The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform

Dimitris Plexousakis - One of the best experts on this subject based on the ideXlab platform.

  • CLOUD - Multi-cloud Application Design through Cloud Service Composition
    2015 IEEE 8th International Conference on Cloud Computing, 2015
    Co-Authors: Kyriakos Kritikos, Dimitris Plexousakis
    Abstract:

    While various platforms are offering facilities for single-cloud application Design, deployment and provisioning, there is a need to move to multiple clouds in order to achieve cost-effectiveness and avoid vendor lock-in. Apart from not supporting multi-cloud application management, many platforms usually focus on the deployment and provisioning phases of the cloud-based application lifecycle by neglecting the Design phase. However, the Design selection of the best possible cloud service composition affects the provisioning phase, as the more distant from optimality is the selected solution, the more adaptation actions will be enacted. To this end, there is a high need for cloud application Design tools and methods which can select the best possible cloud service composition based on user requirements. This paper satisfies this need by proposing a cloud service composition approach able to optimally compose different types of cloud services by simultaneously satisfying various types of user requirements. These types, not concurrently supported by any cloud application Design tool, include quality, deployment, security, placement and cost requirements. Moreover, the proposed approach addresses a particular Design Choice type not currently considered in literature.

  • Multi-cloud Application Design through Cloud Service Composition
    2015 IEEE 8th International Conference on Cloud Computing, 2015
    Co-Authors: Kyriakos Kritikos, Dimitris Plexousakis
    Abstract:

    While various platforms are offering facilities for single-cloud application Design, deployment and provisioning, there is a need to move to multiple clouds in order to achieve cost-effectiveness and avoid vendor lock-in. Apart from not supporting multi-cloud application management, many platforms usually focus on the deployment and provisioning phases of the cloud-based application lifecycle by neglecting the Design phase. However, the Design selection of the best possible cloud service composition affects the provisioning phase, as the more distant from optimality is the selected solution, the more adaptation actions will be enacted. To this end, there is a high need for cloud application Design tools and methods which can select the best possible cloud service composition based on user requirements. This paper satisfies this need by proposing a cloud service composition approach able to optimally compose different types of cloud services by simultaneously satisfying various types of user requirements. These types, not concurrently supported by any cloud application Design tool, include quality, deployment, security, placement and cost requirements. Moreover, the proposed approach addresses a particular Design Choice type not currently considered in literature.

Kyriakos Kritikos - One of the best experts on this subject based on the ideXlab platform.

  • CLOUD - Multi-cloud Application Design through Cloud Service Composition
    2015 IEEE 8th International Conference on Cloud Computing, 2015
    Co-Authors: Kyriakos Kritikos, Dimitris Plexousakis
    Abstract:

    While various platforms are offering facilities for single-cloud application Design, deployment and provisioning, there is a need to move to multiple clouds in order to achieve cost-effectiveness and avoid vendor lock-in. Apart from not supporting multi-cloud application management, many platforms usually focus on the deployment and provisioning phases of the cloud-based application lifecycle by neglecting the Design phase. However, the Design selection of the best possible cloud service composition affects the provisioning phase, as the more distant from optimality is the selected solution, the more adaptation actions will be enacted. To this end, there is a high need for cloud application Design tools and methods which can select the best possible cloud service composition based on user requirements. This paper satisfies this need by proposing a cloud service composition approach able to optimally compose different types of cloud services by simultaneously satisfying various types of user requirements. These types, not concurrently supported by any cloud application Design tool, include quality, deployment, security, placement and cost requirements. Moreover, the proposed approach addresses a particular Design Choice type not currently considered in literature.

  • Multi-cloud Application Design through Cloud Service Composition
    2015 IEEE 8th International Conference on Cloud Computing, 2015
    Co-Authors: Kyriakos Kritikos, Dimitris Plexousakis
    Abstract:

    While various platforms are offering facilities for single-cloud application Design, deployment and provisioning, there is a need to move to multiple clouds in order to achieve cost-effectiveness and avoid vendor lock-in. Apart from not supporting multi-cloud application management, many platforms usually focus on the deployment and provisioning phases of the cloud-based application lifecycle by neglecting the Design phase. However, the Design selection of the best possible cloud service composition affects the provisioning phase, as the more distant from optimality is the selected solution, the more adaptation actions will be enacted. To this end, there is a high need for cloud application Design tools and methods which can select the best possible cloud service composition based on user requirements. This paper satisfies this need by proposing a cloud service composition approach able to optimally compose different types of cloud services by simultaneously satisfying various types of user requirements. These types, not concurrently supported by any cloud application Design tool, include quality, deployment, security, placement and cost requirements. Moreover, the proposed approach addresses a particular Design Choice type not currently considered in literature.

Ali Chehab - One of the best experts on this subject based on the ideXlab platform.

  • ServBGP: BGP-inspired autonomic service routing for multi-provider collaborative architectures in the cloud
    Future Generation Computer Systems, 2014
    Co-Authors: Wassim Itani, Cesar Ghali, Ramzi Bassil, Ayman Kayssi, Ali Chehab
    Abstract:

    In this paper we propose the Design and implementation of ServBGP, a service routing protocol for managing service collaboration among cloud providers in cloud computing. ServBGP is based on the policy-driven Design of the well-known BGP Internet routing protocol to support the different service interaction models currently employed in the cloud particularly the monolithic, composite, and broker-based service models. The main contribution of this work lies in devising a system that autonomously manages the different aspects of service interaction and collaboration among service providers from service discovery and advertisement to service consumption and revocation. The ServBGP routing decision engine is Designed to operate by (1) processing cost-bidding service advertisement and revocation messages from the different cloud providers and (2) extracting objective and trustworthy feedback which is maintained by certified network entities and which consists of a set of reputation scores related to quality of service, security, and pricing. The BGP-inspired Design Choice allows the proposed system to "stand upon the shoulders of giants" by relying on a time-tested protocol that currently supports scalable inter-domain routing services among over 120,000 IPv4 prefixes in the Internet. Moreover, reusing the decision logic of the standard BGP protocol aids in reducing the development and operational costs, hence shortening the time to market, and utilizing a large set of BGP extensions, particularly, in the security domain, that have been incorporated into BGP since its inception in 1989. These qualities are of a chief importance in the cloud community today to ensure the efficient and secure service collaboration among cloud providers and to support the evolution, scalability, and economic feasibility of the overall cloud computing infrastructure. A proof of concept implementation of the ServBGP Design is realized on the NetKit network emulation and virtualization platform using the standard BGPv4 protocol. Moreover, the devised ServBGP Design is developed from the ground up and deployed in a real cloud computing environment using Amazon EC2, Microsoft Azure, and Google App Engine cloud platforms.

Chen He - One of the best experts on this subject based on the ideXlab platform.

  • Model-Set Design, Choice, and Comparison for Multiple-Model Approach to Hybrid Estimation
    2002
    Co-Authors: X. Rong Li, Zhanlue Zhao, Peng Zhang, Chen He
    Abstract:

    The most important problem in the application of the multiple-model approach is the Design of the model set used. This paper deals with this challenging topic in a general setting, along with model-set Choice and com- parison. General and representative problems of model-set Design, Choice, and comparison are considered. Modeling of models as well as true mode as random variables is pro- posed. Several general methods for Design of model sets are presented by minimizing distribution mismatch, minimizing modal distance, and moment matching. The concept of rel- ative efficacy of each model in a set and its two quantitative descriptions are introduced. Optimality criteria and perfor- mance measures for model-set Design, Choice, and compar- ison based on base-state estimation, mode estimation, mode identification, hybrid-state estimation, information metrics, and hypothesis testing are presented. Several computa- tionally efficient and easily implementable solutions of the model-set Choice problems based on sequential hypothesis testing are presented, some of which are optimal. Examples that demonstrate how some of these theoretical results can be used as well as their effectiveness are given. Many of the general results presented in this paper are also useful for performance evaluation of MM algorithms.

  • Model-set Design, Choice, and comparison for multiple-model estimation
    Signal and Data Processing of Small Targets 1999, 1999
    Co-Authors: X. Rong Li, Chen He
    Abstract:

    This paper deals with the Design, Choice, and comparison of model sets in the multiple-model (MM) approach to adaptive estimation. Most representative problems of model-set Choice and Design are considered. As the basis of model-set Choice and Design, criteria for model-set comparison and Choice based on base-state estimation, mode estimation, mode identification, hybrid-state estimation, and hypothesis testing are presented first. Several computationally efficient and easily implementable solutions of the model- set Choice problems based on sequential hypothesis tests are presented. Some of these solutions are optimal. Their effectiveness is verified via simulation. How these criteria and result can be used for model-set Design is demonstrated via several examples. It is also demonstrated how a probabilistic model of possible scenarios can be constructed.© (1999) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Antonio Gonzalez - One of the best experts on this subject based on the ideXlab platform.

  • power performance thermal Design space exploration for multicore architectures
    IEEE Transactions on Parallel and Distributed Systems, 2008
    Co-Authors: Matteo Monchiero, Ramon Canal, Antonio Gonzalez
    Abstract:

    Multicore architectures have been ruling the recent microprocessor Design trend. This is due to different reasons: better performance, thread-level parallelism bounds in modern applications, ILP diminishing returns, better thermal/power scaling (many small cores dissipate less than a large and complex one), and the ease and reuse of Design. This paper presents a thorough evaluation of multicore architectures. The architecture that we target is composed of a configurable number of cores, a memory hierarchy consisting of private L1, shared/private L2, and a shared bus interconnect. We consider a benchmark set composed of several parallel shared memory applications. We explore the Design space related to the number of cores, L2 cache size, and processor complexity, showing the behavior of the different configurations/applications with respect to performance, energy consumption, and temperature. Design trade-offs are analyzed, stressing the interdependency of the metrics and Design factors. In particular, we evaluate several chip floorplans. Their power/thermal characteristics are analyzed, showing the importance of considering thermal effects at the architectural level to achieve the best Design Choice.

  • Design space exploration for multicore architectures a power performance thermal view
    International Conference on Supercomputing, 2006
    Co-Authors: Matteo Monchiero, Ramon Canal, Antonio Gonzalez
    Abstract:

    Multicore architectures are ruling the recent microprocessor Design trend. This is due to different reasons: better performance, thread-level parallelism bounds in modern applications, ILP diminishing returns, better thermal/power scaling (many small cores dissipate less than a large and complex one); and, ease and reuse of Design.This paper presents a thorough evaluation of multicore architectures. The architecture we target is composed of a configurable number of cores, a memory hierarchy consisting of private L1 and L2, and a shared bus interconnect. We consider parallel shared memory applications. We explore the Design space related to the number of cores, L2 cache size and processor complexity, showing the behavior of the different configurations/applications with respect to performance, energy consumption and temperature. Design tradeoffs are analyzed, stressing the interdependency of the metrics and Design factors. In particular, we evaluate several chip floorplans. Their power/thermal characteristics are analyzed and they show the importance of considering thermal effects at the architectural level to achieve the best Design Choice.