Pub Date : 2018-07-01DOI: 10.1109/SOLI.2018.8476747
Renuga Kanagavelu, Yongqing Zhu, Khin Mi Mi Aung
As storage systems grow to Petascale, the demand for object storage increases. In a large scale heterogeneous object storage systems, efficient selection of storage targets for placing objects is critically important since the performance depends on even distribution of objects across storage targets. An efficient storage target selection for object placement depends not only on available storage target capacity but also network bandwidth. The storage target selection based either only on the available storage capacity or only on the available network bandwidth may not result in the optimal usage of storage/network resources to achieve the performance. The object placement under heterogeneous environment considering load balancing is a challenging problem. There is a need to orchestrate the network and storage resources with efficient object to storage mapping. In this paper, we present an efficient and scalable object placement strategy using software-defined networking (SDN) technique. We demonstrate the effectiveness of our method through simulation results and compare with Distributed Hash Table (DHT) method.
{"title":"TOSS: Traffic-aware distributed object-based storage using software-defined networks","authors":"Renuga Kanagavelu, Yongqing Zhu, Khin Mi Mi Aung","doi":"10.1109/SOLI.2018.8476747","DOIUrl":"https://doi.org/10.1109/SOLI.2018.8476747","url":null,"abstract":"As storage systems grow to Petascale, the demand for object storage increases. In a large scale heterogeneous object storage systems, efficient selection of storage targets for placing objects is critically important since the performance depends on even distribution of objects across storage targets. An efficient storage target selection for object placement depends not only on available storage target capacity but also network bandwidth. The storage target selection based either only on the available storage capacity or only on the available network bandwidth may not result in the optimal usage of storage/network resources to achieve the performance. The object placement under heterogeneous environment considering load balancing is a challenging problem. There is a need to orchestrate the network and storage resources with efficient object to storage mapping. In this paper, we present an efficient and scalable object placement strategy using software-defined networking (SDN) technique. We demonstrate the effectiveness of our method through simulation results and compare with Distributed Hash Table (DHT) method.","PeriodicalId":424115,"journal":{"name":"2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126816380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/SOLI.2018.8476803
G.A.D.T. Lakmali, Pradeepa Jayaratne
{"title":"Economic Impacts of Applying Green Supply Chain Management Practices in Organizations in Sri Lanka","authors":"G.A.D.T. Lakmali, Pradeepa Jayaratne","doi":"10.1109/SOLI.2018.8476803","DOIUrl":"https://doi.org/10.1109/SOLI.2018.8476803","url":null,"abstract":"","PeriodicalId":424115,"journal":{"name":"2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126632363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/SOLI.2018.8476716
Mei Sun, X. Qing, Nasimuddin, Xiaoming Peng, Zhi Ning Chen
In this paper, a patented compact planar full-range switched beam grid array antenna (GAA) is proposed for millimeter wave applications. By positioning the feeding points properly, the GAA is able to generate full-range switched beams with a specific coverage, for example, a GAA with 17 feeding ports generates 17 beams within a solid angle of θ = 14.1° to 26.3° with the directivity range from 15.3 dBi to 18.3 dBi at 93 GHz. For the 77-GHz smart car radar application, the GAA can produce 4 beams with ±15° scanning range and peak gain >18 dBi. The GAA on low cost printed circuit board (PCB) is with extremely compact structure, namely, its size is 1/70 of a conventional transmit-array.
{"title":"Millimeter Wave Planar Full-range Switched Beam Grid Array Antenna and its Smart Car Radar Applications","authors":"Mei Sun, X. Qing, Nasimuddin, Xiaoming Peng, Zhi Ning Chen","doi":"10.1109/SOLI.2018.8476716","DOIUrl":"https://doi.org/10.1109/SOLI.2018.8476716","url":null,"abstract":"In this paper, a patented compact planar full-range switched beam grid array antenna (GAA) is proposed for millimeter wave applications. By positioning the feeding points properly, the GAA is able to generate full-range switched beams with a specific coverage, for example, a GAA with 17 feeding ports generates 17 beams within a solid angle of θ = 14.1° to 26.3° with the directivity range from 15.3 dBi to 18.3 dBi at 93 GHz. For the 77-GHz smart car radar application, the GAA can produce 4 beams with ±15° scanning range and peak gain >18 dBi. The GAA on low cost printed circuit board (PCB) is with extremely compact structure, namely, its size is 1/70 of a conventional transmit-array.","PeriodicalId":424115,"journal":{"name":"2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122004524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/SOLI.2018.8476729
B. Hettiarachchi, H. Bandara, N. A. Samarasekera
Ready-Mixed Concrete (RMC) is a perishable product; hence, specifications such as ASTM C94 recommend the delivery of RMC under 1.5 hours to ensure the quality. It is known that certain scheduling practices and driving behaviors lead to operational inefficiencies and poor-quality RMC. We propose a model to schedule RMC trucks while maximizing both the job coverage and profit, as well as meeting constraints such as ASTM C94 and continuous casting. The proposed solution consists of a rule checker and a scheduler. Rule checker enforces constraints such as deadlines, working hours, travel time. The scheduler uses simulated annealing to assign as many jobs as possible while maximizing the overall profit. We consider scenarios where trucks are attached to a given RMC plant, as well as allowed to move across plants as per the job requirements Using a workload derived from an actual RMC delivery company; we demonstrate that the proposed solution has good coverage of jobs while maximizing the overall profit. For example, compared to the manual job allocation, proposed solution increases the average job coverage and profit by 13% and 9%, respectively. When trucks are allowed to move across plants, job coverage and profit increase to 16% and 14%, respectively. By automatically adjusting the first unload time by a few 10s of minutes to reduce job conflicts we further enhanced above numbers by 21% and 13%, respectively.
{"title":"Automated Multi-Plant Scheduling of Ready-Mixed Concrete Trucks","authors":"B. Hettiarachchi, H. Bandara, N. A. Samarasekera","doi":"10.1109/SOLI.2018.8476729","DOIUrl":"https://doi.org/10.1109/SOLI.2018.8476729","url":null,"abstract":"Ready-Mixed Concrete (RMC) is a perishable product; hence, specifications such as ASTM C94 recommend the delivery of RMC under 1.5 hours to ensure the quality. It is known that certain scheduling practices and driving behaviors lead to operational inefficiencies and poor-quality RMC. We propose a model to schedule RMC trucks while maximizing both the job coverage and profit, as well as meeting constraints such as ASTM C94 and continuous casting. The proposed solution consists of a rule checker and a scheduler. Rule checker enforces constraints such as deadlines, working hours, travel time. The scheduler uses simulated annealing to assign as many jobs as possible while maximizing the overall profit. We consider scenarios where trucks are attached to a given RMC plant, as well as allowed to move across plants as per the job requirements Using a workload derived from an actual RMC delivery company; we demonstrate that the proposed solution has good coverage of jobs while maximizing the overall profit. For example, compared to the manual job allocation, proposed solution increases the average job coverage and profit by 13% and 9%, respectively. When trucks are allowed to move across plants, job coverage and profit increase to 16% and 14%, respectively. By automatically adjusting the first unload time by a few 10s of minutes to reduce job conflicts we further enhanced above numbers by 21% and 13%, respectively.","PeriodicalId":424115,"journal":{"name":"2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125255315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/SOLI.2018.8476789
Yu Luo, Zhi Ning Chen
A phased array antenna with enhanced scanning angle range is proposed in this paper. To enhance the scanning angle range of the 8-element phased array antenna, a concave-convex lens is employed. The simulated results shown that without the concave-convex lens, the gain is 20.3 dBi when the scanning angle is 0° and 17.6 dBi when the scanning angle is 31°. With the addition of the concave-convex lens, the gain is enhanced to 23.4 dBi when the scanning angle is 0° and 22 dBi when the scanning angle is 36°.
{"title":"A Scanning Angle Range Enhanced Phased Array Antenna Using Concave-Convex Lens","authors":"Yu Luo, Zhi Ning Chen","doi":"10.1109/SOLI.2018.8476789","DOIUrl":"https://doi.org/10.1109/SOLI.2018.8476789","url":null,"abstract":"A phased array antenna with enhanced scanning angle range is proposed in this paper. To enhance the scanning angle range of the 8-element phased array antenna, a concave-convex lens is employed. The simulated results shown that without the concave-convex lens, the gain is 20.3 dBi when the scanning angle is 0° and 17.6 dBi when the scanning angle is 31°. With the addition of the concave-convex lens, the gain is enhanced to 23.4 dBi when the scanning angle is 0° and 22 dBi when the scanning angle is 36°.","PeriodicalId":424115,"journal":{"name":"2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126481402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/SOLI.2018.8476766
N. A. C. M. Keerthisinghe, H. Bandara, N. A. Samarasekera
Truck and driver scheduling in multi-plant heavy goods distribution is a complex problem due to geographically distributed customer sites and plants, truck conditions, and working and resting hour constraints. Moreover, we need to satisfy conflicting objectives such as maximizing order coverage and minimizing of overall costs. We propose an automated truck and driver scheduling solution which consists of a rule checker and a scheduler. Rule checker enforces constraints and conditions such as driver and truck availability, delivery time constraints, and operating and resting hours. A scheduler that uses simulated annealing is proposed to cover as many orders as possible while minimizing the overall cost. The utility of the proposed solution is tested using a workload derived from a real-world bulk-cement distribution company. The results show good coverage of orders where the coverage increased by more than 10% compared to manual scheduling while minimizing the total cost by 35%, as well as enhancing the customer satisfaction and the safety of drivers.
{"title":"Optimization of Truck and Driver Scheduling Using Simulated Annealing","authors":"N. A. C. M. Keerthisinghe, H. Bandara, N. A. Samarasekera","doi":"10.1109/SOLI.2018.8476766","DOIUrl":"https://doi.org/10.1109/SOLI.2018.8476766","url":null,"abstract":"Truck and driver scheduling in multi-plant heavy goods distribution is a complex problem due to geographically distributed customer sites and plants, truck conditions, and working and resting hour constraints. Moreover, we need to satisfy conflicting objectives such as maximizing order coverage and minimizing of overall costs. We propose an automated truck and driver scheduling solution which consists of a rule checker and a scheduler. Rule checker enforces constraints and conditions such as driver and truck availability, delivery time constraints, and operating and resting hours. A scheduler that uses simulated annealing is proposed to cover as many orders as possible while minimizing the overall cost. The utility of the proposed solution is tested using a workload derived from a real-world bulk-cement distribution company. The results show good coverage of orders where the coverage increased by more than 10% compared to manual scheduling while minimizing the total cost by 35%, as well as enhancing the customer satisfaction and the safety of drivers.","PeriodicalId":424115,"journal":{"name":"2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129484979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/SOLI.2018.8476718
Zhigang Zhao, Huaqun Guo
Configuration of large-scale networks is difficult and error-prone. Misconfigurations known as vulnerabilities are a major cause of network outages and security problems. This paper proposes an effective Network Configuration Management System (NCMS) with the enforced Access Control policies and centralized management method to provide a controllable security access interface for the configuration management of internal network devices and leads to better network resiliency, security, and scalability.
{"title":"Method for Enforcing Access Control Policies on NCMS","authors":"Zhigang Zhao, Huaqun Guo","doi":"10.1109/SOLI.2018.8476718","DOIUrl":"https://doi.org/10.1109/SOLI.2018.8476718","url":null,"abstract":"Configuration of large-scale networks is difficult and error-prone. Misconfigurations known as vulnerabilities are a major cause of network outages and security problems. This paper proposes an effective Network Configuration Management System (NCMS) with the enforced Access Control policies and centralized management method to provide a controllable security access interface for the configuration management of internal network devices and leads to better network resiliency, security, and scalability.","PeriodicalId":424115,"journal":{"name":"2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128681709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/SOLI.2018.8476737
Kristjan Kuhi, K. Kaare, O. Koppel
Information and communication technology has been a positive dynamic force behind improving performance. Simultaneously enabling digital business ecosystems to become an increasingly popular concept for modelling and building distributed systems in heterogeneous, decentralized and open environments. These business solutions have created an opportunity for automated business relations and transactions as well as implementing blockchain based performance measurement systems (PMS), allowing PMS to be more advanced giving validation and verification of received data hence the indicators. This paper evaluates feasibility of blockchain based PMS for logistics industry. Today the performance of supply chain stakeholders including transport logistics is lacking transparency and restraining innovative digital improvements towards a connected, smart and efficient ecosystem. Current public blockchains are not feasible for given use case due to limited throughput, and transaction cost. In this paper we have evaluated different technological alternatives and found several new developments that make blockchain technology suitable for ensuring logistics sector performance measurement integrity. Validated indicators can add trustworthiness and visibility to management and process improvement decisions, as well as be subject to smart contracts and monetary transactions.
{"title":"Ensuring performance measurement integrity in logistics using blockchain","authors":"Kristjan Kuhi, K. Kaare, O. Koppel","doi":"10.1109/SOLI.2018.8476737","DOIUrl":"https://doi.org/10.1109/SOLI.2018.8476737","url":null,"abstract":"Information and communication technology has been a positive dynamic force behind improving performance. Simultaneously enabling digital business ecosystems to become an increasingly popular concept for modelling and building distributed systems in heterogeneous, decentralized and open environments. These business solutions have created an opportunity for automated business relations and transactions as well as implementing blockchain based performance measurement systems (PMS), allowing PMS to be more advanced giving validation and verification of received data hence the indicators. This paper evaluates feasibility of blockchain based PMS for logistics industry. Today the performance of supply chain stakeholders including transport logistics is lacking transparency and restraining innovative digital improvements towards a connected, smart and efficient ecosystem. Current public blockchains are not feasible for given use case due to limited throughput, and transaction cost. In this paper we have evaluated different technological alternatives and found several new developments that make blockchain technology suitable for ensuring logistics sector performance measurement integrity. Validated indicators can add trustworthiness and visibility to management and process improvement decisions, as well as be subject to smart contracts and monetary transactions.","PeriodicalId":424115,"journal":{"name":"2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114471906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/SOLI.2018.8476738
Yijun Zhou, X. Qing, Nasimuddin, T. See, Sim Chan Kuen, Zeng Yunjia
The gain-to-noise-temperature (G/T) of a seven antenna elements based L-band conformal antenna array for a low earth orbit (LEO) satellite is studied. The optimized G/T performance is achieved by switching on and off the related antenna elements and beamforming based on the visible angle of a geostationary equatorial orbit (GEO) satellite from a LEO satellite. The G/T of the array with beamforming is achieved above −19 dB/K for θ range from 0° to 90°.
{"title":"G/T Study for Conformal Antenna Array","authors":"Yijun Zhou, X. Qing, Nasimuddin, T. See, Sim Chan Kuen, Zeng Yunjia","doi":"10.1109/SOLI.2018.8476738","DOIUrl":"https://doi.org/10.1109/SOLI.2018.8476738","url":null,"abstract":"The gain-to-noise-temperature (G/T) of a seven antenna elements based L-band conformal antenna array for a low earth orbit (LEO) satellite is studied. The optimized G/T performance is achieved by switching on and off the related antenna elements and beamforming based on the visible angle of a geostationary equatorial orbit (GEO) satellite from a LEO satellite. The G/T of the array with beamforming is achieved above −19 dB/K for θ range from 0° to 90°.","PeriodicalId":424115,"journal":{"name":"2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","volume":"415 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133029352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-01DOI: 10.1109/SOLI.2018.8476796
J. S. Ho
The low penetration of light through tissue currently limits the therapeutic depth of photodynamic therapy (PDT) to less than a centimeter, even at near-infrared wavelengths. We report a wireless photonic approach to PDT in which miniaturized implantable devices deliver controlled doses of light by wireless powering through thick tissue. We demonstrate targeted cancer therapy with this approach by activating light-sensitive drugs deep in the body and suppressing tumor activity in vivo in animal models. The versatility in light delivery enabled by this approach extends the spatial and temporal precision of PDT to regions deep within the body.
{"title":"Wireless Light Delivery for Photodynamic Therapy","authors":"J. S. Ho","doi":"10.1109/SOLI.2018.8476796","DOIUrl":"https://doi.org/10.1109/SOLI.2018.8476796","url":null,"abstract":"The low penetration of light through tissue currently limits the therapeutic depth of photodynamic therapy (PDT) to less than a centimeter, even at near-infrared wavelengths. We report a wireless photonic approach to PDT in which miniaturized implantable devices deliver controlled doses of light by wireless powering through thick tissue. We demonstrate targeted cancer therapy with this approach by activating light-sensitive drugs deep in the body and suppressing tumor activity in vivo in animal models. The versatility in light delivery enabled by this approach extends the spatial and temporal precision of PDT to regions deep within the body.","PeriodicalId":424115,"journal":{"name":"2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133436335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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