The Experts below are selected from a list of 573 Experts worldwide ranked by ideXlab platform

Cho-li Wang - One of the best experts on this subject based on the ideXlab platform.

  • ICPP - Load balancing in distributed Web server systems with partial document replication
    Proceedings International Conference on Parallel Processing, 2002
    Co-Authors: Ling Zhuo, Cho-li Wang
    Abstract:

    How documents of a Web site are replicated and where they are placed among the server nodes have an important bearing on balance of load in a geographically distributed Web server (DWS) system. The Traffic generated due to movements of documents at runtime could also affect the performance of the DWS system. In this paper, we prove that minimizing such Traffic is NP-hard. We propose a new document distribution scheme that periodically performs partial replication of a site's documents at selected server locations to maintain load balancing. Several approximation algorithms are used in it to minimize Traffic generated. The simulation results show that this scheme can achieve better load balancing than a dynamic scheme, while the Internal Traffic it causes has a negligible effect on the system's performance.

  • Load balancing in distributed Web server systems with partial document replication
    Proceedings International Conference on Parallel Processing, 2002
    Co-Authors: Ling Zhuo, Cho-li Wang
    Abstract:

    How documents of a Web site are replicated and where they are placed among the server nodes have an important bearing on balance of load in a geographically distributed Web server (DWS) system. The Traffic generated due to movements of documents at runtime could also affect the performance of the DWS system. In this paper, we prove that minimizing such Traffic is NP-hard. We propose a new document distribution scheme that periodically performs partial replication of a site's documents at selected server locations to maintain load balancing. Several approximation algorithms are used in it to minimize Traffic generated. The simulation results show that this scheme can achieve better load balancing than a dynamic scheme, while the Internal Traffic it causes has a negligible effect on the system's performance.

A.i. Khan - One of the best experts on this subject based on the ideXlab platform.

  • ICPR (3) - A Pattern Recognition Scheme for Distributed Denial of Service (DDoS) Attacks in Wireless Sensor Networks
    18th International Conference on Pattern Recognition (ICPR'06), 2006
    Co-Authors: Z.a. Baig, M. Baqer, A.i. Khan
    Abstract:

    We define distinct attack patterns depicting Distributed Denial of Service (DDoS) attacks against target nodes within wireless sensor networks for three most commonly used network topologies. We propose a Graph Neuron (GN)-based, decentralized pattern recognition scheme for attack detection. The scheme does analysis of Internal Traffic flow of the network for DDoS attack patterns. We stipulate that the attack patterns depend on both the current energy levels, as well as the energy consumption rates of individual target nodes. The results of varying pattern update rates on the pattern recognition accuracies for the three network topologies are included in the end to test the effectiveness of our implementation.

  • A Pattern Recognition Scheme for Distributed Denial of Service (DDoS) Attacks in Wireless Sensor Networks
    18th International Conference on Pattern Recognition (ICPR'06), 2006
    Co-Authors: Z.a. Baig, M. Baqer, A.i. Khan
    Abstract:

    We define distinct attack patterns depicting distributed denial of service (DDoS) attacks against target nodes within wireless sensor networks for three most commonly used network topologies. We propose a graph neuron (GN)-based, decentralized pattern recognition scheme for attack detection. The scheme does analysis of Internal Traffic flow of the network for DDoS attack patterns. We stipulate that the attack patterns depend on both the current energy levels, as well as the energy consumption rates of individual target nodes. The results of varying pattern update rates on the pattern recognition accuracies for the three network topologies are included in the end to test the effectiveness of our implementation

David A Maltz - One of the best experts on this subject based on the ideXlab platform.

  • network Traffic characteristics of data centers in the wild
    Internet Measurement Conference, 2010
    Co-Authors: Theophilus Benson, Aditya Akella, David A Maltz
    Abstract:

    Although there is tremendous interest in designing improved networks for data centers, very little is known about the network-level Traffic characteristics of data centers today. In this paper, we conduct an empirical study of the network Traffic in 10 data centers belonging to three different categories, including university, enterprise campus, and cloud data centers. Our definition of cloud data centers includes not only data centers employed by large online service providers offering Internet-facing applications but also data centers used to host data-intensive (MapReduce style) applications). We collect and analyze SNMP statistics, topology and packet-level traces. We examine the range of applications deployed in these data centers and their placement, the flow-level and packet-level transmission properties of these applications, and their impact on network and link utilizations, congestion and packet drops. We describe the implications of the observed Traffic patterns for data center Internal Traffic engineering as well as for recently proposed architectures for data center networks.

  • Internet Measurement Conference - Network Traffic characteristics of data centers in the wild
    Proceedings of the 10th annual conference on Internet measurement - IMC '10, 2010
    Co-Authors: Theophilus Benson, Aditya Akella, David A Maltz
    Abstract:

    Although there is tremendous interest in designing improved networks for data centers, very little is known about the network-level Traffic characteristics of data centers today. In this paper, we conduct an empirical study of the network Traffic in 10 data centers belonging to three different categories, including university, enterprise campus, and cloud data centers. Our definition of cloud data centers includes not only data centers employed by large online service providers offering Internet-facing applications but also data centers used to host data-intensive (MapReduce style) applications). We collect and analyze SNMP statistics, topology and packet-level traces. We examine the range of applications deployed in these data centers and their placement, the flow-level and packet-level transmission properties of these applications, and their impact on network and link utilizations, congestion and packet drops. We describe the implications of the observed Traffic patterns for data center Internal Traffic engineering as well as for recently proposed architectures for data center networks.

Robert Burch - One of the best experts on this subject based on the ideXlab platform.

  • Internal Traffic control plans and worker safety planning tool
    Transportation Research Record, 2006
    Co-Authors: Jerry L Graham, Robert Burch
    Abstract:

    The safety of pedestrian workers and construction vehicle operators can be enhanced by a carefully prepared Internal Traffic control plan (ITCP) administered by a competent person. Time and effort spent in preparing and using an ITCP should lower the rate of occupational injuries and fatalities experienced by construction personnel. This paper describes the purpose and components of ITCPs and presents details of a number of highway worker accidents and discusses how an ITCP prepared by a competent person on the project could have prevented or lessened the severity of the accident. Results of observation of paving at four sites in Arizona and recommendations for preparation and use of ITCPs are also discussed. Accident details are taken from several investigations and from Fatality Assessment and Control Evaluations funded by the National Institute for Occupational Safety and Health. During the study of four paving sites, a guide for preparing and administering ITCP was prepared.

  • Internal Traffic Control Plans
    2005
    Co-Authors: Jerry L Graham, Charles L Williams, Robert Burch
    Abstract:

    While a temporary Traffic control plan describes how a specific work zone is to be set up to ensure the safety of the motoring public, construction equipment and vehicles within the work space are not addressed. An Internal Traffic control plan (ITCP) is a tool that project managers can use to coordinate and control the flow of construction vehicles, equipment, and workers operating in close proximity within the activity area to ensure the safety of workers. Recent federal regulations require safety plans of all construction contractors prepared by competent persons. The concept of ITCP was developed as a promising intervention in research conducted by the Laborers’ Health and Safety Fund for the Federal Highway Administration. This study found that only one-third of highway worker injuries are Traffic-related, and that approximately half of the fatal injuries of workers on foot in the work space involve a backing construction vehicle. Among interventions that were developed during this research was the provision of an Internal Traffic control plan to control Traffic within the work space. Model ITCPs were developed for paving, dirt spread, and trenching operations. Additional accident data on worker injuries was collected and analyzed by Pratt et al. of the National Institute for Occupational Safety and Health (NIOSH). In 2002, NIOSH sponsored research to prove the applicability of the ITCP concept to paving operations on freeway work zones. Two asphalt paving and two portland cement concrete sites were observed in this research, and ITCPs were developed for each site. An ITCP development guide to aid contractors in preparing ITCPs was also developed in this research. This paper will describe the preparation of ITCPs and discuss field observations of asphalt and concrete paving operations. While additional research is needed, this intervention shows promise to reduce worker injuries in highway construction zones.

Ling Zhuo - One of the best experts on this subject based on the ideXlab platform.

  • ICPP - Load balancing in distributed Web server systems with partial document replication
    Proceedings International Conference on Parallel Processing, 2002
    Co-Authors: Ling Zhuo, Cho-li Wang
    Abstract:

    How documents of a Web site are replicated and where they are placed among the server nodes have an important bearing on balance of load in a geographically distributed Web server (DWS) system. The Traffic generated due to movements of documents at runtime could also affect the performance of the DWS system. In this paper, we prove that minimizing such Traffic is NP-hard. We propose a new document distribution scheme that periodically performs partial replication of a site's documents at selected server locations to maintain load balancing. Several approximation algorithms are used in it to minimize Traffic generated. The simulation results show that this scheme can achieve better load balancing than a dynamic scheme, while the Internal Traffic it causes has a negligible effect on the system's performance.

  • Load balancing in distributed Web server systems with partial document replication
    Proceedings International Conference on Parallel Processing, 2002
    Co-Authors: Ling Zhuo, Cho-li Wang
    Abstract:

    How documents of a Web site are replicated and where they are placed among the server nodes have an important bearing on balance of load in a geographically distributed Web server (DWS) system. The Traffic generated due to movements of documents at runtime could also affect the performance of the DWS system. In this paper, we prove that minimizing such Traffic is NP-hard. We propose a new document distribution scheme that periodically performs partial replication of a site's documents at selected server locations to maintain load balancing. Several approximation algorithms are used in it to minimize Traffic generated. The simulation results show that this scheme can achieve better load balancing than a dynamic scheme, while the Internal Traffic it causes has a negligible effect on the system's performance.