Holistic Service-Based Architecture for Space-Air-Ground Integrated Network for 5G-Advanced and Beyond

The Service-based Architecture(SBA) is one of the key innovations of 5G architecture that leverage modularized, self-contained and independent services to provide flexible and cloud-native 5G network. In this paper, SBA for Space-Air-Ground Integrated Network(SAGIN) is investigated to enable the 5G integration deployment. This paper proposes a novel Holistic Service-based Architecture(H-SBA)for SAGIN of 5G-Advanced and beyond, i.e., 6G. The H-SBA introduces the concept of end-to-end servicebased architecture design. The "Network Function Service", introduced in 5G SBA, is extended from Control Plane to User Plane, from core network to access network. Based on H-SBA, the new generation of protocol design is proposed, which proposes to use IETF QUIC and SRv6 to substitute 5G HTTP/2.0 and GTP-U. Testing results show that new protocols can achieve low latency and high throughput, making them promising candidate for H-SBA.

Crossing the Growth Threshold： Service-Based Economy, Knowledge Process and Reshaping of Efficiency Model

The transition from middle-income to high-income stage is fraught with risks of growth divergence.Economic transition is clouded by the following possibilities:(1) falling share of industrial sector through industrial depression and weakening growth momentum caused by the large urbanization costs;(2) the subordination of service sector as a result of nearly irreversibly industrial professional,which falters the process of service sector transition and upgrading;(3) inefficient knowledge production allocation and human capital upgrade due to the absence of incentivized compensation of knowledge consumption.We suggest that a country should reshape its efficiency model by upgrading knowledge factor and human capital as the pre-requisite.Given the dilemmas of transition,China should take the factorization trend of service sector and reshape efficiency model through institutional reform,ensuring that service sector will develop in tandem with industrial sector.

Understanding Requirement Engineering for Context-Aware Service-Based Applications

Requirements of software systems tend to change over time. The speed of this tendency depends on the application domain the software system under consideration belongs to. If we consider novel contexts such as pervasive systems and systems supporting dynamic B2B interaction, requirements change so fast that the research community is studying how to build systems that are able to self-adapt on the fly to some of these changes. When this happens, the system does not need to undergo through a new development cycle thus increasing its availability and, to a certain extent, its robustness. So far, the research in the area of self-adaptive systems has been focusing on the definition of the mechanisms for supporting self-adaptation. We argue that what is missing now is a structured and robust design process associated to these mechanisms. This design process should include a Requirement Engineering (RE) phase that somewhat differs from the traditional one. However, the identification of requirements for adaptation requires a good knowledge of the context in which the system will be executed. In this work, we consider the modeling of such context as part of the RE phase and we particularly focus on Service-Based Applications (SBAs). We argue that RE activities should be supported at run-time to handle context changes and to support adaptation for SBAs. We survey the state of the art for what concerns the elicitation, modeling, and analysis of requirements and will highlight some issues and challenges in order to support adaptation for SBAs.

Reliability Analysis of Cloud Service-Based Applications Through SRGM and NMSPN

Cloud service-based applications are subject to reliability critical problem,as the reliability of the application relies on both the failed states and the probabilities of the failures.Classically,reliability analysis approaches are lack of estimating unknown failure rate and non-exponentially distributed failure times.We propose a new framework for analyzing the reliability.The method is mainly decomposed in four successive steps:a non-Makovian stochastic Petri net(NMSPN)model which describes the failure behavior of underlying applications,a software reliability growth model(SRGM)which estimates the failure data of each basic service,a reachability graph which discoveries all the failure sequences,and a computation procedure which computes the occurrences of non-exponential failures.We assess and validate our method by conducting experiment on an actual application.The results demonstrate that the met hod is competitive compared to the existing approaches for reliability analysis,while providing a better reliability.This result is helpful to the managers in optimizing the overall quality of the cloud service-based application.

Cognitive Intelligence Based 6G Distributed Network Architecture

5G is envisioned to guarantee high transmission rate,ultra-low latency,high reliability and massive connections.To satisfy the above requirements,the 5G architecture is designed with the properties of using service-based architecture,cloud-native oriented,adopting IT-based API interfaces and introduction of the Network Repository Function.However,with the wide commercialization of 5G network and the exploration towards 6G,the 5G architecture exposes the disadvantages of high architecture complexity,difficult inter-interface communication,low cognitive capability,bad instantaneity,and deficient intelligence.To overcome these limitations,this paper investigates 6G network architecture,and proposes a cognitive intelligence based distributed 6G network architecture.This architecture consists of a physical network layer and an intelligent decision layer.The two layers coordinate through flexible service interfaces,supporting function decoupling and joint evolution of intelligence services and network services.With the above design,the proposed 6G architecture can be updated autonomously to deal with the future unpredicted complex services.

Ten Reflections on 5G

5G takes the concept of service-oriented architecture to replace the priority principle of network efficiency in the Internet to meet requirements of the industrial Internet and smart cities,such as high reliability and low latency.On the other hand,in order to adapt to the uncertainty of future business,5G features the openness of services and the Internet protocols,different from the closeness of traditional telecommunication networks.Although 5G tries to have the advantages of both the Internet and telecommunication network,its realization still faces many challenges.In this paper,ten major issues concerning 5G networking and service offering are discussed.

Assessments and diagnoses of aquatic ecosystem integrity based on integrity requirements of ecosystem service targets

This paper critically reviews the progress in ecosystem integrity(health)assessment of inland waters and provides future directions for assessment.Current biotic integrity assessments mainly use multimetric indices and predictive models to evaluate overall health status;the criteria largely rely on pristine reference sites,but such an approach is not applicable to unique natural waters and irreversibly modified waters.Biotic diagnostic assessments are still in the exploratory stage and can only diagnose possible stressor types and wide-ranges of their intensities through empirical models linking stressors and species-trait-indices.Current chemical integrity assessments mainly use criteria determined by small-scale ecotoxicity tests,rather than quantitative relationships developed between chemical factors and biotic effects in real ecosystems,thus potentially under or overestimating pollutant toxicity.Current physical integrity assessments focus on overall habitat quality,rather than quantitative habitat requirements,and thus cannot provide quantitative support for ecological restoration and conservation.Current hydrological integrity(environment flow)assessments largely depend on quantitative relationships between hydrological regimes with a few species and single groups,rather than with whole communities,and fail to comprehensively diagnose hydrological causes of biotic resource decline.In the future,integrity assessments need to be based on ecosystem integrity requirements of ecosystem service targets:first,there is a need to build quantitative relationships between biotic integrity and ecosystem services,assess requirements of community structure and function for service goals,and establish biotic integrity assessment methods;second,we must build quantitative relationships between biotic integrity and abiotic integrity in real ecosystems,assess chemical,physical,and hydrological integrity requirements of biotic needs,and establish diagnostic assessment methods.