The Experts below are selected from a list of 1269 Experts worldwide ranked by ideXlab platform
Chithralekha Balamurugan - One of the best experts on this subject based on the ideXlab platform.
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SCC - Service Assurance Sustaining Enterprise Task Crowdsourcing Service
2016 IEEE International Conference on Services Computing (SCC), 2016Co-Authors: Chithralekha Balamurugan, Karan K. BudhrajaAbstract:Service Assured task execution is an exemplary need for Enterprise Task Crowdsourcing, even when crowdsourcing tasks on open and public crowdosourcing platforms, which are characteristic of non-committed and discretionary task execution by crowd workers. Service Assurance (SA) has broader semantics than SLA fulfillment in the context of enterprise task crowdsourcing, as explained in our previous work on Service Assurance Framework for Enterprise task crowdsourcing. The framework is designed for open crowd platforms and enables to map a given requester SLA to worker SA requirements and select crowd workers who evince high probability of SA requirement fulfillment. Even with these select crowd workers, it might not be possible to implicitly assume the sustenance of workers' expected SA (which is computed based on workers' prior task executions) in the day to day task executions on the Enterprise Requester tasks, owing to the unbinding task execution facilitated by the open crowd platforms. This might result in defaulting in requester SLA fulfillment, rendering the worker selection (by the framework) futile. Hence, in addition to selecting the required SA fulfilling workers, it is essential to employ suitable SA sustaining strategies in place for sustaining the SA expected of workers. The SA Sustaining Strategies and the Service Assurance Framework together constitute for the Service Assurance Sustaining Enterprise Task Crowdsourcing Service (SAS Service)for Enterprise Tasks, which is deliberated in this paper. The SAS Service's performance is validated using appropriate crowd experiments.
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Service Assurance Sustaining Enterprise Task Crowdsourcing Service
2016 IEEE International Conference on Services Computing (SCC), 2016Co-Authors: Chithralekha Balamurugan, Karan K. BudhrajaAbstract:Service Assured task execution is an exemplary need for Enterprise Task Crowdsourcing, even when crowdsourcing tasks on open and public crowdosourcing platforms, which are characteristic of non-committed and discretionary task execution by crowd workers. Service Assurance (SA) has broader semantics than SLA fulfillment in the context of enterprise task crowdsourcing, as explained in our previous work on Service Assurance Framework for Enterprise task crowdsourcing. The framework is designed for open crowd platforms and enables to map a given requester SLA to worker SA requirements and select crowd workers who evince high probability of SA requirement fulfillment. Even with these select crowd workers, it might not be possible to implicitly assume the sustenance of workers' expected SA (which is computed based on workers' prior task executions) in the day to day task executions on the Enterprise Requester tasks, owing to the unbinding task execution facilitated by the open crowd platforms. This might result in defaulting in requester SLA fulfillment, rendering the worker selection (by the framework) futile. Hence, in addition to selecting the required SA fulfilling workers, it is essential to employ suitable SA sustaining strategies in place for sustaining the SA expected of workers. The SA Sustaining Strategies and the Service Assurance Framework together constitute for the Service Assurance Sustaining Enterprise Task Crowdsourcing Service (SAS Service)for Enterprise Tasks, which is deliberated in this paper. The SAS Service's performance is validated using appropriate crowd experiments.
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SCC - Service Assurance Framework for Enterprise Task Crowdsourcing
2015 IEEE International Conference on Services Computing, 2015Co-Authors: Chithralekha Balamurugan, Shruti Kunde, Avantika Gupta, Deepthi Chander, Koustuv DasguptaAbstract:Crowd sourcing platforms enable enterprise requesters to leverage the online workforce to process voluminous enterprise tasks on a regular basis. Web Services provided by these platforms facilitate requesters to post tasks, retrieve results and incentivize crowd workers. However, Service Assurance associated with task execution by crowd workers is not provided by these platforms. Owing to the flexible, uncommitted, discretionary working patterns of online crowd workers, Service Assurance for task execution is considered to be beyond the Service Assurance offerings of existing crowd sourcing platforms. Enterprises however, require these guarantees to be able to adopt crowd sourcing in a profound manner. In this paper, we propose a Service Assurance Framework as a crowd sourcing platform augmenting Service, that provides Service Assurance for task execution by crowd workers. The framework helps enterprise requesters to identify and engage with workers who possess suitable Service Assurance attributes. To the best of our knowledge, this work is a first of its kind, in providing Service Assurance associated with task execution by crowd workers, with respect to enterprise tasks. We implemented the proposed framework and conducted a four-week long, large scale crowd sourcing experiment involving digitization of forms posted by an enterprise requester. Our results validate the efficacy of the proposed Service Assurance framework for enterprise crowd sourcing and advocate its adoption.
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Service Assurance Framework for Enterprise Task Crowdsourcing
2015 IEEE International Conference on Services Computing, 2015Co-Authors: Chithralekha Balamurugan, Shruti Kunde, Avantika Gupta, Deepthi Chander, Koustuv DasguptaAbstract:Crowd sourcing platforms enable enterprise requesters to leverage the online workforce to process voluminous enterprise tasks on a regular basis. Web Services provided by these platforms facilitate requesters to post tasks, retrieve results and incentivize crowd workers. However, Service Assurance associated with task execution by crowd workers is not provided by these platforms. Owing to the flexible, uncommitted, discretionary working patterns of online crowd workers, Service Assurance for task execution is considered to be beyond the Service Assurance offerings of existing crowd sourcing platforms. Enterprises however, require these guarantees to be able to adopt crowd sourcing in a profound manner. In this paper, we propose a Service Assurance Framework as a crowd sourcing platform augmenting Service, that provides Service Assurance for task execution by crowd workers. The framework helps enterprise requesters to identify and engage with workers who possess suitable Service Assurance attributes. To the best of our knowledge, this work is a first of its kind, in providing Service Assurance associated with task execution by crowd workers, with respect to enterprise tasks. We implemented the proposed framework and conducted a four-week long, large scale crowd sourcing experiment involving digitization of forms posted by an enterprise requester. Our results validate the efficacy of the proposed Service Assurance framework for enterprise crowd sourcing and advocate its adoption.
Karan K. Budhraja - One of the best experts on this subject based on the ideXlab platform.
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SCC - Service Assurance Sustaining Enterprise Task Crowdsourcing Service
2016 IEEE International Conference on Services Computing (SCC), 2016Co-Authors: Chithralekha Balamurugan, Karan K. BudhrajaAbstract:Service Assured task execution is an exemplary need for Enterprise Task Crowdsourcing, even when crowdsourcing tasks on open and public crowdosourcing platforms, which are characteristic of non-committed and discretionary task execution by crowd workers. Service Assurance (SA) has broader semantics than SLA fulfillment in the context of enterprise task crowdsourcing, as explained in our previous work on Service Assurance Framework for Enterprise task crowdsourcing. The framework is designed for open crowd platforms and enables to map a given requester SLA to worker SA requirements and select crowd workers who evince high probability of SA requirement fulfillment. Even with these select crowd workers, it might not be possible to implicitly assume the sustenance of workers' expected SA (which is computed based on workers' prior task executions) in the day to day task executions on the Enterprise Requester tasks, owing to the unbinding task execution facilitated by the open crowd platforms. This might result in defaulting in requester SLA fulfillment, rendering the worker selection (by the framework) futile. Hence, in addition to selecting the required SA fulfilling workers, it is essential to employ suitable SA sustaining strategies in place for sustaining the SA expected of workers. The SA Sustaining Strategies and the Service Assurance Framework together constitute for the Service Assurance Sustaining Enterprise Task Crowdsourcing Service (SAS Service)for Enterprise Tasks, which is deliberated in this paper. The SAS Service's performance is validated using appropriate crowd experiments.
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Service Assurance Sustaining Enterprise Task Crowdsourcing Service
2016 IEEE International Conference on Services Computing (SCC), 2016Co-Authors: Chithralekha Balamurugan, Karan K. BudhrajaAbstract:Service Assured task execution is an exemplary need for Enterprise Task Crowdsourcing, even when crowdsourcing tasks on open and public crowdosourcing platforms, which are characteristic of non-committed and discretionary task execution by crowd workers. Service Assurance (SA) has broader semantics than SLA fulfillment in the context of enterprise task crowdsourcing, as explained in our previous work on Service Assurance Framework for Enterprise task crowdsourcing. The framework is designed for open crowd platforms and enables to map a given requester SLA to worker SA requirements and select crowd workers who evince high probability of SA requirement fulfillment. Even with these select crowd workers, it might not be possible to implicitly assume the sustenance of workers' expected SA (which is computed based on workers' prior task executions) in the day to day task executions on the Enterprise Requester tasks, owing to the unbinding task execution facilitated by the open crowd platforms. This might result in defaulting in requester SLA fulfillment, rendering the worker selection (by the framework) futile. Hence, in addition to selecting the required SA fulfilling workers, it is essential to employ suitable SA sustaining strategies in place for sustaining the SA expected of workers. The SA Sustaining Strategies and the Service Assurance Framework together constitute for the Service Assurance Sustaining Enterprise Task Crowdsourcing Service (SAS Service)for Enterprise Tasks, which is deliberated in this paper. The SAS Service's performance is validated using appropriate crowd experiments.
Xiaodong Lu - One of the best experts on this subject based on the ideXlab platform.
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Service Assurance packet-scheduling algorithm for a future aeronautical mobile communication system
Simulation Modelling Practice and Theory, 2020Co-Authors: Kazuyuki Morioka, Xiaodong Lu, Junichi Naganawa, Norihiko Miyazaki, Naruto Yonemoto, Yasuto Sumiya, Akiko KohmuraAbstract:Abstract In recent years, realizing safe and efficient air traffic management (ATM) has become one of the most important social issues because of the rapid increase in air traffic volume. To realize safe and efficient ATM, it is necessary for related stakeholders to share aeronautical big data by connecting to aircrafts and ground systems efficiently and globally. However, the current aeronautical communication systems are not adapted to be used in support of global collaborative decision making (CDM) through information exchange. In order to accelerate the implementation of information collaborative environment and improve operational awareness in the aeronautical domain, this study focuses on an information platform for sharing aeronautical big data, and a communication medium for achieving Internet of aeronautical things. This paper proposes a new packet-scheduling algorithm for a next-generation aeronautical mobile communication system that includes various types of Services and devices. The algorithm balances Service Assurance and Service fairness using strict priorities for real-time Services and loose priorities for non-real-time Services. Performance evaluations were conducted using a network simulator to confirm the effectiveness of the proposed algorithm. First, a simple single-device scenario was utilized to confirm the effectiveness of the quality of Service function for an aeronautical mobile communication system. Second, a multiple-device scenario was employed to evaluate the performance of the proposed scheduler. Finally, an airport scenario was used to demonstrate the effectiveness of our algorithm in a more practical situation. Furthermore, we show that the airport scenario is useful for evaluating the overall performance of a new aeronautical mobile communication system in the system introduction phase or cell design phase.
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real time oriented system wide information management for Service Assurance
International Symposium on Autonomous Decentralized Systems, 2015Co-Authors: Xiaodong Lu, Tadashi KogaAbstract:With the rapid increase in local and global air traffic, the system-wide operational information exchange and life-cycle management technologies are required to improve the capacity, safety and efficiency of Air Traffic Management (ATM) system. The System Wide Information Management (SWIM) concept is to change the conventional ATM information architecture from point-to-point data exchanges to system-wide interoperability. In this paper, the concept, architecture and design technologies of a real-time oriented multi-layer SWIM system architecture for Service Assurance are discussed. Moreover, to promote the development of SWIM, the project of Mini Global demonstration has been conducted by the Federal Aviation Administration (FAA) to exchange air transportation information among different Air Navigation Service Providers (ANSPs) by using standardized information exchange models. This paper also introduces the results of this demonstration and the lessons learned from this experience.
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ISADS - Real-Time Oriented System Wide Information Management for Service Assurance
2015 IEEE Twelfth International Symposium on Autonomous Decentralized Systems, 2015Co-Authors: Xiaodong Lu, Tadashi KogaAbstract:With the rapid increase in local and global air traffic, the system-wide operational information exchange and life-cycle management technologies are required to improve the capacity, safety and efficiency of Air Traffic Management (ATM) system. The System Wide Information Management (SWIM) concept is to change the conventional ATM information architecture from point-to-point data exchanges to system-wide interoperability. In this paper, the concept, architecture and design technologies of a real-time oriented multi-layer SWIM system architecture for Service Assurance are discussed. Moreover, to promote the development of SWIM, the project of Mini Global demonstration has been conducted by the Federal Aviation Administration (FAA) to exchange air transportation information among different Air Navigation Service Providers (ANSPs) by using standardized information exchange models. This paper also introduces the results of this demonstration and the lessons learned from this experience.
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ServiceS - Autonomous Decentralized Community Construction and Reconstruction Technology for Service Assurance
2010 6th World Congress on Services, 2010Co-Authors: Riyako Sakamoto, Xiaodong Lu, Khalid Mahmood, Yuuya Kanamaru, Kinji MoriAbstract:Recent headway in the domains of mobile communication and ubiquitous computing has given surge of interest to mobile commerce applications. Current information systems promote concept of information Service provision to anyone, anytime and anywhere. Autonomous Decentralized Community System has been proposed to meet the varying requirements of users. In this paper, the decentralized search Service is taken up as an application. This retrieves Service in which the Service offer end time has been decided beforehand. Needs of this application are the accuracy, the adaptability, and the improvement of the Assurance is requested. There are two requirements in this Service. First, it is to prevent the network being crowded with the request message from the node where SP that can enjoy serving doesn't exist. And, it is to prevent the stability of the entire system from decreasing to update cash information. To solve these, it proposed the Autonomous Construction Technology and the Autonomous Change Adjustment Technology. Simulation results demonstrate the effectiveness of proposed technology in terms of improvement in Service Assurance and confirms the trade-off between accuracy and system stability.
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Autonomous information Services integration architecture for Service Assurance in multi-agent systems
2009 International Symposium on Autonomous Decentralized Systems, 2009Co-Authors: Xiaodong Lu, Kinji MoriAbstract:The market and users' requirements have been rapidly changing and diversified. Under these heterogeneous and dynamic situations, not only the system structure itself, but also the accessible information Services would be changed constantly. To cope with the continuously changing conditions of Service provision and utilization, faded information field (FIF) has been proposed, which is an agent-based distributed information Service system architecture. In the case of a mono Service request, the system is designed to improve users' access time and preserve load balancing through the information structure. However, with interdependent requests of multi Service increasing, adaptability, reliability and timeliness have to be assured by the system. In this paper, the relationship between the timeliness and the reliability of correlated Services allocation and access is clarified. Based on these factors, the autonomous network based heterogeneous information Services integration technology to provide one stop Service for users' multiService requests is proposed. The simulation results show the effectiveness of the proposed technology in comparison with the conventional systems.
Koustuv Dasgupta - One of the best experts on this subject based on the ideXlab platform.
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SCC - Service Assurance Framework for Enterprise Task Crowdsourcing
2015 IEEE International Conference on Services Computing, 2015Co-Authors: Chithralekha Balamurugan, Shruti Kunde, Avantika Gupta, Deepthi Chander, Koustuv DasguptaAbstract:Crowd sourcing platforms enable enterprise requesters to leverage the online workforce to process voluminous enterprise tasks on a regular basis. Web Services provided by these platforms facilitate requesters to post tasks, retrieve results and incentivize crowd workers. However, Service Assurance associated with task execution by crowd workers is not provided by these platforms. Owing to the flexible, uncommitted, discretionary working patterns of online crowd workers, Service Assurance for task execution is considered to be beyond the Service Assurance offerings of existing crowd sourcing platforms. Enterprises however, require these guarantees to be able to adopt crowd sourcing in a profound manner. In this paper, we propose a Service Assurance Framework as a crowd sourcing platform augmenting Service, that provides Service Assurance for task execution by crowd workers. The framework helps enterprise requesters to identify and engage with workers who possess suitable Service Assurance attributes. To the best of our knowledge, this work is a first of its kind, in providing Service Assurance associated with task execution by crowd workers, with respect to enterprise tasks. We implemented the proposed framework and conducted a four-week long, large scale crowd sourcing experiment involving digitization of forms posted by an enterprise requester. Our results validate the efficacy of the proposed Service Assurance framework for enterprise crowd sourcing and advocate its adoption.
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Service Assurance Framework for Enterprise Task Crowdsourcing
2015 IEEE International Conference on Services Computing, 2015Co-Authors: Chithralekha Balamurugan, Shruti Kunde, Avantika Gupta, Deepthi Chander, Koustuv DasguptaAbstract:Crowd sourcing platforms enable enterprise requesters to leverage the online workforce to process voluminous enterprise tasks on a regular basis. Web Services provided by these platforms facilitate requesters to post tasks, retrieve results and incentivize crowd workers. However, Service Assurance associated with task execution by crowd workers is not provided by these platforms. Owing to the flexible, uncommitted, discretionary working patterns of online crowd workers, Service Assurance for task execution is considered to be beyond the Service Assurance offerings of existing crowd sourcing platforms. Enterprises however, require these guarantees to be able to adopt crowd sourcing in a profound manner. In this paper, we propose a Service Assurance Framework as a crowd sourcing platform augmenting Service, that provides Service Assurance for task execution by crowd workers. The framework helps enterprise requesters to identify and engage with workers who possess suitable Service Assurance attributes. To the best of our knowledge, this work is a first of its kind, in providing Service Assurance associated with task execution by crowd workers, with respect to enterprise tasks. We implemented the proposed framework and conducted a four-week long, large scale crowd sourcing experiment involving digitization of forms posted by an enterprise requester. Our results validate the efficacy of the proposed Service Assurance framework for enterprise crowd sourcing and advocate its adoption.
Kinji Mori - One of the best experts on this subject based on the ideXlab platform.
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Autonomous Decentralized Community Construction and Reconstruction Technology for Service Assurance
2010 6th World Congress on Services, 2010Co-Authors: Riyako Sakamoto, Khalid Mahmood, Yuuya Kanamaru, X. Lu, Kinji MoriAbstract:Recent headway in the domains of mobile communication and ubiquitous computing has given surge of interest to mobile commerce applications. Current information systems promote concept of information Service provision to anyone, anytime and anywhere. Autonomous Decentralized Community System has been proposed to meet the varying requirements of users. In this paper, the decentralized search Service is taken up as an application. This retrieves Service in which the Service offer end time has been decided beforehand. Needs of this application are the accuracy, the adaptability, and the improvement of the Assurance is requested. There are two requirements in this Service. First, it is to prevent the network being crowded with the request message from the node where SP that can enjoy serving doesn't exist. And, it is to prevent the stability of the entire system from decreasing to update cash information. To solve these, it proposed the Autonomous Construction Technology and the Autonomous Change Adjustment Technology. Simulation results demonstrate the effectiveness of proposed technology in terms of improvement in Service Assurance and confirms the trade-off between accuracy and system stability.
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ServiceS - Autonomous Decentralized Community Construction and Reconstruction Technology for Service Assurance
2010 6th World Congress on Services, 2010Co-Authors: Riyako Sakamoto, Xiaodong Lu, Khalid Mahmood, Yuuya Kanamaru, Kinji MoriAbstract:Recent headway in the domains of mobile communication and ubiquitous computing has given surge of interest to mobile commerce applications. Current information systems promote concept of information Service provision to anyone, anytime and anywhere. Autonomous Decentralized Community System has been proposed to meet the varying requirements of users. In this paper, the decentralized search Service is taken up as an application. This retrieves Service in which the Service offer end time has been decided beforehand. Needs of this application are the accuracy, the adaptability, and the improvement of the Assurance is requested. There are two requirements in this Service. First, it is to prevent the network being crowded with the request message from the node where SP that can enjoy serving doesn't exist. And, it is to prevent the stability of the entire system from decreasing to update cash information. To solve these, it proposed the Autonomous Construction Technology and the Autonomous Change Adjustment Technology. Simulation results demonstrate the effectiveness of proposed technology in terms of improvement in Service Assurance and confirms the trade-off between accuracy and system stability.
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Autonomous information Services integration architecture for Service Assurance in multi-agent systems
2009 International Symposium on Autonomous Decentralized Systems, 2009Co-Authors: Xiaodong Lu, Kinji MoriAbstract:The market and users' requirements have been rapidly changing and diversified. Under these heterogeneous and dynamic situations, not only the system structure itself, but also the accessible information Services would be changed constantly. To cope with the continuously changing conditions of Service provision and utilization, faded information field (FIF) has been proposed, which is an agent-based distributed information Service system architecture. In the case of a mono Service request, the system is designed to improve users' access time and preserve load balancing through the information structure. However, with interdependent requests of multi Service increasing, adaptability, reliability and timeliness have to be assured by the system. In this paper, the relationship between the timeliness and the reliability of correlated Services allocation and access is clarified. Based on these factors, the autonomous network based heterogeneous information Services integration technology to provide one stop Service for users' multiService requests is proposed. The simulation results show the effectiveness of the proposed technology in comparison with the conventional systems.
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autonomous community construction technology to achieve Service Assurance in adcs
IEICE Transactions on Information and Systems, 2008Co-Authors: Khalid Mahmood, Xiaodong Lu, Kinji MoriAbstract:Autonomous Decentralized Community System (ADCS) makes its basis on offering customized and dynamic Services to group of end-users having common preferences at specified time and location. Owing to extreme dynamism in the system caused by rapidly varying user's demands, and severe mobility of users, it is quite difficult to assure timely Service provision to all community members. This paper presents autonomous decentralized community system construction by autonomous division and integration technologies to procure Service Assurance under dynamic situations, without involving significant communication overhead. By adopting the concept of size threshold, the proposed technique continuously maintains the appropriate size of community in constantly and rapidly changing operating environment, to deliver optimal quality of Service in terms of response time. The effectiveness of proposed technology has been shown through simulation, which reveals remarkable improvement (up to 29%) in response time.
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Autonomous Decentralized VoD Architecture to Achieve Service Assurance
2008 The 28th International Conference on Distributed Computing Systems Workshops, 2008Co-Authors: Xiaodong Lu, Kinji MoriAbstract:In distributed and ubiquitous computing systems, they have been utilized under the evolving situation where the system structure itself, the composing subsystems, their functions, the accessible information would be changed constantly. With the advances of compression, storage and network technologies, video on demand (VoD) Service is becoming more and more popular. However, it is difficult for conventional systems to meet the continuous and heterogeneous requirements from Service providers and users simultaneously. This paper introduces an autonomous decentralized VoD system sustained by mobile agents for information Service provision and utilization. Under the proposed architecture, autonomous coordination technology for node adjustment is proposed to achieve load balance and continuous Service in the situation of changing users preference. The effectiveness of the proposed technology is proved by the simulation.
