Abstract. This article discusses the problem of data synchronization methods using MICROSERVICE architecture. MICROSERVICEs is a popular and widespread software architecture today. The article reviews three main ways of interaction of MICROSERVICEs. They are event-based communication, interaction through direct HTTP requests and messaging, and also highlights and analyzes their advantages and disadvantages. The main purpose of the article is to analyze and make offer of the optimal option for solving the problem of synchronizing interacting MICROSERVICEs in real time. The optimal solution involves using the Apache Kafka message broker. It publishes data streams and subscriptions to them, as well as stores and processes them. Mathematical modeling of the proposed data synchronization method was described by constructing its state macine, as well as a system of canonical equations.

The Internet of things has become an interesting area of research in the last few years due to its ability to make human life simple and easier. Quality of Services (QoS) has gained a lot of importance due to the increasing popularity of the technology. QoS metrics help the IoT users to understand and express their requirements for the selection of services provided by IoT. Researchers in this field have come up with different types of architectures to provide a better view and define all the functions of the technology. In this paper, we have defined a few of the architectures and QoS metrics related to these architectures.

MICROSERVICEs architecture's popularity is rapidly growing as it eases the design of enterprise applications by allowing independent development and deployment of services. Due to this paradigm shift in software development, many existing Service Oriented Architecture (SOA) applications are being migrated to MICROSERVICEs. Estimating the effort required for migration is a key challenge as it helps the architects in better planning and execution of the migration process. Since the designing style and deployment environments are different for each service, existing effort estimation models in the literature are not ideal for MICROSERVICE architecture. To estimate the effort required for migrating SOA application to MICROSERVICEs, we propose a new effort estimation model called Service Points. We define a formal model called service graph which represents the components of the service based architectures and their interactions among the services. Service graph provides the information required for the estimation process. We recast the use case points method and model it to become suitable for MICROSERVICEs architecture. We have updated the technical and environmental factors used for the effort estimation. The proposed approach is demonstrated by estimating the migration effort for a standard SOA based web application. The proposed model is compatible with the design principles of MICROSERVICEs and provides a systematic and formal way of estimating the effort. It helps software architects in better planning and execution of the migration process.

In recent years, attention to renewable energy and distributed generation has increased due to increased energy demand and environmental pollution. To this end, in the new power grid structure, consumers can also play a producer role. Considering that the number of prosumers in this structure is much more than traditional power networks, the need for a secure, transparent, fast, scalable platform for energy exchanges has greatly increased. Blockchain technology can provide such a platform due to its unique properties. Although there are many blockchain-based platforms in different countries in enregy field, but in Iran there is no such platform. Therefore, the main purpose of this paper is to design and implement a local pilot platform for peer-to-peer blockchain-based energy exchange, taking into account the specific conditions of Iran's electricity grid. The macro platform architecture is designed based on the concept of Minimum Viable Product (MVP) considering functional and non-functional requirements in the form of unified modeling language (UML) diagrams. The proposed platform pilot has been implemented in the form of 4 main elements including smart contract, user interface, blockchain platform, and blockchain and non-blockchain databases and has been evaluated and tested using different scenarios. These tests mainly include the unit test and the integrity test, which were successfully performed on the platform. This platform has been designed and implemented for the first time in Iran in accordance with the Ethereum protocol and based on MICROSERVICE architecture. In addition to the ability to integrate with Ethereum-based systems, this platform is scalable due to its modular design.