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Authors: Nayan Dey, Dr. Purnima Shukla Abstract-The present research has been discussed on the sediment textural characteristics of the coastal beach. Sediment plays a role of document landform formation. Various statistical parameters such as Graphical Mean Grain Size (Mz), Standard Deviation (σ1), Skewness (Sk) and Kurtosis (kG) are used to evacuate the aforesaid concern. The mean grain size (Mz) is being used to find out the dominance grain size. Standard deviation (σ1) shows the sorting nature of soil or sediment. Skewness (Sk) measures the costiveness of skewed and also kurtosis (kG) quantifies the sediments nature are mesokurtic to very leptokurtic. In addition, Linear Discriminant Analysis (LDA) is used to analyse the environment of deposition. Keyword- Coastal Beach, Mean Grain Size, Standard Deviation, Skewness, Kurtosis, Linear Discriminant Analysis. References- [1] Acharyya, S.K., et al., (2000): Arsenic toxicity of ground water in parts of the Bengal basin in India and Bangladesh: the role of Quaternary Stratigraphy and Holocene sea-level fluctuation, Environmental Geology, vol. 39, Iss. 10, 1127-1137. [2] Alam, M., et al., (2003): An overview of the sedimentary geology of the Bengal basin in relation to the regional tectonic framework and basin-fill history, Sedimentary Geology, vol. 155, Iss.3, 179-208. [3] Banerji, R.K., (1984): Post-Eocene biofacies, palaeoenvironments and palaeogeography of the Bengal basin, India; Palaeogeography, Palaeoclimatology, Palaecology, vol. 45, Iss. 1, 49-73. [4] Baiyegunhi, C., Liu, K, Gwavava, O., (2017): Grain size statistics and depositional pattern of the Ecca Group sandstones, Karoo Super group in the Eastern Cape Province, South Africa; De Gruyter Open, vol. 9, 554-576. [5] Devi, T.D., (2014): Textual Characteristics and Depositional Environment of Olistostromal Sandstone of Ukhrul, Manipur; International Journal of Recent Development in Engineering and Technology, vol. 2, Iss. 1, 92-100. [6] Dey, N., Shukla, P., (2017): Physical carrying capacity assessment in coastal tourist destination – a case study in igha, West Bengal; Economic Development & Environment (Edited book Volume), Vasundhara Publication, Gorakhpur, 102-106. [7] Dyer, K.R., (1986): Coastal and estuarine sediment dynamics, Wiley, London, p.342. [8] Folk, R.L., Robbles, R., (1964): Carbonate sediments of Isla Perez. Alacran reef complex, Yucatan; Journal of Geology, vol. 72, 255-292. [9] Folk, R.L., Ward, W.C., (1957): Brazos River bar: a study in the significance of grain size parameters, Journal of sedimentary Geology, vol. 27, 3-26. [10] Fredlund, M.D., Fredlund, D. G., Ward Wilson, G., (2000): An equation to represent grain size distribution, Can. Geotech J., vol.37, 817-827. [11] Friedman, G.M., (1961): Distinction between dune, beach and river sands from textural characteristics, Jour. Sed. Petrology, vol. 31, 514-529. [12] Friedman, G.M., (1979): Address of the retiring President of the International Association of Sedimentologists: Differences in size distributions of populations of particles among sands of various origins, Sedimentology, vol. 26, 3–32. [13] Goodbred, S.L., Kuehl, S.A., (2000): The significance of large sediment supply, active tectonism, and eustasy on margin sequence development: Late Quaternary stratigraphy and evolution of the Ganges-Brahmaputra delta, Sedimentary Geology, vol. 133, Iss. 3, 227-248. [14] Hutchison, C.S., (1989): Geological Evolution of South-east Asia; Oxford: Clarendon Press, vol. 13, p. 368. [15] Inman, D.L., (1952): Measures for describing the size distribution of sediments, Jour. Sedimentary Petrology, vol. 22, 125-145. [16] Jana, S., Paul, A.K., (2018): Genetical Classification of Deltaic and Non Deltaic Sequences of Landforms of Subarnarekha Middle Course and Lower Course Sections in Odisha and Parts of West Bengal with Application of Geospatial Technology, Journal of Coastal Sciences, vol. 5, Iss.1, 16-26. [17] Krumbein, W.C., (1934): Size frequency distribution of sediments, Jour. Sedimentary Petrology, vol. 4, 65-77. [18] Krumbein, W.C., (1938): Size frequency distribution of sediments and the normal phi curve, J. Sediment. Petrol., vol. 18, 84-90. [19] Krumbein, W.C., Sloss, L., (1963): Stratigraphy and Sedimentation, Ch. 4, Properties of Sedimentary Rocks, 93-149. [20] Kumar, G., Ramanathan, A.L., Rajkumar, K., (2010): Textural characteristics of the surface sediments of a Tropical mangrove ecosystem Gulf of Kutch, Gujarat, India; Indian Journal of Marine Science, vol.39, 415-422. [21] Mason, C.C., Folk, R.L., (1958): Differentiation of beach, dune and aeolian flat environment by size analysis, Mustang Island, Texas, Jour. Sed. Pet., vol. 28, 211-226. [22] Mondal, C., Dey, N., (2018): Carrying capacity assessment in coastal tourism center: a case study in Digha, West Bengal; Sustainable Development: A Dynamic Perspective (Edited Book Volume), Anjan Publisher, Kolkata, vol. 1, 175-182. [23] Morley, C.K., (2002): A tectonic model for the Tertiary evolution of strike-slip faults and rift basins in SE Asia, Tectonophysics, vol. 347, Iss.4, 189-215. [24] Mukherjee, A., et al., (2009): Geologic, geomorphic and hydrologic framework and evolution of Bengal basin, India and Bangladesh; Journal of Asian Earth Sciences, vol. 34, Iss.3, 227-244. [25] Nordstrom, K.F., (1977): Bay side beach dynamics: Implications for simulation modeling on eroding sheltered tidal beaches. Marine Geology, vol. 25, 333-342. [26] Parthasarathy, P., et al., (2016): Sediment dynamics and depositional environment of Coleroon river sediments, Tamilnadu, Southeast coast of India; Journal of Coastal Science, vol.3, Iss.2, 1-7. [27] Patric, M., Donald, B., (1985): The effects of sediment transport on grain size distribution, Journal of Sedimentary Petology, vol. 55, Iss. 4, 0457- 0470. [28] Passega, R., (1964): Grain size representation by CM patterns as a geological tool, Journal of Sedimentary Petrology, vol. 34, 830–847. [29] Sahu, B.K., (1964): Depositional mechanism from the size analysis of clastic sediments, J. Sediment Petrol, vol. 34, Iss. 1, 73-83. [30] Sikder, A.M., Alam, M.M., (2003): 2-D modelling of the anticlinal structures and structural development of the eastern fold belt of the Bengal Basin, Bangladesh; Sedimentary Geology, vol. 155, Iss.3, 209-226. International Journal of Recent Development in Engineering and Technology [31] Srivastav, A.K., Mankar, S.R., (2008): Grain Size Analysis and depositional pattern of Upper Gondwana sediments (early Crataceous) of Salbardi area, distt. Amravati, Maharashtra and Betul, Madhya Pradesh; Journal of Geological Society of India, vol. 73, 393 - 404. [32] Suganraj, K., et al., (February, 2013): Grain size statistical parameters of coastal sediments at Kameswaram Nagapattinam District, east coast of Tamilnadu, India, International Journal of Recent Scintific Research, vol. 4, Iss.2, 102-106. [33] Trindade, J., Ramos-Pereira, A., (2009): Sediment textual distribution on beach profiles in a rocky coast (Estremadura - Portugal), Journal of Coastal Research, SI56. [34] Udden, J.A., (1898): Mechanical composition of wind deposits, Augustana Library Publications, vol. 1, 69. [35] Udden, J.A. (1914): Mechanical composition of clastic sediments. Geol. Soc. Am. Bull. Vol. 25 p. 655-744. [36] Venkatesan, S., et al., (2017): Depositional mechanism of sediments through size analysis from the core of Arasalar river near Karaikkal, east coast of India; Indian Journal of Geo Marine Sciences, vol. 46, Iss. 10, 2122-2131. [37] Wachecka-Kotkowska, L., Górska-Zabielska, M., (2011): Extent of the Middle Polish Glaciations (Saalian, MIS 6) in central Poland on the basis of petrographic analysis; Abstracts IAG/AIG Regional Conference ‘Geomorphology for Human Adaptation to Changing Tropical Environments; p. 161. [38] Weltje, G.J., Von Eynatten, H., (2004): Quantitative provenance analysis of sediments: review and outlook, Sedimentary Geology, vol.171, 1-11. [39] Wentworth, C.K., (1922): A scale of grade and class terms for clastic sediments, Journal of Geology, vol. 30, 377-392. |
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Authors: Umeonyiagu Ikechukwu Etienne, B. O Adinna Abstract-- This research developed the model for predicting the compressive strengths of concrete made from termite mound soil and granite/chippings using Scheffe's (4, 2) lattice polynomial. The termite mound soil was dug from the hostel site of the Heritage Polytechnic, Ikot Udota, Eket, in Akwa Ibom state, while the chippings were obtained from Akampa, Cross River State, all in South - South zone of Nigeria. Sixty concrete cubes (150mm x 150mm x 150mm) were molded, cured and crushed. The model for the compressive strengths of the concrete developed was Ŷ = 20. 66 x1 + 22 x2 + 15 x3 + 9.4x4 + 1. 994 x1x2 + 10.426 x x1 x3 ─ 8.296 x1x4 +1.85 x2x3 +4.728 x2x4+0.282 x3x4. The Fisher test was used to validate the model. The experimental results agreed with the predicted values by the model. and the null hypothesis, Ho was accepted. Keywords: compressive strength, Fisher’s test, null hypothesis, termite mound soil, Scheffe. References- [1] Jackson, N. and Dhir, R. K., 1988 Civil Engineering Material, Macmillan ELBS, Hampshire RG21 2XS, England. [2] Akhnazarova,S. and Kafarov, V. 1982 Experiment Optimization in Chemistry and Chemical Engineering,Mir Publishers, Moscow. [3] Scheffe, H., 1958 Experiments with mixtures, Royal Statistical Society Journal, Ser. B, Vol. 20, pp340-60. [4] Biyi, A., Introductory Statistics, Abiprint & Pak Ltd., Ibadan,1975. [5] BS 812: Part 1:1975 Sampling, shape, size and classification. Methods for sampling and testing of mineral aggregates, sands and fillers. British Standards Institution Publication, London. [6] BS 882: 1992 Specification for aggregates from naturalsources for concrete. British Standards Institution Publication, London. [7] BS 410: 1986. Specification for test sieves. British Standards Institution Publication, London. [8] BS 812: Part 2: 1975 Methods for sampling and testing of mineral aggregates, sands and fillers British Standards Institution Publication,London. [9] ASTM. Standard C 131: 1976 American Society for Testing and Materials Publication, New York,1 – 6. [10] BS 3148: 1980 Tests for water for making concrete. British Standards Institution Publication, London. [11] British Standard 1881: Part 108: 1983 Method for making test cubes from fresh concrete. British Standards Institution Publication, London. [12] British Standard 1881: Part 111: 1983 Method of normal curing of test specimens (20 oC). British Standards Institution Publication, London. [13] British Standard 1881: Part 116: 1983 Method for determination of compressive strength of concrete cubes. British Standards Institution Publication, London. |
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Investigation on the Feasibility of a Solar Desiccant Cooling System in Tripoli, Libya Authors: A. S. Zgalei, B. T. Al-mabrouk, S. K. Alghoul Abstract— The significant growth rate observed in Libyan commercial and residential buildings is coupled with a growth in energy consumption. This growth in energy demand needs to be met by either applying measures for saving energy or by an increase in the energy production. Solar desiccant evaporative cooling offers energy savings and promises a good sharing of renewable energy for sustainable buildings where the availability of solar radiation matches the cooling load demand. This paper presents a preliminary feasibility study for implementing desiccant systems in Libya. A mathematical model of a selected system has been developed and a simulation has been performed in order to investigate the system performance at different working conditions and an optimum design of the system structure is established. The results showed that solar desiccant cooling system is feasible under the Libyan climatic conditions with a reasonable COP at temperatures that can be obtained through the solar reactivation system. Discussion of the results and the recommendations for future work are proposed. Keywords — solar desiccant wheel cooling, system modelling and simulation, technical feasibility. References- [1] New technical solution for energy efficient building, Boku HeimoStaller,IFZ, July 2011, Solarthermalword.org/sites/SOT [2] Solar Evaporative Desiccant cooling, Joan AnglesJemenes and Darusz, Wroclan University of technology, e-archiuo.es/bilstream/handle. [3] PN American Gas Cooling Center, Application engineering manual for desiccant systems, PL Washington 1999. [4] I.L. Maclaine-Cross, P.J. Banks, Coupled heat and mass transfer in regenerators—prediction using an analogy with heat transfer, International Journal of Heat and Mass Transfer 15 (1972) 1225–1242. [5] J.J. Jurinak, P.J. Banks, A numerical evaluation of two analogy solutions for a rotary silica gel dehumidifier, in: Heat Transfer in Porous Media (HTD-22), ASME Winter Annual Meeting, ASME New York, 1982. [6] TRNLIB – Libraries of User-Written TRNSYS Components, in: TRNSYS – Solar Thermal Electric Systems (STEC), http://sel.me.wisc.edu/trnsys/default.htm. [7] W.M. Kays, A.L. London, Compact Heat Exchangers, third ed., McGraw Hill, London, 1984. [8] Holman J. ―Heat transfer,‖ 8th ed., McGraw-Hill, 1999. [9] ASHREA Handbook of fundamentals, the American Society of Heating, Refrigeration and Air Conditioning Engineers, Inc. New York : ASHREA ,2009. [10] Jui Sheng Hsieh, ―Solar Energy Engineering,‖ Prentice-Hall, Inc., Englewood Cliffs, New Jersey 07632, 1986 [11] Transient System Simulation Program, Solar Energy Laboratory, University of Wisconsin, Madison, USA. |
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Tools for Evaluating Service Value. Authors: A. S.White, M. Censlive, D Nielsen Abstract—This paper describes the development of useful tools to assist managers and engineers to choose between guiding parameters that are either numeric or subjective or both with equal emphasis. Such a procedure can produce a decision support process for service design or product design. Keywords— subjective decisions, co-creation; value; service dominated logic; dimensional analysis References- [1] Mckitterick, J.B., 1957, What is the Marketing Management Concept?, Frontiers of Marketing Thought and Science; Ed. Bass, F.M., Chicago: American Marketing Association, pp.71-81. [2] Gronroos, C. 1984-94, “From Marketing Mix to Relationship Marketing: Towards a Paradigm Shift in Marketing”, Asia-Australia Marketing Journal, 2 (Aug), 9-21. [3] Gummesson, E., 2002, “Relationship Marketing and a New Economy: It‟s time for De-programming”, Journal of Services Marketing, 16(7), 585-589. [4] Vargo, S.L. and Lusch, R.F., 2006, “Evolving to a New Dominant Logic for Marketing”, The Service-Dominant Logic of Marketing: Dialog, Debate and Directions, Ed. Lusch, R.F. and Vargo, S.L., 3-28, Routledge: Taylor Francis. [5] Vargo, S. L., and Lusch, R. F. 2008, Service-dominant logic: Continuing the evolution, Journal of the Academy of Marketing Science, 36(1), 1-10; DOI 10.1007/s11747-007-0069-6; Available at: https://www.iei.liu.se/fek/frist/722g60/filarkiv-2011/1.256835/VargoLusch-JAMS2008-Continuingtheevolution.pdf [6] Shahin, A., 2006, “SERVQUAL and model of service quality gaps: A framework for determining and prioritizing critical factors in delivering quality services”, Service quality–An introduction, 117-131, Andhra Pradesh: ICFAI University Press. Available at: http://itsm.ucdavis.edu/sites/default/files/files/page/SERVQUAL%20case%20study.pdf [7] Lusch, R.F. and Vargo, S.L., 2015, Service-Dominant Logic: Premises, Perspectives, Possibilities, Cambridge University Press. [8] Parasuraman, A., Zeithmal, V.A., and Berry, L.L., 1988, “SERVQUAL: A Multiple-Item Scale for Measuring Customer Perceptions of Service Quality”, Journal of Retailing, 64 (spring), 12-40 [9] Owen, D 2005 “The Betamax vs VHS Format War”, available at http://www.mediacollege.com/video/format/compare/betamax-vhs.html [10] Cronin, J. and Taylor, S 1992. Measuring Service Quality: A Re-examination and Extension, Journal of Marketing, 56 (July), 55-67. [11] Fogarty, G., Catts, R., & Forlin, C. 2000, “Identifying shortcomings in the measurement of service quality”. Journal of Outcome Measurement, 4(1), 425-447 [12] Jain, S.K and Gupta, G. 2004, “Measuring Service Quality: SERVQUAL vs. SERVPERF Scales”, Vikalpa: The Journal for Decision Makers; Apr-Jun, 29(2), 25-37. [13] Carrillat, F.A., Jaramillo, F., and Mulki, J.P., 2007,"The validity of the SERVQUAL and SERVPERF scales", International Journal of Service Industry Management, 18(5), 472 – 490. Available at: http://dx.doi.org/10.1108/09564230710826250 [14] Vanpariya, B., Ganguly, P., 2011, “SERVQUAL Versus SERVPERF: An Assessment from Indian Banking Sector”, Available at SSRN: http://ssrn.com/abstract=1783471 or http://dx.doi.org/10.2139/ssrn.1783471. [15] Wang, MT, Wang, SSC, Wang SWC, and Lee, BCJ, 2010, Service Quality and Its Application in Medical Service, Proc. 2010 Int. Conf. on Engineering, Project and Production Management, 14th to 15th October 2010 Pingtung, Taiwan . [16] Forsythe, P. J., 2012 "Profiling customer perceived service quality expectations in made-to-order housing construction in Australia", Engineering, Construction and Architectural Management, 19(6), 587 – 609, Emerald Group Publishing Limited |
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A 5-30 kg/s Orifice Plate Cooling Water Flow Meter Design Authors: Saleh B. Mohamed, Mustapha S. Mansour, Elhadi I. Dekam Abstract— The flow measurement is a very important task specifically in industry sector. This is because of its widespread use for accounting purposes and because of its applications in manufacturing processes. In the research laboratory, advanced flow measurements provide new insights into a wide range of engineering flow problems in hydrodynamics, combustion, aerodynamics, and performance predictions. The main objective of this work is to generate an awareness and understanding of the range of contemporary flow measurement techniques available with the emphasis on devices and techniques associated with wide applications in the engineering field. The focus is devoted to cheap meters with reasonable accuracy; the differential pressure flow meters are employed to measure the flow rates, according to pressure drops across restrictions in the flow passages. An orifice plate meter is designed to measure the required flow rate to cool a nuclear reactor at a design point of 20 kg/s. Meter operation at off design conditions; 5 and 30 kg/s flow rates with maximum allowable orifice pressure drop of 200 kPa was investigated. An orifice plate meter with a diameter ratio of 0.7 is designed to satisfy the constraints over the desired operating range. Keywords— Behavior of differential pressure flow meters, Design References- [1] ASME MFC-3M, Measurement of Fluid Flow in Pipes using, Orifice, Nozzle, and Venturi, An American National Standard, revised 1995. [2] Daniel Measurement and Control, Inc., Fundamentals of Orifice Meter Measurement, 2010, www. daniel.com. [3] Engineering Tool Box, Orifice, Venturi and Nozzle flow rate meters, 2012.www. Engineering ToolBox.com. [4] Fangmeier, D. D., and M. K. Ramsey, Intake characteristics of irrigated furrows. Transactions of the ASAE 21(4);696-700, 1978. [5] KLM Technology group, Fluid Flow Measurement Selection and Sizing (Engineering design guideline, March 2007. [6] Omega Engineering technical reference, Introduction to Flow Meters, 2012. [7] International Standard Organization (ISO), Measurement of fluid flow; Estimation of uncertainty of a flow rate measurement, 1978. [8] International Standards ISO, Available from ANSI, 1430 Broadway, New York, NY 10018, 1978. [9] Ree, W. 0., How accurate are shop-made orifice plates. Transactions of the ASAE 20(2);298-300. 1977. [10] Robinson, A. R., Orifice plates for furrow flow measurement. Unpublished report of the USDA-ARS Soil and Water Conservation Research Division and Colorado Agric. Exp. Station, 1959. [11] Trout, Thomas I., and Bruce E. Mackey, Inflow-outflow infiltration measurement accuracy. Unpublished report to be submitted to Transactions of the ASAE, 1985. [12] Trout, Thomas I, Orifice plates for furrow flow measurement; Calibration. Transactions of the ASAE, 29(1);103-107, 111 (this issue), 1986. [13] USDA Soil Conservation Service., Measurement of irrigation water. SCS National Engineering Handbook, Section 15,Chapter 9, pp. 9-5 to 9-9, 1962 [14] Tom Bruce, Fluid Mechanics 3 Flow Measurement Methods The University of Edinburgh, School of Engineering and Electronics, February 2006. [15] UK Environment Agency, Cooling Water Options for the New Generation of Nuclear Power Stations in the UK, 2010. [16] Mansour, M. S., “Design And Evaluation Of Orifice Meters Of Fluid Flow In Pipelines”, M. Sc. Thesis, Mechanical and Industrial Engineering Department, Faculty of Engineering, University Of Tripoli, Tripoli, Libya, 2017. |
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Authors: Priti Gajbhiye, Pradeep Mishra Abstract— This paper presents an efficient algorithm for matching sketches with digital face images. The proposed system Enhanced Uniform Circular Local Binary Pattern (EUCLBP) is used to extract the minute information present in local facial region. To determine the exceptionality of criminal, development in biometric technology have provide law enforcement agency various tools but, several crimes take place where no information of criminal is present, but instead an eyewitness description of the crime is presented. In these situation, a forensic artist is commonly made to work with the eyewitness in order to draw a sketch that describe the facial look of the criminal according to the spoken description. References- [1] Pong C. Yuen and C. H. Man,‖ Human Face Image Searching System Using Sketches‖ IEEE Transaction on systems, man, and cybernetic—Part A: systems and human, vol. 37, NO. 4, JULY 2007 [2] Hongfeng Wang, Dingwei Wang, Shengxiang Yang, A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems‖ Springer J Soft computing 13:763–780,DOI 10.1007/s00500- 008-0347-3, 2008. [3] Xiaogang Wang and Xiaoou Tang, Fellow,‖face photo synthesis and recognition‖ IEEE Transaction on pattern analysis and intelligence ,vol, 31 no.11,2009 [4] Jie Chen, Shiguang Shan, Chu He, Guoying Zhao, MattiPietikäinen, Xilin Chen, and Wen Gao, ―WLD: A Robust Local Image Descriptor‖ IEEE Transactions On Pattern Analysis And Machine Intelligence, TPAMI-2008-09-0620, pp.1-16, 2009. [5] Himanshu S. Bhatt, Samarth Bharadwaj, Richa Singh, ―Memetically Optimized MCWLD for Matching Sketches With Digital Face Images‖, IEEE Transactions on Information Forensics And Security, 1556- 6013(7),2012 [6] B. Klare and A. Jain, ―Sketch-to-photo matching: A feature-based approach‖, in Proceedings of Society of Photo-Optical Instrumentation Engineers Conference Series, Vol. 7667, 2010. [7] Unsang Park, Anil K. Jain, ‗Face Matching and Retrival using Soft Biometrics‘, IEEE Transactions on Information Forensics And Security, 1556-6013(3), 2010, 406-415 [8] Zhifeng Li, Brendan F. Anil K. Jain, Klare‖ Matching Forensic Sketches to Mug Shot Photos‖, IEEE transaction on pattern analysis and machine intelligence, vol. 33, no.3, march 2011 [9] N. Lavanyadevi,‗Performance Analysis of Face Matching and Retrieval In Forensic Applications‘, International Journal of Advanced Electrical and Electronics Engineering (IJAEEE), 2278-8948(2), 2013, 100-104 |
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Performance Analysis of Space Shared Scheduling and Time Shared Scheduling in Cloud Sim Authors: Prof. Puneet Himthani, Prof. Ghanshyam Prasad Dubey Abstract: Cloud Computing is one of the recent domains of Computer Science in which Researchers across the world are working in order to get deep insight of this domain and to develop new algorithms in various aspects to this domain to make it more easily accessible to the Users. It provides a simple, heterogeneous and architecture neutral platform where the Users can access the Services and Resources as per their requirements with ease. It is totally an Internet based system and works on the principle of Pay per Use. In order to understand the behavior of such systems, one should require installing and configuring the system with Resources and Services. Sometimes, it is very costly, as all Researchers do not have funding from agencies for handling such expenses. In such cases, where it is not possible to have physical Infrastructure available, Simulators will do the needful. Simulators are those systems which allow us to logically implement and configure real world systems and then we can test our algorithms on it to get a conclusion about its behavior. If an algorithm works good on Simulators, then in most of the cases, algorithms works well in real environments also. Keywords: Cloud Computing, Cloud Simulator, Cloud System Architecture, Cloud Models, Scheduling in Cloud Computing, VM Scheduling, Cloudlet Scheduling References- [1] Calheiros R. N., Ranjan R., Rose C. A. F. D. & Buyya R., “CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services”. [2] Buyya R., Ranjan R. & Calheiros R. N., “Modeling and Simulation of Scalable Cloud Computing Environments and the CloudSim Tool-Kit: Challenges and Opportunities”. [3] Mell P. & Grance T., “The NIST Definition of Cloud Computing”, NIST, September 2011. [4] Mondal M. A., Choudhary S. & Islam M. S., “Performance Analysis of VM Scheduling Algorithm of CloudSim in Cloud Computing”, International Journal of Electronics and Communication Technology (IJECT), 49 – 53, Volume – 6, Issue – 1, January – March 2015 [2230 – 7109]. [5] Householder R. A. & Green R. C., “Impacts of Multi – Class Oversubscription on Revenues and Performance in the Cloud”, International Journal of Cloud Computing, 15 – 30, Volume – 2, Number – 1, January – March 2014 [2326 – 7550]. [6] Rathore V. S., Pateriya R. K. & Gupta R. K., “An Efficient Virtual Machine Scheduling Technique in Cloud Computing Environment”, International Journal of Modern Education and Computer Science (IJMECS), 39 – 46, Volume – 3, March 2015. [7] Himani & Sandhu H. S., “Comparative Analysis of Scheduling Algorithms of Cloud Sim in Cloud Computing”, International Journal of Computer Applications (IJCA), 29 – 33, Volume – 97, Number – 16, July 2014 [0975 – 8887]. |
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