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About 1,146 papers for “cross-platform interoperability”

Cross-Platform Interoperability for Smart City Data

Thörn, Pontus · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2025

With the emergence of smart applications and Smart Cities, there has been a surge of data generation, data that can be leveraged for urban regeneration. This master’s thesis explores a potential solution for handling such data through the development of a unified data acquisition framework. The framework aims to enable data exchange across different platforms, supporting an interoperable future for Smart City data. This thesis presents the development of data models that, when integrated with the Yggio platform, are used to manage data for the GreenInCities project. These models are based on the Next Generation Service Interface for Linked Data (NGSI-LD). At the core of an NGSI-LD data model is the entity, which consists of both required and optional attributes. The results highlight both the strengths and limitations of the data models adapted for the GreenInCities project. While linked entities may enhance interoperability, the complexities of defining and managing entities can pose challenges. Similarly, the inclusion of optional attributes requires adaptation to specific circumstances. Nevertheless, these data models and how to create them provide a valuable foundation for future research and practical implementations aimed at achieving cross-platform interoperability in Smart City contexts.

Cited by 0Open access

Seeking the solution to cross-platform, cross-vendor data interoperability

Philip Neri · First Break · 2003

Philip Neri, integration solutions director, Paradigm looks at the issues in achieving multi-vendor data interoperability in oil and gas E&P operations and describes the integration framework which Paradigm has developed to resolve this longstanding problem

Cited by 0

Towards cross-platform interoperability for machine-assisted annotation

Eckart de Castilho, Richard, Ide, Nancy, Kim, Jin-Dong et al. · TUbilio (Technical University of Darmstadt) · 2019

In this paper we investigate cross-platform interoperability for natural language processing (NLP) and, in particular, annotation of textual resources, with an eye toward identifying the design elements of annotation models and processes that are particularly problematic for, or amenable to, enabling seam-less communication across different platforms. The study is conducted in the context of a specific annotation methodology,namely machine-assisted interactive annotation (also known as human-in-the-loop annotation). This methodology requires the ability to freely combine resources from different document repositories, access a wide array of NLP tools that automatically annotate corpora for various linguistic phenomena, and use a sophisticated annotation editor that enables interactive manual annotation coupled with on-the-fly machine learning. We consider three independently developed platforms, each of which utilizes a different model for representing annotations over text,and each of which performs a different role in the process.

Cited by 0

Programming language interoperability in cross-platform software development

Nguyen, Ha · Aaltodoc (Aalto University) · 2022

Recent years have witnessed the rising popularity of software that are constructed by combining various modules written in different programming languages. While the coexistence of multiple programming languages within the same codebase might bring certain benefits such as reusability and the ability to exploit the unique power of each language, this architecture certainly adds significant complexity to the development and maintenance process of such systems. This thesis proposes an approach to alleviate the pain of language interoperability in those systems by automating the binding code generation process between different languages. The proposed method uses the metadata extracted from the Interface Description Language (IDL) to systematically generate the Application Programming Interface (API) in each involved language. As a result, the code written in one language can seamlessly interact with code developed in others. The experiment results showed that the developed code generator has improved the stability, scalability, and modularity of multi-language software systems.

Cited by 0

Towards cross-platform interoperability for machine-assisted text annotation

Richard Eckart de Castilho, Nancy Ide, Jin-Dong Kim et al. · Genomics & Informatics · 2019

In this paper we investigate cross-platform interoperability for natural language processing (NLP) and, in particular, annotation of textual resources, with an eye toward identifying the design elements of annotation models and processes that are particularly problematic for, or amenable to, enabling seamless communication across different platforms. The study is conducted in the context of a specific annotation methodology, namely machine-assisted interactive annotation (also known as human-in-the-loop annotation). This methodology requires the ability to freely combine resources from different document repositories, access a wide array of NLP tools that automatically annotate corpora for various linguistic phenomena, and use a sophisticated annotation editor that enables interactive manual annotation coupled with on-the-fly machine learning. We consider three independently developed platforms, each of which utilizes a different model for representing annotations over text, and each of which performs a different role in the process.

Cited by 5Open access

Towards Establishing Cross-Platform Interoperability for Sensors in Smart Cities

Kanishk Chaturvedi, Thomas H. Kolbe · Sensors · 2019

Typically, smart city projects involve complex distributed systems having multiple stakeholders and diverse applications. These applications involve a multitude of sensor and IoT platforms for managing different types of timeseries observations. In many scenarios, timeseries data is the result of specific simulations and is stored in databases and even simple files. To make well-informed decisions, it is essential to have a proper data integration strategy, which must allow working with heterogeneous data sources and platforms in interoperable ways. In this paper, we present a new lightweight web service called InterSensor Service allowing to simply connect to multiple IoT platforms, simulation specific data, databases, and simple files and retrieving their observations without worrying about data storage and the multitude of different APIs. The service encodes these observations “on-the-fly” according to the standardized external interfaces such as the OGC Sensor Observation Service and OGC SensorThings API. In this way, the heterogeneous observations can be analyzed and visualized in a unified way. The service can be deployed not only by the users to connect to different sources but also by providers and stakeholders to simply add further interfaces to their platforms realizing interoperability according to international standards. We have developed a Java-based implementation of the InterSensor Service, which is being offered free as open source software. The service is already being used in smart city projects and one application for the district Queen Elizabeth Olympic Park in London is shown in this paper.

Cited by 51Open access

Webhook Driven Cross Platform Docker Image Transfer: Achieving AWS-Azure Interoperability

Patel, Nikita Chhotelal · NORMA · 2023

Conventional ways of transferring Docker images between clouds may often result in inefficiency and complexity. To solve this, a Webhook-driven approach for fast and trustworthy docker image transfer was built by providing an integrated gateway between Amazon Web Services (AWS) and Microsoft Azure. This study was motivated by the need to overcome obstacles to ensuring seamless interoperability across these major cloud platforms. This demonstrates the utility of Webhook-powered cross-platform interoperability solutions. Implementation revealed significant advantages, with Webhooks increasing transfer speed and reliability, showing their potential to promote cross-platform interoperability. This study makes an important contribution to the continuing conversation about cloud integration by suggesting a feasible route towards the efficient and standardised deployment of cloud applications.

Cited by 0Open access

Agent-based MOM for interoperability cross-platform communication of SOA systems

Najhan Muhamad Ibrahim, Mohd Fadzil Hassan, Zain Balfagih · 2011

Demands for interoperability are getting increased since there are a lot of products available to provide the same functionality which have raised some heterogeneous issues. Various middleware technologies are often used as the communication infrastructure for distributed system to ensure the interoperability. However, different types of middleware have cause interoperability issues as well. One of the middleware architectures used for heterogeneous systems is MOM. Message Oriented Middleware (MOM) is known as common glue technology for heterogeneous, distributed and loosely coupled software system. In this paper we explore and analyze studies related to distributed communication using MOM architecture. We found that there are some weaknesses for MOM such as limited ability to link complex application, losing the trace of execution and low level of autonomous. To overcome these weaknesses, some researches have been done to extend MOM architecture. Most of these efforts are addressing one or two of the MOM limitations and not the general requirement of cross-platform communication such 24 by 7 environment, autonomous level, failure recovery and guaranteed transmission. In the end, we have proposed conceptual framework which is agent-based MOM for interoperability cross-platform communication of SOA system.

Cited by 6

Digital Twin Bus: Increasing Cross-Platform Interoperability of Digital Twin Platforms

Amering, Thomas · University Library Linz repository (Johannes Kepler Universitat Linz) · 2024

Emerging Digital Twin (DT) platforms, offered by vendors such as Microsoft Azure or Amazon AWS, play a key role in facilitating the development and administration of DTs. However, each of these platforms currently still uses its own dedicated data formats and communication protocols, which hinders cross-platform interoperability. This missing interoperability implies high manual effort for interacting with DTs hosted on different platforms. Thus, the goal of this thesis is to evaluate how the interoperability of different DT platforms from various software vendors can be increased. In order to reduce this effort and increase the interoperability between various DT platforms, we propose the Digital Twin Bus (DTB). The DTB aims to support the handling of DTs and additional external services that run on various platforms by providing a central communication and management interface. To assess the efficacy of the proposed DTB solution, a case study is conducted, comparing its performance against a baseline approach. The results of the case study show that the proposed DTB solution is an appropriate solution for increasing the interoperability of DT platforms. Key benefits include the management of DTs hosted on different DT platforms, the availability of reusable code that requires no additional implementation effort, and the ability to connect multiple external services efficiently.

Cited by 0Open access

Access Control Framework for Cross-Platform Interoperability in the Industrial Internet of Things

Jahoon Koo, Giluk Kang, Young‐Gab Kim · IEEE Transactions on Industrial Informatics · 2024

The rapid advancement of the industrial Internet of things (IIoTs) has facilitated the development of diverse platforms and management technologies. However, the lack of standardized protocols and interoperability between platforms developed by various organizations hinders seamless integration. These limitations represent the primary challenge in access control between different IIoT platforms, resulting in limited service utilization across heterogeneous platforms. This study addresses the challenges of effectively sharing user attributes and representations for access control between heterogeneous IIoT platforms using blockchain and a metadata registry (MDR). Utilizing blockchain ensures tamper-proof and transparent attribute sharing, whereas the MDR facilitates the accurate mapping of user attributes for cross-platform resource access control. We demonstrated the feasibility of the proposed framework by successfully implementing access control between two representative standard platforms, namely oneM2M and FIWARE. Our results indicate that enhancing service utilization through access control between heterogeneous IIoT platforms can improve security and efficiency across various industries.

Cited by 5

Detecting Presence Of Malicious Hub in MIMI Protocol for Cross-Platform Messaging Interoperability

Harditya Sarvaiya, Eric Burger · 2025

The IETF More Instant Messaging Interoperability (MIMI) protocol enables interoperable group messaging across otherwise isolated services such as WhatsApp, Signal, and Telegram. It routes every Messaging Layer Security (MLS) ciphertext through a central hub that timestamps the message and broadcasts it to all group participants. If the hub is compromised, it can silently drop, delay, or reorder messages, undermining order integrity while leaving end-to-end encryption intact.We introduce a lightweight, Merkle-tree-based audit layer that allows clients to detect such misbehavior. Each client stores every received message together with its hub-assigned timestamp in an ordered list. Clients periodically generate a Merkle proof from this list and broadcast it by embedding the proof in an encrypted application message. Because the hub cannot predict which messages carry proofs, it cannot selectively discard them. Upon receiving a proof, other clients verify it and broadcast their own proofs. Any inconsistency is then propagated to the entire room, creating a non-repudiable record of hub misconduct.A Rust prototype built on OpenMLS was evaluated on a 100-node emulated network. With a client sampling rate of 5%, and a hub attack probability of 10%, the scheme detected 95% of message-drop or reordering attacks within the first 40 messages, consumed only 3kB of additional memory per client, and required less than 1ms of client-side processing per proof. The audit’s memory requirement grows linearly with room size and requires no changes to the hub protocol, providing a practical, low-overhead path to verifiable message-order integrity in large interoperable messaging systems.

Cited by 0

Detecting presence Of Malicious Hub in MIMI Protocol for Cross-Platform Messaging Interoperability

Sarvaiya, Harditya Ketan · VTechWorks (Virginia Tech) · 2025

The More Instant Messaging Interoperability (MIMI) protocol enables interoperable group messaging across otherwise isolated services such as WhatsApp, Signal, and Telegram. It routes every Messaging Layer Security (MLS) ciphertext through a central hub that timestamps the message and broadcasts it to all group participants. If the hub is compromised, it can silently drop, delay, or reorder messages, undermining order integrity while leaving end-to-end encryption intact. We introduce a lightweight, Merkle-tree-based audit layer that allows clients to detect such misbehavior. Each client stores every received message together with its hub-assigned timestamp in an ordered list. Clients periodically generate a Merkle proof from this list and broadcast it by embedding the proof in an encrypted application message. Because the hub cannot predict which messages carry proofs, it cannot selectively discard them. Upon receiving a proof, other clients verify it and broadcast their own proofs. Any inconsistency is then propagated to the entire room, creating a non-repudiable record of hub misconduct. A Rust prototype built on OpenMLS was evaluated on a 100-node emulated network. With a client sampling rate of 5%, and a hub attack probability of 10%, the scheme detected 95% of message-drop or reordering attacks within the first 40 messages, consumed only 3 kB of additional memory per client, and required less than 1 ms of client-side processing per proof. The audit's memory requirement grows linearly with room size and requires no changes to the hub protocol, providing a practical, low-overhead path to verifiable message-order integrity in large interoperable messaging systems.

Cited by 0

Interoperability of time series cytometric data: A cross platform approach for modeling tumor heterogeneity

Imtiaz Khan, Monica Lupi, Lee Ann Campbell et al. · Cytometry Part A · 2011

The cell cycle, with its highly conserved features, is a fundamental driver for the temporal control of cell proliferation-while abnormal control and modulation of the cell cycle are characteristic of tumor cells. The principal aim in cancer biology is to seek an understanding of the origin and nature of innate and acquired heterogeneity at the cellular level, driven principally by temporal and functional asynchrony. A major bottleneck when mathematically modeling these biological systems is the lack of interlinked structured experimental data. This often results in the in silico models failing to translate the specific hypothesis into parameterized terms that enable robust validation and hence would produce suitable prediction tools rather than just simulation tools. The focus has been on linking data originating from different cytometric platforms and cell-based event analysis to inform and constrain the input parameters of a compartmental cell cycle model, hence partly measuring and deconvolving cell cycle heterogeneity within a tumor population. Our work has addressed the concept that the interoperability of cytometric data, derived from different cytometry platforms, can complement as well as enhance cellular parameters space, thus providing a more broader and in-depth view of the cellular systems. The initial aim was to enable the cell cycle model to deliver an improved integrated simulation of the well-defined and constrained biological system. From a modeling perspective, such a cross platform approach has provided a paradigm shift from conventional cross-validation approaches, and from a bioinformatics perspective, novel computational methodology has been introduced for integrating and mapping continuous data with cross-sectional data. This establishes the foundation for developing predictive models and in silico tracking and prediction of tumor progression

Cited by 13Open access