| 1. |
- Armstrong, Django, et al.
(författare)
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Towards a Contextualization Solution for Cloud Platform Services
- 2011
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Ingår i: 2011 IEEE Third International Conference on Cloud Computing Technology and Science. - : IEEE Computer Society. - 9781467300902 ; , s. 328-331
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Konferensbidrag (refereegranskat)abstract
- We propose a cloud contextualization mechanism which operates in two stages, contextualization of VM images prior to service deployment (PaaS level) and self-contextualization of VM instances created from the image (IaaS level). The contextualization tools are implemented as part of the OPTIMIS Toolkit, a set of software components for simplified management of cloud services and infrastructures. We present the architecture of our contextualization tools and the feasibility of our contextualization mechanism is demonstrated in a three-tier web application scenario. Preliminary performance results suggest acceptable performance and scalability.
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| 2. |
- Kolodner, Elliot K, et al.
(författare)
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A cloud environment for data-intensive storage services
- 2011
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Ingår i: IEEE third international conference on Cloud computing technology and science (CloudCom), 2011. - : IEEE conference proceedings. - 9781467300902 ; , s. 357-366
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Konferensbidrag (refereegranskat)abstract
- The emergence of cloud environments has made feasible the delivery of Internet-scale services by addressing a number of challenges such as live migration, fault tolerance and quality of service. However, current approaches do not tackle key issues related to cloud storage, which are of increasing importance given the enormous amount of data being produced in today's rich digital environment (e.g. by smart phones, social networks, sensors, user generated content). In this paper we present the architecture of a scalable and flexible cloud environment addressing the challenge of providing data-intensive storage cloud services through raising the abstraction level of storage, enabling data mobility across providers, allowing computational and content-centric access to storage and deploying new data-oriented mechanisms for QoS and security guarantees. We also demonstrate the added value and effectiveness of the proposed architecture through two real-life application scenarios from the healthcare and media domains.
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| 3. |
- Li, Wubin, 1983-, et al.
(författare)
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Modeling for Dynamic Cloud Scheduling via Migration of Virtual Machines
- 2011
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Ingår i: Cloud Computing Technology and Science (CloudCom). - : IEEE Computer Society. - 9781467300902 ; , s. 163-171
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Konferensbidrag (refereegranskat)abstract
- Cloud brokerage mechanisms are fundamental to reduce the complexity of using multiple cloud infrastructures to achieve optimal placement of virtual machines and avoid the potential vendor lock-in problems. However, current approaches are restricted to static scenarios, where changes in characteristics such as pricing schemes, virtual machine types, and service performance throughout the service life-cycle are ignored. In this paper, we investigate dynamic cloud scheduling use cases where these parameters are continuously changed, and propose a linear integer programming model for dynamic cloud scheduling. Our model can be applied in various scenarios through selections of corresponding objectives and constraints, and offers the flexibility to express different levels of migration overhead when restructuring an existing infrastructure. Finally, our approach is evaluated using commercial clouds parameters in selected simulations for the studied scenarios. Experimental results demonstrate that, with proper parametrizations, our approach is feasible.
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| 4. |
- Svärd, Petter, et al.
(författare)
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High Performance Live Migration through Dynamic Page Transfer Reordering and Compression
- 2011
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Ingår i: 2011 IEEE Third International Conference on Cloud Computing Technology and Science. - : IEEE Computer Society. - 9781467300902 ; , s. 542-548
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Konferensbidrag (refereegranskat)abstract
- Although supported by many contemporary Virtual Machine (VM) hyper visors, live migration is impossible for certain applications. When migrating CPU and/or memory intensive VMs two problems occur, extended migration downtime that may cause service interruption or even failure, and prolonged total migration time that is harmful for the overall system performance as significant network resources must be allocated to migration. These problems become more severe for migration over slower networks, such as long distance migration between clouds. We approach this two-fold problem through a combination of techniques. A novel algorithm that dynamically adapts the transfer order of VM memory pages during live migration reduces the risk of re-transfers for frequently dirtied pages. As the amount of transferred data is thereby reduced, the total migration time is shortened. By combining this technique with a compression scheme that increases the migration bandwidth the migration downtime is also reduced. An evaluation by means of synthetic migration benchmarks shows that our combined approach reduces migration downtime by a factor 10 to 20, shortens total migration time by around 35%, as well as consumes between 26% and 39% less network bandwidth. The feasibility of our approach for real-life applications is demonstrated by migrating a streaming video server 31% faster while transferring 51% less data.
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