Implementation of a Cloud Computing Environment for Hiding Huge Amounts of Data

Yang, Chao-Tung; Shih, Wen-Chung; Chen, Guan-Han; Yu, Shih-Chi

doi:10.1109/ispa.2010.96

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…Payments are only paid during the hours that the service is being used. As the service provider makes them online available for you to use, you can easily verify the bill's cost [23]. It is also cost-effective aside from using cloud infrastructure to help minimize global waste.…”

Section: Cloud Computing Advantagesmentioning

confidence: 99%

Implementing Frame Work of Cloud Computing in Pharmaceuticals Industries of Pakistan

Kamran¹,

Haidery

Hussain³

et al. 2023

E3S Web Conf.

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Cloud computing is providing cheaper, cost effective efficient automation, data management services to the organizations and this trend is gradually increasing. Using cloud based services can eliminate cost and complexity of managing the underlying application. It allows users to access and use the most sophisticated technologies without being required to pay enormous amounts of money to purchase the system or to develop it in-house. This study aimed to investigate cloud computing advantages and disadvantages, its services and implementation stages in pharmaceutical industry of Pakistan. Cloud computing practices included Cost Saving, Security & Privacy, Automation, Data Integrity, and Regulatory compliance. An Adopted survey was planned and circulated over an example of 400 workers. Research hypotheses were evaluated using structured equation modelling. The outcome shows that cost savings, security and privacy, competitive pressure, automation and awareness have a positive and fundamental effect on pharmaceutical operations. Strangely, there is a negative effect of external support on cloud computing. The effects are noticeable in the pharmaceutical industry.

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Section: Cloud Computing Advantagesmentioning

confidence: 99%

Implementing Frame Work of Cloud Computing in Pharmaceuticals Industries of Pakistan

Kamran¹,

Haidery

Hussain³

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…HDFS has many similarities with other distributed file systems, but is different in several respects. One noticeable difference is HDFS's write-once-read-many model that relaxes concurrency control requirements, simplifies data coherency, and enables high-throughput access [2], [10]- [12].…”

Section: B Hdfsmentioning

confidence: 99%

Implementation of a Software-Defined Storage Service with Heterogeneous Storage Technologies

Yang

Lien

Shen

et al. 2015

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops

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SDS becomes more and more popular, and several companies have announced their product. But the generic standard still has not appeared; most products are only appropriate for their devices and SDS just can integrate a few storages. In this thesis, we will use the OpenStack to build and manage the cloud service, and use software to integrate storage resources include Hadoop HDFS, Ceph and Swift on OpenStack to achieve the concept of SDS. The software used can integrate different storage devices to provide an integrated storage array and build a virtual storage pool; so that users do not feel restrained by the storage devices. Our software platform also provides a web interface for managers to arrange the storage space, administrate users and security settings. For allocation of the storage resources, we make a policy and assign the specific storage array to the machine that acquires the resource according to the policy.

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“…At present, cloud storage has become a popular service, especially for images, which need large storage space [18]. In the cloud scenario, RDH is an important method for cloud servers to manage outsourced images [19,20]. However, some cloud servers cannot be trusted, and storing images on the cloud may lead to privacy leakage [21].…”

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding in Encrypted Images Using Median Edge Detector and Two’s Complement

Wang

et al. 2021

Symmetry

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With the rapid development of cloud storage, an increasing number of users store their images in the cloud. These images contain many business secrets or personal information, such as engineering design drawings and commercial contracts. Thus, users encrypt images before they are uploaded. However, cloud servers have to hide secret data in encrypted images to enable the retrieval and verification of massive encrypted images. To ensure that both the secret data and the original images can be extracted and recovered losslessly, researchers have proposed a method that is known as reversible data hiding in encrypted images (RDHEI). In this paper, a new RDHEI method using median edge detector (MED) and two’s complement is proposed. The MED prediction method is used to generate the predicted values of the original pixels and calculate the prediction errors. The adaptive-length two’s complement is used to encode the most prediction errors. To reserve room, the two’s complement is labeled in the pixels. To record the unlabeled pixels, a label map is generated and embedded into the image. After the image has been encrypted, it can be embedded with the data. The experimental results indicate that the proposed method can reach an average embedding rate of 2.58 bpp, 3.04 bpp, and 2.94 bpp on the three datasets, i.e., UCID, BOSSbase, BOWS-2, which outperforms the previous work.

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Implementation of a Cloud Computing Environment for Hiding Huge Amounts of Data

Cited by 5 publications

References 7 publications

Implementing Frame Work of Cloud Computing in Pharmaceuticals Industries of Pakistan

Implementing Frame Work of Cloud Computing in Pharmaceuticals Industries of Pakistan

Implementation of a Software-Defined Storage Service with Heterogeneous Storage Technologies

Reversible Data Hiding in Encrypted Images Using Median Edge Detector and Two’s Complement

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