Agent-Based Design of Load Balancing System for RFID Middlewares

Cui, Jian Feng; Chae, Heung Seok

doi:10.1109/ftdcs.2007.11

Cited by 9 publications

(7 citation statements)

References 7 publications

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“…Dynamic load-balancing approach on the RFID middleware (Park et al, 2007;Cui and Chae, 2007) In this research, an agent-based load-balancing approach for the RFID middleware is proposed. Two agents and five policies are developed to deal with the load-balancing problem.…”

Section: Related Researchmentioning

confidence: 99%

Load-balancing mechanism for the RFID middleware applications over grid networking

Chao

Chen

et al. 2011

Journal of Network and Computer Applications

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Section: Related Researchmentioning

confidence: 99%

Load-balancing mechanism for the RFID middleware applications over grid networking

Chao

Chen

et al. 2011

Journal of Network and Computer Applications

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“…After further improvement, the authors devised two agents LGA (Load Gathering Agent) and RLBA(Reader Load Balancing Agent) and implemented the approach on JADE mobile agent platform which can be seen in [1]. Whenas, the authors only focused on load reallocation, not considered load distribution.…”

Section: Related Workmentioning

confidence: 99%

“…Radio frequency identification (RFID) technology is an emerging technology and evolving quickly, which brings enormous productivity benefits in applications where objects have to be identified automatically. RFID system [1,2] which is composed by tags, readers, middleware, application services, etc has been applied to various applications such as retail, healthcare, logistics, etc.…”

Section: Introductionmentioning

confidence: 99%

An Agent-Based Load Balancing Approach for RFID MiddleWares

Wei

Sun

Wang

2014

AMM

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For company to extend their RFID applications ceaselessly, the fundamental challenge is how to satisfy enterprise applications more effectively, while avoids mainframe server purchased and existed servers leave unused. It needs to decentralize work by using several RFID middlewares. So load balancing method is required for preventing centralization work in certain RFID middleware. In this paper, as a solution of tackle the challenge, we proposed a new load balancing approach based on mobile agent for RFID middlewares, which includes: information gathering policy, transfer policy, selection policy and location policy, and three agents are developed: load-info monitoring agent (LIMA) compliant to monitoring local host workload status; load-info gathering agent (LIGA) compliant to gather local and global load information; load transfer mobile agent (LTMA) compliant to choose the independent set and the appropriate scheduling scheme and implement the relocation work.

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“…Reference [28] introduces a number of RFID tag-based middleware load-balancing strategies which are good for all middleware and their hosting servers which have same configuration (homogenous case). Reference [29] introduces a distributed and agent-based design of load balance system for RFID middleware, which applies mobile and stationary agents to gather information and execute load balancing. Reference [1] proposes a grid-based load-balancing mechanism for RFID middleware applications, which incorporates functional modules buffer management and load balancing management over a grid networking platform, to buffer the read data and share the middleware loading, and compared the processing time and the packet lost ratio to the existing methods.…”

Section: Related Researchmentioning

confidence: 99%

“…Figure 20 also shows tag lost ratio comparison from simulation results, where connection pool is obtained using the method in [30] and Agent is obtained, applying by method in [29]. In the simulation, the total number of readers is fixed as 30 but with varying the total number of middleware: 2, 4, 6, 8, and 10.…”

Section: Performance Evaluationmentioning

confidence: 99%

An Approach to Design and Implement RFID Middleware System over Cloud Computing

Tian

Xue

Dong

et al. 2013

International Journal of Distributed Sensor Networks

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With the development of Internet of things, the number of radio frequency identification (RFID) network readers and tags increases very fast. Large-scale application of RFID networks requires that RFID middleware system can process a large amount of data efficiently, with load-balancing, efficient redundant data elimination, and Web service capabilities so that required information can be transmitted to applications with low overhead and transparency. In view of these objectives and taking especially advantages of virtualization and transparency of Cloud computing, this paper introduces an advanced RFID middleware management system (ARMMS) over Cloud computing, which provides equipment management, RFID tag information management, application level event (ALE) management, and Web service APIs and related functions. ARMMS has different focuses than existing RFID middleware in distributed design, data filtering, integrated load balance, and Web service APIs and designs all these over Cloud. The distributed architecture can support large-scale applications, integrated load-balancing strategy guarantees stability and high performance of the system, and layered and parallel redundancy data elimination scheme makes sure that needed information is transmitted to application level with low overhead; Web service APIs support cross-platform information processing with transparency to lower level RFID hardware.

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Agent-Based Design of Load Balancing System for RFID Middlewares

Cited by 9 publications

References 7 publications

Load-balancing mechanism for the RFID middleware applications over grid networking

Load-balancing mechanism for the RFID middleware applications over grid networking

An Agent-Based Load Balancing Approach for RFID MiddleWares

An Approach to Design and Implement RFID Middleware System over Cloud Computing

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