Performance analysis of bidirectional cloud networks with imperfect channel state information

Li, Jing; Wu, Mingying; Ge, Jianhua; Zhang, Chensi; Pop, Florin; Wang, Yingguan

doi:10.1002/cpe.3406

Cited by 3 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To theoretically study this issue, here the navigation process of launching messages toward designated targets is investigated on a variant of the one‐dimensional small‐world network (SWN) . Recently, some researchers have explored the spatial patterns of close relationships across the lifespan , cultural history network , secure and efficient data‐sharing in clouds .…”

Section: Related Workmentioning

confidence: 99%

A model for estimating the out‐degree of nodes in associated semantic network from semantic feature view

Zhang

Wang

Liu

et al. 2016

Concurrency and Computation

View full text Add to dashboard Cite

SUMMARYAssociation Link Network (ALN) can organize massive news data to support many intelligent Web applications. The degree estimating of nodes in ALN, including out-degree and in-degree, is an important and significant research. It can provide effective support for some applications such as the control of network structure, the rapid positioning of Web resources in ALN. This paper proposes a model for estimating the out-degree of any one node in ALN from semantic feature view, which can greatly reduce the searching scope for the rapid positioning of Web resources stored in large-scale database. First, we explore the main factors of forming the out-degree of any one node from semantic feature view by qualitative analysis. Then, based on the result of qualitative analysis, we propose the model for estimating the out-degree of any one node in ALN, including the model framework, the first estimating theory and its further optimization method. Experimental results show that the proposed estimating model as well as the optimization method have a high precision.

show abstract

Section: Related Workmentioning

confidence: 99%

A model for estimating the out‐degree of nodes in associated semantic network from semantic feature view

Zhang

Wang

Liu

et al. 2016

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…The tight asymptotic expressions for individual and system outage probabilities are presented in closed form through investigating the performance of time division broadcast (TDBC) protocol in bidirectional cloud networks in the presence of channel estimation errors (CEEs) [41,42]. To obtain the tighter lower and upper bounds of critical density and make percolation theory more apt to 3D WSNs, we propose a bond-percolation-based scheme that maps the exposure-path prevention problem into a bond-percolation model in a 3D WSN.…”

Section: Related Workmentioning

confidence: 99%

Critical Density for Exposure-Path Prevention in Three-Dimensional Wireless Sensor Networks Using Percolation Theory

Kang

Liu

Zhang

et al. 2015

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

To derive the critical density for exposure-path prevention in three-dimensional wireless sensor networks (3D WSNs), a bondpercolation-based scheme is proposed, which can generate the tighter lower and upper bounds of critical density. Firstly, the exposure-path prevention problem and system models based on Gaussian distribution are introduced in this paper. Then, according to percolation theory, we present a bond-percolation model to put this problem into a 3D uniform lattice. With this model, the lower and upper bounds of critical density for 3D WSNs are derived in the light of our scheme. Extensive simulations and contrast experiments also validate our developed models and evaluate the performance of the proposed schemes. Therefore, our scheme can be applied to determine a practically reliable density and detect intruders in sensor networks.

show abstract

“…In the eighth paper , the authors investigate the performance of time division broadcast (TDBC) protocol in bidirectional cloud networks in the presence of channel estimation errors (CEEs). The tight asymptotic expressions for individual and system outage probabilities are presented in closed form.…”

mentioning

confidence: 99%

Advances on cloud services and cloud computing

Barolli

Chen

Xhafa

2014

Concurrency and Computation

View full text Add to dashboard Cite

EDITORIALAdvances on cloud services and cloud computing As cloud computing becomes prevalent, many organizations outsource the expensive computing and storage into the cloud servers. This brings many benefits including relief of the burden for storage management, universal data access with independent geographical locations, and avoidance of capital expenditure on hardware, software, and personnel maintenances. Despite the tremendous benefits, the outsource storage inevitably suffers from the security, privacy, trustworthiness, and the access of outsourced data. To address these issues, there has been increased interest to propose and design new algorithms and methodologies for cloud computing and cloud services.This special issue brings together high quality contributions in these research areas. The papers of the special issue have also identified and discussed the challenges in the field that will lead to new solutions and applications for cloud computing and cloud services.The special issue consists of 12 papers organized as follows. In the first paper [1], the authors propose the guidelines of a holistic security model in online collaborative learning through an effective trustworthiness. They consider a parallel processing approach, which can considerably decrease the time of data processing, thus allowing for building relevant trustworthiness models to support learning activities even in real time. The authors used a distributed infrastructure, such as Hadoop and cluster computing, to implement and evaluate the proposed approach for massive processing of log data. The experimental results showed the feasibility of coping with the problem of structuring and processing ill-formatted, heterogeneous, large log files to extract information on trustworthiness indicators and levels from learning groups and ultimately fill a global framework devoted to improve information security in e-learning in real time.In the second paper [2], the authors present a ciphertext-policy attribute-based proxy reencryption scheme for data sharing in public clouds. They proposed a new single-hop unidirectional Ciphertext-Policy Attribute-Based Proxy Re-Encryptio (CP-ABPRE) scheme, which supports attribute-based re-encryption with any monotonic access structure, to tackle the open problem left by the existing CP-ABPRE schemes. The authors showed that the proposed scheme can be proved secure in the random oracle model under the decisional q-parallel bilinear Diffie-Hellman exponentiation assumption.In the third paper [3], the authors propose Ontology as a Service (OaaS), where the ontology tailoring process serves as a service in the cloud. To illustrate OaaS, in this paper, they propose sub-ontology extraction and extension, whereby multiple sub-ontologies are extracted from various source ontologies and then these extracted sub-ontologies are extended to form a complete ontology to be used by the user. The authors use a maximum extraction method to facilitate this. Unified Medical Language System (UMLS) metathesaurus ontology is us...

show abstract

Performance analysis of bidirectional cloud networks with imperfect channel state information

Cited by 3 publications

References 26 publications

A model for estimating the out‐degree of nodes in associated semantic network from semantic feature view

A model for estimating the out‐degree of nodes in associated semantic network from semantic feature view

Critical Density for Exposure-Path Prevention in Three-Dimensional Wireless Sensor Networks Using Percolation Theory

Advances on cloud services and cloud computing

Contact Info

Product

Resources

About