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With the continuing penetration of sensor devices and the development of wireless communication techniques, increasing number of applications involving context awareness in ubiquitous computing have been used in daily life. How to collect data from mobile devices at a low energy cost and to mine contextual habits of users remains a key challenge for ubiquitous computing. We proposed an efficient context-...
In the process of enterprise information construction, the emergence of Cloud Computing is undoubtedly a huge revolution, which makes the enterprise more flexible to choose private cloud, public cloud or hybrid cloud deployment according to its own circumstance. The private cloud of larges-cale enterprise has always been a difficult problem. Moreover, PaaS is the most complicated part. According to...
In this work, we extend WuKong middleware to interface with context engine, to learn the context based on the history of user behaviors, and to command the devices in the system according to the context. With the enhanced WuKong framework, one can design and implement context-ware/user-behavior-aware IoT applications using FBP in WuKong middleware.
Recently the demand for large-scale surveillance systems automated by video analysis technologies has been increased. A key to developing real-world systems of this type is the streamlining of analysis execution on the basis of application characteristics including video contents. This paper proposes novel middleware we call “Analysis Control Middleware (ASCOT)” for achieving and customizing analysis...
This paper presents a LBS middleware software, which contains application and positioning modules. The first module is designed to improve the granularity of the pushed information in current LBS systems and to conveniently add new applications. Taking the advantage of PUB/SUB system's asynchronous, loosely-coupled and multiplex communication mechanism, the middleware pushes LBS information with its...
This paper gives out a PUB/SUB-based application server software, which aims at improving the coarse granularity of the pushed information in current LBS systems. Taking the advantage of PUB/SUB system's asynchronous, loosely-coupled and multiplex communication mechanism, the server software pushes LBS information with its granularity refined. By combining position information and the PUB/SUB paradigm,...
Mobile phones play increasingly bigger role in our everyday lives. Today, most smart phones comprise a wide variety of sensors which can sense the physical environment. The Internet of Things vision encompasses participatory sensing which is enabled using mobile phones based sensing and reasoning. In this research, we propose and demonstrate our DAM4GSN architecture to capture sensor data using sensors...
In this paper, a scalable middleware for supporting location aware applications, MapUme is presented. Scalability feature will enable development of a broad range localisation systems from small size to a large number of localised objects. Distributed data processing supports the scalability requirement by distributing data processing load into several computing machines. The distributed data processing...
Distributed simulation usage in industry has been limited due to its high cost in comparison to its returned benefits. A number of surveys of experts from different background suggested the need of distributed simulation features to overcome its challenges and cost. The RESTful Interoperability Simulation Environment (RISE) middleware, based on RESTful Web-services, deals with these issues. However,...
S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continuous unbounded streams of data. Keyed data events are routed with affinity to Processing Elements (PEs), which consume the events and do one or both of the following: (1) emit one or more events which may be consumed by other PEs,...
This paper presents a recovery architecture for in-memory data management systems. Recovery in such systems boils down to solving two problems: retrieving and installing the last committed image of the crashed database on a new server and replaying the updates missing from the image. We improve recovery time with a novel technique called On-Demand Recovery, which removes the need to replay all missing...
Built on global geographic coordinate, Campus GIS, as a branch of GIS, becomes a spatial information model of traditional campus. With analyzing the structure model, the thought of exploitation and the functional design, we proposed one kind of architecture for Campus WebGIS based on ArcGIS Server, which includes functions of distributing, managing and severing spatial information through internet...
Under service-oriented architecture (SOA), servers (service providers) provide services to clients as well as other orchestrators, i.e. they are parts of several orchestrations. Due to different types of interaction, servers may have to operate concurrently under several policies. Moreover, when interacting with clients or peer servers, a server may be subject to global constraints determined by system...
With the workflow technology's gradual maturenient and development, it has brought a great deal of system's flexibility in their business processing, the multi-level interaction, the task allocation, information sharing, business statistics, and so on. Especially it can reduce the maintenance cost in the system maintenance and system upgrade, reduce the upgradeable period, and raise the working efficiency...
The paper presents an architecture and implementation that allows distributed execution of workflow applications in BeesyCluster using agents. BeesyCluster is a middleware that allows users to access distributed resources as well as publish applications as services, define service costs, grant access to other users and consume services published by others. Workflows created in the BeesyCluster middleware...
A successful RFID system, not only shields the heterogeneity of the underlying equipment and deals with complex data ALE, but also dynamically configures the mapping relations between process nodes and RFID data in accordance with changes in business processes. This paper describes the RFID business process server, which uses the idea of process component model to configure the relations among ALE...
Intelligent objects, results of the modern RFID technology, tend to be used extensively in business contexts to improve processes like goods receipt, goods issue, logistical tracking of returnable transport items, and kanban. Those RFID-enabled processes need large support from existing Enterprise Resource Planning (ERP) systems. Therefore this paper evaluates software systems which helps integrating...
With the emerging technologies like cloud computing and Internet scale data centers, radically simplified deployment approaches are critical for the success of the even more complicated solutions. Although there have been many traditional solution deployment approaches, each of them mainly focuses on particular software type or product. In this paper, we propose the next generation solution deployment...
Large scale data intensive systems are available in many fields in recent years, and itpsilas a severe challenge for group-by query of large volume of data in a cluster based on shared-nothing architecture. This paper proposes a design of a parallel query engine (PQE) and its asynchronous improvement (APQE) for group-by queries. PQE and APQE support for pipelined query processing and develop maximum...
Security is one of the most important issues in grid computing. Therefore it is an inevitable function in most kinds of grid middleware to ensure the security of resource access. Efforts of this literature focus on file security in grid system. An architecture for file scan and monitoring is proposed on top of OGSA-based grid middleware as well as NFS, for the purpose of preventing the spread of virus...
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