CloudScout: A Non-Intrusive Approach to Service Dependency Discovery

Hybrid services use different protocols on various networks, such as WIFI networks, Bluetooth networks, 5G communications systems, and wireless sensor networks. Hybrid service compositions can be varied, representing an effective method of integrating into wireless scenarios context-aware applications that can sense mobility via changes in user location and combining services to support target functions. In this article, improved particle swarm optimization is introduced into the quality service evaluation of dynamic service composition to meet the mobility requirements of hybrid networks. First, this work classifies hybrid services into different task groups to generate candidate sets and then interface matching is used to compare the operations of candidate services with user requirements to select the appropriate services. Second, the service composition is determined by the particle swarm optimization simulation process, which aims to identify an optimal plan based on the calculated value from quality of service. Third, considering a change of service repository, when the quality of a composite service is lower than a predefined threshold, the local greedy algorithm and global reconfiguration method are adopted to dynamically restructure composite services. Finally, a set of experiments is conducted to demonstrate the effectiveness of the proposed method for determining the dynamic service composition, particularly when the scale of hybrid services is large. The method provides a technical reference for engineering practice that will fulfill mobile computing needs.

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“…where K1 are K2 are negative values and K3 is a positive value 29,30 K1 =À 1= n Ã max price CS i ½ ð Þ ð Þ ð Þ ð 2Þ…”

Section: Ipso-based Dynamic Service Compositionmentioning

confidence: 99%

Applying improved particle swarm optimization for dynamic service composition focusing on quality of service evaluations under hybrid networks

Gao

Zhang

Yang

et al. 2018

International Journal of Distributed Sensor Networks

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“…The guidance consists a semantically pragmatic 39 measurement of artifacts and activities on data sharing, information lifecycle and knowledge creation. Yin et al 20,21 have proposed a non-intrusive approach named CloudScout that is capable of automatically discovering dependent service components through analysis of correlation among service components based on time-series information from system monitoring logs. To ease the distinguishing among basic concerns such as expectations of stakeholders, we create a meta process to abstract transferring of data, information, and knowledge at the requirement side top-down from business planning to service composition, model artifacts reflecting the expectation of stakeholders being implemented gradually.…”

Section: Modeling Of Stakeholders' Expectation and Their Deviationmentioning

confidence: 99%

“…19 Traditional methods toward quality-of-service prediction suffer from a series of defects such as failing to handle data sparsity. 20,21 Empirical knowledge and statistical models [22][23][24] are effective for project management related to software quality properties but not linked directly between quality properties and specific design activities. The complexity of the interleaving of scopes of quality properties 25 constitutes a challenge for comprehensive synthesis and analysis.…”

Section: Introductionmentioning

confidence: 99%

Data, information, and knowledge-driven manipulation between strategical planning and technical implementation for wireless sensor network construction

Duan

Shao

Yang

et al. 2017

International Journal of Distributed Sensor Networks

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To provide guidance to and integrate directly with the information technology side implementation to achieve coherent data, information, and knowledge coordination and robust value-oriented adaptability for maximization of business profitability, we propose to leverage the ideology of service economics to achieve bidirectional computational bridging between business planning and technical implementation of ubiquitous services/XaaS in the application program interface economy for promoting the macro-service market, especially in global value chains. Enlightened by value-driven design, we propose a systemic formalization from value calculation to design quality measurement which binds the technical modification and variation on design artifacts with business value strategy through a framework of managed quality properties in a wireless sensor network-based service system creation process. In the process of building a service system, we use data, information, and knowledge flow to abstract various data, information, and knowledge manipulation and usage scenarios. We propose to improve system reliability and robustness by managing data and information reuse, redundancy as well as structure.

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“…None of the above approaches can solve the maximum range counting problem, which distinguishes BMRC from them. Moreover, the maximum range counting problem can also be applied to areas other than sensor network, e.g., service [ 18 ] and mobile computing [ 19 ], hence, it is meaningful to solve this problem.…”

Section: Related Workmentioning

confidence: 99%

BMRC: A Bitmap-Based Maximum Range Counting Approach for Temporal Data in Sensor Monitoring Networks

Cao

Chen

Shen

et al. 2017

Sensors

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Due to the rapid development of the Internet of Things (IoT), many feasible deployments of sensor monitoring networks have been made to capture the events in physical world, such as human diseases, weather disasters and traffic accidents, which generate large-scale temporal data. Generally, the certain time interval that results in the highest incidence of a severe event has significance for society. For example, there exists an interval that covers the maximum number of people who have the same unusual symptoms, and knowing this interval can help doctors to locate the reason behind this phenomenon. As far as we know, there is no approach available for solving this problem efficiently. In this paper, we propose the Bitmap-based Maximum Range Counting (BMRC) approach for temporal data generated in sensor monitoring networks. Since sensor nodes can update their temporal data at high frequency, we present a scalable strategy to support the real-time insert and delete operations. The experimental results show that the BMRC outperforms the baseline algorithm in terms of efficiency.

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CloudScout: A Non-Intrusive Approach to Service Dependency Discovery

Cited by 24 publications

References 22 publications

Applying improved particle swarm optimization for dynamic service composition focusing on quality of service evaluations under hybrid networks

Applying improved particle swarm optimization for dynamic service composition focusing on quality of service evaluations under hybrid networks

Data, information, and knowledge-driven manipulation between strategical planning and technical implementation for wireless sensor network construction

BMRC: A Bitmap-Based Maximum Range Counting Approach for Temporal Data in Sensor Monitoring Networks

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