Editorial Board
Preserving instance state during refactorings in live environments
An SDN based framework for maximizing throughput and balanced load distribution in a Cloudlet network
Anonymous decentralized attribute-based access control for cloud-assisted IoT
A utilization model for optimization of checkpoint intervals in distributed stream processing systems
Federated and secure cloud services for building medical image classifiers on an intercontinental infrastructure
Sequence-to-sequence models for workload interference prediction on batch processing datacenters
Mining the sociome for Health Informatics: Analysis of therapeutic lifestyle adherence of diabetic patients in Twitter
Secure software placement and configuration
Carry Forward and Access Control for Unused Resources in Multi Sharing System of Hybrid Cloud
Delay-tolerant routing and message scheduling for CR-VANETs
A machine learning approach to online fault classification in HPC systems
Classification of hand movements using variational mode decomposition and composite permutation entropy index with surface electromyogram signals
An efficient cache flat storage organization for multithreaded workloads for low power processors
WWW Retrieval Handling Optimization wρ3: A metric for webpage timeout setting performance evaluation and comparison
Mutually independent feature flow: An approach to produce fixed complexity latent space for improved performance and decreased parameter count
BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments
Saving time and cost on the scheduling of fog-based IoT applications using deep reinforcement learning approach
Negotiation game for joint IT and energy management in green datacenters
A hybrid personalized scholarly venue recommender system integrating social network analysis and contextual similarity
A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework
Decompiled APK based malicious code classification
Characterizing Linux-based malware: Findings and recent trends
Fuzzy-Taylor-elephant herd optimization inspired Deep Belief Network for DDoS attack detection and comparison with state-of-the-arts algorithms
Defending network intrusion detection systems against adversarial evasion attacks
Adaptive protocol generation for group collaborative in smart medical waste transportation
Architecturally truly diverse systems: A review
An edge-aware autonomic runtime for data streaming and in-transit processing
A logistic mapping-based encryption scheme for Wireless Body Area Networks
Software-Defined Network for End-to-end Networked Science at the Exascale
A multi-stage resource-constrained spectrum access mechanism for cognitive radio IoT networks: Time-spectrum block utilization
Research on the improvement of vision target tracking algorithm for Internet of things technology and Simple extended application in pellet ore phase
Flux: Overcoming scheduling challenges for exascale workflows
Special issue on “Advances on Large Evolving Graphs”
Advancements in knowledge elicitation for computer-based critical systems
Special issue on Advancements in 5G Networks Security
Achieving M2M-device authentication through heterogeneous information bound with USIM card
Blockchain-based mobility management for 5G
Special Issue on Emerging trends in Ubiquitous Systems and Pervasive Networks
A simulation study of commuting alternatives for day care centres
Optimizing copious activity type classes based on classification accuracy and entropy retention
Uncertainty analysis of an activity-based microsimulation model for Singapore
Bus-arrival time prediction using bus network data model and time periods
Broker-less middleware for WSAN performance evaluation
Consistently accurate forecasts of temperature within buildings from sensor data using ridge and lasso regression
GTFS bus stop mapping to the OSM network
Pricing estimation of a barrier option in an IoT scenario
Identifying major tasks and minor tasks within online reviews
International Science Gateways 2017 Special issue
Adding domain data to code profiling tools to debug workflow parallel execution
Applying big data paradigms to a large scale scientific workflow: Lessons learned and future directions
Using the FACE-IT portal and workflow engine for operational food quality prediction and assessment: An application to mussel farms monitoring in the Bay of Napoli, Italy
Performance characterization of scientific workflows for the optimal use of Burst Buffers
Data reduction in scientific workflows using provenance monitoring and user steering
Serverless execution of scientific workflows: Experiments with HyperFlow, AWS Lambda and Google Cloud Functions
Energy-efficient mapping of large-scale workflows under deadline constraints in big data computing systems
Context agnostic trajectory prediction based on λ-architecture
SPARTAN: Semantic integration of big spatio-temporal data from streaming and archival sources
Mobile crowd location prediction with hybrid features using ensemble learning
From big data to smart energy services: An application for intelligent energy management
Omnibus outlier detection in sensor networks using windowed locality sensitive hashing
CorClustST—Correlation-based clustering of big spatio-temporal datasets
Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices
Evaluating smart grid renewable energy accommodation capability with uncertain generation using deep reinforcement learning
Power cognition: Enabling intelligent energy harvesting and resource allocation for solar-powered UAVs
Dredas: Decentralized, reliable and efficient remote outsourced data auditing scheme with blockchain smart contract for industrial IoT
A blockchain-based eHealthcare system interoperating with WBANs
Towards secure and efficient energy trading in IIoT-enabled energy internet: A blockchain approach
Enabling secure wireless multimedia resource pricing using consortium blockchains
Ransomware classification using patch-based CNN and self-attention network on embedded N-grams of opcodes
BlockIoTIntelligence: A Blockchain-enabled Intelligent IoT Architecture with Artificial Intelligence
Predicting likelihood of legitimate data loss in email DLP
Fingerprint classification and identification algorithms for criminal investigation: A survey
Wireless high-frequency NLOS monitoring system for heart disease combined with hospital and home
A new technique for the prediction of heart failure risk driven by hierarchical neighborhood component-based learning and adaptive multi-layer networks
Automatic feature extraction in X-ray image based on deep learning approach for determination of bone age
Deep learning-based cardiovascular image diagnosis: A promising challenge
Blockchain-based data privacy management with Nudge theory in open banking
Similarity hash based scoring of portable executable files for efficient malware detection in IoT
An approach for benchmarking the security of web service frameworks
Mining the frequency of time-constrained serial episodes over massive data sequences and streams
Plane Separation: A method to solve dynamic multi-objective optimization problems with incorporated preferences
Approaching the cell switch-off problem in 5G ultra-dense networks with dynamic multi-objective optimization
A blockchain based certificate revocation scheme for vehicular communication systems
Community elicitation from co-occurrence of activities
Predicting user reactions to Twitter feed content based on personality type and social cues
Improving orienteering-based tourist trip planning with social sensing
Implementation-independent function reuse
A Multi-Objective Genetic Algorithm for detecting dynamic communities using a local search driven immigrant’s scheme
Towards a large-scale twitter observatory for political events
Multi-domain sentiment analysis with mimicked and polarized word embeddings for human–robot interaction
Improved emotion recognition in Spanish social media through incorporation of lexical knowledge
