On the public citation graph

arkLB: High Performance eBPF-Based Load Balancer for Microservices

https://doi.org/10.2139/ssrn.4680868
0 signed · 21 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-031-23220-6_27openalex-extracted
eBPF-based Extensible Paravirtualization
inferredcites →https://doi.org/10.1016/j.procs.2022.12.116openalex-extracted
Computer network design and implementation using load balancing technique with per connection classifier (PCC) method based on MikroTik router
inferredcites →https://doi.org/10.1016/j.simpat.2021.102485openalex-extracted
RAFL: A hybrid metaheuristic based resource allocation framework for load balancing in cloud computing environment
inferredcites →https://doi.org/10.1109/access.2021.3065170openalex-extracted
Migration-Based Load Balance of Virtual Machine Servers in Cloud Computing by Load Prediction Using Genetic-Based Methods
inferredcites →https://doi.org/10.1109/access.2021.3065308openalex-extracted
A Load Balancing Algorithm for the Data Centres to Optimize Cloud Computing Applications
inferredcites →https://doi.org/10.1109/access.2021.3108801openalex-extracted
High-Performance Software Load Balancer for Cloud-Native Architecture
inferredcites →https://doi.org/10.1109/access.2022.3149955openalex-extracted
Multi-Objective Task Scheduling Optimization for Load Balancing in Cloud Computing Environment Using Hybrid Artificial Bee Colony Algorithm With Reinforcement Learning
inferredcites →https://doi.org/10.1109/access.2022.3157435openalex-extracted
A Fair, Dynamic Load Balanced Task Distribution Strategy for Heterogeneous Cloud Platforms Based on Markov Process Modeling
inferredcites →https://doi.org/10.1109/access.2023.3241279openalex-extracted
A Fast Converging and Globally Optimized Approach for Load Balancing in Cloud Computing
inferredcites →https://doi.org/10.1109/ccgrid51090.2021.00028openalex-extracted
Machine Learning for Load Balancing in Cloud Datacenters
inferredcites →https://doi.org/10.1109/icpads56603.2022.00103openalex-extracted
OXDP: Offloading XDP to SmartNIC for Accelerating Packet Processing
inferredcites →https://doi.org/10.1109/mecon53876.2022.9752207openalex-extracted
Energy Efficient Load Balancing Algorithm through MetaHuristics Approaches for Cloud-Computing-Environment
inferredcites →https://doi.org/10.1109/tcc.2018.2790404openalex-extracted
A Game Approach to Multi-Servers Load Balancing with Load-Dependent Server Availability Consideration
inferredcites →https://doi.org/10.1109/tcc.2021.3117604openalex-extracted
Cloud Computing Based Demand Response Management Using Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tgcn.2022.3162237openalex-extracted
LBSMT: Load Balancing Switch Migration Algorithm for Cooperative Communication Intelligent Transportation Systems
inferredcites →https://doi.org/10.1109/tnet.2022.3177163openalex-extracted
HLB: Toward Load-Aware Load Balancing
inferredcites →https://doi.org/10.1109/tnsm.2022.3218819openalex-extracted
Energy Efficient Clustering and Resource Allocation Strategy for Ultra-Dense Networks: A Machine Learning Framework
inferredcites →https://doi.org/10.1145/3371038openalex-extracted
Fast Packet Processing with eBPF and XDP
inferredcites →https://doi.org/10.1145/3594255.3594256openalex-extracted
Fast In-kernel Traffic Sketching in eBPF
inferredcites →https://doi.org/10.1155/2022/3866143openalex-extracted
ALBRL: Automatic Load‐Balancing Architecture Based on Reinforcement Learning in Software‐Defined Networking
inferredcites →https://doi.org/10.23919/indiacom54597.2022.9763200openalex-extracted
Genetic Approach based Optimized Load Balancing in Cloud Computing: A Performance Perspective
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.