activity
20192021
most citedOptimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing

365 citations · 367 across the 2 of their papers we have counts for

collaborators

5 papers

cs.SE20212 cited

EdgeWorkflowReal: An Edge Computing based Workflow Execution Engine for Smart Systems

Xuejun Li, Ran Ding, Xiao Liu +3

Current cloud-based smart systems suffer from weaknesses such as high response latency, limited network bandwidth and the restricted computing power of smart end devices which seri…

cs.DB2020

Efficiently Finding a Maximal Clique Summary via Effective Sampling

Xiaofan Li, Rui Zhou, Lu Chen +3

Maximal clique enumeration (MCE) is a fundamental problem in graph theory and is used in many applications, such as social network analysis, bioinformatics, intelligent agent syste…

cs.DC2019

Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud

Dongwei Li, Shuliang Wang, Nan Gao +2

Clustering big data often requires tremendous computational resources where cloud computing is undoubtedly one of the promising solutions. However, the computation cost in the clou…

cs.DC2019

Edge User Allocation with Dynamic Quality of Service

Phu Lai, Qiang He, Guangming Cui +6

In edge computing, edge servers are placed in close proximity to end-users. App vendors can deploy their services on edge servers to reduce network latency experienced by their app…

cs.DC2019365 cited

Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing

Phu Lai, Qiang He, Mohamed Abdelrazek +4

In mobile edge computing, edge servers are geographically distributed around base stations placed near end-users to provide highly accessible and efficient computing capacities and…