Towards a ubiquitous cloud computing infrastructure

Merwe, Jacobus Van der; Ramakrishnan, K. K.; Fairchild, Michael; Flavel, Ashley; Houle, Joe; Lagar-Cavilla, H. Andrés; Mulligan, John

doi:10.1109/lanman.2010.5507151

Cited by 22 publications

(11 citation statements)

References 4 publications

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“…define a Cloud Control Architecture for a ubiquitous cloud computing infrastructure [16]where orchestration is realized as a separate layer and interconnects the Service Abstraction (presents service logic to the users) and Intelligence (gathers information about the cloud infrastructure) and derives abstract knowledge. The Orchestration layer collects both the requests from Service Abstraction and actual data from Intelligence and makes decision about initial placements, resource allocation, resource adjustment and movement of resources.…”

Section: Related Workmentioning

confidence: 99%

Infrastructure Aware Scientific Workflows and Infrastructure Aware Workflow Managers in Science Gateways

et al. 2016

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Abstract-The workflow interoperability problem was successfully solved by the SHIWA project if the workflows to be integrated were running in the same grid infrastructure. However, in the more generic case when the workflows were running in different infrastructures the problem has not been solved yet. In the current paper we show a solution for this problem by introducing a new type of workflow called infrastructure-aware workflow. These are scientific workflows extended with new node types that enable the on-the-fly creation and destruction of the required infrastructures in the clouds. The paper shows the semantics of these new types of nodes and workflows and also how they can solve the workflow interoperability problem. The paper also describes how these new type of workflows can be implemented by a new service called Occopus, and how this service can be integrated with the existing SHIWA Simulation Platform services like the WS-PGRADE/gUSE portal to provide the required functionalities of solving the workflow interoperability problem.

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Section: Related Workmentioning

confidence: 99%

Infrastructure Aware Scientific Workflows and Infrastructure Aware Workflow Managers in Science Gateways

et al. 2016

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“…define a Cloud Control Architecture for a ubiquitous cloud computing infrastructure [6]. The Cloud Control Architecture follows a layered design where orchestration is realized as a separate layer and interconnects the Service Abstraction (presents service logic to the users) and Intelligence (gathers information about the cloud infrastructure) and derives abstract knowledge.…”

Section: Related Workmentioning

confidence: 99%

One Click Cloud Orchestrator: Bringing Complex Applications Effortlessly to the Clouds

Kecskeméti

Gergely

Visegrádi

et al. 2014

Lecture Notes in Computer Science

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Abstract. Infrastructure cloud systems offer basic functionalities only for managing complex virtual infrastructures. These functionalities demand low-level understanding of applications and their infrastructural needs. Recent research has identified several techniques aimed at enabling the semi-automated management and use of those applications that span across multiple virtual machines. Even with these efforts however, a truly flexible and end-user oriented approach is missing. This paper presents the One Click Cloud Orchestrator that not only allows higher level of automation than it was possible before, but it also allows end-users to focus on their problems instead of the complex cloud infrastructures needed for them. To accomplish these goals the paper reveals the novel building blocks of our new orchestrator from the components closely related to infrastructure cloud to the ways virtual infrastructures are modeled. Finally, we show our initial evaluation and study on how the orchestrator fulfills the high level requirements of end-users.

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“…Our second motivating example is based on the Followthe-Sun [22] scenario, which aims to migrate VMs across geographical distributed data centers based on customer dynamics. Here, the geographic location of the primary workload (i.e., majority of customers using the cloud service) derives demand shifts during the course of a day, and it is beneficial for these workload drivers to be in close proximity to the resources they operate on.…”

Section: Follow-the-sunmentioning

confidence: 99%

“…We argue that cloud orchestration is highly complex. First, as many recent proposals [22,25,4,24,5] have articulated, cloud management is inherently complicated due to the scale, heterogeneity, infrastructure, and concurrent user services that share a common set of physical resources. Second, configurations of various resource types interact with each other.…”

Section: Introductionmentioning

confidence: 99%

Declarative automated cloud resource orchestration

Liu

Loo

Mao

2011

Proceedings of the 2nd ACM Symposium on Cloud Computing

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As cloud computing becomes widely deployed, one of the challenges faced involves the ability to orchestrate a highly complex set of subsystems (compute, storage, network resources) that span large geographic areas serving diverse clients. To ease this process, we present COPE (Cloud Orchestration Policy Engine), a distributed platform that allows cloud providers to perform declarative automated cloud resource orchestration. In COPE, cloud providers specify system-wide constraints and goals using COPElog, a declarative policy language geared towards specifying distributed constraint optimizations. COPE takes policy specifications and cloud system states as input and then optimizes compute, storage and network resource allocations within the cloud such that provider operational objectives and customer SLAs can be better met. We describe our proposed integration with a cloud orchestration platform, and present initial evaluation results that demonstrate the viability of COPE using production traces from a large hosting company in the US. We further discuss an orchestration scenario that involves geographically distributed data centers, and conclude with an ongoing status of our work. Disciplines Computer SciencesComments Liu, C., Loo, B., & Mao, Y., Declarative Automated Cloud Resource Orchestration, ACM Symposium on Cloud Computing, Oct. 2011 © 1994, 1995, 1998, 2002 by ACM, Inc. Permission to copy and distribute this document is hereby granted provided that this notice is retained on all copies, that copies are not altered, and that ACM is credited when the material is used to form other copyright policies. ABSTRACTAs cloud computing becomes widely deployed, one of the challenges faced involves the ability to orchestrate a highly complex set of subsystems (compute, storage, network resources) that span large geographic areas serving diverse clients. To ease this process, we present COPE (Cloud Orchestration Policy Engine), a distributed platform that allows cloud providers to perform declarative automated cloud resource orchestration. In COPE, cloud providers specify system-wide constraints and goals using COPElog, a declarative policy language geared towards specifying distributed constraint optimizations. COPE takes policy specifications and cloud system states as input and then optimizes compute, storage and network resource allocations within the cloud such that provider operational objectives and customer SLAs can be better met. We describe our proposed integration with a cloud orchestration platform, and present initial evaluation results that demonstrate the viability of COPE using production traces from a large hosting company in the US. We further discuss an orchestration scenario that involves geographically distributed data centers, and conclude with an ongoing status of our work.

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Towards a ubiquitous cloud computing infrastructure

Cited by 22 publications

References 4 publications

Infrastructure Aware Scientific Workflows and Infrastructure Aware Workflow Managers in Science Gateways

Infrastructure Aware Scientific Workflows and Infrastructure Aware Workflow Managers in Science Gateways

One Click Cloud Orchestrator: Bringing Complex Applications Effortlessly to the Clouds

Declarative automated cloud resource orchestration

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