MasQ

He, Zhiqiang; Wang, Dongyang; Fu, Binzhang; Tan, Kun; Hua, Bin; Zheng, Kai

doi:10.1145/3387514.3405849

Cited by 18 publications

(20 citation statements)

References 14 publications

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“…Resource virtualization is a fundamental principle of the cloud computing paradigm. From a networking perspective, we already distinguished between two kinds of virtualization, I/O virtualization and network virtualization, according to previous literature on this topic [53], [54]. Although those two aspects are closely intertwined, in the former case we refer to the mechanisms to enable VMs or containers running on a shared physical host to access an external network.…”

Section: Virtualization Techniquesmentioning

confidence: 99%

“…Furthermore, as we discuss in the remainder of the survey, the most important challenges concerning the introduction of network acceleration technologies in cloud platforms will emerge in the context of I/O virtualization and network virtualization. In the following, we briefly discuss the standard approaches typically used by cloud providers to enforce those two forms of virtualization [8], [54]- [59].…”

Section: Virtualization Techniquesmentioning

confidence: 99%

“…This Section describes three main techniques that have been proposed to fulfill these requirements, which we visually represent in Fig. 9: new forms of hardware offload (AccelNet [81]), a more efficient paravirtualization technique (virtio-PMD [122], FreeFlow [56], KuberneTSN [59], VSocket [57]), and hybrid solutions that combine the advantages of both (virtio-rdma [123], HyV [53], Mouzakitis et al [124], MasQ [54], SocksDirect [58]). We summarize the key insights of these proposals in Table IV: we underline the main optimizations each work introduces over standard techniques for an efficient integration of hardware-accelerated networking into the existing infrastructures.…”

Section: A I/o Virtualizationmentioning

confidence: 99%

“…3) Hybrid virtualization: A number of works have introduced the concept of hybrid virtualization to balance the flexibility of the paravirtualization mechanism with the performance efficiency of the hardware-based option [53], [54], [58], [123], [124]. The goal of these approaches is a complete separation between the data and control planes, in order to preserve the flexibility of a software control path, typical of paravirtualization techniques, while also leveraging the efficiency of a bare-metal access to the NIC, typical of hardwareassisted virtualization techniques.…”

Section: A I/o Virtualizationmentioning

confidence: 99%

“…According to our taxonomy, in the following we consider various approaches proposed in the literature to overcome this obstacle and classify them as hardware (AccelNet [81], Nitro [126], BlueBird [127]), software (VSocket [57], FreeFlow [56]), and hybrid (or software-defined) (MasQ [54]), depending on how and where the typical functions of a virtual switch are implemented to improve the overall performance. Table V provides a summary of this classification.…”

Section: B Network Virtualizationmentioning

confidence: 99%

See 4 more Smart Citations

Empowering Cloud Computing With Network Acceleration: A Survey

Rosa,

Foschini,

Corradi

2024

IEEE Commun. Surv. Tutorials

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Modern interactive and data-intensive applications must operate under demanding time constraints, prompting a shift toward the adoption of specialized software and hardware network acceleration technologies. This specialization, however, poses significant scalability, flexibility, security, and economic sustainability challenges for application developers. Cloud computing holds the potential to overcome these obstacles by offering the cost-effective option to access specialized acceleration technologies through standard cloud interfaces. Nevertheless, that integration is still challenging for cloud providers. In the cloud, physical resources are hidden behind a virtualization layer, whereas acceleration technologies make applications directly interact with the hardware. To bridge this gap, recent literature explores the possibility of empowering cloud platforms with accelerated networking as a commodity, thus offering the innovative option of Network Acceleration as a Service. This survey reviews these recent research efforts by adopting popular technologies like XDP, DPDK, and RDMA as a reference. To organize the surveyed research in a comprehensive framework, we identify four key aspects that pose critical problems to the integration of acceleration options in cloud computing -access interfaces, virtualization techniques, serviceability, and security -and systematically discuss the associated challenges. Then, we present the issues to be further addressed and outline the most promising research directions for the full integration of network acceleration within next-generation cloud computing platforms.

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Section: Virtualization Techniquesmentioning

confidence: 99%

Section: Virtualization Techniquesmentioning

confidence: 99%

Section: A I/o Virtualizationmentioning

confidence: 99%

Section: A I/o Virtualizationmentioning

confidence: 99%

Section: B Network Virtualizationmentioning

confidence: 99%

See 3 more Smart Citations

Empowering Cloud Computing With Network Acceleration: A Survey

Rosa,

Foschini,

Corradi

2024

IEEE Commun. Surv. Tutorials

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Virtualization Environment in Cloud Computing

Pal¹,

Le²,

Pattnaik³

2022

Cloud Computing Solutions

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RDMA-Based Apache Storm for High-Performance Stream Data Processing

Zhang

Liu

Jiang

et al. 2021

Int J Parallel Prog

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Apache Storm is a scalable fault-tolerant distributed realtime stream-processing framework widely used in big data applications. For distributed data-sensitive applications, low-latency, high-throughput communication modules have a critical impact on overall system performance. Apache Storm currently uses Netty as its communication component, an asynchronous server/client framework based on TCP/IP protocol stack. The TCP/IP protocol stack has inherent performance flaws due to frequent memory copying and context switching. The Netty component not only limits the performance of the Storm but also increases the CPU load in the IPoIB (IP over InfiniBand) communication mode. In this paper, we introduce two new implementations for Apache Storm communication components with the help of RDMA technology. The performance evaluation on Mellanox QDR Cards (40 Gbps) shows that our implementations can achieve speedup up to 5x compared with IPoIB and 10x with 1 Gigabit Ethernet. Our implementations also significantly reduce the CPU load and increase the throughput of the system.

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MasQ

Cited by 18 publications

References 14 publications

Empowering Cloud Computing With Network Acceleration: A Survey

Empowering Cloud Computing With Network Acceleration: A Survey

Virtualization Environment in Cloud Computing

RDMA-Based Apache Storm for High-Performance Stream Data Processing

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