The Experts below are selected from a list of 14019 Experts worldwide ranked by ideXlab platform

Nagarajan Kandasamy - One of the best experts on this subject based on the ideXlab platform.

  • risk aware limited lookahead control for dynamic resource provisioning in Enterprise Computing systems
    Cluster Computing, 2007
    Co-Authors: Dragan Kusic, Nagarajan Kandasamy
    Abstract:

    Utility or on-demand Computing, a provisioning model where a service provider makes Computing infrastructure available to customers as needed, is becoming increasingly common in Enterprise Computing systems. Realizing this model requires making dynamic, and sometimes risky, resource provisioning and allocation decisions in an uncertain operating environment to maximize revenue while reducing operating cost. This paper develops an optimization framework wherein the resource provisioning problem is posed as one of sequential decision making under uncertainty and solved using a limited lookahead control scheme. The proposed approach accounts for the switching costs incurred during resource provisioning and explicitly encodes risk in the optimization problem. Simulations using workload traces from the Soccer World Cup 1998 web site show that a Computing system managed by our controller generates up to 20% more profit than a system without dynamic control while incurring low control overhead.

  • Risk-Aware Limited Lookahead Control for Dynamic Resource Provisioning in Enterprise Computing Systems
    2006 IEEE International Conference on Autonomic Computing, 2006
    Co-Authors: Dragan Kusic, Nagarajan Kandasamy
    Abstract:

    Utility or on-demand Computing, a provisioning model where a service provider makes Computing infrastructure available to customers as needed, is becoming increasingly common in Enterprise Computing systems. Realizing this model requires making dynamic and sometimes risky, resource provisioning and allocation decisions in an uncertain operating environment to maximize revenue while reducing operating cost. This paper develops an optimization framework wherein the resource provisioning problem is posed as one of sequential decision making under uncertainty and solved using a limited lookahead control scheme. The proposed approach accounts for the switching costs incurred during resource provisioning and explicitly encodes risk in the optimization problem. Simulations using workload traces from the Soccer World Cup 1998 web site show that a Computing system managed by our controller generates up to 20% more revenue than a system without dynamic control while incurring low control overhead.

  • ICAC - Risk-Aware Limited Lookahead Control for Dynamic Resource Provisioning in Enterprise Computing Systems
    2006 IEEE International Conference on Autonomic Computing, 2006
    Co-Authors: Dragan Kusic, Nagarajan Kandasamy
    Abstract:

    Utility or on-demand Computing, a provisioning model where a service provider makes Computing infrastructure available to customers as needed, is becoming increasingly common in Enterprise Computing systems. Realizing this model requires making dynamic and sometimes risky, resource provisioning and allocation decisions in an uncertain operating environment to maximize revenue while reducing operating cost. This paper develops an optimization framework wherein the resource provisioning problem is posed as one of sequential decision making under uncertainty and solved using a limited lookahead control scheme. The proposed approach accounts for the switching costs incurred during resource provisioning and explicitly encodes risk in the optimization problem. Simulations using workload traces from the Soccer World Cup 1998 web site show that a Computing system managed by our controller generates up to 20% more revenue than a system without dynamic control while incurring low control overhead.

Dragan Kusic - One of the best experts on this subject based on the ideXlab platform.

  • risk aware limited lookahead control for dynamic resource provisioning in Enterprise Computing systems
    Cluster Computing, 2007
    Co-Authors: Dragan Kusic, Nagarajan Kandasamy
    Abstract:

    Utility or on-demand Computing, a provisioning model where a service provider makes Computing infrastructure available to customers as needed, is becoming increasingly common in Enterprise Computing systems. Realizing this model requires making dynamic, and sometimes risky, resource provisioning and allocation decisions in an uncertain operating environment to maximize revenue while reducing operating cost. This paper develops an optimization framework wherein the resource provisioning problem is posed as one of sequential decision making under uncertainty and solved using a limited lookahead control scheme. The proposed approach accounts for the switching costs incurred during resource provisioning and explicitly encodes risk in the optimization problem. Simulations using workload traces from the Soccer World Cup 1998 web site show that a Computing system managed by our controller generates up to 20% more profit than a system without dynamic control while incurring low control overhead.

  • Risk-Aware Limited Lookahead Control for Dynamic Resource Provisioning in Enterprise Computing Systems
    2006 IEEE International Conference on Autonomic Computing, 2006
    Co-Authors: Dragan Kusic, Nagarajan Kandasamy
    Abstract:

    Utility or on-demand Computing, a provisioning model where a service provider makes Computing infrastructure available to customers as needed, is becoming increasingly common in Enterprise Computing systems. Realizing this model requires making dynamic and sometimes risky, resource provisioning and allocation decisions in an uncertain operating environment to maximize revenue while reducing operating cost. This paper develops an optimization framework wherein the resource provisioning problem is posed as one of sequential decision making under uncertainty and solved using a limited lookahead control scheme. The proposed approach accounts for the switching costs incurred during resource provisioning and explicitly encodes risk in the optimization problem. Simulations using workload traces from the Soccer World Cup 1998 web site show that a Computing system managed by our controller generates up to 20% more revenue than a system without dynamic control while incurring low control overhead.

  • ICAC - Risk-Aware Limited Lookahead Control for Dynamic Resource Provisioning in Enterprise Computing Systems
    2006 IEEE International Conference on Autonomic Computing, 2006
    Co-Authors: Dragan Kusic, Nagarajan Kandasamy
    Abstract:

    Utility or on-demand Computing, a provisioning model where a service provider makes Computing infrastructure available to customers as needed, is becoming increasingly common in Enterprise Computing systems. Realizing this model requires making dynamic and sometimes risky, resource provisioning and allocation decisions in an uncertain operating environment to maximize revenue while reducing operating cost. This paper develops an optimization framework wherein the resource provisioning problem is posed as one of sequential decision making under uncertainty and solved using a limited lookahead control scheme. The proposed approach accounts for the switching costs incurred during resource provisioning and explicitly encodes risk in the optimization problem. Simulations using workload traces from the Soccer World Cup 1998 web site show that a Computing system managed by our controller generates up to 20% more revenue than a system without dynamic control while incurring low control overhead.

Mohd Fadzil Hassan - One of the best experts on this subject based on the ideXlab platform.

  • Adaptive security architecture for protecting RESTful web services in Enterprise Computing environment
    Service Oriented Computing and Applications, 2018
    Co-Authors: Mohamed Ibrahim Beer, Mohd Fadzil Hassan
    Abstract:

    In this modern era of Enterprise Computing, the Enterprise application integration (EAI) is a well-known industry-recognized architectural principle that is built based on loosely coupled application architecture, where service-oriented architecture (SOA) is the architectural pattern for the implementation of EAI, whose computational elements are called as “services.” Though SOA can be implemented in a wide range of technologies, the web services implementation of SOA becomes the current selective choice due to its simplicity that works on basic Internet protocols. Web service technology defines several supporting protocols and specifications such as SOAP and WSDL for communication with client and server for data interchange. A new architectural paradigm has emerged in SOA in recent years called REpresentational State Transfer (REST) that is also used to integrate loosely coupled service components, named RESTful web services, by system integration consortiums. This SOA implementation does not possess adequate security solutions within it, and its security is completely dependent on network/transport layer security that is obsolete owing to latest web technologies such as Web 2.0 and its upgraded version, Web 3.0. Vendor security products have major implementation constraints such as they need secured organizational environment and breach to SOA specifications, hence introducing new vulnerabilities. Herein, we examine the security vulnerabilities of RESTful web services in the view of popular OWASP rating methodologies and analyze the gaps in the existing security solutions. We hence propose an adaptive security solution for REST that uses public key infrastructure techniques to enhance the security architecture. The proposed security architecture is constructed as an adaptive way-forward Internet-of-Things (IoT) friendly security solution that is comprised of three cyclic parts: learn, predict and prevent. A novel security component named “intelligent security engine” is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. This paper is written to present one of such algorithms to prevent SOA attacks on RESTful web services along the discussion on the obtained results of the conducted proof-of-concept on the real-time SOA environment. A comparison of the proposed system with other competing solutions demonstrates its superiority.

Wensyan Li - One of the best experts on this subject based on the ideXlab platform.

  • automated configuration of system infrastructure for soa based Enterprise Computing
    International Conference on e-Business Engineering, 2008
    Co-Authors: T Phan, Wensyan Li
    Abstract:

    In SOA-based Enterprise Computing environments, the deployment of high-levelservices onto the underlying servers is a first-class priority. Much work has focused on routing composite service workflow requests to deployed servers; however, the turn around time of the requests and the utility of the servers are dependent on how well the requested service types match the capacity and performance of the servers. In this paper we consider the scenario where service workload patterns are available to system administrators. The resulting problem is then how to automatically introduce new servers to scale up to meet the Computing requirements of that workload. We state the problem as a combinatorial search through a variety of configuration assignments of services onto the servers. We show that the optimal or near-optimal combinatorial selection can be found with an AI-based search heuristic.

Mohamed Ibrahim Beer - One of the best experts on this subject based on the ideXlab platform.

  • Adaptive security architecture for protecting RESTful web services in Enterprise Computing environment
    Service Oriented Computing and Applications, 2018
    Co-Authors: Mohamed Ibrahim Beer, Mohd Fadzil Hassan
    Abstract:

    In this modern era of Enterprise Computing, the Enterprise application integration (EAI) is a well-known industry-recognized architectural principle that is built based on loosely coupled application architecture, where service-oriented architecture (SOA) is the architectural pattern for the implementation of EAI, whose computational elements are called as “services.” Though SOA can be implemented in a wide range of technologies, the web services implementation of SOA becomes the current selective choice due to its simplicity that works on basic Internet protocols. Web service technology defines several supporting protocols and specifications such as SOAP and WSDL for communication with client and server for data interchange. A new architectural paradigm has emerged in SOA in recent years called REpresentational State Transfer (REST) that is also used to integrate loosely coupled service components, named RESTful web services, by system integration consortiums. This SOA implementation does not possess adequate security solutions within it, and its security is completely dependent on network/transport layer security that is obsolete owing to latest web technologies such as Web 2.0 and its upgraded version, Web 3.0. Vendor security products have major implementation constraints such as they need secured organizational environment and breach to SOA specifications, hence introducing new vulnerabilities. Herein, we examine the security vulnerabilities of RESTful web services in the view of popular OWASP rating methodologies and analyze the gaps in the existing security solutions. We hence propose an adaptive security solution for REST that uses public key infrastructure techniques to enhance the security architecture. The proposed security architecture is constructed as an adaptive way-forward Internet-of-Things (IoT) friendly security solution that is comprised of three cyclic parts: learn, predict and prevent. A novel security component named “intelligent security engine” is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. This paper is written to present one of such algorithms to prevent SOA attacks on RESTful web services along the discussion on the obtained results of the conducted proof-of-concept on the real-time SOA environment. A comparison of the proposed system with other competing solutions demonstrates its superiority.