Serving at the Edge: An Edge Computing Service Architecture Based on ICN

Different from cloud computing, edge computing moves computing away from the centralized data center and closer to the end-user. Therefore, with the large-scale deployment of edge services, it becomes a new challenge of how to dynamically select the appropriate edge server for computing requesters based on the edge server and network status. In the TCP/IP architecture, edge computing applications rely on centralized proxy servers to select an appropriate edge server, which leads to additional network overhead and increases service response latency. Due to its powerful forwarding plane, Information-Centric Networking (ICN) has the potential to provide more efficient networking support for edge computing than TCP/IP. However, traditional ICN only addresses named data and cannot well support the handle of dynamic content. In this article, we propose an edge computing service architecture based on ICN, which contains the edge computing service session model, service request forwarding strategies, and service dynamic deployment mechanism. The proposed service session model can not only keep the overhead low but also push the results to the computing requester immediately once the computing is completed. However, the service request forwarding strategies can forward computing requests to an appropriate edge server in a distributed manner. Compared with the TCP/IP-based proxy solution, our forwarding strategy can avoid unnecessary network transmissions, thereby reducing the service completion time. Moreover, the service dynamic deployment mechanism decides whether to deploy an edge service on an edge server based on service popularity, so that edge services can be dynamically deployed to hotspot, further reducing the service completion time.

Ambient intelligence governance review: from service-oriented to self-service

The current generation of connected devices and the Internet of Things augment people’s capabilities through ambient intelligence. Ambient Intelligence (AmI) support systems contain applications consuming available services in the environment to serve users. A well-known design of these applications follows a service architecture style and implement artificial intelligence mechanisms to maintain an awareness of the context: The service architecture style enables the distribution of capabilities and facilitates interoperability. Intelligence and context-awareness provide an adaptation of the environment to improve the interaction. Smart objects in distributed deployments and the increasing machine awareness of devices and people context also lead us to architectures, including self-governed policies providing self-service. We have systematically reviewed and analyzed ambient system governance considering service-oriented architecture (SOA) as a reference model. We applied a systematic mapping process obtaining 198 papers for screening (out of 712 obtained after conducting searches in research databases). We then reviewed and categorized 68 papers related to 48 research projects selected by fulfilling ambient intelligence and SOA principles and concepts. This paper presents the result of our analysis, including the existing governance designs, the distribution of adopted characteristics, and the trend to incorporate service in the context-aware process. We also discuss the identified challenges and analyze research directions.

Web-Based Modernized Architecture Over Cloud Computing for Facial Extraction and Recognition

Web content is diverse and is regarded as the primary source of accessible information that can be accessed through reference links. Web facial images are one type of web content that relates to important web pages and is considered important information for individuals. This chapter proposes face recognition as a service architecture that is based on real-world images from the web. The proposed service is implemented as a service for other third parties via cloud computing; additionally, its architecture is built via cloud using virtual machines that can be expanded based on resource demands. Web crawlers crawl web pages and retrieve images for elastic cloud storage. The collected images are then used to remove human faces and prepare the face images for identification and identifying the matched face of the set through successive phases. This chapter used PCA for features extraction and KNN for identification. Experiments show that increasing the number of crawler instances improves crawling speed and improves face recognition accuracy by preferring Euclidean over other metrics.

Software Architecture of an Automated Greenhouse Complex based on Cloud Technologies

To grow crops in greenhouse complexes, it is necessary to maintain the microclimatic conditions required for these crops and monitor them. Automation of these processes is an urgent task, and for its solution it is necessary to use both hardware and software. The paper proposes a cloud service architecture for managing robotic vertical farms, which allows for reliable two-way data transfer between the greenhouse modules and the operator and can be used for growing crops both in vertical hydroponic installations and in single-level greenhouses of greenhouses. The business processes are described that allow you to understand and evaluate the principles of organizing monitoring and management of cultivation. On the basis of the developed architecture, software has been implemented, which has been tested in the tasks of managing the greenhouse complex and obtaining data on the microclimate. Thanks to the use of wireless networks, the absence of restrictions on the type and location of modules, duplication of functionality and data replication, such a system can be considered flexible in use and scalable.

DEVELOPING A COMMON HIGH-LEVEL ARCHITECTURE FOR A DIGITAL PERSONALIZED NUTRITION SERVICE AS A COMPETITIVE ADVANTAGE IN A CORONAVIRUS PANDEMIC

The article discusses theoretical issues related to the opportunities for the implementation and use of digital services for personalized nutrition in the COVID-19 pandemic. The author considers current problems of the Russian grocery retail market and current trends in changing consumer preferences. The advantages of retailers’ focus on meeting customers’ needs for personalized and healthy eating are described. A variant of personalized nutrition digital service architecture is developed and presented, architectural components are characterized, and classification of data sources for personalized nutrition plans is given. We have made a conclusion about the possibilities for food retailers to gain competitive advantages by implementing digital services for personalized nutrition.

PERANCANGAN ENTERPRISE ARCHITECTURE LAYANAN SPBE (E-GOVERNMENT) DI LINGKUNGAN PEMKAB SUKABUMI

To increase the Electronic-Based Government System (SPBE) maturity level and comply with Presidential Regulation no. 95 of 2018, the Sukabumi Regency Government needs to standardize the SPBE design to be implemented appropriately integrated with utilizing technological advances optimally. One of the frameworks used to design the SPBE architecture is using the Enterprise Architecture (EA). EA aims to meet the gap between the needs of stakeholders and the availability of government administration services. The journal's focus on the design of this SPBE EA is on the SPBE Service Domain in the Electronic-Based Government Administration Service. The design is carried out using a combination of references to the SPBE Presidential Regulation and the National SPBE Master Plan Attachment and one of the main components of the EA framework, namely TOGAF ADM. This design produces an output in the form of an Electronic-Based Government Administration Service Catalog. It is expected to be used as a reference in developing technology in the Regency Government Sukabumi both from practical contributions and academic contributions. Keywords: Enterprise Architecture; Service Architecture; SPBE; TOGAF ADM Abstrak: Dalam rangka meningkatkan tingkat kematangan Sistem Pemerintah Berbasis Elektronik (SPBE) dan mematuhi Peraturan Presiden No. 95 Tahun 2018, Pemerintah Kabupaten Sukabumi perlu melakukan standarisasi terhadap perancangan SPBE agar dapat terimplementasi dan terintegrasi dengan baik dalam memanfaatkan kemajuan teknologi secara optimal. Salah satu kerangka kerja yang bisa digunakan untuk merancang Arsitektur SPBE yaitu menggunakan Enterprise Architecture (EA). EA bertujuan untuk memenuhi kesenjangan antara kebutuhan pemangku kepentingan dengan ketersediaan layanan administrasi pemerintahan. Fokus jurnal pada perancangan EA SPBE ini yaitu pada Domain Layanan SPBE di bagian Layanan Administrasi Pemerintahan Berbasis Elektronik. Perancangan yang dilakukan memanfaatkan kombinasi antara referensi pada Perpres SPBE dan Lampiran Rencana Induk SPBE Nasional serta salah satu komponen utama framework EA yaitu TOGAF ADM. Perancangan ini menghasilkan keluaran berupa Katalog Layanan Administrasi Pemerintahan Berbasis Elektronik dan diharapkan dapat dijadikan sebagai acuan dalam melakukan pengembangan teknologi di Pemkab. Sukabumi baik dari kontribusi praktis maupun kontribusi akademik. Kata kunci: Arsitektur Layanan; Enterprise Architecture; SPBE; TOGAF ADM

DCC Terminology Service—An Automated CI/CD Pipeline for Converting Clinical and Biomedical Terminologies in Graph Format for the Swiss Personalized Health Network

One goal of the Swiss Personalized Health Network (SPHN) is to provide an infrastructure for FAIR (Findable, Accessible, Interoperable and Reusable) health-related data for research purposes. Semantic web technology and biomedical terminologies are key to achieving semantic interoperability. To enable the integrative use of different terminologies, a terminology service is a important component of the SPHN Infrastructure for FAIR data. It provides both the current and historical versions of the terminologies in an SPHN-compliant graph format. To minimize the usually high maintenance effort of a terminology service, we developed an automated CI/CD pipeline for converting clinical and biomedical terminologies in an SPHN-compatible way. Hospitals, research infrastructure providers, as well as any other data providers, can download a terminology bundle (currently composed of SNOMED CT, LOINC, UCUM, ATC, ICD-10-GM, and CHOP) and deploy it in their local terminology service. The distributed service architecture allows each party to fulfill their local IT and security requirements, while still having an up-to-date interoperable stack of SPHN-compliant terminologies. In the future, more terminologies and mappings will be added to the terminology service according to the needs of the SPHN community.