Complexity Of Service Composition Research Articles

Enabling Intelligent IoCV Services at the Edge for 5G Networks and Beyond

The Fifth Generation (5G) communication technology has paved the way for intelligent and diversified Internet of Connected Vehicles (IoCV) services that meet stringent Quality of Service (QoS) requirements. Both Artificial Intelligence (AI) and Blockchain are playing and will continue to play an imperative role in providing secure and decentralized resource sharing to solve complex and time-sensitive problems at the edge. The integration of both those techniques will enhance the performance of smart vehicular services, especially in beyond 5G (B5G) networks. Ensuring secure transactions in complex autonomous network architectures is an immense challenge. This article addresses computational, storage, connectivity and intelligence concerns using a collaborative approach to engage multiple Internet of Things (IoT) nodes such as connected- vehicles, drones and mobile devices for the provisioning of QoS-optimal complex service compositions in autonomous mobile networks. Continuous and fast compositions emerge using decentralized decisions and interactions with diversified neighboring nodes with the aid of reinforcement learning. Blockchain is used to ensure that nodes interact with each other verifiably and record transactions without the need for trusted intermediaries. We assess whether having an AI-enabled blockchain collaborative composition solution improves service availability and delivery of smart city vehicular services.

Towards a secure and lightweight network function virtualisation environment

Cloud computing has deeply affected the structure of modern ICT infrastructures. It represents an enabling technology for novel paradigms such as Network Function Virtualisation (NFV), which proposes the virtualisation of network functions to enhance the flexibility of networks and to reduce the costs of infrastructure management. Besides potential benefits, NFV inherits the limitations of traditional virtualisation where the isolation of resources comes at the cost of a performance overhead. Lightweight forms of virtualisation, like containers, aim to mitigate this limitation. Furthermore, they allow the agile composition of complex services. These characteristics make containers a suitable technology for NFV environment. A major concern towards the exploitation of containers is security. Since containers provide less isolation than virtual machines, they can expose the whole host to vulnerabilities. In this work, we investigate container-related threats and propose a secure design for a Virtual Network Function deployed in a lightweight NFV environment.

Towards a secure and lightweight network function virtualisation environment

Cloud computing has deeply affected the structure of modern ICT infrastructures. It represents an enabling technology for novel paradigms such as Network Function Virtualisation (NFV), which proposes the virtualisation of network functions to enhance the flexibility of networks and to reduce the costs of infrastructure management. Besides potential benefits, NFV inherits the limitations of traditional virtualisation where the isolation of resources comes at the cost of a performance overhead. Lightweight forms of virtualisation, like containers, aim to mitigate this limitation. Furthermore, they allow the agile composition of complex services. These characteristics make containers a suitable technology for NFV environment. A major concern towards the exploitation of containers is security. Since containers provide less isolation than virtual machines, they can expose the whole host to vulnerabilities. In this work, we investigate container-related threats and propose a secure design for a Virtual Network Function deployed in a lightweight NFV environment.

Cloud Manufacturing Service Composition Optimization with Improved Genetic Algorithm

Aiming at the problems in which there exists collocation between services and manufacturing tasks, multiobjective cloud manufacturing service composition optimization seldom considers the synergy degree of composite cloud services and the complexity of service composition, so a novel service composition optimization approach, called improved genetic algorithm based on entropy (IGABE), is put forward. First, the mathematical expressions of service collocation degree, composition synergy degree, composition entropy, and their related influence factors of the service composition are analyzed, and their definitions and calculation methods are given. Then, a multiobjective cloud manufacturing service composition optimization mathematical model is established. Moreover, crossover and mutation operators are improved by introducing normal cloud model theory and piecewise function, and improved roulette selection method is used to perform the selection operation. And the fitness function of the proposed IGABE is designed by combining Euclidean deviation with angular deviation. Finally, the manufacturing task of a wheeled cleaning robot is exemplified to verify the correctness of the proposed multiobjective optimization model for cloud manufacturing service composition and the effectiveness of the proposed algorithm, compared with Standard Genetic Algorithm (SGA), Hybrid Genetic Algorithm (HGA), and Cloud-entropy Enhanced Genetic Algorithm (CEGA). The studied results show that IGABE converges faster than SGA and HGA and can analyze and reflect the content difference expressed by the objective functions of service composition scheme and its approximation degree to the corresponding dimensions of the ideal point vector more comprehensively than CEGA. As such, the optimal service composition obtained by IGABE algorithm can better meet the complex needs of users.

Middleware, framework and novel computing models for grid and cloud service orchestration

Highly scalable, resilient commodity hardware along with the availability of huge amounts of data allow consumers and companies to access to a wide range of high-value services through a pay-per-use, pay-as-you-go model. The increasing need for intelligent services at large scale is bringing providers to optimise the use of resources in order to meet the increasing web-scale demand. Programming models are evolving to address the high complexity of service composition, which need resiliency and efficiency. Algorithms and technologies for intelligent orchestration allow multiple owners of cloud and grid infrastructures to satisfy customer requirements and business constraints. We assist in the development of new architectures, frameworks, middlewares and computing models, as well as innovative applications, aimed at supporting scientists and business analysts in the development of unified computing frameworks and data analysis at large scale. This paper summarises a number of contributions given in the area of distributed cloud and grid computing, with particular emphasis on service orchestrations and emergent applications for high-value services.

Automatic Construction of Service Network based on OpenCyc

With the advent of Web Services, the software industry is evolving from developing specific functionality from scratch to reusing functionalities off the shelf. However, a major limitation of Web Services is that manual efforts are required in the functionality reuse. Thus, Service Network is proposed as an infrastructure that allows users to discover, deploy, synthesize and compose Web Services automatically. Nevertheless, the construction of Service Network suffers from the lack of domain ontologies. Based on OpenCyc, this paper presents an approach for the automatic construction of Service Network. In particular, the authors concentrate on two fundamental concepts in Service Network, including the service semantics and the association semantics. With the semantic support of OpenCyc, the service semantics is generated by augmenting the semantics of services, and the association semantics is acquired by identifying the association relations among services. And then a case study of service composition is presented to demonstrate how Service Network facilitates the functionality reuse. It is suggested that Service Network not only can effectively generate a composite service, but also can reduce the complexity of service composition.

An Approach for Composing Services Based on Environment Ontology

Service-oriented computing is revolutionizing the modern computing paradigms with its aim to boost software reuse and enable business agility. Under this paradigm, new services are fabricated by composing available services. The problem arises as how to effectively and efficiently compose heterogeneous services facing the high complexity of service composition. Based on environment ontology, this paper introduces a requirement-driven service composition approach. We propose the algorithms to decompose the requirement, the rules to deduct the relation between services, and the algorithm for composing service. The empirical results and the comparison with other services’ composition methodologies show that this approach is feasible and efficient.

CLARA: A Contemporary Approach to Physics Data Processing

CLARA (CLAS12 Reconstruction and Analysis framework) is CLAS12 physics data processing (PDP) application development framework based on a service oriented architecture (SOA). This framework allows users to design and deploy data processing services as well as dynamically compose PDP applications using available services. Services can be written in Java, C++, and Python languages. The PDP service bus provides a layer on top of a distributed pub-sub middleware implementation. This allows complex service composition and integration without writing a code. We believe that by deviating from the traditional self contained, monolithic PDP application models we can improve maintenance, scalability and quality of physics data analysis. The SOA approach also helps us to separate a specific service programmer from a PDP application designer. Examples of service creation and deployment, along with the CLAS12 track reconstruction application design are presented.

Ontology-driven service composition for end-users

Current service composition techniques and tools are mainly designed for use by Service-Oriented Architecture (SOA) professionals to solve business problems. Little attention has been paid to allowing end-users without sufficient service composition skills to compose services and integrate SOA solutions into their online experience to fulfill their daily activities. To shelter end-users from the complexity of service composition, we propose an approach which can compose services on the fly to meet the situational needs of end-users. We present a tag-based service description schema which allows non-IT professional users to easily understand the description of services and add their own descriptions using descriptive tags. Instead of requiring end-users to specify detailed steps for composition, the end-users only need to describe their goals using a few keywords. Our approach expands the meaning of a user's goal using ontologies then derives a group of keywords to discover services in order to fulfill the goal. A prototype is developed as a proof of concept to show that our approach enables end-users to discover and compose services easily. We conduct a case study to evaluate the effectiveness of our approach that eases end-users to compose services without the knowledge of SOA technologies. The results of our case study show that our approach can effectively generate ad-hoc processes and discover services with relatively high precision and recall.

End-User Service Computing: Spreadsheets as a Service Composition Tool

In this paper, we show how spreadsheets, an end-user development paradigm proven to be highly productive and simple to learn and use, can be used for complex service compositions. We identify the requirements for spreadsheet-based service composition, and present our framework that implements these requirements. Our framework enables spreadsheets to send requests and retrieve results from various local and remote services. We show how our tools support different composition patterns, and how the style of declarative dependencies of spreadsheets can facilitate service composition. We also discuss novel issues identified by using the framework in several projects and education.

Mashing Up Search Services

Mashup languages offer new graphic interfaces for service composition. Normally, composition is limited to simple services, such as RSS or Atom feeds, but users can potentially use visual mashup languages for complex service compositions, with typed parameters and well-defined I/O interfaces. Composing search services introduces new issues, however, such as determining the optimal sequence of search invocations and separately composing ranked entries into a globally ranked result. Enabling end users to mash up services through suitable abstractions and tools is a viable option for improving service-based computations.