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Latest IEEE 2018 Cloud Computing Projects

Latest IEEE 2018 Cloud Computing Projects

Benefited from Latest IEEE 2018 Cloud Computing Projects, users can achieve an effective and economical approach for data sharing among group members in the cloud with the characters of low maintenance and little management cost. Meanwhile, we must provide security guarantees for the sharing data files since they are outsourced. Unfortunately, because of the frequent change of the membership, sharing data while providing privacy-preserving is still a challenging issue, especially for an untrusted cloud due to the collusion attack. Moreover, for existing schemes, the security of key distribution is based on the secure communication channel, however, to have such channel is a strong assumption and is difficult for practice. In this paper, we propose a secure data sharing scheme for dynamic members. Firstly, we propose a secure way for key distribution without any secure communication channels, and the users can securely obtain their private keys from group manager. Secondly, our scheme can achieve fine-grained access control, any user in the group can use the source in the cloud and revoked users cannot access the cloud again after they are revoked. Thirdly, we can protect the scheme from collusion attack, which means that revoked users cannot get the original data file even if they conspire with the untrusted cloud.   In our approach, by leveraging polynomial function, we can achieve a secure user revocation scheme. Finally, our scheme can achieve fine efficiency, which means previous users need not to update their private keys for the situation either a new user joins in the group or a user is revoked from the group.

The customer has received a powerful tool that fully supports their unique advertising services. Since the launch of the new portal, the company's customer base has rapidly grown and the system has been recently scaled up to support the client's overseas expansion plans.

Enterprise-level document migration and consolidation system DataArt helped a customer to introduce an enterprise-level document migration and consolidation system based on the Windows Azure platform to reduce migration costs for the users. 

DataArt's customer is a provider of solutions for document migration and consolidation between enterprise-level storage systems. Secure Anti-Collusion Data Sharing Scheme for Dynamic Groups in the Cloud Document storage migration and consolidation systems of this type operate using data amounts ranging from gigabytes to terabytes, and transferring the data and its processing can be very time-consuming. Normally, it is not recommended or even possible to stop the system while the migration is in progress. 

Since the intermediate data storage during the migration process may require significant infrastructure only while the migration is in progress, DataArt proposed a Windows Azure solution to reduce migration costs. The intermediate storage computing infrastructure is rented using Windows Azure BLOB Storage, and this infrastructure is paid for only when it is actually used.

The additional software infrastructure required for the migration and consolidation process consists of:

• A set of connectors that transfer data from a source system(s) to a cloud
• Those connectors that transfer the converted data from the cloud to a destination repository
• A data conversion application in the cloud storage
• In addition to being directly responsible for the circulation of documents between the systems, the connectors also synchronize the modified data. Application for previewing and quick access to Microsoft SharePoint-based documents DataArt helped minimize a customer's computing resources with the Windows Azure-based external service.

DataArt's customer is a provider of Microsoft SharePoint 2010-based solutions for storage and retrieval of enterprise-level documents. One of the requirements for the system's functionality was to allow for quick previewing of relevant pages in a located document without downloading the whole document from a server. This capability is especially important for accessing search results when the user needs to locate a document within a retrieved batch of documents, as it saves significant amounts of time. The Windows Azure-based external service and data storage can be used as one of the possible configurations of the system to minimize the customer's own computing resources. The purpose of the service is mass document processing, their conversion into a platform-independent preview format, and access to the processed documents' previews. The following Windows Azure features have been used during the project's development:

• BLOB storage
• Table storage
• Queues
• Workers
• Web roles
• Multi tenancy for data storage and processing
• On-demand scalability for both the processing units and the storage

Submit your RFP to find how you can enhance your products and services with the cloud computing technology.