On Quality of Service Support for Grid Computing

Colling, D.; Ferrari, Tiziana; Hassoun, Youssef; Huang, Chenxi; Kotsokalis, Constantinos; McGough, Andrew Stephen; Ronchieri, Elisabetta; Patel, Yash; Tsanakas, Panayiotis

doi:10.1007/978-0-387-09663-6_21

Cited by 8 publications

(5 citation statements)

References 3 publications

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“…Colling et al [3] proposed a framework for supporting QoS guarantees via both reservation and discovery of best-effort services. They also discussed that applications with specific QoS requirements can benefit from mechanisms for the support of both strict and loose guarantees.…”

Section: Needs For Supporting Service-level Agreementsmentioning

confidence: 99%

Enhancing virtual environments with QoS aware resource management

2009

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Nowadays, the consolidation of application servers is the most common use for current virtualization solutions. Each application server takes the form of a virtual machine (VM) that can be hosted into one physical machine. In a default Xen implementation, the scheduler is configured to handle equally all of the VMs that run on a single machine. As a consequence, the scheduler shares equally all of the available physical CPU resources among the running VMs. However, when the applications that run in the VM dynamically change their resource requirements, a different solution is needed. Furthermore, if the resource usage is associated with service-level agreements, a predefined equal share of the processor power is insufficient for the VMs. Within the Xen's primitives, even though it is possible to tune the scheduler parameters, there is no tool to achieve the dynamic change of the share of the processor power assigned to each VM. A combination of a number of primitives, however, appears to be suited as a base for achieving this. In this paper, we present an approach to efficiently manage the quality of service (QoS) of virtualized resources in multicore machines. We evaluate different alternatives within Xen for building an enhanced management of virtual CPU resources. We compare these alternatives in terms of performance, flexibility, and ease of use. We devise an architecture to build a high-level service that combines interdomain communication mechanisms with monitoring and control primitives for local resource management. We achieve this by our solution, a local resource manager (LRM), which adjusts the resources needed by each VM according to an agreed QoS. The LRM has been implemented as a prototype and deployed on Xen-virtualized machines. By means of experiments, we show that the implemented management component can meet the service-level objectives even under dynamic conditions by adapting the resources assigned to the virtualized machines according to demand. With the LRM, we therefore achieve both fine-grain resource allocation and efficient assignment.

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Section: Needs For Supporting Service-level Agreementsmentioning

confidence: 99%

Enhancing virtual environments with QoS aware resource management

2009

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“…As an instrument for showing the explicit relationship between negotiating and monitoring service guarantees, below we outline some formal definitions of Quality of Service (QoS) properties that are commonly adopted in literature for software services, e.g. [4,5,6].…”

Section: Agreement Termsmentioning

confidence: 99%

Establishing and Monitoring SLAs in Complex Service Based Systems

Comuzzi

Kotsokalis

Spanoudakis

et al. 2009

2009 IEEE International Conference on Web Services

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This is the accepted version of the paper.This version of the publication may differ from the final published version.Permanent repository link: http://openaccess.city.ac.uk/12617/ Link to published version: http://dx. AbstractIn modern service economies, service provisioning needs to be regulated by complex SLA hierarchies among providers of heterogeneous services, defined at the business, software, and infrastructure layers. Starting from the SLA Management framework defined in the SLA@SOI EU FP7 Integrated Project, we focus on the relationship between establishment and monitoring of such SLAs, showing how the two processes become tightly interleaved in order to provide meaningful mechanisms for SLA management. We first describe the process for SLA establishment adopted within the framework; then, we propose an architecture for monitoring established SLAs, which satisfies the two main requirements introduced by SLA establishment: the availability of historical data for evaluating SLA offers and the assessment of the capability to monitor the terms in a SLA offer.

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“…Data availability was expressed as ratio of files unavailable to files requested and the ratio of bytes unavailable to bytes requested. In [170] a framework for evaluating quality-of-service (QoS) provided by a grid system was described that introduced metrics for service accessibility and availability.…”

Section: Supporting Grid Infrastructure and Resource Managementmentioning

confidence: 99%

Reliability in grid computing systems

Dabrowski

2009

Concurrency and Computation

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cdabrowski@nist.gov SUMMARYIn recent years, grid technology has emerged as an important tool for solving computeintensive problems within the scientific community and in industry. To further the development and adoption of this technology, researchers and practitioners from different disciplines have collaborated to produce standard specifications for implementing largescale, interoperable grid systems. The focus of this activity has been the Open Grid Forum, but other standards development organizations have also produced specifications that are used in grid systems. To date, these specifications have provided the basis for a growing number of operational grid systems used in scientific and industrial applications. However, if the growth of grid technology is to continue, it will be important that grid systems also provide high reliability. In particular, it will be critical to ensure that grid systems are reliable as they continue to grow in scale, exhibit greater dynamism, and become more heterogeneous in composition. Ensuring grid system reliability in turn requires that the specifications used to build these systems fully support reliable grid services. This study surveys work on grid reliability that has been done in recent years and reviews progress made toward achieving these goals. The survey identifies important issues and problems that researchers are working to overcome in order to develop reliability methods for large-scale, heterogeneous, dynamic environments. The survey also illuminates reliability issues relating to standard specifications used in grid systems, identifying existing specifications that may need to be evolved and areas where new specifications are needed to better support reliability.

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On Quality of Service Support for Grid Computing

Cited by 8 publications

References 3 publications

Enhancing virtual environments with QoS aware resource management

Enhancing virtual environments with QoS aware resource management

Establishing and Monitoring SLAs in Complex Service Based Systems

Reliability in grid computing systems

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