{"id":176,"date":"2020-03-16T05:31:26","date_gmt":"2020-03-16T05:31:26","guid":{"rendered":"https:\/\/arms10.org\/publication\/?p=176"},"modified":"2020-03-16T05:31:27","modified_gmt":"2020-03-16T05:31:27","slug":"hosted-web-service-and-its-performance-analysis","status":"publish","type":"post","link":"https:\/\/arms10.org\/publication\/hosted-web-service-and-its-performance-analysis\/","title":{"rendered":"Hosted Web Service and Its Performance Analysis"},"content":{"rendered":"\n<h2><a href=\"https:\/\/arudhrainnovations.com\/\"> Hosted Web Service and Its Performance Analysis <\/a><\/h2>\n\n\n\n<p> Queue  Model  for  Mobile  Device  Hosted  Web Service To  analysis  the  performance  of  the  integrated  web  service   framework   for   mobile   device   hosted   web   service, we build the following queue mode (See Fig.2) In  our  model,  we  assume  mobile  web  requests  arrive   according   to   a   Poisson   distribution   with   parametert,  where  is  the  average  number  of  arrivals per unit time. The  mobile  web  requests  firstly  are  sent  to  MWSM,MWSMis  a  M\/M\/1\/N  queue  model,  and  it  has  two  import parameters 1W and 1N, where: 1W: denotes the mean time that a mobile web service requester has to wait form the moment he calls until he departures fromMWSM;1N:  denotes  the  buffer  size  that  can  hold  mobile  web  service requesters; 1T: denotes the throughput ofMWSW;A    mobile    web    service    requester    may    get    the    MDH    WSbyMWSM\u2019s   cache   system   with   a   probability   ofcP   at   the   rate   of2,   or   directly   getMDH    WS  with  a  probability  of  1cP at  the rate of 1, we can easily get the following relationship 112T.Mobile   web   requests   for   MDH    WSto   arrive   according to a Poisson distribution with parameter2t,where2is  the  average  number  of  arrivals  per  unit  time. From queue theory, we know that MDH    WSis also aM\/M\/1\/N  queue  model,  and  it  also  has  two  import  parameters 2W and2N, where: 2W: denotes the mean time that a mobile web service requester has to wait form the moment he calls until he departures fromMDH    WS;2N: denotes the buffer size that can hold mobile web service requesters; Besides these, we use the following signs:   :  denotes  the  rate  that  mobile  web  service  request  coming toMWSM;1  :  denotes  the  rate  that  mobile  web  service  request  coming toMDH    WS ; 2:  denotes  the  rate  that  mobile  web  service  request  get MDH    WS from cache system; 1: denotes the service rate ofMWSM;2: denotes the service rate ofMDH    WS;1:  is  called  the  traffic  intensity  or  utilization  factor  forMWSM;2:  is  called  the  traffic  intensity  or  utilization  factor  forMDH    WS;cP: denotes the probability of a mobile web requester will get service by cache system; 1, 0P: denotes the probability ofMWSMin idle state; 1,BP:   denotes   the   probability   of   MWSM is   in blocking state; 2,0P:  denotes  the  probability  ofMDH    WSin  idle  state;2,BP:  denotes  the  probability  of  MDH    WS is  in blocking state;Usually,  for  any  givenMDH    WS,  parameters  2Wand2N  are  known,  the  distribution  of  mobile  service  requesters  is  taken  as  with  a  Poisson  distribution  with   parametert,in  the  framework  above,  what  we  must  do  is  to  design  aMDH    WS(such  as  1W,1N)thatmeet  the  QoS  requirements  for  MDH    WS.  As  for  any  specificMDH    WS,  usually  the  extent  of  web  service that can be reused is known, socP can also be determined. The QoS evaluate parameters can be the throughput of the  system,  the  request  numbers  that  the  system  can  hold,  the  delay  of  the  system,  or  the  reliability  of  the  system etc. So we use the following signs: T: denotes the throughput of the whole system; R: denotes the reliability of the whole system; N:  denotes  the  total  mobile  web  service  requester  numbers in the whole system; D: denotes the delay of the whole system..<a href=\"https:\/\/arudhrainnovations.com\/\">Web Design Company Kumbakonam<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/arudhrainnovations.com\/\"><img loading=\"lazy\" width=\"540\" height=\"960\" src=\"https:\/\/arms10.org\/publication\/wp-content\/uploads\/2020\/03\/75285836_1361624364010438_6731432376787795968_o.png\" alt=\" Hosted Web Service and Its Performance Analysis \" class=\"wp-image-177\" srcset=\"https:\/\/arms10.org\/publication\/wp-content\/uploads\/2020\/03\/75285836_1361624364010438_6731432376787795968_o.png 540w, https:\/\/arms10.org\/publication\/wp-content\/uploads\/2020\/03\/75285836_1361624364010438_6731432376787795968_o-169x300.png 169w\" sizes=\"(max-width: 540px) 100vw, 540px\" \/><\/a><\/figure>\n\n\n\n<p>  Numeral Results and AnalysisTo  analysis  the  result  that  we  deduced  above,  we  give the following initial parameters in MDH    WS:  The  mean  wait  time220Wtime  unit,  if  2W is large,  it  meansMDH    WScomputing  speed  is  not  fast shows  the  relationship  among  1Wand1Nto the  total  mobile  web  service  requester  in  the  whole  system N,  we  can  see  that  by  increasing  the  buffer  size1N,  the  total  mobile  web  service  requester  in  the  whole   system   N,   is   also   increased;   while   by   increasing   the   mean   wait   time1W in MWSMreliability  of  the  total  mobile  web  service  requester  in  the  whole  system  N,  is  also  increased,  when  1N is great  than  5,  the  total  mobile  web  service  requester  in  the whole system N will not change much. Fig.6  shows  the  relationship  among  1Wand1Nto the  total  delay  of  systemD,  we  can  see  that  by  increasing the mean wait time1W inMWSM, the total delay of system is also increased, 1N has nothing with the total delay of systemD  In  this  paper,  we  introduced  an  integrated  web  service   framework   for   mobile   device   hosted   web   service,  and  built  its  corresponding  queue  model  and  gave     the     performance     analysis.     Analysis     and     simulation  show  that  our  framework  forMDH    WSnot only is practical in QoS guarantee design in mobile web  service  integration,  but  also  gives  the  parameters  range selection .<a href=\"https:\/\/arudhrainnovations.com\/\">https:\/\/arudhrainnovations.com\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hosted Web Service and Its Performance Analysis Queue Model for Mobile Device Hosted Web Service To analysis the performance of the integrated web service framework for mobile device hosted web service, we build the following queue mode (See Fig.2) In&#8230; <a class=\"direadmore\" href=\"https:\/\/arms10.org\/publication\/hosted-web-service-and-its-performance-analysis\/\"> Continue Reading&#8230;<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[86,78],"tags":[3],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v15.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Hosted Web Service and Its Performance Analysis - International Conference Publications<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/arms10.org\/publication\/hosted-web-service-and-its-performance-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Hosted Web Service and Its Performance Analysis - International Conference Publications\" \/>\n<meta property=\"og:description\" content=\"Hosted Web Service and Its Performance Analysis Queue Model for Mobile Device Hosted Web Service To analysis the performance of the integrated web service framework for mobile device hosted web service, we build the following queue mode (See Fig.2) In... 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