Towards a fast and secure design for enterprise‐oriented cloud storage systems

Dong, Fang; Zhou, Pengcheng; Liu, Zijian; Shen, Dian; Xu, Zhuqing; Luo, Junzhou

doi:10.1002/cpe.4177

Cited by 25 publications

(16 citation statements)

References 24 publications

(35 reference statements)

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“…Supply chain entities require significant trust for relying on one single organisation or broker for storing their sensitive and valuable information (Abeyratne and Monfared 2016). Single point failure is another disadvantage of centralised information systems which leaves the whole system vulnerable to error, hacking, corruption, or attack (Dong et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Blockchain technology and its relationships to sustainable supply chain management

Saberi

Kouhizadeh

Sarkis

et al. 2018

International Journal of Production Research

2,345

1,638

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Globalisation of supply chains makes their management and control more difficult. Blockchain technology, as a distributed digital ledger technology which ensures transparency, traceability, and security, is showing promise for easing some global supply chain management problems. In this paper, blockchain technology and smart contracts are critically examined with potential application to supply chain management. Local and global government, community, and consumer pressures to meet sustainability goals prompt us to further investigate how blockchain can address and aid supply chain sustainability. Part of this critical examination is how blockchains, a potentially disruptive technology that is early in its evolution, can overcome many potential barriers. Four blockchain technology adoption barriers categories are introduced; inter-organisational, intraorganisational, technical, and external barriers. True blockchain-led transformation of business and supply chain is still in progress and in its early stages; we propose future research propositions and directions that can provide insights into overcoming barriers and adoption of blockchain technology for supply chain management.

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Section: Introductionmentioning

confidence: 99%

Blockchain technology and its relationships to sustainable supply chain management

Saberi

Kouhizadeh

Sarkis

et al. 2018

International Journal of Production Research

2,345

1,638

View full text Add to dashboard Cite

show abstract

“…Safety of the data is another issue: the majority of supply chains rely on centralised information systems such as enterprise resource planning. Centralised information systems like these leaves the entire system exposed to error, hacking or attack (Dong, Zhou, Liu, Shen, Xu and Luo, 2017 Blockchain -a distributed digital ledger technology -ensures traceability, transparency, and security; it is showing some potential promises in terms of easing some supply chain problems (Mendling, Weber, van der Aalst, Brocke, Cabanillas, Daniel and Dustdar, 2017).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Blockchain-driven customer order management

Martinez

Zhao²,

Blujdea³

et al. 2019

IJOPM

134

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Purpose The purpose of this paper is to investigate the effects of Blockchain on the customer order management process and operations. There is limited understanding of the use and benefits of Blockchain on supply chains, and less so at processes level. To date, there is no research on the effects of Blockchain in the customer order management process. Design/methodology/approach A twofold method is followed. First, a Blockchain is programmed and implemented in a large international firm. Second, a series of simulations are built based on three scenarios: current with no-Blockchain, 1-year and 5-year Blockchain use. Findings Blockchain improves the efficiency of the process: it reduces the number of operations, reduces the average time of orders in the system, reduces workload, shows traceability of orders and improves visibility to various supply chain participants. Research limitations/implications The research is based on a single in-depth case that has the scope to be tested in other contexts in future. Practical implications This is the first study that demonstrates with real data from an industrial firm the effects of Blockchain on the efficiency gains, reduction on the number of operations and human-processing savings. A detailed description of the Blockchain implementation is provided. Furthermore, this research shows a list of the resources and capabilities needed for building and maintaining a Blockchain in the context of supply chains. Originality/value This is the first study that demonstrates with real data from an industrial firm the effects of Blockchain on the efficiency gains, the reduction in the number of operations and human-processing savings. A detailed description of the Blockchain implementation is provided. This paper contributes to the resource-based view of the firm, by demonstrating two new competitive valuable capabilities and a new dynamic capability that organisations develop when implementing and using Blockchain in a supply–demand process. It also contributes to the information processing theory by highlighting the analytics capabilities required to sustain Blockchain-related operations.

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“…For simplicity, we create one manual and one automated training set. We obtain the training set automatically using the multi‐level counting bloom filter (MlCBF) algorithm discussed in a previous paper of ours. The multi‐level counting bloom filter (MlCBF) contains some vectors which can search data rapidly, similar as the design shown in Figure , while all the vectors just need not too much space to store.…”

Section: The Devices Grouping and Data Location Algorithmmentioning

confidence: 99%

A decision‐making solution for cloud storage system

Gao

Jin

et al. 2018

Concurrency and Computation

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Enterprise IT departments must decide whether to build a private cloud themselves or lease space in a cloud instead. Actually, most enterprise cloud systems are heterogeneous simultaneously consisting partly of private cloud and partly of public cloud. An enterprise needs to know the optimal mixing ratio to achieve the lowest cost. However, the optimal ratio is a dynamic value because the popularity of data changes constantly and the data increases rapidly. In this paper, we formulate maximizing the net present value (NPV) of the investment revenue as a dynamic decision-making problem and propose a model to simplify the decision-making problem. We use the K-means algorithm to cluster the devices into groups. In addition, we also provide a solution with the kNN algorithm for locating data. Furthermore, our system provides a cost-saving solution that requires no additional devices or investment. Subsequently, as the system grows larger, the decision-making solution can be employed again to determine how to best extend the cloud system at the lowest cost. KEYWORDScloud storage, decision-making, net present value INTRODUCTIONIn recent years, with the development of the cloud technology, the enterprises are interested in high I/O capabilities, huge storage and processing capacities, built-in fault-tolerance, and any cost savings that using a cloud system might offer. Traditional systems such as SAN and NAS provide good solutions. However, it is too expensive when capacity and throughput needs increase rapidly. There is no doubt that cloud storage systems can be both economical and efficient. Some enterprises construct their own private clouds, while others lease capacity directly from public clouds. Both public and private clouds can meet enterprise needs because of their scalability, flexibility, and potentially low costs. However, the costs between public and private clouds can differ significantly. This cost difference can confuse enterprises: most tend to lease public services because rental costs appear to be lower than the costs of constructing a private cloud. However, cloud rental is not as inexpensive as it sometimes appears. In fact, in some cases, leasing can be much more expensive than purchasing. For enterprises, choosing between public and private clouds is a tough problem.Moreover, it is even more difficult to design a mixed system that is cost effective.Modern hard disk drives have been greatly improved. The capacity and throughput of hard disks has increased steadily, even as their prices have fallen. In particular, the SSD technology has improved dramatically. Compared with a traditional hard disk drive (HDD), an SSD has low latency, low energy consumption, high throughput, and many other advantages. Although SSD prices have fallen, SSDs are still more expensive than HDDs.Still, as one of the main features of cloud computing technology, we can now use inexpensive domestic devices rather than expensive commercial devices, which can save money. A traditional cloud storage system typically uses huge num...

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Towards a fast and secure design for enterprise‐oriented cloud storage systems

Cited by 25 publications

References 24 publications

Blockchain technology and its relationships to sustainable supply chain management

Blockchain technology and its relationships to sustainable supply chain management

Blockchain-driven customer order management

A decision‐making solution for cloud storage system

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