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Distributed Scheduling of Event Analytics across Edge and Cloud
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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RCQ-GA: RDF Chain Query Optimization Using Genetic Algorithms
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Incorporating Semantic Knowledge into Dynamic Data Processing for Smart Power Grids
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Network-Aware Query Processing for Stream-based Applications
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Internet of Things – New security and privacy challenges
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On the features and challenges of security and privacy in distributed internet of things
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Mobile cloud computing: A survey
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Comparative review of selection techniques in genetic algorithm
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A Framework for Partitioning and Execution of Data Stream Applications in Mobile Cloud Computing
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Soft error-aware design optimization of low power and time-constrained embedded systems
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Network-Aware Operator Placement for Stream-Processing Systems
inferredcites →https://doi.org/10.1109/icfec.2017.20openalex-snapshot
Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions
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How Wearables Intersect with the Cloud and the Internet of Things: Considerations for the developers of wearables
inferredcites →https://doi.org/10.1109/mcse.2013.39openalex-snapshot
Cloud-Based Software Platform for Big Data Analytics in Smart Grids
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Cloud gaming: architecture and performance
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The Case for VM-Based Cloudlets in Mobile Computing
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Techniques to Minimize State Transfer Costs for Dynamic Execution Offloading in Mobile Cloud Computing
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Network Latency Estimation for Personal Devices: A Matrix Completion Approach
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Managing Contingencies in Smart Grids via the Internet of Things
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Complexity Results for Multiprocessor Scheduling under Resource Constraints
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Operator placement for in-network stream query processing
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Three interconnected parameters for genetic algorithms
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Processing flows of information
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A framework for partitioning and execution of data stream applications in mobile cloud computing
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The DEBS 2013 grand challenge
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The DEBS 2014 grand challenge
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Static scheduling algorithms for allocating directed task graphs to multiprocessors
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Query Processing in Sensor Networks
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Plan-based complex event detection across distributed sources
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Complex event detection at wire speed with FPGAs
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Supporting distributed feed-following apps over edge devices
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A Comparison of Particle Swarm Optimization and the Genetic Algorithm
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Large-scale cooperative task distribution on peer-to-peer networks
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Sensing as a Service and Big Data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Latency-Aware Placement of Data Stream Analytics on Edge Computing
inferred← citeshttps://doi.org/10.1007/978-3-030-24405-7_1openalex-snapshot
Robust Optimization Model for Designing Emerging Cloud-Fog Networks
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Deployment of Fog and Edge Computing in IoT for Cyber-Physical Infrastructures in the 5G Era
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Towards a Security-Aware Deployment of Data Streaming Applications in Fog Computing
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TorqueDB: Distributed Querying of Time-Series Data from Edge-local Storage
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Big Data and Fog Computing
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Distributed Video Analytics Across Edge and Cloud Using $$\mathbb {ECHO}$$
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VIoLET: A Large-Scale Virtual Environment for Internet of Things
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Scheduling of Parallel Tasks in Cloud Environment Using DAG MODEL
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HAHS: a fault-tolerant hyper-allocate & hyper-switch framework for fog computing
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Service Placement in the Computing Continuum for Delay-Sensitive IoT/IIoT Applications
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Stochastic performance model for web server capacity planning in fog computing
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Optimization of resource-aware parallel and distributed computing: a review
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Scheduling Internet of Things requests to minimize latency in hybrid Fog–Cloud computing
inferred← citeshttps://doi.org/10.1016/j.jnca.2019.04.010openalex-snapshot
DA-DRLS: Drift adaptive deep reinforcement learning based scheduling for IoT resource management
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Introducing the new paradigm of Social Dispersed Computing: Applications, Technologies and Challenges
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A review of fog computing and its simulators
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Survey of applications, challenges and opportunities in fog computing
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Adaptive Energy-Aware Scheduling of Dynamic Event Analytics Across Edge and Cloud Resources
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Merge, Split, and Cluster: Dynamic Deployment of Stream Processing Applications
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DROPLET: Distributed Operator Placement for IoT Applications Spanning Edge and Cloud Resources
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Optimal Scheduling Algorithm for Distributed Streaming of Data Flow across Edge Devices and Cloud
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IoT Data Processing in the Fog: Functions, Streams, or Batch Processing?
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A Data Stream Processing Optimisation Framework for Edge Computing Applications
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DePo: Dynamically Offload Expensive Event Processing to the Edge of Cyber-Physical Systems
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Towards Metaheuristic Scheduling Techniques in Cloud and Fog: An Extensive Taxonomic Review
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Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm
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Multi-Flow Complex Event Optimization in the Edge: A Smart Street Scenario
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Performance Analysis of Edge Computing in IoT
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