Spring Java Enterprise Services and Remoting Technologies

RFID technology has advanced a lot in recent years. In order for enterprises to be competitive, an increasing number have integrated the technology into their operations. The prime challenge for RFID middleware is not to shield the bottom device-level heterogeneity but to accelerate the integration with legacy system and application in a complex scenario. In this paper, we introduce a distributed work flow based RFID middleware deployed in cluster environment. It is modeling-based and service & component oriented. The architecture focuses on the top-level application: the business integration of RFID system. It combines using work flow engine with ESB (Enterprise Service Bus) to separate the execution logic and execution entity. The mechanism makes it easier to distribute in a cluster scenario. It facilitates system's maintenance by conforming to JMX (Java Management Extension). RFID events as engine triggers, first of all, mapped to units of work flow by the RFID adapter. As a result, business integration people can concentrate business process design leaving all other things to our system. At the end part of this paper, we provide solutions for one scenario in BOLUO Logistics Company using this system and evaluate the performance.

The rapid development of the Industrial Internet of Things (IIoT) has led to the explosive growth of industrial control data. Cloud computing-based industrial control models cause vast energy consumption. Most existing solutions try to reduce the overall energy consumption by optimizing task scheduling and disregard how to reduce the load of computing and data transmission. On the other hand, due to the rigid architecture and limited capability of the edge computing platform, solutions based on edge computing urgently need to be deeply optimized in terms of data processing and energy efficiency. This paper proposes Deep-Green, which is a dispersed energy-efficient computing paradigm for the Industrial Internet of Things. The core idea of Deep-Green is to realize the joint optimization of computing and network resources by merging data transmission and data processing. Deep-Green provides a novel method of constructing an IIoT edge layer based on a dispersed computing platform. By using an energy-efficiency task scheduling algorithm, container service technology, and programmable protocol stack, the data processing service is dispatched from the cloud side to the on-site controller. Therefore, the data from manufacturing equipment can be processed while they are forwarded by the on-site industrial controller. The results of experiments show that Deep-Green can not only effectively reduce the computing load and communication overhead of the cloud-side server, but also simplify the network topology and the number of devices at the edge layer of the IIoT.

Current representatives of Grid systems are Globus and Web Services, however, they have poor scalability and single point failure. It is a hot research topic to build a P2P and grid hybrid framework for resource management and task schedule. We propose Information Pool Based Grid Architecture (IPBGA), which is a real sense hybrid of P2P and grid instead of only introducing P2P methods into grid systems for resource management. The key of IPBGA, information pool protocol, is presented. In our information pool protocol, all of resources and tasks are abstracted into information, and resource requests for tasks and task appeals for resources are viewed as information services, then grid resource management and task schedule are treated as information matching. Therefore, our architecture is very adaptive to heterogeneous, dynamic, and distributed grid systems. We use tri-information centers for collecting information, which strengthens the robustness of our system. Simulation experiments show information pool protocol of IPBGA is more efficient in resource management and task schedule, and has less bandwidth and processing cost compared with other hybrid P2P systems.

The current representatives of Grid systems are Globus and Web services, however, they have poor scalability and single point failure. It is these two factors which make the building of an improved P2P and grid hybrid framework for resource management and task schedule such a popular research topic. This paper differs from current research because it puts forward an Information Pool Based Grid Architecture (IPBGA), which is a real sense hybrid of P2P and grid instead of only introducing P2P methods into grid systems for resource management. Based on virtualizations, abstract physical resources and tasks to be, the information requests from resources for tasks and appeals from tasks for resources are upgraded as information services by using an information pool protocol (IPP). Thus, grid resource management and task scheduling are regarded as information matching by IPP which is adaptive to the heterogeneous, dynamic, and distributed characteristics of a grid system. Tri-Information Center (Tri-IC) and source ranking mechanisms are presented in IPP to improve robustness, prevent sybil attack, and to discourage free riding. Experiments and theory analysis show that the IPP of the IPBGA is more efficient and robust in dealing with information while both the bandwidth and process costs are less.

Creation of large and complex World Wide Web sites is hampered by the “page at a time” approach of many tools and the programming knowledge and custom software development required for automated solutions. This paper describes the development of Automatic Site Markup Language (ASML). ASML is a new markup language designed to automate and facilitate the production of large, complicated web sites which can include dynamic content or content that changes with time. ASML extends HTML with new, high-level features while still preserving complete compatibility with common browser and server technologies. It has powerful indexing and searching facilities, and enables the automatic translation of document formats. Most importantly, ASML provides HTML-like features at the site level rather than just the page level.

Over the last few years, cloud computing has emerged as the best option for offering various applications. It can supply databases, web services, processing, storage, development platforms, and web services to help businesses swiftly expand their infrastructure and service offerings. However, massive amounts of data will severely burden the cloud computing environment. Due to this, load‐balanced task scheduling has remained a crucial aspect of resource distribution from a data center, ensuring that each virtual machine (VM) has a balanced load to fulfill its full potential. Overloading or underloading a host or server can cause issues with processing speed or even cause a system crash. To prevent this, we need an intelligent way to schedule tasks. Therefore, the hybrid optimization algorithm called gazelle coati optimization algorithm (GCOA) is introduced in this paper to schedule tasks in a cloud environment. This algorithm integrates the coati optimization algorithm (COA) and the gazelle optimization algorithm (GOA) to enhance the GOA's exploitation process. The main objective of this hybrid approach is to optimize scheduling, maximize VM throughput and resource utilization, and establish load balancing between VMs based on makespan, energy, and cost. The performance assessment of the proposed approach is conducted on two real‐world workloads, such as Google Cloud Jobs (GoCJ) and the heterogeneous computing scheduling problems (HCSP) datasets, using several performance metrics, and the results are compared with the previous scheduling and load balancing methods. The experiment results show that the suggested strategy produced significant gains in makespan, energy, cost, resource utilization, and throughput—up to 10% and 60%, respectively—making it appropriate for real‐world cloud infrastructures.

Improvement of tasks scheduling algorithm based on load balancing candidate method under cloud computing environment

Users of Web and grid services often must temporarily delegate some or all of their rights to a software entity to perform actions on their behalf. The problem with the typical grid services approach (X. 509 proxy certificates) is that commercial Web services tooling fails to recognize these certificates or process them properly. The security assertion markup language (SAML) is a standardized XML-based framework for exchanging authentication, authorization and attribute information. SAML has broadening commercial support but lacks delegation capabilities. To address this shortcoming, we exploit SAML's inherent extensibility to create a delegation framework for Web and grid services that supports both direct and indirect delegation. We develop a set of verification rules for delegation tokens that rely on WS-Security X.509 signatures, but do not force any trust relationship between the delegatee and the target service. We have implemented the framework on two common Web service hosting environments: Java/Tomcat and .NET. By leveraging existing Web services standards, we make it easier for Grid practitioners to build and consume Web and grid services without resorting to grid-specific protocols.

Telecommunication networks are service centric and therefore benefit from service composition techniques in accordance to Service Oriented Architecture (SOA) principles. Furthermore, services in the telecommunication domain are subject to specific requirements and topologies of service usage. Examples are services within end-to-end communication sessions and the need to handle service interaction across technological worlds. This includes telecom, enterprise and Internet services. A common service layer for IT and telecommunication needs to be able to handle compositions of services from multiple technological worlds. This paper provides an analysis of the service usage that is typical for various service technologies and it outlines a composition approach that is made to handle heterogeneous composite services.

As there is a rapid growth of service market and technologies of mobile applications, many kinds of platforms, service, business models, devices, and requirements for mobile business service are under consideration. In case of Korea, it has been experienced for years in applying mobile application service to the real world. In technical domain, one of the hot issues in development of application service is different development environment of each wireless carrier companies. This issue causes a problem to the application service providing companies in developing the same service to fit each different platform for their customers, the wireless carrier companies. A forum called Korea Wireless Internet Standardization (KWIS) was established for solving technical problems in developing the mobile application service. In April, 2002, the forum annonuced the recommended technical specifications of 'Wireless Internet Platform (WIP)' as one of the draft domestic de facto standards in Korea. In this paper, the common application service framework of 'Wireless Internet Platform' is presented. The proposed framework, called 'Mobile Application Service (MAS)' framework, is composed of Application Adaptation Layer (AAL) and Handset Adaptation Layer (HAL). In this paper, the AAL, the application component of the MAS framework, is discussed. The requirements analysis of content provider, handset vendor, wireless carrier, and mobile user for mobile service application are discussed in this paper.

Services as part of our daily life represent an important means to deliver value to their consumers and have a great economic impact for organizations. The service consumption and their exponential proliferation show the importance and acceptance by their customers. In this sense, it is possible to predict that the infrastructure of future cities will be supported by different kind of services, such as smart city services, open data services, as well as common services (e.g., e-mail services), etc. Nowadays a large percentage of services are provided on the web and are commonly called web services (WSs). This kind of services has become one of the most used technologies in software systems. Among the challenges when integrating web services in a given system, requirements-driven selection occupies a prominent place. A comprehensive selection process needs to check compliance of Non-Functional Requirements (NFRs) which can be assessed by analyzing the Quality of Service (QoS). In this paper, we describe a framework called WeSSQoS that aims at ranking available WSs based on the comparison of their QoS and the stated NFRs. The framework is designed as an open Service Oriented Architecture (SOA) that hosts a configurable portfolio of normalization procedures and ranking algorithms which can be selected by users when starting a selection process. The QoS data from WSs can be obtained either from a static, WSDL-like description or dynamically through monitoring techniques. WeSSQoS is designed to work over multiple WS repositories and QoS sources. The impact of having a portfolio of different normalization and ranking algorithms is illustrated with an example.

A semantic web service environment for B2B and B2C auction applications within extended and virtual enterprises

Despite all standardization efforts in the Web service area, several different incompatible Web service registry implementations exist. The initial focus of these implementations was geared towards working with a centralized Universal Business Registry (UBR). However, these centralized approaches tend to be bottlenecks regarding performance and fault tolerance. A proposed solution is the replication of registry information among multiple distributed Web service registries. In addition, the creation of specialized Web service registries leads to a large number of different Web service registries. This leads to a situation where the search for a particular Web service becomes a very complex task. Besides, Web service provisioning includes a considerable administrative overhead when dealing with transient Web services. Transient Web services exist only for a limited lifetime and in a certain context. In this paper, we propose the VISR (View based Integration of Web Service Registries) peer to peer architecture for the transparent integration of multiple Web service registries and transient Web service providers. This work focuses on the integration concept of multiple Web service registries and transient Web service providers. The integration concept relies on so-called views. Views provide the needed abstractions for the seamless integration on the different registries. Views use common lightweight Web service profiles that serve as unified global data model. VISR Web service profiles allow the flexible extension of registry entries with value added information without changing the original Web service registry entries. To illustrate the view concept, we introduce a simple grammar (View Description Language) for view descriptions that is used in the working example throughout the paper. We present Web service communities as a possible application of the view concept and show how different types of Web services providers, respectively, their registries are integrated into a unified global data model.

SummaryMany e‐business or social network servers have been constructed on cloud. On such open environments, private data of massive users have to be protected by encrypting, such as using Advanced Encryption Standard (AES), and furthermore, this process must be finished in a short time for users' better experience. This gives huge pressure on cloud servers, especially common servers, such as web servers. We urgently need an inexpensive and highly efficient method to relieve cloud servers' pressure. Fortunately, many cores of a graphics processing unit (GPU) can undertake this hard mission because of stronger computing power and lower price. The GPU environments can be virtualized on demand by cloud through the vCUDA technology. Of course, for those clouds not equipped with a GPU, a central processing unit (CPU) can still work as multithreads in parallel. Thus, in a cloud, AES can be parallelized using many cores of a GPU or multicores of a CPU with high efficiency and low cost. For typical cloud applications, such as web services, there are massive users and each one has short plaintext. If we simply parallelize AES in such an application, we cannot obtain better performance because of the GPU's extra data transferring cost. Thus, we coalesce the massive users' data and cut these data into same‐length slices for improving the performance of parallel AES as much as possible. So we design six parallel AES algorithms using GPU parallelism or CPU parallelism, which differ in parallel scope and whether data are coalesced or cut to slices. Specifically, they are coalescent and sliced GPU (GCS), coalescent and unsliced GPU, uncoalescent GPU, coalescent and sliced CPU, coalescent and unsliced CPU, and uncoalescent CPU. Moreover, we implement them on two representative platforms and evaluate their performance. Through comparing their performance, GCS has the best performance among these algorithms. In a cloud with Nvidia GPUs, GCS is a more powerful algorithm for massive users' data encrypting, relatively. Copyright © 2015 John Wiley & Sons, Ltd.

As an object/component deployed on Web, Web service is a self-describing, self- contained, and modular application. Its most distinguished feature is that it can cross multiple platforms. It supports multiple programming languages, runtime networks and environments, and can be explained with the XML language. In Web service, different development tools can interact with each other to realize integration between applications. With only Internet standard protocols, such as HTTP or XML, Web service enables client access. With standard protocol such as XML and SOAP, Web can integrate all kinds of heterogeneous system into current system convenientlv and quickly, and promote the EAI implementation effectively, especially provide a high-quality and low-cost solution to enterprise application integration. This paper introduces the integration of enterprise application, Then analyzing the architectures and key technologies of Web services, propose a solution to the integration of enterprise application based on Web.