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Daniel Turull

Publications and source records attributed to Daniel Turull.

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On Measuring Available Capacity in High-speed Cloud Networks

Measurement of available path capacity with high accuracy over high-speed links deployed in cloud and transport networks is vital for performance assessment and traffic engineering. Methods for measuring the available path capacity rely on sending and receiving time stamped probe packets. A requirement for accurate estimates of the available path capacity is the ability to generate probe packets at a desired rate and also time stamping with high precision and accuracy. This is challenging especially for measurement systems deployed using general purpose hardware. To touch upon the challenge this paper describes and evaluates four approaches for sending and receiving probe packets in high-speed networks (10+ Gbps). The evaluation shows that the baseline approach, based on the native UDP socket, is suitable for available path capacity measurements over links with capacities up to 2.5 Gbps. For higher capacities we show that an implementation based on Data Plane Development Kit (DPDK) gives good results up to 10 Gbps.

cs.NI

Nefele: Process Orchestration for the Cloud

Virtualization, either at OS- or hardware level, plays an important role in cloud computing. It enables easier automation and faster deployment in distributed environments. While virtualized infrastructures provide a level of management flexibility, they lack practical abstraction of the distributed resources. A developer in such an environment still needs to deal with all the complications of building a distributed software system. Different orchestration systems are built to provide that abstraction; however, they do not solve the inherent challenges of distributed systems, such as synchronization issues or resilience to failures. This paper introduces Nefele, a decentralized process orchestration system that automatically deploys and manages individual processes, rather than containers/VMs, within a cluster. Nefele is inspired by the Single System Image (SSI) vision of mitigating the intricacies of remote execution, yet it maintains the flexibility and performance of virtualized infrastructures. Nefele offers a set of APIs for building cloud-native applications that lets the developer easily build, deploy, and scale applications in a cloud environment. We have implemented and deployed Nefele on a cluster in our datacenter and evaluated its performance. Our evaluations show that Nefele can effectively deploy, scale, and monitor processes across a distributed environment, while it incorporates essential primitives to build a distributed software system.

cs.DC