Conference Paper

Grid allocation and reservation - Grid capacity planning with negotiation-based advance reservation for optimized QoS.

Conference: Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, November 11-17, 2006, Tampa, FL, USA
Source: DBLP
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    • "medium, low, very low}, the approach proposed by Mumtaz et al. in [17] is adopted. Based on a pre-defined semanticsbased hierarchical structure of all possible values of a nonnumerical QoS parameter, each level of the hierarchy is associated with a numerical value. "
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    ABSTRACT: Cloud-based software applications (Software as a Service - SaaS) for multi-tenant provisioning have become a major development paradigm in Web engineering. Instead of serving a single end-user, a multi-tenant SaaS provides multiple end-users with the same functionality but with potentially different quality-of-service (QoS) values. The service selection for such a SaaS is a complex decision-making process which involves a number of stakeholders with different QoS requirements. SaaS developers need to compose services with different QoS values to meet end-users' different multidimensional QoS constraints for the SaaS. Furthermore, they also need to satisfy SaaS providers' optimisation goals for the SaaS, such as least resource cost and best system performance. Existing QoS-aware service selection approaches are oriented at a single tenant. They do not consider the characteristics of multi-tenant SaaS and hence are ineffective and inefficient when applied to compose multi-tenant SaaS. In this paper, we introduce a novel QoS-driven approach for helping SaaS developers select the services for composing multi-tenant SaaS, which achieves SaaS providers' optimisation goals while fulfilling the end-users' different levels of QoS constraints. The proposed approach is evaluated using an example SaaS synthetically generated based on a dataset of real-world Web services. Experimental results show that our approach significantly outperforms existing approaches in terms of both effectiveness and performance.
    Full-text · Conference Paper · Jan 2012
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    • "To support real-time applications at a Grid level, advance reservations of cluster resources play a key role. However, in a cluster, advance reservations have been largely ignored due to the under-utilization concerns and lack of support for agreement enforcement [30]. "
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    ABSTRACT: Providing QoS and performance guarantees to arbitrarily divisible loads has become a significant problem for many cluster-based research computing facilities. While progress is being made in scheduling arbitrarily divisible loads, previous approaches have no support for advance reservations. However, with the emergence of grid applications that require simultaneous access to multi-site resources, supporting advance reservations in a cluster has become increasingly important. In this paper we propose a new divisible load real-time scheduling algorithm that supports advance reservations in a cluster. Our approach not only enforces the real-time agreement but also addresses the under-utilization concerns raised by advance reservations. The impact of advance reservations on system performance is systematically studied. Simulation results show that, with the proposed algorithm and appropriate advance reservations, the system performance could be maintained at the same level as the no reservation case.
    Preview · Conference Paper · Jul 2008
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    • "In the context of Grid or HPC scheduling the benefits of using overbooking are pointed out, but no solutions are provided [14] [15]. Overbooking is also foreseen in a three layered protocol for negotiation in Grids [16]. Here, the restriction is made that overbooking is only used for multiple reservations for workflow sub-jobs which were made by the negotiation protocol for optimal workflow planning. "

    Full-text · Conference Paper · Jan 2008
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