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Energy efficient dynamic offloading in mobile edge computing for internet of things
With proliferation of computation-intensive Internet of Things (IoT) applications, the limited
capacity of end devices can deteriorate service performance. To address this issue …
capacity of end devices can deteriorate service performance. To address this issue …
Optimal schedule of mobile edge computing for internet of things using partial information
Mobile edge computing is of particular interest to Internet of Things (IoT), where inexpensive
simple devices can get complex tasks offloaded to and processed at powerful infrastructure …
simple devices can get complex tasks offloaded to and processed at powerful infrastructure …
Diet code is healthy: Simplifying programs for pre-trained models of code
Pre-trained code representation models such as CodeBERT have demonstrated superior
performance in a variety of software engineering tasks, yet they are often heavy in …
performance in a variety of software engineering tasks, yet they are often heavy in …
Combining global optimization with local selection for efficient QoS-aware service composition
The run-time binding of web services has been recently put forward in order to support rapid
and dynamic web service compositions. With the growing number of alternative web …
and dynamic web service compositions. With the growing number of alternative web …
A hybrid approach for efficient Web service composition with end-to-end QoS constraints
Dynamic selection of Web services at runtime is important for building flexible and loosely-
coupled service-oriented applications. An abstract description of the required services is …
coupled service-oriented applications. An abstract description of the required services is …
AoI-aware user service satisfaction enhancement in digital twin-empowered edge computing
The emerging digital twin technique enhances the network management efficiency and
provides comprehensive insights on network performance, through map** physical …
provides comprehensive insights on network performance, through map** physical …
A minimal algorithm for the 0-1 knapsack problem
Several types of large-sized 0-1 Knapsack Problems (KP) may be easily solved, but in such
cases most of the computational effort is used for sorting and reduction. In order to avoid this …
cases most of the computational effort is used for sorting and reduction. In order to avoid this …
Digital twin-enabled service satisfaction enhancement in edge computing
The emerging digital twin technique enhances the network management efficiency and
provides comprehensive insights, through map** physical objects to their digital twins …
provides comprehensive insights, through map** physical objects to their digital twins …
Linear time algorithms for knapsack problems with bounded weights
A new technique called balancing is presented for the solution of Knapsack Problems. It is
proved that an optimal solution to the Knapsack Problem is balanced, and thus only …
proved that an optimal solution to the Knapsack Problem is balanced, and thus only …
Budget-aware user satisfaction maximization on service provisioning in mobile edge computing
Mobile Edge Computing (MEC) promises to provide mobile users with delay-sensitive
services at the edge of network, and each user service request usually is associated with a …
services at the edge of network, and each user service request usually is associated with a …