Unikernels as Processes

Williams, Dan; Koller, Ricardo; Lucina, Martin; Prakash, Nikhil

doi:10.1145/3267809.3267845

Cited by 38 publications

(20 citation statements)

References 18 publications

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“…To strengthen and expand the capability of our framework, we plan on offloading non-virtualised EF. Unikernels do not actually require a virtual hardware abstraction; they can achieve similar levels of isolation when running as processes by taking advantage of existing kernel system call whitelisting mechanisms as demonstrated in [22]. This has the potential to make our system compatible with a larger range of devices and enable a much simpler integration of existing tools into our platform.…”

Section: Discussionmentioning

confidence: 99%

Edge Chaining Framework for Black Ice Road Fingerprinting

Cozzolino

Ding

Ott

2019

Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking

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Detecting and reacting efficiently to road condition hazards are challenging given practical restrictions such as limited data availability and lack of infrastructure support. In this paper, we present an edge-cloud chaining solution that bridges the cloud and road infrastructures to enhance road safety. We exploit the roadside infrastructure (e.g., smart lampposts) to form a processing chain at the edge nodes and transmit the essential context to approaching vehicles providing what we refer as road fingerprinting. We approach the problem from two angles: first we focus on semantically defining how an execution pipeline spanning edge and cloud is composed, then we design, implement and evaluate a working prototype based on our assumptions. In addition, we present experimental insights and outline open challenges for next steps. CCS Concepts • Computer systems organization → Distributed architectures; Embedded and cyber-physical systems.

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Section: Discussionmentioning

confidence: 99%

Edge Chaining Framework for Black Ice Road Fingerprinting

Cozzolino

Ding

Ott

2019

Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking

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“…To make it even more interesting, recent nding shows that Unikernels do not require a virtual hardware abstraction. It can directly run as a process by exploiting an existing kernel system that is called whitelisting mechanism (Williams et al 2018). Looking into the combination features of virtual machine and container in one single virtualization technology, we can hope for the be er multi-tenancy for work ow as a service platform using this technology.…”

Section: Multiple Workflows Scheduling In Multi-tenant Distributed Symentioning

confidence: 99%

Multiple Workflows Scheduling in Multi-tenant Distributed Systems

2020

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e work ow is a general notion representing the automated processes along with the ow of data. e automation ensures the processes being executed in the order. erefore, this feature a racts users from various background to build the work ow. However, the computational requirements are enormous and investing for a dedicated infrastructure for these work ows is not always feasible. To cater to the broader needs, multi-tenant platforms for executing work ows were began to be built. In this paper, we identify the problems and challenges in the multiple work ows scheduling that adhere to the platforms. We present a detailed taxonomy from the existing solutions on scheduling and resource provisioning aspects followed by the survey of relevant works in this area. We open up the problems and challenges to shove up the research on multiple work ows scheduling in multi-tenant distributed systems.

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“…A container, on the other hand, interacts with the host system via the kernel system call interface. There is a huge difference in the width of these interfaces: there are over 300 different system calls in Linux in contrast to the about twenty different hypercalls in the Xen hypervisor interface [83]. This makes it much easier to monitor and control the hypercalls in a VM compared to the systems calls in a container-based platform.…”

Section: Security Aspectsmentioning

confidence: 99%

A Blockchain-based Decentralized Electronic Marketplace for Computing Resources

et al. 2020

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We propose a framework for building a decentralized electronic marketplace for computing resources. The idea is that anyone with spare capacities can offer them on this marketplace, opening up the cloud computing market to smaller players, thus creating a more competitive environment compared to today’s market consisting of a few large providers. Trust is a crucial component in making an anonymized decentralized marketplace a reality. We develop protocols that enable participants to interact with each other in a fair way and show how these protocols can be implemented using smart contracts and blockchains. We discuss and evaluate our framework not only from a technical point of view, but also look at the wider context in terms of fair interactions and legal implications.

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Unikernels as Processes

Cited by 38 publications

References 18 publications

Edge Chaining Framework for Black Ice Road Fingerprinting

Edge Chaining Framework for Black Ice Road Fingerprinting

Multiple Workflows Scheduling in Multi-tenant Distributed Systems

A Blockchain-based Decentralized Electronic Marketplace for Computing Resources

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