An experimental performance evaluation of different remote servers to analyze the effect of divergent load and congestion

In terms of provisioning of guaranteed QoS to the end-user, the performance of remote servers is a critical issue for internet service providers to remain competitive in the market. The end-user would like to have a quick and instant response from the webmail server to enjoy the service. Load and congestion are the greatest hurdles in web based linkage and conversation. The efficiency of web page retrieval is degraded due to the peak use of internet and also because of its highly complex architecture. This paper provides an experimental effort to analyze the effect of load and congestion on web services and measures the performance characteristics like Response time, Latency, jitter, Round Trip Time, hits lost ratio, Page error rates, sending and receiving speed, availability and reliability for accessing different popular and vastly used remote servers (Yahoo Server, Gmail Server, Hotmail Server) to conclude, how load and congestion cause the increment in latency of services? Is there any significant relationship between congestion and hop counts? We contributed new and novel results for further discussions.

[1]  Ramesh Govindan,et al.  Understanding congestion control in multi-hop wireless mesh networks , 2008, MobiCom '08.

[2]  Albert Greenberg,et al.  Operations and Management of IP Networks: What Researchers Should Know , 2005 .

[3]  Shamala Subramaniam,et al.  On the delay and link utilization with the new-additive increase multiplicative decrease congestion avoidance and control algorithm , 2010 .

[4]  Srinivasan Seshan,et al.  SPAND: Shared Passive Network Performance Discovery , 1997, USENIX Symposium on Internet Technologies and Systems.

[5]  Hüseyin Ekiz,et al.  A new routing algorithm in MANETs: Position based hybrid routing , 2010 .

[6]  Paul Barford,et al.  Accurate and efficient SLA compliance monitoring , 2007, SIGCOMM '07.

[7]  Xinzhi Liu,et al.  AIMD Congestion Control : Stability , TCP-friendliness , Delay Performance , 2022 .

[8]  Mark Crovella,et al.  Measuring Bottleneck Link Speed in Packet-Switched Networks , 1996, Perform. Evaluation.

[9]  Jean-Chrysostome Bolot,et al.  End-to-end packet delay and loss behavior in the internet , 1993, SIGCOMM '93.

[10]  Sebastian Zander,et al.  Client RTT and hop Count Distributions viewed from an Australian ‘Enemy Territory’ Server , 2006 .

[11]  Haiyun Luo,et al.  The impact of multihop wireless channel on TCP throughput and loss , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[12]  S. Vadivel,et al.  Design and Security Analysis of web application based and web services based Patient Management System (PMS) , 2010 .

[13]  T. Bass Traffic congestion measurements in transit IP networks , 1997, MILCOM 97 MILCOM 97 Proceedings.

[14]  Srinivasan Keshav,et al.  Packet-Pair Flow Control , 2003 .

[15]  Amin Vahdat,et al.  Measuring End-to-End Internet Service Performance : Response Time , Caching Efficiency and Qos , 2002 .

[16]  Mario Gerla,et al.  Enhancing TCP fairness in ad hoc wireless networks using neighborhood RED , 2003, MobiCom '03.

[17]  Gurjit Singh Butalia,et al.  Secure web browsing over long-delay broadband networks - Recommendations for Web Browsers , 2004, e-Business and Telecommunication Networks.

[18]  Amin Vahdat,et al.  EtE: Passive End-to-End Internet Service Performance Monitoring , 2002, USENIX Annual Technical Conference, General Track.

[19]  Lalitsen Sharma,et al.  Performance Analysis of Internal vs. External Security Mechanism in Web Applications , 2010 .

[20]  Ramesh Govindan,et al.  RCRT: rate-controlled reliable transport for wireless sensor networks , 2007, SenSys '07.