{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T01:23:01Z","timestamp":1649035381076},"reference-count":33,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2021,12,1]]},"DOI":"10.1587\/transinf.2021pap0004","type":"journal-article","created":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T22:43:52Z","timestamp":1638312232000},"page":"2097-2108","source":"Crossref","is-referenced-by-count":0,"title":["Fogcached-Ros: DRAM\/NVMM Hybrid KVS Server with ROS Based Extension for ROS Application and SLAM Evaluation"],"prefix":"10.1587","volume":"E104.D","author":[{"given":"Koki","family":"HIGASHI","sequence":"first","affiliation":[{"name":"Faculty of Engineering, Shibaura Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoichi","family":"ISHIWATA","sequence":"additional","affiliation":[{"name":"ALES Corp."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takeshi","family":"OHKAWA","sequence":"additional","affiliation":[{"name":"Faculty of Information and Communication, Tokai University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Midori","family":"SUGAYA","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Shibaura Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] V.A. Knyaz and A.G. Chibunichev, \u201cPhotogrammetric techniques for road surface analysis,\u201d ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.XLI-B5, pp.515-520, July 2016. 10.5194\/isprsarchives-xli-b5-515-2016","DOI":"10.5194\/isprsarchives-XLI-B5-515-2016"},{"key":"2","unstructured":"[2] Security Robot System, https:\/\/smprobotics.com\/security_robot\/robot-security-system\/ (accessed 2021-01-04)"},{"key":"3","unstructured":"[3] K. Ghaffarzadeh and N. Jiao, \u201cMobile robots, autonomous vehicles, and drones in logistics, warehousing, and delivery 2020-2040,\u201d IDTechEx Research."},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] V. Honkote, D. Kurian, S. Muthukumar, D. Ghosh, S. Yada, K. Jain, B. Jackson, I. Klotchkov, M.R. Nimmagadda, S. Dattawadkar, P. Deshmukh, A. Gupta, J. Timbadiya, R. Pali, K. Narayanan, S. Soni, S. Chhabra, P. Dhama, N. Sreenivasulu, J. Kollikunnel, S. Kadavakollu, V.D. Sivaraj, P. Aseron, L. Azarenkov, N. Robinson, A. Radhakrishnan, M. Moiseev, G. Nandakumar, A. Madhukumar, R. Popov, K.P. Sahu, R. Peguvandla, A.D.R. Ruiz, M. Bhartiya, A. Srinivasan, and V. De, \u201cDistributed autonomous and collaborative multi-robot system featuring a low-power robot SoC in 22nm CMOS for integrated battery-powered minibots,\u201d IEEE International Solid-State Circuits Conference, pp.48-50, Feb. 2019. 10.1109\/isscc.2019.8662463","DOI":"10.1109\/ISSCC.2019.8662463"},{"key":"5","unstructured":"[5] FlytBase, https:\/\/flytbase.com\/ (accessed 2021-01-06)"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] M.D. Donno, K. Tange, and N. Dragoni, \u201cFoundations and evolution of modern computing paradigms: Cloud, IoT, edge, and fog,\u201d IEEE Access, vol.7, pp.150936-150948, Oct. 2019. 10.1109\/access.2019.2947652","DOI":"10.1109\/ACCESS.2019.2947652"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] J. Yuan and X. Li, \u201cA reliable and lightweight trust computing mechanism for IoT edge devices based on multi-source feedback information fusion,\u201d IEEE Access, vol.6, pp.23626-23638, April 2018. 10.1109\/access.2018.2831898","DOI":"10.1109\/ACCESS.2018.2831898"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] K. Bilal, O. Khalid, A. Erbad, and S.U. Khan, \u201cPotentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers,\u201d Computer Networks, vol.130, pp.94-120, Jan. 2018. 10.1016\/j.comnet.2017.10.002","DOI":"10.1016\/j.comnet.2017.10.002"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] H. Gu and H. Wang, \u201cA distributed caching scheme using non-cooperative game for mobile edge networks,\u201d IEEE Access, vol.8, pp.142747-142757, July 2020. 10.1109\/access.2020.3009683","DOI":"10.1109\/ACCESS.2020.3009683"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] K. Ozawa, T. Hirofuchi, R. Takano, and M. Sugaya, \u201cfogcached: DRAM-NVM hybrid memory-based KVS server for edge computing,\u201d International Conference on Edge Computing, Lecture Notes in Computer Science, vol.12407, pp.50-62, Springer, Sept. 2020. 10.1007\/978-3-030-59824-2_4","DOI":"10.1007\/978-3-030-59824-2_4"},{"key":"11","unstructured":"[11] memcached, http:\/\/memcached.org\/ (accessed 2021-01-06)"},{"key":"12","unstructured":"[12] J.S. Lum, \u201cUtilizing robot operating system (ROS) in robot vision and control,\u201d National Technical Reports Library, U.S. Department of Commerce, 2015."},{"key":"13","unstructured":"[13] M. Quigley, K. Conley, B. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A.Y. Ng, \u201cROS: An open-source robot operating system,\u201d ICRA Workshop on Open Source Software, 2009. https:\/\/scholar.google.com\/citations?view_op=view_citation&amp;hl=en&amp;user=0Ix7S-4AAAAJ&amp;citation_for_view=0Ix7S-4AAAAJ:u5HHmVD_uO8C"},{"key":"14","unstructured":"[14] Intel<sup>\u00ae<\/sup> Optanne\u2122 Persistent Memory, https:\/\/www.intel.com\/content\/www\/us\/en\/architecture-and-technology\/optane-dc-persistent-memory.html (accessed 2021-01-06)"},{"key":"15","doi-asserted-by":"publisher","unstructured":"[15] T. Hirofuchi and R. Takano, \u201cA prompt report on the performance of Intel Optane DC persistent memory module,\u201d IEICE Trans. Inf. &amp; Syst., vol.E103-D, no.5, pp.1168-1172, May 2020. 10.1587\/transinf.2019edl8141","DOI":"10.1587\/transinf.2019EDL8141"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] X. Wu, F. Ni, L. Zhang, Y. Wang, Y. Ren, M. Hack, Z. Shao, and S. Jiang, \u201cNVMcached: An NVM-based key-value cache,\u201d Proc. ACM SIGOPS Asia-Pacific Workshop on Systems, Article No. 18, pp.1-7, Aug. 2016. 10.1145\/2967360.2967374","DOI":"10.1145\/2967360.2967374"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] W. Jiang, G. Feng, S. Qin, and Y. Liu, \u201cMulti-agent reinforcement learning based cooperative content caching for mobile edge networks,\u201d IEEE Access, vol.7, pp.61856-61867, May 2019. 10.1109\/access.2019.2916314","DOI":"10.1109\/ACCESS.2019.2916314"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] X. Wang, Y. Han, V.C.M. Leung, D. Niyato, X. Yan, and X. Chen, \u201cConvergence of edge computing and deep learning: A comprehensive survey,\u201d IEEE Commun. Surv. Tutor., vol.22, no.2, pp.869-904, Jan. 2020. 10.1109\/comst.2020.2970550 10.1007\/978-981-15-6186-3_2","DOI":"10.1109\/COMST.2020.2970550"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] X. Xia, F. Chen, Q. He, J.C. Grundy, M. Abdelrazek, and H. Jin, \u201cCost-effective app data distribution in edge computing,\u201d IEEE Trans. Parallel Distrib. Syst., vol.32, no.1, pp.31-44, Jan. 2021. 10.1109\/tpds.2020.3010521","DOI":"10.1109\/TPDS.2020.3010521"},{"key":"20","doi-asserted-by":"publisher","unstructured":"[20] J. Ren, G. Yu, Y. He, and G.Y. Li, \u201cCollaborative cloud and edge computing for latency minimization,\u201d IEEE Trans. Veh. Technol., vol.68, no.5, pp.5031-5044, May 2019. 10.1109\/tvt.2019.2904244","DOI":"10.1109\/TVT.2019.2904244"},{"key":"21","doi-asserted-by":"publisher","unstructured":"[21] K. Haseeb, I.U. Din, A. Almogren, Z. Jan, N. Abbas, and M. Adnan, \u201cDDR-ESC: A distributed and data reliability model for mobile edge-based sensor-cloud,\u201d IEEE Access, vol.8, pp.185752-185760, Oct. 2020. 10.1109\/access.2020.3030192","DOI":"10.1109\/ACCESS.2020.3030192"},{"key":"22","doi-asserted-by":"publisher","unstructured":"[22] J. Huang, J. Liang, and S. Ali, \u201cA simulation-based optimization approach for reliability-aware service composition in edge computing,\u201d IEEE Access, vol.8, pp.50355-50366, March 2020. 10.1109\/access.2020.2979970","DOI":"10.1109\/ACCESS.2020.2979970"},{"key":"23","unstructured":"[23] Gmapping, http:\/\/wiki.ros.org\/gmapping (accessed 2021-05-03)"},{"key":"24","unstructured":"[24] M. Tomono and Y. Hara, \u201cCurrent status and future prospects of SLAM,\u201d System\/Control\/Information, vol.64, no.2, pp.45-50, 2020,"},{"key":"25","unstructured":"[25] TukubaChallenge, https:\/\/tsukubachallenge.jp (accessed 2021-01-03)"},{"key":"26","unstructured":"[26] TurtleBot3, \u201cturtlebot3-emanual,\u201d https:\/\/emanual.robotis.com\/docs\/en\/platform\/turtlebot3\/overview\/ (accessed 2021-01-06)"},{"key":"27","unstructured":"[27] ROS (TurtleBot3) navigation, http:\/\/wiki.ros.org\/turtlebot3_navigation (accessed 2021-01-03)"},{"key":"28","unstructured":"[28] vision_opencv, http:\/\/wiki.ros.org\/vision_opencv (accessed 2021-01-03)"},{"key":"29","unstructured":"[29] libmemcached, https:\/\/libmemcached.org\/libMemcached.html (accessed 2021-01-06)"},{"key":"30","unstructured":"[30] ROS bridge, http:\/\/wiki.ros.org\/rosbridge_suite (accessed 2021-05-03)"},{"key":"31","unstructured":"[31] K.S. Sikand, L. Zartman, S. Rabiee, and J. Biswas, \u201cRobofleet: Secure open source communication and management for fleets of autonomous robots,\u201d arXiv:2103.06993"},{"key":"32","unstructured":"[32] ROS Parameter, http:\/\/wiki.ros.org\/rospy\/Overview\/Parameter%20Server"},{"key":"33","unstructured":"[33] ROS Parameter Server, http:\/\/wiki.ros.org\/Parameter%20Server"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E104.D\/12\/E104.D_2021PAP0004\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,4]],"date-time":"2021-12-04T03:49:21Z","timestamp":1638589761000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E104.D\/12\/E104.D_2021PAP0004\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,1]]},"references-count":33,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2021]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2021pap0004","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,1]]},"article-number":"2021PAP0004"}}