International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

Impact Factor* - 6.2311


**Need Help in Content editing, Data Analysis.

Research Gateway

Adv For Editing Content

   No of Download : 332    Submit Your Rating     Cite This   Download        Certificate

RECENT MOBILE GRID AND DATA IOT EVOLUTIONS

    2 Author(s):  BHAVESH GUPTA, NARENDRA PAL SINGH

Vol -  10, Issue- 4 ,         Page(s) : 129 - 146  (2019 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

Grid and data iot infrastructures have been intensively used to alleviate sizeable and multidimensional dilemmas in stem and computing sectors. These installations involve potent iot resources bonded thru heavy speed infrastructures. Due to recent breakthroughs in mobile computation and connectivity infrastructures it has become practicable to assimilate innumerable mobile handsets those as exoskeletons, artillery automobiles, magnetometers, and cunning tablets with grid and data iot infrastructures. This incorporation entitles prototype and development of next century of implementations thru sharing of manpower in mobile climates and also adopts multiple dilemmas due to agile and erratic service. This publication elaborates applicants, studies dilemmas implicated in specification

[1] A modern smartphone or a vintage supercomputer, http://www.phonearena.com/news/A-modern-smartphone-or- a-vintage-supercomputer-which-is-more-powerful_id57149, Accessed in Jan 2016.
[2] A supercomputer in your pocket, http://www.charliewhite.net/2013/09/smartphones-vs-supercomputers/, Accessed in Jan 2016.
[3] How 5G will push a supercharged network to your phone, home, car, http://www.cnet.com/news/how-5g-will- push-a-supercharged-network-to-your-phone-home-and-car/, Accessed in Jan 2016.
[4] B. G. Chun and P. Maniatis, Augmented Smartphone Applications through Clone Cloud Execution, 12th
Workshop on Hot Topics in Operating Systems, Switzerland: USENIX, 2009
[5] S. Garriss, R. Caceres, S. Berger, R. Sailer, L. van Doorn, and ´X. Zhang, Trustworthy and Personalized Computing on Public Kiosks, 6th International Conference on Mobile Systems, Applications, and Services (MobiSys ’08), 2008, pp. 199 – 210
[6] M. Satyanarayanan, P. Bahl, R. Caceres, N. Davies, the Case for VM-Based Cloudlets in Mobile Computing,
IEEE Pervasive Computing, 8 (4) 14–23, 2009
[7] J. Rellermeyer, O. Riva, and G. Alonso, AlfredO: Architecture for Flexible Interaction with Electronic Devices, 9th ACM/IFIP/USENIX International Conference on Middleware (Middleware 2008), Lecture Notes in Computer Science, Vol. 5346. Leuven, Belgium: Springer, 2008, pp. 22–41.
[8] J. S. Rellermeyer, G. Alonso, and T. Roscoe, R-OSGi: Distributed Applications through Software Modularization, ACM/IFIP/USENIX 8th International Middleware Conference (Middleware 2007). Newport Beach, CA, USA: Springer, Nov. 2007, pp. 50–54.
[9] R. K. Balan, M. Satyanarayanan, S. Y. Park, and T. Okoshi, Tactics-based Remote Execution for Mobile Computing, Int. Conf. Mobile Systems, Applications and Services, San Francisco, May 5–8, 2003.
[10] B.-G. Chun, S. Ihm, P. Maniatis, M. Naik, A. Patti. CloneCloud: elastic execution between mobile device and cloud. ACM EuroSys, 2011
[11] E. Cuervo, A. Balasubramanian, D. K. Cho, A. Wolman, S. Saroiu, R. Chandra, and P. Bahl. Maui: making smartphone last longer with code offload. In ACM MobiSys, 2010
[12] M.A.M. Mohamed et al., MOSET: An anonymous remote mobile cluster computing paradigm, Journal of Parallel Distributed Computing, 65 (2005) 1212 – 1222
[13] Z.-L. Zong, M. Nijim, and X. Qin, Energy-Efficient Scheduling for Parallel Applications on Mobile Clusters, Cluster Computing: The Journal of Networks, Software Tools and Applications, 11 (1), 91 - 113, 2008.
[14] Chunlin Li; Layuan Li, Tradeoffs between energy consumption and QoS in mobile grid, Journal of Supercomputing, 55 (3), 2011.
[15] M. Yuriyama and T. Kushida, "Sensor-cloud infrastructure: physical- sensor management with virtualized sensors on cloud computing," in Network-Based Information Systems (NBiS), 13th International Conference on.
IEEE, 2010, pp. 1-8
[16] H. Viswanathan, E. K. Lee, and D. Pompili, "Mobile grid computing for data- and patient-centric ubiquitous healthcare," in Proc. of IEEE Workshop on Enabling Technologies for Smartphone and Internet of Things, Seoul, Korea, June 2012.
[17] H. Kim, Y. el Khamra, I. Rodero, S. Jha, and M. Parashar, “Autonomic Management of Application Workflows on Hybrid Computing Infrastructure,” Telecomm. Sys., vol. 19, no. 2-3, pp. 75–89, Feb. 2011.
[18] C. K. Tham and R. Buyya (2005), SensorGrid: Integrating Sensor Networks and Grid Computing. CSI Communications, 29(1):24-29, July 2005.
[19] M. Gaynor, S.L. Moulton, M. Welsh, E. LaCombe, A. Rowan, J. Wynne, Integrating wireless sensor networks with the grid, IEEE Internet Computing, 8 (4) (2004), pp. 32–39
[20] H.B. Lim, P. Mukherjee1, V.T Lam, W.F. Wong and S. See., Sensor Grid: Integration of Wireless Sensor Networks and the Grid, Proceedings of 30th IEEE Conference on Local Computer Networks, pp. 91-98, Sydney, Australia, November 2005.
[21] T. Vigneswari and M. A. Maluk Mohamed, “Scheduling in Sensor Grid Middleware for Telemedicine Using ABC Algorithm,” International Journal of Telemedicine and Applications, Vol. 2014, 7 pages, 2014
[22] Sayed Chhattan Shah, Myong-Soon Park, " An Energy-Efficient Resource Allocation Scheme for Mobile Ad Hoc Computational Grids", Journal of Grid Computing Journal no.10723 (SCI-E), Apr.16,2011
[23] S C Shah et al., An effective and robust two-phase resource allocation scheme for interdependent tasks in mobile ad hoc computational Grids, Journal of Parallel and Distributed Computing, 2012
[24] Uncertainty-aware Resource Provisioning in Mobile Computing Grids for Real-time In-situ Data Processing, http://nsfcac.rutgers.edu/cps/projects/uncertainty-aware-resource-provisioning-mobile-computing-grids-real-time- situ-data, Accessed on Jan 2016.
[25] SINUS, http://uav.lakeside-labs.com/overview/sinus/, Accessed in Jan 2016.
[26] Content-Based Mobile Edge Networking Program, http://www.darpa.mil/program/content-based-mobile-edge- networking
[27] Collaborative Drones, http://uav.lakeside-labs.com/overview/cdrones/, Accessed in Jan 2016.
[28] iCore cognitive framework, http://www.iot-icore.eu, Accessed in Jan 2016.
[29] Sayed Chhattan Shah, Energy Efficient and Robust Allocation of Interdependent Tasks on Mobile Ad hoc Computational Grid, Concurrency and Computation: Practice and Experience, 27(5) 1226-1254, 2015.
[30] B.-G. Chun and P. Maniatis, “Augmented Smartphone Applications Through Clone Cloud Execution,” in Proceedings of the 12th Workshop on Hot Topics in Operating Systems, USENIX, 2009.
[31] H. Zheng, R. Buyya, S. Bhattacharya, “Mobile cluster computing and timeliness issues”, Informatica: International J. Comput. Inform. 23 (1)
[32] M.A.M. Mohamed et al., “MOSET: An anonymous remote mobile cluster computing paradigm”, Journal of Parallel Distributed Computing, 65 (2005) 1212 – 1222
[33] Z.-L. Zong, M. Nijim, and X. Qin, “Energy-Efficient Scheduling for Parallel Applications on Mobile Clusters”, Cluster Computing: The Journal of Networks, Software Tools and Applications, vol. 11, no. 1, pp. 91 - 113, March 2008
[34] K. A. Hummel and G. Jelleschitz., Robust De-centralized Job Scheduling Approach for Mobile Peers in Ad Hoc Grids, 7th IEEE Int. Symp. Cluster Computing and the Grid, May 14–17, 2007.
[35] V. Vetri Selvi, S. Sharfraz, and R. Parthasarathi, “Mobile Ad Hoc Grid Using Trace Based Mobility Model,” GPC 2007, LNCS 4459, pp. 274–285, 2007
 
[36] Piotr Grabowski, Bartosz Lewandowski Poznan “Access from J2me-Enabled Mobile Devices to Grid Services”
Supercomputing and Networking Center, Noskowskiego Poznan, 61-704 Poland
[37] Fox, G. Ho, A. Rui Wang Chu, E. Isaac Kwan, A collaborative sensor grids framework, IEEE CTS 2008
[38] Jamie M. Robinson et al, "Sensor Networks and Grid Middleware for Laboratory Monitoring", First International Conference on e-Science and Grid Computing (e-Science'05), 2005
[39] S. Shilve, H.J. Siegel, A.A. Maciejewski, P. Sugavanam, T. Banka, R. Castain, K. Chindam, S. Dussinger, P. Pichumani, P. Satyasekaran, W. Saylor, D. Sendek, J. Sousa, J. Sridharan, and J. Velazco, “Static Allocation of Resources to Communicating Subtasks in a Heterogeneous Ad Hoc Grid Environment,” Journal of Parallel Distributed Computing, vol. 66, no. 4, pp. 600–611, 2006.
[40] S. Garriss, R. Caceres, S. Berger, R. Sailer, L. van Doorn, and ´X. Zhang, “Trustworthy and Personalized Computing on Public Kiosks,” in Proceeding of the 6th International Conference on Mobile Systems, Applications, and Services (MobiSys ’08). Breckenridge, CO, USA: ACM, 2008, pp. 199 – 210
[41] M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies, “The Case for VM-Based Cloudlets in Mobile Computing,” IEEE Pervasive Computing, vol. 8, no. 4, pp. 14–23, Oct. 2009
[42] I. Giurgiu, O. Riva, D. Juric, I. Krivulev, and G. Alonso, “Calling the Cloud: Enabling Mobile Phones as Interfaces to Cloud Applications,” in Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware (Middleware ’09). Urbana Champaign, IL, USA: Springer, Nov. 2009, pp. 1–20.
[43] J. Rellermeyer, O. Riva, and G. Alonso, “AlfredO: An Architecture for Flexible Interaction with Electronic Devices,” in Proceedings of 9th ACM/IFIP/USENIX International Conference on Middleware (Middleware 2008), ser. Lecture Notes in Computer Science, vol. 5346.Leuven, Belgium: Springer, 2008, pp. 22–41.
[44] J. S. Rellermeyer, M. Duller, and G. Alonso, “Engineering the Cloud from Software Modules,” in Proceedings of the Workshop on Software Engineering Challenges in Cloud Computing (ICSE-Cloud, in conjunction with ICSE 2009). Vancouver, Canada: IEEE, 2009, pp. 32–37.
[45] J. S. Rellermeyer, G. Alonso, and T. Roscoe, “R-OSGi: Distributed Applications through Software
Modularization,” in Proceedings of the ACM/IFIP/USENIX 8th International Middleware Conference (Middleware 2007). Newport Beach, CA, USA: Springer, Nov. 2007, pp. 50–54.
[46] R. K. Balan, M. Satyanarayanan, S. Y. Park, and T. Okoshi, “Tactics-based Remote Execution for Mobile Computing,” 1st Int. Conf. Mobile Systems, Applications and Services, San Francisco, May 5–8, 2003.
[47] B.-G. Chun, S. Ihm, P. Maniatis, M. Naik, A. Patti. CloneCloud: elastic execution between mobile device and cloud. In ACM EuroSys, 2011
[48] E. Cuervo, A. Balasubramanian, Cho, A. Wolman, S. Saroiu, R. Chandra, P. Bahl. Maui: making smartphone last longer with code offload. In ACM MobiSys, 2010
[49] H. T. Dinh, C. Lee, D. Niyato, and P. Wang, “A survey of mobile cloud computing: Architecture, applications, and approaches,” Wireless Communications and Mobile Computing (WCMC), accepted
[50] Ferzli, R.; Khalife, I., "Mobile cloud computing educational tool for image/video processing algorithms,"
in Digital Signal Processing Workshop and IEEE Signal Processing Education Workshop (DSP/SPE), 2011 IEEE , vol., no., pp.529-533, 4-7 Jan. 2011
[51] Busching, F.; Schildt, S.; Wolf, L., "DroidCluster: Towards Smartphone Cluster Computing - The Streets are Paved with Potential Computer Clusters," in Distributed Computing Systems Workshops (ICDCSW), 2012 32nd International Conference on, vol., no., pp.114-117, 18-21 June 2012
[52] Cheng, L.; Wanchoo, A.; Marsic, I., "Hybrid cluster computing with mobile objects," Proceeding of 4th International Conference on High Performance Computing in Asia-Pacific Region, vol.2, 909-914, 14-17 May 2000
[53] Bo Li, Yijian Pei, Hao Wu, Bin Shen., Heuristics to allocate high-performance cloudlets for computation offloading in mobile ad hoc clouds, The Journal of Supercomputing, 71(8), pp 3009-3036 2015.
[54] Kumar, Karthik, and Yung-Hsiang Lu, Cloud computing for mobile users: Can offloading computation save energy? Computer 4 (2010): 51-56.
 
[55] Cong Shi, Vasileios Lakafosis, Mostafa H. Ammar, Ellen W. Zegura, Serendipity: enabling remote computing among intermittently connected mobile devices, Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing, 2012
[56] J.M. Rodriguez, C. Mateos and A. Zunino, Energy-efficient Job Stealing for CPU-intensive processing in Mobile Devices, Computing, Springer, In Press, 2012.
[57] Simin Ghasemi-Falavarjani, Mohammad Ali, and Behrouz Shahgholi, Context-aware multi-objective resource allocation in mobile cloud, Computer and Electrical Engineering, 44 (2015) 218-240
[58] Hariharasudhan Viswanathan, Eun Kyung Lee, Ivan Rodero, and Dario Pompili, Uncertainty-Aware Autonomic Resource Provisioning for Mobile Cloud Computing, IEEE Transactions on Parallel and Distributed Systems, 26(8), August 2015.

*Contents are provided by Authors of articles. Please contact us if you having any query.






Bank Details