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As cloud computing is widely used in various fields, more and more individuals and organizations are considering outsourcing data to the public cloud. However, the security of the cloud data has become the most prominent concern of many customers, especially those who possess a large volume of valuable and sensitive data. Although some technologies like Homomorphic Encryption were proposed to solve...
Cloud computing delegates the management of physical data to the third parties who cannot be trusted fully. This may result in security risks in integrity of outsourcing data, the cloud users are hard to convince that their data which is processed in cloud computational tasks is kept intact. Although identity-based signature has been proven useful within cloud security infrastructures by offering...
With the development of cloud computing and IoT, more and more data-intensive applications have come into being. It is very import to process the big data for these data-intensive applications. In this paper, we do some analysis about the basic concepts of big data and semantic++ computing. It includes the definition of big data, semantic computing and semantic++ computing. In this paper, we make...
Big data processing is one of the hot scientific issues in the current social development. MapReduce is an important foundation for big data processing. In this paper, we propose a semantic++ MapReduce. This study includes four parts. (1) Semantic++ extraction and management for big data. We will do research about the automatically extracting, labeling and management methods for big data's semantic++...
with the development of cloud computing technologies, big data processing is becoming more and more important. How to mine and analyze massive data is facing a very big challenge. In this paper, we proposed an efficient massive data mining and analysis framework Data Cloud on large clusters. The most important part of Data Cloud is the Rabbit. It is a kind of massive data mining and analysis processing...
Cloud computing provides users and companies a cost-efficient and flexible service. However, for a cloud computing client, one of most worrying problems is that IT infrastructure is under control of the cloud provider. To secure cloud users' computation, efficient remote attestation protocol is required. In this paper, by combining trusted computing and dynamic accumulators, we put forward an anonymous...
Nowadays, the data-intensive applications and IoT applications have gained a very big development in the cloud environment. All these applications need to process massive data. How to process these massive data effectively is becoming very important in the cloud environment. In this paper, we designed an efficient massive data processing model in the cloud. This model can be used to process all kinds...
In today' intensely competitive environment, traditional application systems such as ERP, lacks the autonomy and flexibility required by dynamic market. Given that, more and more companies are offering their software by Software as a Service (SaaS) application platform. Most SaaS platforms are implemented by traditional J2EE programming. This paper introduces a new well-designed SaaS application platform...
Cloud Storage is an important part of Cloud Computing, and it provides a way to achieve large scale storage architecture. And virtual storage is a strategy for Cloud Storage. A load balancing virtual storage strategy (LBVS) is proposed in this paper. The contribution of this strategy is that, it provides a large scale net data storage model and Storage as a Service model based on Cloud Storage. Three...
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