CARE Resource Broker: A framework for scheduling and supporting virtual resource management

Somasundaram, Thamarai Selvi; Amarnath, Balachandar R.; Kumar, Raj; Balakrishnan, P.; Rajendar, K.; Rajiv, R.; Kannan, G.; Britto, G.R.; Mahendran, E.; Madusudhanan, B.

doi:10.1016/j.future.2009.10.005

Cited by 36 publications

(20 citation statements)

References 14 publications

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“…By modifying parallel applications to become self-scheduling at the user level, adaptive workload balancing can be used to improve performance without the introduction of system-level virtualization [31]. Conversely, the CARE Resource Broker enables unmodified applications to be scheduled in dynamically allocated virtual machine containers through a custom scheduling interface that is resource-aware [32].…”

Section: Related Workmentioning

confidence: 99%

Virtual Organization Clusters: Self-provisioned clouds on the grid

Murphy

Goasguen

2010

Future Generation Computer Systems

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a b s t r a c tVirtual Organization Clusters (VOCs) are a novel mechanism for overlaying dedicated private cluster systems on existing grid infrastructures. VOCs provide customized, homogeneous execution environments on a per-Virtual Organization basis, without the cost of physical cluster construction or the overhead of per-job containers. Administrative access and overlay network capabilities are granted to Virtual Organizations (VOs) that choose to implement VOC technology, while the system remains completely transparent to end users and non-participating VOs. Unlike existing systems that require explicit leases, VOCs are autonomically self-provisioned and self-managed according to configurable usage policies.The work presented here contains two parts: a technology-agnostic formal model that describes the properties of VOCs and a prototype implementation of a physical cluster with hosted VOCs, based on the Kernel-based Virtual Machine (KVM) hypervisor. Test results demonstrate the feasibility of VOCs for use with high-throughput grid computing jobs. With the addition of a ''watchdog'' daemon for monitoring scheduler queues and adjusting VOC size, the results also demonstrate that cloud computing environments can be autonomically self-provisioned in response to changing workload conditions.

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Section: Related Workmentioning

confidence: 99%

Virtual Organization Clusters: Self-provisioned clouds on the grid

Murphy

Goasguen

2010

Future Generation Computer Systems

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“…In mentioned work after mapping all tasks with high Qos requirements, the tasks with low QoS group are mapped (Chauhan & Joshi, 2010a). Selvi Somasundaram et al (2010) proposed a metascheduling structure that called CARE Resource Broker (CRB). For resource management they are proposed Virtual Resource Management Protocol (VRMP).…”

Section: A Brief History Of the Resource Management In Gridmentioning

confidence: 99%

“…For resource management they are proposed Virtual Resource Management Protocol (VRMP). In this method scheduler is responsible for choose a suitable resource between available matching resources, and Virtual resource manager is responsible for formation of virtual cluster and virtual machine (Somasundaram et al, 2010). Darby III & Tzeng (2010) proposed a Checkpointing arrangement in Mobile Grid Computing that provide QoS through Mobile hosts.…”

Section: A Brief History Of the Resource Management In Gridmentioning

confidence: 99%

Grid-JQA: A QoS Guided Scheduling Algorithm for Grid Computing

Mohammad¹,

Kargar²

2011

Advances in Grid Computing

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“…We believe that the virtualization [3] technology achieves the isolation of jobs from underlying physical resources as in high level grids. In this paper, we proposed an architecture that dynamically provisions the virtual machines for executing the applications based on Service Level Agreements (SLA) [4] and integrating it with our CARE Resource Broker (CRB) [5] as a value addition component.…”

Section: Introductionmentioning

confidence: 99%

“…which are future aspects at that time): It does not have the policy management system to express and enforce the usage policies, which is a mandatory requirement for resource providers to express their desired usage scenario. Also, the time complexity of the existing resource scheduling algorithm is greater, since it checks the three scheduling use cases [5] in a round robin fashion. In addition, it does not have an image repository to store the preconfigured VM images.…”

Section: Introductionmentioning

confidence: 99%