A survey on iot big data: current status, 13 v's challenges, and future directions
Driven by the core technologies, ie, sensor-based autonomous data acquisition and the
cloud-based big data analysis, IoT automates the actuation of data-driven intelligent actions …
cloud-based big data analysis, IoT automates the actuation of data-driven intelligent actions …
Integration of ICN and MEC in 5G and beyond networks: Mutual benefits, use cases, challenges, standardization, and future research
Multi-access Edge Computing (MEC) is a novel edge computing paradigm that moves
cloudbased processing and storage capabilities closer to mobile users by implementing …
cloudbased processing and storage capabilities closer to mobile users by implementing …
Evaluation of fog application placement algorithms: a survey
Recently, the concept of cloud computing has been extended towards the network edge.
Devices near the network edge, called fog nodes, offer computing capabilities with low …
Devices near the network edge, called fog nodes, offer computing capabilities with low …
Throughput-aware partitioning and placement of applications in fog computing
Fog computing promises to extend cloud computing to match emerging demands for low
latency, location-awareness and dynamic computation. It thus brings data processing close …
latency, location-awareness and dynamic computation. It thus brings data processing close …
Akka framework based on the Actor model for executing distributed Fog Computing applications
SN Srirama, FMS Dick, M Adhikari - Future Generation Computer Systems, 2021 - Elsevier
Abstract Future Internet of Things (IoT)-driven applications will move from the cloud-centric
IoT model to the hybrid distributed processing model, known as Fog computing, where some …
IoT model to the hybrid distributed processing model, known as Fog computing, where some …
Linearize, predict and place: minimizing the makespan for edge-based stream processing of directed acyclic graphs
Many IoT applications found in cyber-physical systems, such as smart grids, must take
control actions in response to critical events, such as supply-demand mismatch, which …
control actions in response to critical events, such as supply-demand mismatch, which …
Cutting throughput with the edge: App-aware placement in fog computing
Fog computing extends cloud computing technology to the edge of the infrastructure to
support dynamic computation for IoT applications. Reduced latency and location awareness …
support dynamic computation for IoT applications. Reduced latency and location awareness …
A task execution scheme for dew computing with state-of-the-art smartphones
The computing resources of today's smartphones are underutilized most of the time. Using
these resources could be highly beneficial in edge computing and fog computing contexts …
these resources could be highly beneficial in edge computing and fog computing contexts …
[HTML][HTML] Distributed algorithms based on proximity for self-organizing fog computing systems
V Karagiannis, S Schulte - Pervasive and Mobile Computing, 2021 - Elsevier
Various performance benefits such as low latency and high bandwidth have turned fog
computing into a well-accepted extension of the cloud computing paradigm. Many fog …
computing into a well-accepted extension of the cloud computing paradigm. Many fog …
Latency-aware strategies for deploying data stream processing applications on large cloud-edge infrastructure
A da Silva Veith, MD de Assuncao… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) applications often require the processing of data streams generated
by devices dispersed over a large geographical area. Traditionally, these data streams are …
by devices dispersed over a large geographical area. Traditionally, these data streams are …