Cloud computing for network business ecosystem

Gagliardi, Roberto; Marcantoni, Fausto; Polzonetti, Alberto; Re, Barbara; Tapanelli, Pietro

doi:10.1109/ieem.2010.5674204

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…[ Gagliardi et al 2010] Opportunity for support managers, engineers, sales and marketing staff to develop new skills; working with new and potentially prestigious technology, which may lead to career progression and increased job satisfaction.…”

Section: Pest Analysismentioning

confidence: 99%

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Implementation of Cloud Computing for SMEs

Javaid¹

2014

wjcat

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Section: Pest Analysismentioning

confidence: 99%

“…[ Gagliardi et al 2010;Tumer 2010;Williams 2009] The launch requires minimal effort due to the easy migration of code to the new environment.…”

Section: Pest Analysismentioning

confidence: 99%

Implementation of Cloud Computing for SMEs

Javaid¹

2014

wjcat

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“…Today, with the availability of higher network bandwidths, cloud computing seems to be the fastest emerging technology in the IT industry [5]. In addition to several private clouds, companies such as Google, Microsoft, and Amazon offer these services to the public at low cost.…”

mentioning

confidence: 99%

Employing Bloom Filters for Enforcing Integrity of Outsourced Databases in Cloud Environments

Aditya

Baruah

Mukkamala

2011

Advances in Computing and Communications

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Abstract.With the ever increasing growth of cloud computing and the resulting outsourcing of data, concerns of data integrity, security, and privacy are also on the rise. Among these, evidence of data integrity, i.e., being tamper-evident and current, seem to be of immediate concern. While several integrity techniques currently exist, most result in significant overhead at the database owner site. For clients with large databases, these are not viable solutions. In this paper, we propose a computationally efficient alternative-database integrity with Bloom filters. We focus both on the tamper-evidence and freshness properties of the database as well as completeness of query results. We propose two schemes for integrity enforcement-first using aggregates signatures and second using authenticated data structures. We provide detailed analysis and experimental results to prove their efficiency and correctness. The results are compared with the traditional security hash functions such as SHA-1 and are shown to be computationally efficient. We have also implemented the schemes on multiprocessor systems which show further reduction in the execution time. Our results clearly demonstrate the feasibility and efficacy of employing Bloom filters to enforce integrity for outsourced databases in cloud environments.

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