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Resource demands prediction has become a promising tool to facilitate automatic scaling of resource management, which makes it feasible to reduce the cost and improve resource utilization in the cloud. Most current prediction methods of resource demands are based on a single model. However, the resource load patterns are usually diversity and variability in the cloud, it is hard to get the satisfactory...
With the increasing number of mobile applications and the popularity of cloud computing, the combination of these two techniques that named mobile cloud computing (MCC) attracts great attention in recent years. A promising public key encryption scheme, Attribute-Based Encryption (ABE), especially the Ciphertext Policy Attribute-Based Encryption (CP-ABE), has been used for realizing fine-grained access...
Offloading the computation-intensive task of mobileinteractive applications into cloudlets has become a popularway to reduce the response time in mobile cloud computingarea. In response to the rapid change of mobile environment, researchers have proposed online offloading decisions for variousapplications. However, the pruning method they used wouldperform poorly for the non-linear topology of applications...
We constructed a new secure searchable encryption scheme aided by a computationally powerful but untrusted cloud server. Our scheme allows a client to provide a single search token to the server, but still allows the server to search for that token's word over all the documents he can access that encrypted with different keys. We achieved the scheme using multikey fully homomorphic encryption (MFHE)...
Big data processing applications have been migrated into cloud gradually, due to the advantages of cloud computing. Hadoop Distributed File System (HDFS), is one of the fundamental support systems for big data processing on MapReduce-like frameworks, such as Hadoop and Spark. However, the default block allocation scheme of HDFS doesn't fit well in the cloud environments behaving in two aspects: data...
A cloud server with high performance/cost, performance/Watt, high-density and high scalability has attracted more attentions from academy and industry field. How to efficiently share and aggregate resources (e.g., computing, storage, I/O bandwidth) is the design focus of cloud server. This paper proposed a 2 D-torus cloud server architecture bas e d on SDC (S oft ware Defined Cluster), in which CPU...
Cloud computing offers unprecedented capacity to execute large-scale workflows in the “era of big data”. In 2014, a cost-minimization and deadline-constrained workflow scheduling (CMDCWS) model is firstly proposed by Rodriguez and Buyya, which is applicable for the business need of cloud computing that a workflow task should be finished by minimizing the execute cost within a deadline constraint....
In the big data era, duplicated copies of data may be generated by various smart devices. Although convergent encryption has been extensively adopted for secure deduplication, it is still very challenging to efficiently and reliably manage the convergent keys and support keyword search over encrypted data. This paper addresses this problem by presenting an efficient scheme for big data outsourcing...
Both improving the execution efficiency and reducing the execution cost are essential for scientific workflows in cloud environments. As many scientific workflow tasks become more data-intensive and computation-intensive, storing their outputs in cloud for reuse is a feasible way to achieve such objectives. Because data storage in cloud would increase the storage cost, though it might mean less computation...
Nowadays energy-awareness represents a big challenge for cloud computing infrastructures as the adoption of cloud computing become a certain fact and together with the increasing costs for energy, calls for energy-aware methods and techniques. The storage system represents an important factor for energy consumption in a data center. Thus this paper, in the context of cloud storage, reviews the methods...
Data analyzing and processing are important tasks in cloud computing. The MapReduce can provide a cost-effective, flexible, fault-tolerant and scalable distributed programming model over large clusters. However, how to implement join operation using MapReduce efficiently is an attractive point. Data skew problem has a strong impact on the performance of join operation. In this paper, we implement...
With the development of ubiquitous computing and Web of Things, increasing applications with context and sensor are provided to users. However, for these applications, the end-user can only use them passively. Without programming experience, the end-user hardly involves his knowledge and awareness into the logic of applications. In our opinion, the end-user in cloud computing environment has the ability...
In this paper a carrier grade distributed open cloud computing architecture is designed for telecom operators. Different from public cloud service providers, telecom operators combine their network capabilities and cloud infrastructure services together to provide inexpensive but high quality cloud services, with their deep understanding of and strong relationship with individual consumers and enterprise...
Cloud computing service provides elastic and infinite computing resources to meet users' QoS requirements such as deadline and service cost. However, some tasks may be delayed because of the long waiting time before their resources are available. So, how to supply dynamic resource scaling and task migration is an important question which determines users' Service-level agreement(SLA) whether can be...
Cloud computing, emerging as a new scheme, makes adjustment for the utilization of available resources by using certain service mode. As one of the wide application services in cloud computing, cloud storage provides data storage and business access externally. The remote mode of service provision will inevitably come up against security problems and furthermore these problems will bring in crisis...
High performance computing (HPC) is widely applied in the academia and business community. Users can share high-performance clusters through a specified interface. But this approach cannot supply users with their private HPC platform, leading to bad isolation between users and lack of control on the hardware and software environment. In this paper, we adopt cloud computing technology to establish...
The residential gateway plays a significant role in a Smart Home, which connects the home network and the public network. There are various gateway architectures for the Smart Home. With the development of Cloud Computing, it is hoped that Smart Home can merge into the Clouds to provide more services and get more information provided by the Clouds. In this paper, we propose residential gateway architecture...
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