Resource scheduling in edge computing: A survey
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …
networks, the surging demand for data communications and computing calls for the …
Dynamic service placement in multi-access edge computing: A systematic literature review
The advent of new cloud-based applications such as mixed reality, online gaming,
autonomous driving, and healthcare has introduced infrastructure management challenges …
autonomous driving, and healthcare has introduced infrastructure management challenges …
EEDTO: An energy-efficient dynamic task offloading algorithm for blockchain-enabled IoT-edge-cloud orchestrated computing
With the proliferation of compute-intensive and delay-sensitive mobile applications, large
amounts of computational resources with stringent latency requirements are required on …
amounts of computational resources with stringent latency requirements are required on …
A survey on mobile edge computing infrastructure: Design, resource management, and optimization approaches
LA Haibeh, MCE Yagoub, A Jarray - IEEE Access, 2022 - ieeexplore.ieee.org
Emerging 5G cellular networks are expected to face a dramatic increase in the volume of
mobile traffic and IoT user requests due to the massive growth in mobile devices and the …
mobile traffic and IoT user requests due to the massive growth in mobile devices and the …
Performance and cost-efficient spark job scheduling based on deep reinforcement learning in cloud computing environments
MT Islam, S Karunasekera… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Big data frameworks such as Spark and Hadoop are widely adopted to run analytics jobs in
both research and industry. Cloud offers affordable compute resources which are easier to …
both research and industry. Cloud offers affordable compute resources which are easier to …
Edge-oriented computing: A survey on research and use cases
Edge computing is a distributed computing paradigm such that client data are processed at
the periphery of the network, as close as possible to the originating source. Since the 21st …
the periphery of the network, as close as possible to the originating source. Since the 21st …
An improved multi-objective genetic algorithm with heuristic initialization for service placement and load distribution in edge computing
Edge Computing (EC) is a promising concept to overcome some obstacles of traditional
cloud data centers to support Internet of Things (IoT) applications, especially time-sensitive …
cloud data centers to support Internet of Things (IoT) applications, especially time-sensitive …
A hybrid edge-cloud system for networking service components optimization using the internet of things
The need for data is growing steadily due to big data technologies and the Internet's quick
expansion, and the volume of data being generated is creating a significant need for data …
expansion, and the volume of data being generated is creating a significant need for data …
Reliability-enhanced task offloading in mobile edge computing environments
J Liu, A Zhou, C Liu, T Zhang, L Qi… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) devices have become an integral part of our lives and are
increasingly used in almost every field. Subsequently, there are a large number of latency …
increasingly used in almost every field. Subsequently, there are a large number of latency …
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 …