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HPC-Aware VM Placement in Infrastructure Clouds Abhishek

by Laxmikant V. Kalé, Dejan Milojicic, Paolo Faraboschi, Susanne M. Balle
"... Abstract—Cloud offerings are increasingly serving workloads with a large variability in terms of compute, storage and networking resources. Computing requirements (all the way to High Performance Computing or HPC), criticality, communication intensity, memory requirements, and scale can vary widely. ..."
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single pool. We design and implement an HPC-aware scheduler on top of OpenStack Compute (Nova) and also incorporate it in a simulator (CloudSim). Through various optimizations, specifically topology- and hardware-awareness, cross-VM interference accounting and application-aware consolidation, we

Exploiting Classes of Virtual Machines for Scalable IaaS Cloud Management

by Claudia Canali, Riccardo Lancellotti
"... Abstract—A major challenge of IaaS cloud data centers is the placement of a huge number of Virtual Machines (VMs) over a physical infrastructure with a high number of nodes. The VMs placement process must strive to reduce as much as possible the number of physical nodes to improve management efficie ..."
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Abstract—A major challenge of IaaS cloud data centers is the placement of a huge number of Virtual Machines (VMs) over a physical infrastructure with a high number of nodes. The VMs placement process must strive to reduce as much as possible the number of physical nodes to improve management

SLA-aware resource over-commit in an IaaS cloud

by David Breitgand , Zvi Dubitzky , Amir Epstein , Alex Glikson , Inbar Shapira - in Conference on Network and Service Management (CNSM), 2012
"... Abstract-Cloud paradigm facilitates cost-efficient elastic computing allowing scaling workloads on demand. As cloud size increases, the probability that all workloads simultaneously scale up to their maximum demand, diminishes. This observation allows multiplexing cloud resources among multiple wor ..."
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notions of effective size of a single VM and effective bandwidth of stand-alone and multiplexed network connections. We propose an algorithmic framework that uses cloud effective demand to estimate the total physical capacity required for SLA compliance under over-commit. We evaluate our proposed

Application Aware Placement and Scheduling for Multi-tenant Clouds

by Lalith Suresh, Marco Canini
"... In an Infrastructure-as-a-Service (IaaS) environment, it is paramount to perform intelligent allocation of shared resources. Placement is the problem of choos-ing which virtual machine (VM) should run on which physical machine (PM), whereas Scheduling is the problem of sharing resources between mult ..."
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In an Infrastructure-as-a-Service (IaaS) environment, it is paramount to perform intelligent allocation of shared resources. Placement is the problem of choos-ing which virtual machine (VM) should run on which physical machine (PM), whereas Scheduling is the problem of sharing resources between

A QoS and Profit Aware Cloud Confederation Model for IaaS Service

by Amit Kumar Das, Tamal Adhikary, Md. Abdur Razzaque, Eung Jun Cho, Choong Seon Hong
"... Cloud confederation is the union of cloud data centers that allows outsourcing user requests by a cloud provider dur-ing peak hours to liberate it from the constraint of limited physical resources. Federation extends some of the features of cloud like low cost, scalability, robustness and availabili ..."
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of establishing cloud federation and taking cost efficient de-cisions based on QoS parameters has not yet been provided in recent works. In this paper, we have designed a data communication model for the members of a cloud confeder-ation, which exploits clear understanding of the usage pat-tern, types of requests

More for Your Money: Exploiting Performance Heterogeneity in Public Clouds

by Benjamin Farley, Ari Juels, Thomas Ristenpart, Kevin D. Bowers, Michael M. Swift
"... Infrastructure-as-a-system compute clouds such as Amazon’s EC2 allow users to pay a flat hourly rate to run their virtual machine (VM) on a server providing some combination of CPU access, storage, and network. But not all VM instances are created equal: distinct underlying hardware differences, con ..."
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Infrastructure-as-a-system compute clouds such as Amazon’s EC2 allow users to pay a flat hourly rate to run their virtual machine (VM) on a server providing some combination of CPU access, storage, and network. But not all VM instances are created equal: distinct underlying hardware differences

Author manuscript, published in "5th IEEE International Conference on Cloud Computing (CLOUD) (2012)" Energy Management in IaaS Clouds: A Holistic Approach

by Eugen Feller, Cyril Rohr, David Margery, Christine Morin, Inria Centre, Rennes Bretagne Atlantique , 2012
"... Abstract—Energy efficiency has now become one of the major design constraints for current and future cloud data center operators. One way to conserve energy is to transition idle servers into a lower power-state (e.g. suspend). Therefore, virtual machine (VM) placement and dynamic VM scheduling algo ..."
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Abstract—Energy efficiency has now become one of the major design constraints for current and future cloud data center operators. One way to conserve energy is to transition idle servers into a lower power-state (e.g. suspend). Therefore, virtual machine (VM) placement and dynamic VM scheduling

A Class-based Virtual Machine Placement Technique for a Greener Cloud

by Claudia Canali, Riccardo Lancellotti
"... Abstract: The management of IaaS cloud systems is a challenging task, where a huge number of Virtual Machines (VMs) must be placed over a physical infrastructure with multiple nodes. Economical reasons and the need to reduce the ever-growing carbon footprint of modern data centers require an efficie ..."
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. Our experiments demonstrate that the proposed technique is a viable solution that can significantly improve the scalability of the VMs placement in IaaS Cloud systems with respect to existing alternatives. 1

CAM: A Topology Aware Minimum Cost Flow Based Resource Manager for MapReduce Applications in the Cloud

by Min Li, Dinesh Subhraveti, Ali R. Butt, R Khasymski, Prasenjit Sarkar
"... MapReduce has emerged as a prevailing distributed computation paradigm for enterprise and large-scale data-intensive computing. Themodelisalsoincreasinglyusedinthemassively-parallelcloud environment,whereMapReducejobsarerunonasetofvirtualmachines (VMs) on pay-as-needed basis. However, MapReduce jobs ..."
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actual network information. This results in two placement anomalies: loss of data locality and loss of job locality, where jobs are placed physically away from their data or other associated jobs, adversely affecting their performance. In this paper we propose, CAM, a cloud platform that provides

Starling: . . . Virtualized Computing Platforms Using Decentralized Affinity-Aware Migration

by Jason Sonnek, James Greensky, Robert Reutiman, Abhishek Chandra , 2009
"... Virtualization is being widely used in large-scale computing environments, such as clouds, data centers, and grids, to provide application portability and facilitate resource multiplexing while retaining application isolation. In many existing virtualized platforms, it has been found that the netwo ..."
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that the network bandwidth often becomes the bottleneck resource due to the hierarchical topology of the underlying network, causing both high network contention and reduced performance for communication and data-intensive applications. In this paper, we present a decentralized affinity-aware migration technique
Results 1 - 10 of 18