Forecasting Cloud Computing using Double Exponential Smoothing Methods

被引:0
|
作者
Adamuthe, Amol C. [1 ]
Gage, Rajendra A. [1 ]
Thampi, Gopakumaran T. [2 ]
机构
[1] RIT, Dept CSE, Rajaramnagar, MS, India
[2] TSEC, Dept IT, Mumbai, MS, India
关键词
Cloud computing; Double exponential smoothing; Technology Forecasting;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud computing is one of the transformational technology in the computing world. This paper reports the cloud computing adoption curve using number of cloud providers as an indicator. Cloud computing providers offers three basic services namely, infrastructure as a service, platform as a service and software as a service. This paper shows results of medium term forecast of cloud computing providers using exponential smoothing methods. Cloud provider's historical data follows a trend so double exponential smoothing methods (DES) are applied. Results shows that DES with two smoothing constants is better fitted than DES with one smoothing constant with respect to mean absolute deviation and root mean square error. Result shows that growth in IaaS providers is more than SaaS and PaaS.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Forecasting Product Selling Using Single Exponential Smoothing and Double Exponential Smoothing Methods
    Sidqi, F.
    Sumitra, I. D.
    [J]. 2ND INTERNATIONAL CONFERENCE ON INFORMATICS, ENGINEERING, SCIENCE, AND TECHNOLOGY (INCITEST 2019), 2019, 662
  • [2] Research on forecasting algorithm based on exponential smoothing method in cloud computing load balancing
    Liu, Kun
    Xu, Gao-Chao
    Wang, Ting-Mei
    [J]. DESIGN, MANUFACTURING AND MECHATRONICS (ICDMM 2015), 2016, : 589 - 598
  • [3] Forecasting by fuzzy double exponential smoothing model
    Tsaur, RC
    [J]. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2003, 80 (11) : 1351 - 1361
  • [4] Data Mining For Inventory Forecasting Using Double Exponential Smoothing Method
    Hasmin, Erfan
    Aini, Nurul
    [J]. PROCEEDINGS OF ICORIS 2020: 2020 THE 2ND INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEM (ICORIS), 2020, : 43 - 47
  • [5] Data transforms with exponential smoothing methods of forecasting
    Beaumont, Adrian N.
    [J]. INTERNATIONAL JOURNAL OF FORECASTING, 2014, 30 (04) : 918 - 927
  • [6] A state space framework for automatic forecasting using exponential smoothing methods
    Hyndman, RJ
    Koehler, AB
    Snyder, RD
    Grose, S
    [J]. INTERNATIONAL JOURNAL OF FORECASTING, 2002, 18 (03) : 439 - 454
  • [7] Forecasting The Number of Patients at RSUD Sukoharjo Using Double Exponential Smoothing Holt
    Anggrainingsih, Rini
    Prabanuadhi, Alfath
    Yohanes, Sarngadi Palgunadi
    [J]. 2018 INTERNATIONAL CONFERENCE ON ICT FOR RURAL DEVELOPMENT (IC-ICT RUDEV), 2018, : 54 - 58
  • [8] Modeling of inflation cases in South Sulawesi Province using single exponential smoothing and double exponential smoothing methods
    Ahmar A.S.
    Fitmayanti F.
    Ruliana R.
    [J]. Quality & Quantity, 2022, 56 (1) : 227 - 237
  • [9] Forecasting the Number of Firemen Interventions Using Exponential Smoothing Methods: A Case Study
    Mallouhy, Roxane Elias
    Guyeux, Christophe
    Abou Jaoude, Chady
    Makhoul, Abdallah
    [J]. ADVANCED INFORMATION NETWORKING AND APPLICATIONS, AINA-2022, VOL 1, 2022, 449 : 579 - 589
  • [10] Nodal Electricity Price Forecasting using Exponential Smoothing and Holt’s Exponential Smoothing
    Ahmed, Md Irfan
    Kumar, Ramesh
    [J]. Distributed Generation and Alternative Energy Journal, 2023, 38 (05): : 1505 - 1530