The Experts below are selected from a list of 11592 Experts worldwide ranked by ideXlab platform

J V R Murthy - One of the best experts on this subject based on the ideXlab platform.

  • an approach to measure security of cloud Hosted Application
    International Conference on Cloud Computing, 2013
    Co-Authors: Nitin Singh Chauhan, Ashutosh Saxena, J V R Murthy
    Abstract:

    Recent time has seen rampant proliferation in the cloud services. However cloud services characteristics has also increased opportunities for attacks on data and Applications Hosted in the cloud. Unsecure practices at technical or/and at operational level by cloud service providers (CSP), dependency on web based service delivery and cloud technology related vulnerabilities could lead to Application and data compromise. These threat scenarios require cloud customer to look for more transparency and controls. SLA's and contracts do not provide technical and measurable method to find the security control status of cloud Hosted Application/data. In this paper,we propose an approach and system for security measurement, which can help cloud customers to have realistic view of their Application/data security posture in the cloud environment.

Nitin Singh Chauhan - One of the best experts on this subject based on the ideXlab platform.

  • an approach to measure security of cloud Hosted Application
    International Conference on Cloud Computing, 2013
    Co-Authors: Nitin Singh Chauhan, Ashutosh Saxena, J V R Murthy
    Abstract:

    Recent time has seen rampant proliferation in the cloud services. However cloud services characteristics has also increased opportunities for attacks on data and Applications Hosted in the cloud. Unsecure practices at technical or/and at operational level by cloud service providers (CSP), dependency on web based service delivery and cloud technology related vulnerabilities could lead to Application and data compromise. These threat scenarios require cloud customer to look for more transparency and controls. SLA's and contracts do not provide technical and measurable method to find the security control status of cloud Hosted Application/data. In this paper,we propose an approach and system for security measurement, which can help cloud customers to have realistic view of their Application/data security posture in the cloud environment.

Julian M. Bass - One of the best experts on this subject based on the ideXlab platform.

  • Optimal deployment of components of cloud-Hosted Application for guaranteeing multitenancy isolation
    Journal of Cloud Computing, 2019
    Co-Authors: Laud Charles Ochei, Andrei Petrovski, Julian M. Bass
    Abstract:

    One of the challenges of deploying multitenant cloud-Hosted services that are designed to use (or be integrated with) several components is how to implement the required degree of isolation between the components when there is a change in the workload. Achieving the highest degree of isolation implies deploying a component exclusively for one tenant; which leads to high resource consumption and running cost per component. A low degree of isolation allows sharing of resources which could possibly reduce cost, but with known limitations of performance and security interference. This paper presents a model-based algorithm together with four variants of a metaheuristic that can be used with it, to provide near-optimal solutions for deploying components of a cloud-Hosted Application in a way that guarantees multitenancy isolation. When the workload changes, the model-based algorithm solves an open multiclass QN model to determine the average number of requests that can access the components and then uses a metaheuristic to provide near-optimal solutions for deploying the components. Performance evaluation showed that the obtained solutions had low variability and percent deviation when compared to the reference/optimal solution. We also provide recommendations and best practice guidelines for deploying components in a way that guarantees the required degree of isolation.

  • optimizing the deployment of cloud Hosted Application components for guaranteeing multitenancy isolation
    International Conference on Information Society, 2016
    Co-Authors: Laud Charles Ochei, Andrei Petrovski, Julian M. Bass
    Abstract:

    The sharing of components of a cloud-Hosted Application and the underlying cloud resources between tenants have the potential to reduce resource consumption and running cost per tenant. However, this sharing may allow the behaviour of one component to affect the performance, resource consumption and access privileges of other components, for example, if the Application fails to scale-up when the workload of one of the component increases suddenly. This problem becomes even more acute when components are associated with different or higher degrees of isolation among them. This paper presents a mathematical optimization model and a metaheuristic (based on simulated annealing) solution for providing near-optimal solutions for deploying components of a cloud-Hosted Application in a way that guarantees the required degree of isolation between the components. Our experiments showed that the near-optimal solutions obtained from our model had low variability and percent deviation, when compared with the optimal solution. We also provide some recommendations in deploying components associated with varying degrees of isolation.

Laud Charles Ochei - One of the best experts on this subject based on the ideXlab platform.

  • Optimal deployment of components of cloud-Hosted Application for guaranteeing multitenancy isolation
    Journal of Cloud Computing, 2019
    Co-Authors: Laud Charles Ochei, Andrei Petrovski, Julian M. Bass
    Abstract:

    One of the challenges of deploying multitenant cloud-Hosted services that are designed to use (or be integrated with) several components is how to implement the required degree of isolation between the components when there is a change in the workload. Achieving the highest degree of isolation implies deploying a component exclusively for one tenant; which leads to high resource consumption and running cost per component. A low degree of isolation allows sharing of resources which could possibly reduce cost, but with known limitations of performance and security interference. This paper presents a model-based algorithm together with four variants of a metaheuristic that can be used with it, to provide near-optimal solutions for deploying components of a cloud-Hosted Application in a way that guarantees multitenancy isolation. When the workload changes, the model-based algorithm solves an open multiclass QN model to determine the average number of requests that can access the components and then uses a metaheuristic to provide near-optimal solutions for deploying the components. Performance evaluation showed that the obtained solutions had low variability and percent deviation when compared to the reference/optimal solution. We also provide recommendations and best practice guidelines for deploying components in a way that guarantees the required degree of isolation.

  • a model for optimising the deployment of cloud Hosted Application components for guaranteeing multitenancy isolation
    Advances in Science Technology and Engineering Systems Journal, 2018
    Co-Authors: Laud Charles Ochei, Christopher Ifeanyichukwu Ejiofor
    Abstract:

    Tenants associated with a cloud-Hosted Application seek to reduce running costs and minimize resource consumption by sharing components and resources. However, despite the benefits, sharing resources can affect tenant’s access and overall performance if one tenant abruptly experiences a significant workload, particularly if the Application fails to accommodate this sudden increase in workload. In cases where a there is a higher or varying degree of isolation between components, this issue can become severe. This paper aims to present novel solutions for deploying components of a cloud-Hosted Application with the purpose of guaranteeing the required degree of multitenancy isolation through a mathematical optimization model and metaheuristic algorithm. Research conducted through this paper demonstrates that, when compared, optimal solutions achieved through the model had low variability levels and percent deviation. This paper additionally provides areas of Application of our optimization model as well as challenges and recommendations for deploying components associated with varying degrees of isolation.

  • optimizing the deployment of cloud Hosted Application components for guaranteeing multitenancy isolation
    International Conference on Information Society, 2016
    Co-Authors: Laud Charles Ochei, Andrei Petrovski, Julian M. Bass
    Abstract:

    The sharing of components of a cloud-Hosted Application and the underlying cloud resources between tenants have the potential to reduce resource consumption and running cost per tenant. However, this sharing may allow the behaviour of one component to affect the performance, resource consumption and access privileges of other components, for example, if the Application fails to scale-up when the workload of one of the component increases suddenly. This problem becomes even more acute when components are associated with different or higher degrees of isolation among them. This paper presents a mathematical optimization model and a metaheuristic (based on simulated annealing) solution for providing near-optimal solutions for deploying components of a cloud-Hosted Application in a way that guarantees the required degree of isolation between the components. Our experiments showed that the near-optimal solutions obtained from our model had low variability and percent deviation, when compared with the optimal solution. We also provide some recommendations in deploying components associated with varying degrees of isolation.

Ashutosh Saxena - One of the best experts on this subject based on the ideXlab platform.

  • an approach to measure security of cloud Hosted Application
    International Conference on Cloud Computing, 2013
    Co-Authors: Nitin Singh Chauhan, Ashutosh Saxena, J V R Murthy
    Abstract:

    Recent time has seen rampant proliferation in the cloud services. However cloud services characteristics has also increased opportunities for attacks on data and Applications Hosted in the cloud. Unsecure practices at technical or/and at operational level by cloud service providers (CSP), dependency on web based service delivery and cloud technology related vulnerabilities could lead to Application and data compromise. These threat scenarios require cloud customer to look for more transparency and controls. SLA's and contracts do not provide technical and measurable method to find the security control status of cloud Hosted Application/data. In this paper,we propose an approach and system for security measurement, which can help cloud customers to have realistic view of their Application/data security posture in the cloud environment.