Editorial Board
Towards a proper service placement in combined Fog-to-Cloud (F2C) architectures
Multi-threaded learning control mechanism for neural networks
Adaptive selection of dynamic VM consolidation algorithm using neural network for cloud resource management
Profiling distributed graph processing systems through visual analytics
Enhancing transient fault tolerance in embedded systems through an OS task level redundancy approach
Distributed nearest neighbor classification for large-scale multi-label data on spark
An online learning model based on episode mining for workload prediction in cloud
Optimizing security and quality of service in a real-time operating system using multi-objective Bat algorithm
Novel SDN architecture for smart MPLS Traffic Engineering-DiffServ Aware management
Age-related Macular Degeneration detection using deep convolutional neural network
Simplifying self-adaptive and power-aware computing with Nornir
Heterogeneous 3-D ICs as a platform for hybrid energy harvesting in IoT systems
Agreement-based credibility assessment and task replication in human computation systems
Decentralized self-adaptation for elastic Data Stream Processing
A crowdsourcing-based topic model for service matchmaking in Internet of Things
A resilient and distributed near real-time traffic forecasting application for Fog computing environments
Hierarchical decomposition method and combination forecasting scheme for access load on public map service platforms
Paving the way towards high-level parallel pattern interfaces for data stream processing
Comparison of WSN and IoT approaches for a real-time monitoring system of meal distribution trolleys: A case study
Image search scheme over encrypted database
RIMS: A Real-time and Intelligent Monitoring System for live-broadcasting platforms
Structure-aware Mashup service Clustering for cloud-based Internet of Things using genetic algorithm based clustering algorithm
Offloading in fog computing for IoT: Review, enabling technologies, and research opportunities
Big data analysis for brain tumor detection: Deep convolutional neural networks
Toward service selection for workflow reconfiguration:An interface-based computing solution
Recommender systems based on multiple social networks correlation
A novel machine learning approach for scene text extraction
Privacy-preserving machine learning with multiple data providers
AFIRM: Adaptive forwarding based link recovery for mobility support in NDN/IoT networks
Multi-criteria based zone head selection in Internet of Things based wireless sensor networks
Thermal benchmarking and modeling for HPC using big data applications
Automating smart recommendation from natural language API descriptions via representation learning
PiCo: High-performance data analytics pipelines in modern C++
Constructing independent spanning trees with height n on the n-dimensional crossed cube
Flexible IoT security middleware for end-to-end cloud–fog communication
Emerging trends, issues and challenges in Internet of Things, Big Data and cloud computing
BDWatchdog: Real-time monitoring and profiling of Big Data applications and frameworks
A load-aware resource allocation and task scheduling for the emerging cloudlet system
Towards provisioning hybrid virtual networks in federated cloud data centers
VM instance selection for deadline constraint job on agent-based interconnected cloud
Secure policy execution using reusable garbled circuit in the cloud
Towards increasing reliability of clouds environments with RESTful web services
A decision theoretic framework for selecting source location privacy aware routing protocols in wireless sensor networks
Incremental encoding for erasure-coded cross-datacenters cloud storage
Bridging data-capacity gap in big data storage
The optimization for recurring queries in big data analysis system with MapReduce
Building edge intelligence for online activity recognition in service-oriented IoT systems
Hybrid knowledge fusion and inference on cloud environment
A multi-layered performance analysis for cloud-based topic detection and tracking in Big Data applications
Modeling of cross-disciplinary collaboration for potential field discovery and recommendation based on scholarly big data
Big Data for Internet of Things: A Survey
New directions in mobile, hybrid, and heterogeneous clouds for cyberinfrastructures
Predicting cloud performance for HPC applications before deployment
Performance modelling and verification of cloud-based auto-scaling policies
RConf(PD): Automated resource configuration of complex services in the cloud
A heterogeneous mobile cloud computing model for hybrid clouds
End-to-end energy models for Edge Cloud-based IoT platforms: Application to data stream analysis in IoT
Leakage resilient ID-based proxy re-encryption scheme for access control in fog computing
Recent advances in security and privacy in Social Big Data
Eavesdrop with PoKeMon: Position free keystroke monitoring using acoustic data
Verifiable keyword search for secure big data-based mobile healthcare networks with fine-grained authorization control
A component based unified architecture for utility service in cloud
A prediction system of Sybil attack in social network using deep-regression model
Improving security in cloud by formal modeling of IaaS resources
Enhancing network capacity by weakening community structure in scale-free network
Privacy-preserving wireless communications using bipartite matching in social big data
Mining multiple spatial–temporal paths from social media data
Privacy-protected statistics publication over social media user trajectory streams
Security-oriented opportunistic data forwarding in Mobile Social Networks
Answering differentially private queries for continual datasets release
Economics of Computing Services: A literature survey about technologies for an economy of fungible cloud services
A performance brokerage for heterogeneous clouds
Establishing User-centric Cloud Service Registries
Cloudy in guifi.net: Establishing and sustaining a community cloud as open commons
Model-driven development of data intensive applications over cloud resources
Identifying worst-case user scenarios for performance testing of web applications using Markov-chain workload models