constraints without stating how to analyze and use them to filter alternatives. In this paper, we extend existing method to a two-phase process: 1) use quantifiable constraints to generate several alternatives; 2) use AHP (Analytic Hierarchy Process) to automate the best solution selection process based on the hierarchical unquantifiable constraints. Analysis shows that our method takes advantage of the accuracy of the quantifiable parameters as well as analysts' subjective judgment of the importance of the unquantifiable constraints, so that generates a more precise solution meeting enterprise's subjective requirements.

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Section: Related Workmentioning

confidence: 99%

A Generic Method of Migrating Enterprise Components Partially to the Cloud

Jiang

Haihong

Song

et al. 2014

Pervasive Computing and the Networked World

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show abstract

“…In the same year, Aleem and Sprott and Lenart portrayed cloud computing as one of the most useful technologies for sharing and integrating information in any organization. Challenges for the adoption of different technologies have been discussed in various literature authored by Rimal et al, Hsu et al, Huang et al, Zhang et al, and Misra et al…”

Section: Background and Motivationmentioning

confidence: 99%

“…In the same year, Aleem and Sprott 18 and Lenart 19 portrayed cloud computing as one of the most useful technologies for sharing and integrating information in any organization. Challenges for the adoption of different technologies have been discussed in various literature authored by Rimal et al, 16 Hsu et al, 4 Huang et al, 13 Zhang et al, 20 and Misra et al 21 With the development of ICs, small chip size increases the complexity of logic circuit. The bottleneck in IC design is its strong dependency on requirement of the state of art equipment, especially for small and medium-sized industries that do not have the ability to have strong servers or hardware acceleration simulation.…”

Section: Background and Motivationmentioning

confidence: 99%

Identifying critical challenges in the adoption of cloud‐based services

Rahi

Bisui

Misra

2017

Int J Communication

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Summary Cloud computing provides a way to integrate and share information on a real‐time basis across an organization. The current organizations are adopting the cloud services to gain competitive advantage in real‐time data sharing. To meet the current demand in semiconductor industries, they must develop better techniques to produce electronic products at low cost and in a large scale. Adoption of cloud‐based services may resolve the fastest growing demand of technical advancement of semiconductor industries. The research presented in this paper is based on an analysis of the data obtained from the semiconductor sector. This study identifies the critical challenges associated with the cloud service adoption in semiconductor industries. Twelve critical challenges have been identified that need to be overcome for adopting the cloud services for any semiconductor industry. These are network/Internet availability, data security, integration of various services, monitoring of data and services, maintenance of computing performance, liability, power outage, service interruption, organizational change, business complexity, legal issues, and lack of awareness.

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“…Cloud computing is becoming more and more popular as an easily usable alternative service deployment platform [1]. Rapid increase in demands for cloud services has forced major cloud service providers such as IBM, Amazon, Google, etc.…”

Section: Introductionmentioning

confidence: 99%

“…">INTRODUCTIONCloud computing is becoming more and more popular as an easily usable alternative service deployment platform [1]. Most research papers for cloud resource management concentrate on how to reduce host energy consumption and SLA violation (SLAV) to minimize operational cost.…”

mentioning

confidence: 99%

Penalty‐aware and cost‐efficient resource management in cloud data centers

Rahmanian

Dastghaibyfard

Tahayori

2016

Int J Communication

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Today, data centers are the main source of providing cloud services through a service level agreement (SLA). Most research papers for cloud resource management concentrate on how to reduce host energy consumption and SLA violation (SLAV) to minimize operational cost. However, they do not consider the amount of penalty that cloud provider should pay to users because of SLAV. In this paper, we propose a new penalty-aware and cost-efficient method that considers cloud resource management as a cost problem. In this method parameters such as user budget, penalty, and host energy consumption cost play an important role in minimizing operational cost which leads to higher profit for cloud provider. The simulation results with CloudSim show that our proposed method minimizes operational cost compared to the prior resource managements. INTRODUCTIONCloud computing is becoming more and more popular as an easily usable alternative service deployment platform [1]. Rapid increase in demands for cloud services has forced major cloud service providers such as IBM, Amazon, Google, etc. to build more and more data centers. Large data centers, as the main source of providing cloud services, are composed of hundreds of computational hosts, tens of high speed switches and other network devices that consume a significant amount of energy. Hardware infrastructures such as servers, storage devices and network elements consume significant amount of energy when either they are idle or not fully utilized [2]. Hence, data center energy efficiency can be effective in decreasing operational costs. As operational costs decrease, cloud service provider profit increases. Moreover, because higher energy consumption causes more carbon dioxide (CO 2 ) emission [3], efficient energy consumption policies are expected to help reducing CO 2 emission. Hence, an energy efficient resource management is a must.Various effective methods are proposed for reducing the power consumption of devices in data centers, for example server consolidation using virtualization [4,5]. Virtualization technology provides a facility to run several isolated applications by creating a virtual machine (VM) for each application on a host. This leads to increase in host utilization and recently all data centers are using virtualization for providing cloud services [2]. More precisely, virtualization technology (e.g. Xen

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A secure cost‐effective migration of enterprise applications to the cloud

Cited by 13 publications

References 21 publications

A Generic Method of Migrating Enterprise Components Partially to the Cloud

A Generic Method of Migrating Enterprise Components Partially to the Cloud

Identifying critical challenges in the adoption of cloud‐based services

Penalty‐aware and cost‐efficient resource management in cloud data centers

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