Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Zhuzhong Qian"'
Publikováno v:
IEEE/ACM Transactions on Networking. 28:2378-2391
Mobile Augmented Reality (MAR) applications usually contain computation-intensive tasks which far outstrip the capability of mobile devices. One way to overcome this is offloading computation-intensive MAR tasks to remote clouds. However, the wide ar
Publikováno v:
ACM Transactions on Sensor Networks. 15:1-23
Wireless energy transfer has been widely studied in recent decades, with existing works mainly focused on maximizing network lifetime, optimizing charging efficiency, and optimizing charging quality. All these works use a charging model with the line
Publikováno v:
Mobile Networks and Applications. 26:1172-1181
Cloud radio access network (C-RAN) has been widely regarded as a promising techniques for 5G cellular mobile communication. By decoupling radio and baseband processing from all-in-one macro base station into remote radio head (RRH) and baseband unit
Publikováno v:
IEEE Access, Vol 7, Pp 106997-107005 (2019)
QoS-aware big data analysis is critical in Information-Centric Internet of Things (IC-IoT) system to support various applications like smart city, smart grid, smart health, intelligent transportation systems, and so on. The employment of non-volatile
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
Rack scale design is a promising trend towards customized hardware design, where high density clusters of SoCs are integrated in the rack. One of the biggest challenges for rack scale computing is the interconnection network. Traditional data center
Publikováno v:
ICPADS
With the development of deep learning, artificial intelligence applications and services have boomed in the recent years, including recommendation systems, personal assistant and video analytics. Similar to other services in the edge computing enviro
Publikováno v:
ICDCS
Federated learning achieves the privacy-preserving training of models on mobile devices by iteratively aggregating model updates instead of raw training data to the server. Since excessive training iterations and model transferences incur heavy usage
Publikováno v:
ICDCS
In this paper, we consider a fundamental problem: given one mobile charger that can charge multiple sensor nodes simultaneously, how we can schedule it to charge a given WSN to maximize the energy usage effectiveness (EUE)? We propose a novel chargin
Publikováno v:
INFOCOM
Real-time analytics on video data demands intensive computation resources and high energy consumption. Traditional cloud-based video analytics relies on large centralized clusters to ingest video streams. With edge computing, we can offload compute-i
Publikováno v:
SECON
Provisioning machine learning inference as a service at the mobile network edge for distributed users in an online setting faces multiple challenges, including the accuracy-resource trade-off for model selection, the time-coupled decision for model d