Integrated Services Architecture Research Articles

Integrated Service Architecture to Promote the Circular Economy in Agriculture 4.0

Innovation has been the transforming tool of precision agriculture as a response to population growth and the demand for more food with quality, less waste, food security, and sustainable management of environmental resources. The challenges are to increase the productivity of cultivated areas, both for current and future areas, to manage the use of potable water, scarce in many regions, to keep the soil fertile, and to reduce waste through reuse, optimization, resource sharing, and operational and strategic management based on accurate information of planting, harvesting, and management of environmental conditions, which are also objectives of the Circular Economy. Therefore, using Industry 4.0 technologies in agriculture becomes fundamental to facing such challenges. This paper presents a systematic literature review on Industry 4.0 technologies adopted in agriculture for sustainable development, considering environmental, economic, and social benefits. The research pointed to the use of IoT in irrigation control systems by sending automatic commands, monitoring soil and weather conditions, in the use of machinery with some automation features and in cloud data storage systems, and with the use of Big Data analytical tools, with access by mobile devices, these uses contribute to operational and strategic decision making in the management of planting and harvesting. However, the literature review did not find a technological architecture for Integrated Services in Agriculture 4.0. Thus, this paper proposes a Service Architecture that enables the promotion of a Circular Economy in Agriculture 4.0. The contribution of this article to the theory is in the expansion of knowledge of the use of technologies in Agriculture 4.0. In terms of practice, this article provides an Integrated Service Architecture so that new products can be developed for Agriculture 4.0 and thus contribute to society in reducing food insecurity, generating environmental, economic, and social benefits, and promoting the Circular Economy in Agriculture 4.0.

Integrated Navigation and Communication Service for LEO Satellites Based on BDS-3 Global Short Message Communication

Massive global Low Earth Orbit (LEO) constellations have been developed rapidly with the characteristics of larger number and shorter orbital periods of LEO satellites in recent years. The increasing requirements of real-time orbit determination and emergency data transfer in full arc can hardly meet the traditional strategies based on regional ground stations. An integrated communication and navigation service architecture based on the third phase of the BeiDou system (BDS-3) Global Short Message Communication (GSMC) is proposed, which enables global coverage and random access. The GSMC downlink single-frequency signal is used for real-time orbit determination, and is further combined with B1C navigation signal for real-time dual-frequency high-precision orbit determination. Considering fast moving of LEO satellites and short burst of uplink messages, the uplink BDS-3 satellite selection strategy based on carrier-to-noise ratio, and uplink high-precision compensation of frequency shift are adopted to increase the communication success rate. The service architecture proposed can improve the precision of the autonomous orbit determination and enhance the capability of real-time command transmission of LEO satellites even without the traditional ground stations involved. Integrated communication and navigation service has been validated by simulation and on-board BDS-3 GSMC test data. The precision of single-frequency real-time orbit determination can reach 2.86m, and the precision of dual-frequency can reach 0.26m. The average time delay of communication is about 11.45s, and the success rate is about 99.8%. The method may provide alternative means of real-time high-precision orbit determination and emergency data transfer of LEO satellites.

MonALISA, an agent-based monitoring and control system for the LHC experiments

MonALISA, which stands for Monitoring Agents using a Large Integrated Services Architecture, has been developed over the last fifteen years by California Insitute of Technology (Caltech) and its partners with the support of the software and computing program of the CMS and ALICE experiments at the Large Hadron Collider (LHC). The framework is based on Dynamic Distributed Service Architecture and is able to provide complete system monitoring, performance metrics of applications, Jobs or services, system control and global optimization services for complex systems. A short overview and status of MonALISA is given in this paper.

Configuration and operation architecture for dynamic cellular manufacturing product–service system

The sustainability and re-configurability of a dynamic cellular manufacturing system (DCMS) play significant roles for enterprises in their rapid response to the ever changing market, while increasing their competitive power. Because of a lack of an efficient standard for implementing manufacturing and service integration, the configuration and operation architecture for Product–Service System (PSS) supporting DCMS remains a problem. In order to improve operation sustainability and re-configurability of DCMS, a configuration and operation architecture for Dynamic Cellular Manufacturing Product–Service System (DCM-PSS) based on function block is presented, and key techniques of configuration and operation of DCM-PSS are studied. The real-time dynamically reconfigurable and sustainable DCM-PSS can be implemented by means of the function block standard and Web Services middleware, which is verified through prototype system design and running instances. Because of the low cost of designing, developing and maintaining DCM-PSS due to its simple, open and scalable architecture, it can not only satisfy the requirement of developing dynamic cellular manufacturing system for Small and Medium Enterprises (SMEs), but also provide high-value-added services for DCMS manufacturers.

Research and Application of Science Intelligence Analysis Integrated Services Architecture Using OSGi

Research and Application of Science Intelligence Analysis Integrated Services Architecture Using OSGi

MONALISA: A MONITORING FRAMEWORK FOR LARGE SCALE COMPUTING SYSTEMS

The MonALISA (Monitoring Agents in A Large Integrated Services Architecture) framework provides a set of distributed services for monitoring, control, management and global optimization for large scale distributed systems. It is based on an ensemble of autonomous, multi-threaded, agent-based subsystems which are registered as dynamic services. They can be automatically discovered and used by other services or clients. The distributed agents can collaborate and cooperate in performing a wide range of management, control and global optimization tasks (such as network monitoring, resource accounting) using real time monitoring information. MonALISA includes a coherent set of network management services to collect in near real-time information about the network topology, the main data flows, traffic volume and the quality of connectivity. A set of dedicated modules were developed in the MonALISA framework to periodically perform network measurements tests between all sites. We developed global services to present in near real-time the entire network topology used by a community. The time evolution of global network topology is shown in a dedicated GUI. Changes in the global topology at this level occur quite frequently and even small modifications in the connectivity map may significantly affect the network performance. The global topology graphs are correlated with active end-to-end network performance measurements, done using the Fast Data Transfer application, between all sites. Access to both real-time and historical data, as provided by MonALISA, is also important for developing services able to predict the usage pattern, to aid in efficiently allocating resources globally. For resource accounting, MonALISA collects information regarding the amounts of resources consumed by the users, which represent virtual organizations in a large scale distributed system. Besides providing statistical information, an accounting system can also be the base for managing distributed resources upon an economic model. In the MonALISA monitoring framework we developed modules that provide accounting facilities, collecting information from cluster managers like Condor, PBS, LSF and SGE. The usage statistic s is used for an intelligent management of the resources.

The GridKa Tier-1 Computing Center within the ALICE Grid Framework

The GridKa computing center, hosted by Steinbuch Centre for Computing at the Karlsruhe Institute for Technology (KIT) in Germany, is serving as the largest Tier-1 center used by the ALICE collaboration at the LHC. In 2013, GridKa provides 30k HEPSPEC06, 2.7 PB of disk space, and 5.25 PB of tape storage to ALICE. The 10Gbit/s network connections from GridKa to CERN, several Tier-1 centers and the general purpose network are used by ALICE intensively. In 2012 a total amount of ~1 PB was transferred to and from GridKa. As Grid framework, AliEn (ALICE Environment) is being used to access the resources, and various monitoring tools including the MonALISA (MONitoring Agent using a Large Integrated Services Architecture) are always running to alert in case of any problem. GridKa on-call engineers provide 24/7 support to guarantee minimal loss of availability of computing and storage resources in case of hardware or software problems. We introduce the GridKa Tier-1 center from the viewpoint of ALICE services.

QoS Aware Adaptive Service Composition

In current business scenario the business processes of enterprises are service oriented. The services of various applications are advertised in service registry using Web Service Description Language description for service selection and composition. Service composition process integrates services based on Business Process Execution Language description of composite service and executed by the orchestration coordinator. As all compliant services description are included in the description, the service selection and execution consumes more time users need select the service form set of complaint services. This study proposes an adaptive service composition methodology over extended web service Quality Aware Service Integration architecture (QASI). The proposed service composition methodology reads the composite service description and constructs a composition tree. In each service node of composition tree a service is replaced by one that satisfies functional and QoS requirement. During execution of composite service or binding of service, the parameters like server maximum capacity, current load on server and expected time for completing current load for service at each level of composition tree are analyzed. An alternative service will be allocated at particular level to improve the overall response time of composite service. The QASI architecture provides a repository to store composition tree as symbolic notations to ensure repeatability. Experimental results indicates selection of best service and better response time by proposed methodology using QASI architecture compared to contemporary web service composition methodology using static BPEL description.

A remote control and media-sharing system using smart devices

The remote control and media sharing of electronic devices are key services in smart homes. The incorporation of mobile smart devices in these services has become a popular trend. Existing services require that these devices are located in the same local network. This paper presents the design and implementation of an integrated service architecture that supports the remote control of home appliances and the sharing of digital media between indoor and outdoor devices. The proposed design follows standards related to digital homes, and this study presents the details of its hardware and software components.

Design of a terminal solution for integration of in-home health care devices and services towards the Internet-of-Things

In-home health care services based on the Internet-of-Things are promising to resolve the challenges caused by the ageing of population. But the existing research is rather scattered and shows lack of interoperability. In this article, a business-technology co-design methodology is proposed for cross-boundary integration of in-home health care devices and services. In this framework, three key elements of a solution (business model, device and service integration architecture and information system integration architecture) are organically integrated and aligned. In particular, a cooperative Health-IoT ecosystem is formulated, and information systems of all stakeholders are integrated in a cooperative health cloud as well as extended to patients’ home through the in-home health care station (IHHS). Design principles of the IHHS includes the reuse of 3C platform, certification of the Health Extension, interoperability and extendibility, convenient and trusted software distribution, standardised and secured electrical health care record handling, effective service composition and efficient data fusion. These principles are applied to the design of an IHHS solution called iMedBox. Detailed device and service integration architecture and hardware and software architecture are presented and verified by an implemented prototype. The quantitative performance analysis and field trials have confirmed the feasibility of the proposed design methodology and solution.

Workflow management in large distributed systems

The MonALISA (Monitoring Agents using a Large Integrated Services Architecture) framework provides a distributed service system capable of controlling and optimizing large-scale, data-intensive applications. An essential part of managing large-scale, distributed data-processing facilities is a monitoring system for computing facilities, storage, networks, and the very large number of applications running on these systems in near realtime. All this monitoring information gathered for all the subsystems is essential for developing the required higher-level services—the components that provide decision support and some degree of automated decisions—and for maintaining and optimizing workflow in large-scale distributed systems. These management and global optimization functions are performed by higher-level agent-based services. We present several applications of MonALISA's higher-level services including optimized dynamic routing, control, data-transfer scheduling, distributed job scheduling, dynamic allocation of storage resource to running jobs and automated management of remote services among a large set of grid facilities.

Applying semantics to Parlay-based services for telecommunication and Internet networks

Abstract Ubiquitous convergent telecommunication and Internet networks need to deliver services and content to users in a way that is tailored to the users’ context information and preferences. Thus, there is a new challenge in the areas of accurate service description, linking dynamic service discovery and invocation, which involves the services of telecom networks and the Internet. Semantic annotation can provide advantages for precise service description, discovery and composition. However, open service interface specifications of telecommunication networks are currently still in the syntactic level. By applying semantics to Parlay-based services for telecommunication networks and the Internet, we present an OWL-S-based semantic description approach for telecommunication network services, enabled by the telecommunication service domain ontologies to address the semantic interoperability that exists. Using this approach, we have implemented the semantic telecommunication services gateway and proposed the unified service integration architecture of telecommunication and Internet networks within the semantic-web service environment. Proof-of-concept prototype and case studies demonstrate the practical feasibility of the suggested solution.

MonALISA: An agent based, dynamic service system to monitor, control and optimize distributed systems

The MonALISA (Monitoring Agents in a Large Integrated Services Architecture) framework provides a set of distributed services for monitoring, control, management and global optimization for large scale distributed systems. It is based on an ensemble of autonomous, multi-threaded, agent-based subsystems which are registered as dynamic services. They can be automatically discovered and used by other services or clients. The distributed agents can collaborate and cooperate in performing a wide range of management, control and global optimization tasks using real time monitoring information. Program summary Program title: MonALISA Catalogue identifier: AEEZ_v1_0 Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AEEZ_v1_0.html Program obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland Licensing provisions: Caltech License – free for all non-commercial activities No. of lines in distributed program, including test data, etc.: 147 802 No. of bytes in distributed program, including test data, etc.: 2 5913 689 Distribution format: tar.gz Programming language: Java, additional APIs available in Java, C, C++, Perl and python Computer: Computing Clusters, Network Devices, Storage Systems, Large scale data intensive applications Operating system: The MonALISA service is mainly used in Linux, the MonALISA client runs on all major platforms (Windows, Linux, Solaris, MacOS). Has the code been vectorized or parallelized?: It is a multithreaded application. It will efficiently use all the available processors. RAM: for the MonALISA service the minimum required memory is 64 MB; if the JVM is started allocating more memory this will be used for internal caching. The MonALISA client requires typically 256–512 MB of memory. Classification: 6.5 External routines: Requires Java: JRE or JDK to run. These external packages are used (they are included in the distribution): JINI, JFreeChart, PostgreSQL (optional). Nature of problem: To monitor and control distributed computing clusters and grids, the network infrastructure, the storage systems, and the applications used on such facilities. The monitoring information gathered is used for developing the required higher level services, the components that provide decision support and some degree of automated decisions and for maintaining and optimizing workflow in large scale distributed systems. Solution method: The MonALISA framework is designed as an ensemble of autonomous self-describing agent-based subsystems which are registered as dynamic services. These services are able to collaborate and cooperate in performing a wide range of distributed information-gathering and processing tasks. Running time: MonALISA services are designed to run continuously to collect monitoring data and to trigger alarms or to take automatic actions in case it is necessary.

Manufacturing Service Integration Architecture for Networked Manufacturing

Intense competition drives the need for dynamic integration of dispersed and heterogeneous manufacturing services. This paper proposes a kind of semantic-based service integration architecture for networked manufacturing. A unique property of this architecture is that it provides the unified interface encapsulation approach and semantic analyzing method to realize dynamic and loose coupling integration. Some key technologies are introduced to demonstrate how the proposed integration architecture can be used to establish a collaborative environment, wherein manufacturing services are semantic modeled, semantic analyzed, and dynamically integrated on-demand.

Monitoring and Control of Large Systems with MonALISA

The HEP (high energy physics) group at the California Institute of Technology started developing the MonALISA (Monitoring Agents using a Large Integrated Services Architecture) framework in 2002, aiming to provide a distributed service system capable of controlling and optimizing large-scale, data-intensive applications. Its initial target field of applications is the grid systems and the networks supporting data processing and analysis for HEP collaborations. Our strategy in trying to satisfy the demands of data-intensive applications was to move to more synergetic relationships between the applications, computing, and storage facilities and the network infrastructure.

PanDA: distributed production and distributed analysis system for ATLAS

A new distributed software system was developed in the fall of 2005 for the ATLAS experiment at the LHC. This system, called PANDA, provides an integrated service architecture with late binding of jobs, maximal automation through layered services, tight binding with ATLAS Distributed Data Management system [1], advanced error discovery and recovery procedures, and other features. In this talk, we will describe the PANDA software system. Special emphasis will be placed on the evolution of PANDA based on one and half year of real experience in carrying out Computer System Commissioning data production [2] for ATLAS. The architecture of PANDA is well suited for the computing needs of the ATLAS experiment, which is expected to be one of the first HEP experiments to operate at the petabyte scale.

IntServ6: an approach to support QoS over IPv6 wired and wireless networks

AbstractIn this paper we propose a new approach for Quality of Service (QoS) support on Internet. This approach, named IntServ6, is based on the Integrated Services Architecture (ISA). It takes advantage of the IPv6 header flow label field to improve a set of the standard ISA properties such as reservations within tunnels, flows aggregation and interconnection with MPLS transport networks. IntServ6 can be used for QoS support in IPv6 wired and wireless networks. This paper describes the IntServ6 operation and performance evaluation over both environments. Evaluation results show that this approach has a better router performance with respect to the standard IntServ. Thus, IntServ6 reduces the mean packet delay and reduces the packet delay dependence with the mobility. Copyright © 2007 John Wiley & Sons, Ltd.

911-NOW: A network on wheels for emergency response and disaster recovery operations

Public safety organizations increasingly rely on wireless communication technology to provide effective command, control, and communication during emergencies and disaster response operations. Since emergencies can vary in scale from day-to-day operations to large-scale and widespread catastrophic events, any previously deployed network infrastructure may not be able to handle the traffic load. Worse, the wireless infrastructure may be damaged or destroyed, as occurred during the events of 9/11 and Hurricane Katrina. The 911-network on wheels (911-NOW) solution is a novel portable cellular system based on base station routers (BSRs) that does not require any pre-existing wireless infrastructure and provides capacity and coverage on demand. It is an auto-configurable system with a fully integrated service architecture that can be deployed as a single-cell solution for local communication or be configured to operate as an ad hoc network of cells. This paper describes the 911-NOW vision and discusses some of the differentiating features such as auto-configuration, network management, wireless mesh networking, and interoperability with existing public safety systems. We also highlight some of the research challenges associated with mobile and rapidly deployable wireless networks. In particular we provide an overview of issues centered upon dynamic assignment and management of Internet Protocol (IP) addresses, online and real-time calculation and maintenance of routing information, mobility management, and dynamic configuration and optimization of radio parameters. © 2007 Alcatel-Lucent.

The BT HP alliance — integrated service delivery

The BT HP alliance was established to address the challenges that arise with global ICT outsourcing, bringing together the world-class capabilities of BT and HP to provide a full service outsource capability — where such an arrangement would yield benefit to BT, HP and clients. This paper will look at some of these challenges and in particular those which relate to the provision of ‘end-to-end’ service management. It describes the BT HP alliance’s approach to the delivery of an integrated service, and how the issues raised can be addressed using an integrated service architecture (ISA). The core components of the ISA, namely the customer portal, the service catalogue, the joint service delivery model (JSDM), the joint service delivery architecture (JSDA), and the supporting data storage, are identified and described. In order to describe the approach taken to develop the ISA, incident management is used as an example to show how the existing service delivery processes are aligned in the joint service delivery model. It is recognised that there are existing process standards and frameworks within both companies, and hence, in the early stages of establishing a joint service delivery capability, the approach is to rely on these existing processes and identify and harmonise the necessary interfaces between them. The overall effect of this is to provide a seamless view of service delivery from the customer perspective. As well as aligning these processes, in some cases they are also bonded together, where it is appropriate and where there is an identified benefit. The paper will also describe the infrastructure and systems that have been put in place in order to electronically bond and automate processes by using the JSDA, taking the incident management process as an example.

A 4G generic ANWIRE system and service integration architecture

This paper proposes a 4G 'Generic ANWIRE system and service Integration Architecture' (GAIA). The relationship between the different GAIA domains is explained and interaction between their functional entities is shown in order to explore various GAIA properties. An overview of the relevant topics related to the GAIA architecture and its respective elements is given. A well-based summary on system integration efforts of previous projects is provided as a basis for deriving of various requirements for GAIA. New two-phase business model to accommodate the 4G development is proposed and justified. Finally, a new reference communication model of a future 4G wireless system is proposed and GAIA interdomain signalling issues are discussed.