Titlebook: Quality, Reliability, Security and Robustness in Heterogeneous Systems; 15th EAI Internation Xiaowen Chu,Hongbo Jiang,Wei Wang Conference p

ETHER

Stability of Positive Systems in WSN Gateway for IoT&IIoTh other to perform some specific tasks such as speed control, reliability and security of transmission, just the attributes that define stability being one of the fundamental features of control systems. Such a system returns to equilibrium after being unbalanced. There are many definitions of stabi

BUCK

Ablation

Toward Optimal Resource Allocation for?Task Offloading in Mobile Edge?Computinghe edge for task coordination. The tasks are jointly considered to minimize the computing overhead and energy consumption, where the cost model of local devices is used as one of the optimization objectives in this wireless mobile selective schedule. We also establish the multi-devices task offloadi

Facet-Joints

Obscure

A Reinforcement Learning Based Placement Strategy in Datacenter Networksrning, each node can adaptively select next-hop based on the network information collected from downstream, and forward the data toward the storage node that has adequate capacity along the path with high available bandwidth. We evaluate our proposal on the NS-3 simulator in terms of average delay,

猛烈責(zé)罵

統(tǒng)治人類

Batch Auction Design for Cloud Container Servicesfor designing efficient approximation algorithms for social welfare maximization; and (iii) posted price mechanisms for batch decision making and truthful payment design. Theoretical analysis and trace-driven empirical evaluation verify the efficacy of our container auction algorithms.

借喻

A-GNN: Anchors-Aware Graph Neural Networks for Node Embeddingormal nodes. In this paper, we propose Anchors-aware Graph Neural Networks (A-GNN), which can make the vectors of node embedding contain location information by introducing anchors. A-GNN first selects the set of anchors, computes the distance of any given target node to each anchor, and afterwards

罐里有戒指

Accelerating Face Detection Algorithm on the FPGA Using SDAccelrithm on FPGA is taken as an example to demonstrate the development process of SDAccel, and explore the potential parallelism of the algorithm, as well as how to optimize the hardware circuit with high-level language. Our final design is 70 times faster than a single-threaded CPU.

肉身

Divide and Conquer: Efficient Multi-path Validation with ProMPVampered by its next hop. In multi-path routing, this greatly optimizes the computation and packet size. A packet no longer needs to carry all proofs of routers along all paths. Instead, it iteratively updates its carried proofs that correspond to only three hops. We validate the security and perform