Liquid Web Applications: ICWE2017 Tutorial

Gallidabino, Andrea; Mikkonen, Tommi; Mäkitalo, Niko; Pautasso, Cesare; Systä, Kari; Taivalsaari, Antero; Voutilainen, Jari-Pekka

doi:10.1007/978-3-319-74433-9_26

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…The term liquid software refers to the kind of software that can move between multiple devices in a seamless manner [14]. In the context of ECC, this can mean two things: either seamless migration and handover of software components between the nodes of the same type (which has been already demonstrated [12]), or seamless migration between devices of different types (which is currently only an idea [36]).…”

Section: Workload Placementmentioning

confidence: 99%

Towards Characterization of Edge-Cloud Continuum

Khalyeyev

Bureš

Hnětynka

2023

Lecture Notes in Computer Science

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Internet of Things and cloud computing are two technological paradigms that reached widespread adoption in recent years. These paradigms are complementary: IoT applications often rely on the computational resources of the cloud to process the data generated by IoT devices. The highly distributed nature of IoT applications and the giant amounts of data involved led to significant parts of computation being moved from the centralized cloud to the edge of the network. This gave rise to new hybrid paradigms, such as edge-cloud computing and fog computing. Recent advances in IoT hardware, combined with the continued increase in complexity and variability of the edge-cloud environment, led to an emergence of a new vision of edge-cloud continuum: the next step of integration between the IoT and the cloud, where software components can seamlessly move between the levels of computational hierarchy. However, as this concept is very new, there is still no established view of what exactly it entails. Several views on the future edge-cloud continuum have been proposed, each with its own set of requirements and expected characteristics. In order to move the discussion of this concept forward, these views need to be put into a coherent picture. In this paper, we provide a review and generalization of the existing literature on edge-cloud continuum, point out its expected features, and discuss the challenges that need to be addressed in order to bring about this envisioned environment for the next generation of smart distributed applications.

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Section: Workload Placementmentioning

confidence: 99%

Towards Characterization of Edge-Cloud Continuum

Khalyeyev

Bureš

Hnětynka

2023

Lecture Notes in Computer Science

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“…We predict that this evolution will ultimately lead the industry towards isomorphic IoT system architectures in which the same software packages can run in any computational element of the end-to-end system, regardless of their perceived simplicity or complexity. In such isomorphic systems, software packages may even be dynamically migrated from one computational element to another in order to optimize the tradeoffs between computing capabilities, network latencies, storage capacity and other factors, using various technologies [4]. We will discuss this topic in more detail in Section 5 after examining the architecture options.…”

Section: Iot Systems -The Big Picturementioning

confidence: 99%

Gateways to Heaven

Taivalsaari

Mikkonen

2019

Proceedings of the 17th International Conference on Advances in Mobile Computing &Amp; Multimedia

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The Internet of Things (IoT) enables connected devices that are an integral part of the physical world. The possibility to connect, manage, configure and dynamically reprogram remote devices through local and global cloud environments will open up a broad variety of new use cases, services, applications and device categories, and will enable entirely new product and application ecosystems as well. In this paper we discuss the software architecture options of IoT gateways as a follow-up to our earlier paper that defined a taxonomy of software architectures for IoT devices. We summarize several different software architecture options for IoT gateways. These options have a significant impact on the overall end-to-end architecture and topology of IoT systems, e.g., in determining how much computation can be performed on the edge of the network. Based on our observations and industry experiences we then make predictions on the future of gateway solutions and IoT systems more broadly. CCS CONCEPTS• Computer systems organization → Embedded systems; Distributed architectures; • Software and its engineering → Distributed systems organizing principles; Software architectures.

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“…code in order to fully exploit the available resources. In humancomputing interaction, liquid software is an existing concept [6] to let humans move application interfaces between devices. In distributed systems, agents are a related concept given the ability to let application logic migrate between nodes.…”

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confidence: 99%

Self-balancing architectures based on liquid functions across computing continuums

Spillner

2021

Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion

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Scalable application development is highly in uenced by two major trends -serverless computing and continuum computing. These trends have had little intersection, as most application architectures, even when following a microservices or function-based approach, are built around rather monolithic Function-as-a-Service engines that do not span continuums. Functions are thus separated codewise but not infrastructure-wise, as they continue to run on the same single platform they have been deployed to. Moreover, developing and deploying distributed applications remains non-trivial and is a hurdle for enhancing the capabilities of mobile and sensing domains. To overcome this limitation, the concept of self-balancing architectures is introduced in which liquid functions traverse cloud and edge/fog platforms in a continuum as needed, represented by the abstract notion of pressure relief valves based on resource capacities, function execution durations and optimisation preferences. With CoRFu, a reference implementation of a continuum-wide distributed Function-as-a-Service engine is introduced and combined with a dynamic function o oading framework. The implementation is validated with a sensor data inference and regression application. CCS CONCEPTS• Networks → Network experimentation; • Computing methodologies → Distributed computing methodologies; • Software and its engineering → Software performance.

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Liquid Web Applications: ICWE2017 Tutorial

Cited by 3 publications

References 3 publications

Towards Characterization of Edge-Cloud Continuum

Towards Characterization of Edge-Cloud Continuum

Gateways to Heaven

Self-balancing architectures based on liquid functions across computing continuums

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