638 research outputs found
Rule-based monitoring and error detecting for converged telecommunication processes
Convergent process may be defined as a composition of services which integrates functionalities from Web and Telecommunication domains. However, during execution of convergent processes some services may fail; in such cases a reconfiguration process must be triggered to recover normal behaviour of composite process. Previous works have developed mechanisms for reducing reconfiguration time while initial restrictions are maintained; this is achieved by replacing regions of services instead of individual services. The present work presents an approach for monitoring and error detecting in convergent processes using rule production systems based on ITIL model. The approach was tested in the monitoring module of the AUTO framework, whose architecture and performance are discussed to show that this approach can efficiently detect errors and repair convergent processes in telecom environments
Comparing Drools and Ontology Reasoning Approaches for Automated Monitoring in Telecommunication Processes
AbstractAutomated reconfiguration is one of the crucial tasks in telecommunication service composition. The first step in reconfiguration is the monitoring phase. The problem of monitoring and error detection frequently appears in different telecommunications architectures. This article describes the main components of the architecture for monitoring module in AUTO framework. The monitoring approach is based on semantic technologies and ITIL framework. Equally, this paper presents an analysis and comparison of two approaches for the implementation of the module: Drools and semantic formalism. The results of this study may be applicable to other telecommunication domains
Towards automated composition of convergent services: a survey
A convergent service is defined as a service that exploits the convergence of communication networks and at the same time takes advantage of features of the Web. Nowadays, building up a convergent service is not trivial, because although there are significant approaches that aim to automate the service composition at different levels in the Web and Telecom domains, selecting the most appropriate approach for specific case studies is complex due to the big amount of involved information and the lack of technical considerations. Thus, in this paper, we identify the relevant phases for convergent service composition and explore the existing approaches and their associated technologies for automating each phase. For each technology, the maturity and results are analysed, as well as the elements that must be considered prior to their application in real scenarios. Furthermore, we provide research directions related to the convergent service composition phases
Towards automated composition of convergent services: A survey
A convergent service is defined as a service that exploits the convergence of
communication networks and at the same time takes advantage of features of
the Web. Nowadays, building up a convergent service is not trivial, because
although there are significant approaches that aim to automate the service
composition at different levels in the Web and Telecom domains, selecting
the most appropriate approach for specific case studies is complex due to
the big amount of involved information and the lack of technical considerations.
Thus, in this paper, we identify the relevant phases for convergent
service composition and explore the existing approaches and their associated
technologies for automating each phase. For each technology, the maturity
and results are analysed, as well as the elements that must be considered
prior to their application in real scenarios. Furthermore, we provide research
directions related to the convergent service composition phases
Middleware Technologies for Cloud of Things - a survey
The next wave of communication and applications rely on the new services
provided by Internet of Things which is becoming an important aspect in human
and machines future. The IoT services are a key solution for providing smart
environments in homes, buildings and cities. In the era of a massive number of
connected things and objects with a high grow rate, several challenges have
been raised such as management, aggregation and storage for big produced data.
In order to tackle some of these issues, cloud computing emerged to IoT as
Cloud of Things (CoT) which provides virtually unlimited cloud services to
enhance the large scale IoT platforms. There are several factors to be
considered in design and implementation of a CoT platform. One of the most
important and challenging problems is the heterogeneity of different objects.
This problem can be addressed by deploying suitable "Middleware". Middleware
sits between things and applications that make a reliable platform for
communication among things with different interfaces, operating systems, and
architectures. The main aim of this paper is to study the middleware
technologies for CoT. Toward this end, we first present the main features and
characteristics of middlewares. Next we study different architecture styles and
service domains. Then we presents several middlewares that are suitable for CoT
based platforms and lastly a list of current challenges and issues in design of
CoT based middlewares is discussed.Comment: http://www.sciencedirect.com/science/article/pii/S2352864817301268,
Digital Communications and Networks, Elsevier (2017
Middleware Technologies for Cloud of Things - a survey
The next wave of communication and applications rely on the new services
provided by Internet of Things which is becoming an important aspect in human
and machines future. The IoT services are a key solution for providing smart
environments in homes, buildings and cities. In the era of a massive number of
connected things and objects with a high grow rate, several challenges have
been raised such as management, aggregation and storage for big produced data.
In order to tackle some of these issues, cloud computing emerged to IoT as
Cloud of Things (CoT) which provides virtually unlimited cloud services to
enhance the large scale IoT platforms. There are several factors to be
considered in design and implementation of a CoT platform. One of the most
important and challenging problems is the heterogeneity of different objects.
This problem can be addressed by deploying suitable "Middleware". Middleware
sits between things and applications that make a reliable platform for
communication among things with different interfaces, operating systems, and
architectures. The main aim of this paper is to study the middleware
technologies for CoT. Toward this end, we first present the main features and
characteristics of middlewares. Next we study different architecture styles and
service domains. Then we presents several middlewares that are suitable for CoT
based platforms and lastly a list of current challenges and issues in design of
CoT based middlewares is discussed.Comment: http://www.sciencedirect.com/science/article/pii/S2352864817301268,
Digital Communications and Networks, Elsevier (2017
Developing dynamic capabilities for corporate sustainability: the role of knowledge transfer between supply chain partners
A thesis submitted to the University of Bedfordshire in partial fulfilment of the requirements for the degree of Doctor of PhilosophyPersistent differences in corporate commitments to sustainability have led to an increasing debate. However, reasons behind such differences still lack a generic theorization. To address this research gap, the purpose of this study is to: 1) explicate key organizational functions and process underpinning dynamic capabilities for corporate sustainability; 2) explore the relationship between supply chain knowledge transfer and the development of dynamic capabilities for corporate sustainability. For such a purpose a theoretical framework is established with proposed hypotheses deriving from existing literature. Then a two-stage, mixed method is designed to test the model.
In Stage One, a case study and a large-scale archival analysis are performed to elaborate the microfoundations, i.e. key organizational functions and process underpinning dynamic capabilities for corporate sustainability. In Stage Two, a largescale survey is conducted among about 2,500 CILT members. The validity and reliability of the collected data are then verified through a series of tests. Finally the empirical data are fitted into a Structural Equation Model (SEM) to test proposed hypotheses.
The findings of the research are twofold. The result of Stage One study suggests that three types of dynamic capabilities for corporate sustainability, namely scanning, sensing, and reconfiguration capabilities, underpin a firm’s competence to successfully respond to the environmental and social concerns of various stakeholders and mobilize internal resources to make strategic change towards sustainability. Moreover, key organizational functions and process underpinning dynamic capabilities for corporate sustainability show commonalities among firms across various industrial sectors and geographic regions. In Stage Two study, the empirical finding is that supply chain knowledge transfer positively impacts the development of
firm's scanning capability and sensing capability. However, the impact patterns vary
significantly between focal firms' upstream and downstream supply chain partnerships.
The research contributes to knowledge from three perspectives. To theory, as an early
attempt to extend Dynamic Capabilities View (DCV) to the area of corporate sustainability, the research not only introduces the concept of dynamic capabilities for corporate sustainability to the literature, but also examines how these capabilities can be developed through supply chain knowledge transfer. It thus contributes to the theories of both DCV and corporate sustainability. To research, the empirical findings of the research indicate that the effect of inter-firm knowledge transfer on capabilities development of supply chain customers tends to be underestimated by previous studies, thus providing a new potential research direction. To practice, professionals could possibly use the theoretical framework developed in the study to better understand what types of dynamic capabilities should be developed to more
effectively overcome emerging sustainability challenges, and how to further develop these capabilities through supply chain knowledge transfer
Will SDN be part of 5G?
For many, this is no longer a valid question and the case is considered
settled with SDN/NFV (Software Defined Networking/Network Function
Virtualization) providing the inevitable innovation enablers solving many
outstanding management issues regarding 5G. However, given the monumental task
of softwarization of radio access network (RAN) while 5G is just around the
corner and some companies have started unveiling their 5G equipment already,
the concern is very realistic that we may only see some point solutions
involving SDN technology instead of a fully SDN-enabled RAN. This survey paper
identifies all important obstacles in the way and looks at the state of the art
of the relevant solutions. This survey is different from the previous surveys
on SDN-based RAN as it focuses on the salient problems and discusses solutions
proposed within and outside SDN literature. Our main focus is on fronthaul,
backward compatibility, supposedly disruptive nature of SDN deployment,
business cases and monetization of SDN related upgrades, latency of general
purpose processors (GPP), and additional security vulnerabilities,
softwarization brings along to the RAN. We have also provided a summary of the
architectural developments in SDN-based RAN landscape as not all work can be
covered under the focused issues. This paper provides a comprehensive survey on
the state of the art of SDN-based RAN and clearly points out the gaps in the
technology.Comment: 33 pages, 10 figure
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