Osmotic Computing: A New Paradigm for Edge/Cloud Integration

Villari, Massimo; Fazio, Maria; Dustdar, Schahram; Rana, Omer F.; Ranjan, Rajiv

doi:10.1109/mcc.2016.124

Cited by 313 publications

(157 citation statements)

References 22 publications

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“…Osmotic computing has been introduced by defining a middleware layer of abstraction over edge and fog computing and IoT, which federates and integrates such a diverse ecosystems …”

Section: Related Workmentioning

confidence: 99%

“…The emerging paradigm of osmotic computing proposes an integration among edge, fog, cloud, and MSAs. The term osmotic has been borrowed from chemistry, ie, solvent molecules move into a region of higher solute concentration across a semipermeable membrane to equalize the solute concentrations.…”

Section: Introductionmentioning

confidence: 99%

“…This adds flexibility and self‐scalability to the system, which could autonomously distribute its microservices across different devices by intelligent machine learning (ML) algorithms. The osmotic ecosystem, as described in the work of Villari et al, spans both horizontally and vertically, and the movement of microservices and data across different layers or equal networks happens by software‐defined membranes (SDMs). Software‐defined membranes (often referred to by osmotic membranes) are an extra layer of the osmotic ecosystem, where specifically deployed microservices are in charge of controlling and filtering data flows as well as adding security capabilities.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An osmotic computing infrastructure for urban pollution monitoring

2019

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Summary Urban pollution control systems suffer from the presence of fixed stations in a greater number than mobile monitoring devices. Data gathered from such stations provide detailed and reliable information, thanks to equipment quality and effective measuring protocols, but these sampled data are gathered from very limited areas and through discontinuous monitoring campaigns. Fortunately, the spread of technologies for mobility has fostered the development of new approaches like mobile crowdsensing (MCS), increasing the chances of using mobile devices, even personal ones, as suitable sensors for the urban monitoring scenario. Nevertheless, one of the open challenges is the management of integrated heterogeneous data flows, differing in terms of typology, technical specifications (eg, transmission protocols), and semantics. The osmotic computing paradigm aims at creating an abstract level between mobile devices/Internet‐of‐Things devices and a cloud platform, which enables opportunistic filtering and the addition of metadata for improving the data processing flow. This work focuses on the design and development of a middleware that integrates data coming from mobile and Internet‐of‐Things devices specifically deployed in urban contexts using the osmotic computing paradigm. Moreover, a component of the osmotic membrane has been developed for security management.

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“…Osmotic computing has been introduced by defining a middleware layer of abstraction over edge and fog computing and IoT, which federates and integrates such a diverse ecosystems …”

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An osmotic computing infrastructure for urban pollution monitoring

2019

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“…Past projects are now complemented with a new wave of edge and fog computing projects, one of which is SWITCH addressing software engineering for IoT and Big Data and another ENTICE addressing advanced cloud computing storage solutions. Advanced new approaches, such as osmotic computing [42] have emerged. They advocate the composing applications from microservices and then executing them at the network edge.…”

Section: Dependability Requirementsmentioning

confidence: 99%

Supporting smart construction with dependable edge computing infrastructures and applications

Kochovski

Stankovski

2018

Automation in Construction

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The Internet of Things (IoT) such as the use of robots, sensors, actuators, electronic signalization and a variety of other Internet enabled physical devices may provide for new advanced smart applications to be used in construction in very near future. Such applications require real-time responses and are therefore time-critical. Therefore, in order to support collaboration, control, monitoring, supply management, safety and other construction processes, they have to meet dependability requirements, including requirements for high Quality of Service (QoS). Dependability and high QoS can be achieved by using adequate number and quality of computing resources, such as processing, memory and networking elements, geographically close to the smart environments. The goal of this study is to develop a practical edge computing architecture and design, which can be used in to support smart construction environments with high QoS. This study gives particular attention to the solution design, which relies on latest cloud and software engineering approaches and technologies, and provides elasticity, interoperability and adaptation to companies' specific needs. Two edge computing applications supporting video communications and construction process documentation are developed and demonstrate a viable edge computing design for smart construction.

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“…Osmotic computing [47] proposes a paradigm for the efficient execution of IoT services and application at the network edge. Its design concept is based on three tiers for application processing, namely, IoT devices, edge servers, and public/private cloud, as similar to other proposals.…”

Section: Iot Gatewaymentioning

confidence: 99%

Multi-access Edge Computing: A Survey

Tanaka

Yoshida

Möri

et al. 2018

Journal of Information Processing

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Multi-access Edge Computing (MEC) can be defined as a model for enabling business oriented, cloud computing platform within multiple types of the access network (e.g., LTE, 5G, WiFi, FTTH, etc.) at the close proximity of subscribers to serve delay sensitive, context aware applications. To pull out the most of the potential, MEC has to be designed as infrastructure, to support many kind of IoT applications and their eco system, in addition to sufficiently management mechanism. In this context, various research and standardization efforts are ongoing. This paper provides a comprehensive survey of the state-of-the-art research efforts on MEC domain, with focus on the architectural proposals as infrastracture, the issue of the partitioning of processing among the user devices, edge servers, and a cloud, and the issue of the resource management.

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Osmotic Computing: A New Paradigm for Edge/Cloud Integration

Cited by 313 publications

References 22 publications

An osmotic computing infrastructure for urban pollution monitoring

An osmotic computing infrastructure for urban pollution monitoring

Supporting smart construction with dependable edge computing infrastructures and applications

Multi-access Edge Computing: A Survey

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