Middleware For Internet Research Articles

Osmotic Message-Oriented Middleware for Internet of Things

In this paper will be addressing the managed operation of entities at various infrastructures to assist the automated orchestration of Internet of Things services which is a major challenge connected to the practical implementation of IoT. This concept is described to as “osmotic provisioning orchestration” which is basically the monitoring, automation, and orchestration principles so it can oversee the osmotic ecosystem. we will show in this paper the architectural design of an osmotic orchestrator tackling this challenge depending on trending protocols and technologies. the solution proposed will integrate will trending technologies like the cloud computing, with other more recent technologies like edge computing, osmotic computing, and osmotic provisioning. In addition, we will propose a prototype of the architecture that has been created using an open-source application and microservices technologies, taking into consideration the cloud and edge domains.

Osmotic Message-Oriented Middleware for Internet of Things

IoT is a trending computational concept that converts almost everything in modern life into a smart thing in various innovational and outstanding approaches. Smart homes, connected cities, autonomous vehicles, industrial automation, and smart healthcare that allows doctors to perform a patient examination and enable executing a remote surgery are now applicable through the smart connected things. Moreover, the recent IoT analytics report expects the universal number of connected IoT things to grow by 9%, to 12.3 billion operating terminals. It is expected that there will be more than 27 billion IoT live connections by 2025. In this paper, we present osmotic message-oriented middleware, introducing an end-to-end IoT platform to federate the dynamic orchestration process of resources across different heterogeneous types of devices belonging to physical and virtual infrastructures (e.g., edge, fog, and cloud layers); the orchestration process follows the osmotic computing concepts represented as the self-adaptive MAPE-K model, which maintains/adopts itself on the runtime through feedback loops from the provisioning engine, which collects the node’s hardware and software performance matrices. Accordingly, the orchestration process utilizes the optimized dynamic Hungarian algorithm to solve the MELs’ assignment problem based on the vibrant runtime provisioning data. The implemented middleware prototype is tested on both simulated and real-life environments to validate the architecture hypothesis of running an efficient, robust, elastic, and cost-efficient end-to-end osmotic IoT ecosystem, which unlocks a new implementation model for the IoT numerous domains.

Research on Application of wireless Communication System in Middleware of Internet of Things

With the popularization of mobile communication technology and Internet of things, wireless data transmission operation occupies an important position. Massive data generated by the Internet of things system is applied to the Internet of things system by wireless communication network and wireless resource management. Wireless network communication technology is the use of radio waves for data transmission, is a new type of communication information system, for the future development of communication system has established the direction. The wireless communication system is introduced into the middleware of the Internet of things system to improve the security and reliability of the Internet of things and ensure the timely and effective dissemination of information and data in the Internet of things system.

In.IoT—A New Middleware for Internet of Things

The evolution of Internet of Things (IoT) led to the construction of many IoT middleware, a software that plays a key role since it supports the communication among devices, users, and applications. Although various solutions and studies were proposed, they rarely address crucial privacy and security considerations, especially regarding the message queuing telemetry transport (MQTT) protocol. Moreover, in the majority of the solutions, integrating new devices is a time-consuming task performed manually that cannot be accomplished in a scenario with thousands, maybe millions of devices. In this sense, this article proposes a new IoT middleware, called In.IoT, a scalable, secure, and innovative middleware solution that addresses the middleware concerns identified in this article. In.IoT architectural recommendations and requirements are detailed and can be replicated by new and available solutions. It supports MQTT, CoAP, and HTTP as application-layer protocols. Its performance is evaluated in comparison with the most promising solutions available in the literature and the results obtained by the proposed solution are extremely promising. In.IoT is evaluated, demonstrated, validated, and it is ready and available for use.

Ontology-Defined Middleware for Internet of Things Architectures.

The Internet of Things scenario is composed of an amalgamation of physical devices. Those physical devices are heterogeneous in their nature both in terms of communication protocols and in data exchange formats. The Web of Things emerged as a homogenization layer that uses well-established web technologies and semantic web technologies to exchange data. Therefore, the Web of Things enables such physical devices to the web, they become Web Things. Given such a massive number of services and processes that the Internet of Things/Web of Things enables, it has become almost mandatory to describe their properties and characteristics. Several web ontologies and description frameworks are devoted to that purpose. Ontologies such as SOSA/SSN or OWL-S describe the Web Things and their procedures to sense or actuate. For example, OWL-S complements SOSA/SSN in describing the procedures used for sensing/actuating. It is, however, not its scope to be specific enough to enable a computer program to interpret and execute the defined flow of control. In this work, it is our goal to investigate how we can model those procedures using web ontologies in a manner that allows us to directly deploy the procedure implementation. A prototype implementation of the results of our research is implemented along with an analysis of several use cases to show the generality of our proposal.

Middleware for internet of things: an evaluation in a small-scale IoT environment

The internet of things (IoT) envisages an ultralarge-scale network of things, which will offer services to a large number of applications in numerous domains and environments. A middleware can ease application development by providing the necessary functional components for service registration, discovery and composition. Recently, there have been a large number of proposals for IoT middleware solutions, and a few recent studies have surveyed and qualitatively evaluated these IoT middleware proposals against a variety of functional features. This paper is an extension of these studies with an evaluation of four representative middlewares in a small-scale scenario to provide a more in-depth perspective of the state of the art with reference to the scale and heterogeneity of dynamic IoT environments. The results show a number of issues. Service registration, discovery and composition components still require human intervention. With such a large number of available services, these components need to be automated to enable fast deployment and adaptation of IoT applications. The scalability evaluation of new proposals should follow a holistic approach, as opposed to considering only individual components. Finally, support for user’s non-functional requirements is limited to best-effort QoS.

Middleware for Internet of Things: Survey and Challenges

AbstractThe Internet of things (IoT) applications span many potential fields. Furthermore, smart homes, smart cities, smart vehicular networks, and healthcare are very attractive and intelligent applications. In most of these applications, the system consists of smart objects that are equipped by sensors and Radio Frequency Identification (RFID) and may rely on other technological computing and paradigm solutions such as M2 M (machine to machine) computing, Wifi, Wimax, LTE, cloud computing, etc. Thus, the IoT vision foresees that we can shift from traditional sensor networks to pervasive systems, which deliver intelligent automation by running services on objects. Actually, a significant attention has been given to designing a middleware that supports many features; heterogeneity, mobility, scalability, multiplicity, and security. This papers reviews the-state-of-the-art techniques for IoT middleware systems and reveals an interesting classification for these systems into service and agent-oriented syste...

Middleware for Internet of Things: A Survey

The Internet of Things (IoT) envisages a future in which digital and physical things or objects (e.g., smartphones, TVs, cars) can be connected by means of suitable information and communication technologies, to enable a range of applications and services. The IoT's characteristics, including an ultra-large-scale network of things, device and network level heterogeneity, and large numbers of events generated spontaneously by these things, will make development of the diverse applications and services a very challenging task. In general, middleware can ease a development process by integrating heterogeneous computing and communications devices, and supporting interoperability within the diverse applications and services. Recently, there have been a number of proposals for IoT middleware. These proposals mostly addressed wireless sensor networks (WSNs), a key component of IoT, but do not consider RF identification (RFID), machine-to-machine (M2M) communications, and supervisory control and data acquisition (SCADA), other three core elements in the IoT vision. In this paper, we outline a set of requirements for IoT middleware, and present a comprehensive review of the existing middleware solutions against those requirements. In addition, open research issues, challenges, and future research directions are highlighted.

Aspect Oriented Middleware for Internet of Things: A State-of-the Art Survey of Service Discovery Approaches

Internet of Things refers to a paradigm consisting of a variety of uniquely identifiable day to day things communicating with one another to form a large scale dynamic network. The integration of these heterogeneous things in the constrained network is a challenging issue, for which service oriented and architecture based solutions are considered to be useful. The key element of any service oriented paradigm is service discovery which allows the client to get access to the right service at the right time to complete the requested tasks. This paper presented a comprehensive survey of major solutions for service and resource discovery detailing techniques and features used in existing systems. The survey presented the findings in tabular representation and outlined the proposed aspect oriented middleware framework for IoT highlighting context awareness and solving certain pitfalls in the existing service discovery approaches. The survey results might be helpful in deriving the limitations of the existing protocols in literature and identify future research opportunities in service discovery.

From virtualized resources to virtual computing grids: the In-VIGO system

This paper describes the architecture of the first implementation of the In-VIGO grid-computing system. The architecture is designed to support computational tools for engineering and science research In Virtual Information Grid Organizations (as opposed to in vivo or in vitro experimental research). A novel aspect of In-VIGO is the extensive use of virtualization technology, emerging standards for grid-computing and other Internet middleware. In the context of In-VIGO, virtualization denotes the ability of resources to support multiplexing, manifolding and polymorphism (i.e. to simultaneously appear as multiple resources with possibly different functionalities). Virtualization technologies are available or emerging for all the resources needed to construct virtual grids which would ideally inherit the above mentioned properties. In particular, these technologies enable the creation of dynamic pools of virtual resources that can be aggregated on-demand for application-specific user-specific grid-computing. This change in paradigm from building grids out of physical resources to constructing virtual grids has many advantages but also requires new thinking on how to architect, manage and optimize the necessary middleware. This paper reviews the motivation for In-VIGO approach, discusses the technologies used, describes an early architecture for In-VIGO that represents a first step towards the end goal of building virtual information grids, and reports on first experiences with the In-VIGO software under development.

High-capacity Internet middleware

Previous studies measuring the performance of general-purpose operating systems running large-scale Internet server applications, such as proxy caches, have identified design deficiencies that contribute to lower than expected performance and scalability. This paper introduces a high-capacity proxy cache service built upon a specialized operating system designed to efficiently support large-scale Internet middleware. It suggests that specialized operating systems can better meet the needs of these services than can their general-purpose counterparts. It concludes with the measured performance and scalability of this proxy cache service.

An object infrastructure for Internet middleware. IBM on Component Broker

Middleware covers a variety of rapidly evolving capabilities. It began as software to fill the gaps as industry moved first to client-server and then to multi-tier distributed systems. As monolithic software was broken up and dispersed across servers, it became necessary to reconnect capabilities, manage disparate resources and functions, and access information and functions from remote requesters. This resulted in a host of software offerings for the middle tier. Component Broker is Internet middleware for distributed objects. It is designed to absorb complexity in the operational and development environment so that applications appear to be transparent, local and fully resourced. Component Broker is a complete package, with everything a developer needs to build, run and manage Web-enabled business objects, components and applications.