EYWA: Elastic Load-Balancing and High-Availability Wired Virtual Network Architecture

๐Ÿ“… 2026-04-10
๐Ÿ“ˆ Citations: 0
โœจ Influential: 0
๐Ÿ“„ PDF
๐Ÿค– AI Summary
This work addresses the scalability bottlenecks and the inherent trade-off between high availability and load balancing in traditional cloud IaaS virtual networks under multi-tenant environments. To overcome these limitations, the authors propose a fully distributed virtual network architecture that eliminates centralized control and data planes by leveraging per-host agents. The design supports VLAN-based isolation for up to approximately 16.7 million tenants, accommodates large IP subnets per tenant, and provides SNAT/DNAT services without throughput bottlenecksโ€”all while preserving large Layer 2 semantics and eliminating single points of failure. Prototype evaluation demonstrates that the proposed architecture achieves high availability, efficient load balancing, and elastic scalability to large-scale deployments, significantly enhancing the performance and reliability of multi-tenant virtual networks.

Technology Category

Machine Learning: Scalability of ML SystemsSearch and Optimization: Distributed SearchData Mining & Knowledge Management: Scalability, Parallel & Distributed Systems

Application Category

Systems and Infrastructure for Web, Mobile and WoT: Virtualization and resource management in Web systems and infrastructuresEconomics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystemsResponsible Web: Measurement, analysis, and circumvention of Web censorship
๐Ÿ“ Abstract
Infrastructure as a Service (IaaS) in cloud environments provides compute, storage, networking, and other fundamental resources that allow consumers to deploy and run arbitrary software, including operating systems and applications. To support multi-tenant environments, IaaS leverages virtualization, but conventional overlay network architectures have become a direct cause of scalability limitations. In particular, current IaaS virtual networks face challenges in high availability and load balancing. To address these issues, we present EYWA, a virtual network architecture that scales to support very large data centers with high availability, efficient load balancing, and large layer-2 semantics. EYWA overcomes scalability limitations by: (1) accommodating a large number of tenants (about 2^24 = 16,777,216) through logically isolated virtual LANs with unique IP ranges, (2) providing per-tenant public network services without throughput bottlenecks or single points of failure in network address translation (SNAT/DNAT), and (3) enabling a single large IP subnet per tenant with extended layer-2 semantics. EYWA combines existing techniques into a distributed scale-out control and data plane. Its only component is an agent running on each hypervisor host, which collectively act as a distributed controller. As a result, EYWA can be deployed in today's multi-tenant cloud environments. We have implemented a proof-of-concept (PoC) of EYWA and evaluated its effectiveness through measurements and experiments in our lab.
Problem

Research questions and friction points this paper is trying to address.

virtual network
high availability
load balancing
scalability
multi-tenant
Innovation

Methods, ideas, or system contributions that make the work stand out.

Elastic Load-Balancing
High Availability
Virtual Network Architecture
Distributed Control Plane
Multi-tenant IaaS
๐Ÿ”Ž Similar Papers
No similar papers found.
W
Wookjae Jeong
Dept. of Distributed Architecture, Independent Researcher, Seoul, Korea
J
Jungin Jung
Dept. of Distributed Architecture, Independent Researcher, Seoul, Korea