virtio-mem: paravirtualized memory hot(un)plug

Hildenbrand, David; Schulz, Martin

doi:10.1145/3453933.3454010

Cited by 6 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Together, KVM and QEMU allow running unmodified guest OSs [67]. However, to avoid the overhead that fullvirtualization implies, there is also the possibility of running paravirtualized OSs using Virtio [68].…”

Section: Kvmmentioning

confidence: 99%

A Comprehensive Survey on the Use of Hypervisors in Safety-Critical Systems

2023

View full text Add to dashboard Cite

Virtualization has become one of the main tools for making efficient use of the resources offered by multicore embedded platforms. In recent years, even sectors such as space, aviation, and automotive, traditionally wary of adopting this type of technology due to the impact it could have on the safety of their systems, have been forced to introduce it into their day-to-day work, as their applications are becoming increasingly complex and demanding. This article provides a comprehensive review of the research work that uses or considers the use of a hypervisor as the basis for building a virtualized safetycritical embedded system. Once the hypervisors developed or adapted for this type of system have been identified, an exhaustive qualitative comparison is made between them. an exhaustive qualitative comparison is made between them. To the best of our knowledge, this is the first time that all this information is collected in a single article. Therefore, the main contribution of this article is that it collects and categorizes the information of each hypervisor and compares them with each other, so that this article can be used as a starting point for future researchers in this area, who will be able to quickly check which hypervisor is best suited to their research needs.

show abstract

Section: Kvmmentioning

confidence: 99%

A Comprehensive Survey on the Use of Hypervisors in Safety-Critical Systems

2023

View full text Add to dashboard Cite

show abstract

“…A new VM that arrives later may end up spanning because the MHVM is occupying the optimal NUMA node. While techniques such as virtio-balloon [17] can reclaim memory in a NUMA-aware manner, these approaches cannot ameliorate the fundamental decrease in locality when reclaiming memory from multiple VMs. We quantify the potential impact of NUMA spanning by measuring the performance of representative workloads derived from Azure's internal production workloads.…”

Section: Challenges In Real Cloud Platformsmentioning

confidence: 99%

Memory-harvesting VMs in cloud platforms

Fuerst

Novaković

Goiri

et al. 2022

Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems

View full text Add to dashboard Cite

Cloud platforms monetize their spare capacity by renting "Spot" virtual machines (VMs) that can be evicted in favor of higher-priority VMs. Recent work has shown that resource-harvesting VMs are more effective at exploiting spare capacity than Spot VMs, while also reducing the number of evictions. However, the prior work focused on harvesting CPU cores while keeping memory size fixed. This wastes a substantial monetization opportunity and may even limit the ability of harvesting VMs to leverage spare cores. Thus, in this paper, we explore memory harvesting and its challenges in real cloud platforms, namely its impact on VM creation time, NUMA spanning, and page fragmentation. We start by characterizing the amount and dynamics of the spare memory in Azure. We then design and implement memory-harvesting VMs (MHVMs), introducing new techniques for memory buffering, batching, and pre-reclamation. To demonstrate the use of MHVMs, we also extend a popular cluster scheduling framework (Hadoop) and a FaaS platform to adapt to them. Our main results show that (1) there is plenty of scope for memory harvesting in real platforms; (2) MHVMs are effective at mitigating the negative impacts of harvesting; and (3) our extensions of Hadoop and FaaS successfully hide the MHVMs' varying memory size from the users' data-processing jobs and functions. We conclude that memory harvesting has great potential for practical deployment and users can save up to 93% of their costs when running workloads on MHVMs. CCS CONCEPTS• Computer systems organization → Cloud computing.

show abstract

Application Virtualization: An Agent Encapsulation of Software in Virtual Machines to Archive the Execution Performance in Hosts

Liang

Dai

2021

2021 IEEE Intl Conf on Parallel &Amp; Distributed Processing With Applications, Big Data &Amp; Cloud Computing, Sustainable Com

View full text Add to dashboard Cite

virtio-mem: paravirtualized memory hot(un)plug

Cited by 6 publications

References 15 publications

A Comprehensive Survey on the Use of Hypervisors in Safety-Critical Systems

A Comprehensive Survey on the Use of Hypervisors in Safety-Critical Systems

Memory-harvesting VMs in cloud platforms

Application Virtualization: An Agent Encapsulation of Software in Virtual Machines to Archive the Execution Performance in Hosts

Contact Info

Product

Resources

About