7 citations · 9 across the 9 of their papers we have counts for
6 papers · 1 filter
A Survey on Graph Processing Accelerators: Challenges and Opportunities
Chuangyi Gui, Long Zheng, Bingsheng He +4
Graph is a well known data structure to represent the associated relationships in a variety of applications, e.g., data science and machine learning. Despite a wealth of existing e…
Optimizing the SSD Burst Buffer by Traffic Detection
Xuanhua Shi, Wei Liu, Ligang He +3
Currently, Burst buffer has been proposed to manage the SSD buffering of bursty write requests. Although burst buffer can improve I/O performance in many cases, we find that it has…
Echo: An Edge-Centric Code Offloading System with Quality of Service Guarantee
Li Lin, Xiaofei Liao
Code offloading is promising to accelerate mobile applications and save energy of mobile devices by shifting some computation to cloud. However, existing code offloading systems su…
Efficient Time-Evolving Stream Processing at Scale
Yu Huang
Time-evolving stream datasets exist ubiquitously in many real-world applications where their inherent hot keys often evolve over times. Nevertheless, few existing solutions can pro…
SDPMN: Privacy Preserving MapReduce Network Using SDN
He Li, Hai Jin
MapReduce is a popular programming model and an associated implementation for parallel processing big data in the distributed environment. Since large scaled MapReduce data centers…
MURS: Mitigating Memory Pressure in Service-oriented Data Processing Systems
Xuanhua Shi, Xiong Zhang, Ligang He +3
Although a data processing system often works as a batch processing system, many enterprises deploy such a system as a service, which we call the service-oriented data processing s…