Critical Aware Community Based Parallel Service Composition Model for Pervasive Computing Environment

Kumaran, P.; Raghunathan, Shriram

doi:10.1007/978-3-642-24037-9_12

Cited by 1 publication

(8 citation statements)

References 7 publications

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“…In this section, the result analysis of MST-FT Model is estimated. The efficiency of MST-FT Model is compared against with dynamic parallel composition model [1] and Fault tolerant Service Selection Framework (FTSSF) [2] respectively. The performance of MST-FT Model is evaluated along with the metrics with the help of tables and graphs.…”

Section: Resultsmentioning

confidence: 99%

“…The Markov State Transition Based Fault Tolerance (MST-FT) Model is implemented in NS-2 simulator. The effectiveness of MST-FT model is compared against with existing two methods namely dynamic parallel composition model [1] and fault tolerant service selection framework (FTSSF) [2]. The simulation parameters that are used for conducting experimental works are shown in Table 1.…”

Section: Simulation Settingmentioning

confidence: 99%

“…While the execution time is lower, the method is said to be more efficient. Table 3 portrays the comparative result analysis of time taken for resource efficient quality of service using three methods namely Dynamic Parallel Composition Model [1], FTSSF [2] and MST-FT Model. While the 100 mobile nodes are taken for providing a user services in pervasive environment, the proposed MST-FT Model has attained 20.4 ms execution time, whereas Dynamic Parallel Composition Model, FTSSF attains 30.5ms, 25.6ms respectively.…”

Section: Measurement Of Execution Timementioning

confidence: 99%

“…While the energy consumption is lower, the method is said to be more efficient. The above Table 4 represents the amount of energy taken for providing a resource efficient quality of service using three methods namely Dynamic Parallel Composition Model [1], FTSSF [2] and MST-FT Model based on different number of mobile nodes taken in the range of 50-500.While the 200 mobile nodes are taken for sharing the resources and satisfying the user demand in pervasive environment, the proposed MST-FT Model has consumes 36.98J energy, whereas Dynamic Parallel Composition Model, FTSSF consumes 48.47J, 42.15J respectively. Hence, energy consumption rate using proposed MST-FT Model is lower, when compared to other existing methods.…”

Section: Measurement Of Energy Consumption Ratementioning

confidence: 99%

“…However, the link failure remained unsolved. A dynamic parallel composition model was planned in [2] to ensure that resultant composition mechanism is dynamic in nature to adapt to the service nodes failure without compromising the quality of service with better fault error recovery time. But, energy utilization is higher.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Fault Tolerance and QoS based Pervasive Computing using Markov State Transition Model

David

Santhosh

2018

IJET

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Fault-tolerance is significant in pervasive computing environments. Recently, few research works has been developed for reducing the fault, occurring in pervasive computing. However, there is a need for a fault tolerance mechanism to reduce the link failures and unwanted mobile node access (in pervasive computing environment). In order to overcome these limitations, Markov State Transition Based Fault Tolerance (MST-FT) Model is proposed. The main objective of MST-FT Model is to achieve resource efficient QoS in pervasive computing environment by avoiding the link failures and unwanted mobile node usages. Initially, the optimization of link failures is achieved by maintaining Markov chain of high energy mobile nodes on the wireless network communication path. The mobile nodes with higher energy and minimal drain rate are combined to form a chain in its corresponding path of communication in order to minimize the link failures in pervasive computing. Next, the inappropriate mobile node usage is avoided by selecting only the authorized mobile nodes for Markov chain construction to effective network communication, which resulting in improved fault tolerant rate. Therefore, MST-FT Model provides higher resource efficient QoS as compared to existing works. The performance of MST-FT Model is measured in terms of fault tolerant rate, execution time, energy consumption rate and quality of service level. The simulation results show that the MST-FT Model is able to improve the fault tolerant rate by 13% and also reduces the energy consumption rate of resource efficient QoS by 25%, when compared to previous works.

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Section: Resultsmentioning

confidence: 99%

Section: Simulation Settingmentioning

confidence: 99%