| 1. |
- Li, Wubin, 1983-, et al.
(författare)
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A General Approach to Service Deployment in Cloud Environments
- 2012
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Ingår i: Cloud and Green Computing (CGC 2012). - : IEEE Computer Society. - 9780769548647 - 9781467330275 ; , s. 17-24
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Konferensbidrag (refereegranskat)abstract
- The cloud computing landscape has recently developed into a spectrum of cloud architectures, leading to a broad range of management tools for similar operations but specialized for certain deployment scenarios. This both hinders the efficient reuse of algorithmic innovations within cloud management operations and increases the heterogeneity between different management systems. Our overarching goal is to overcome these problems by developing tools general enough to support the full range of popular architectures. In this contribution, we analyze commonalities in recently proposed cloud models (private clouds, multi-clouds, bursted clouds, federated clouds, etc.), and demonstrate how a key management functionality - service deployment - can be uniformly performed in all of these by a carefully designed system. The design of our service deployment framework is validated through a demonstration of how it can be used to deploy services, perform bursting and brokering, as well as mediate a cloud federation in the context of the OPTIMIS Toolkit.
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| 2. |
- Li, Wubin, 1983-, et al.
(författare)
-
Virtual machine placement for predictable and time-constrained peak loads
- 2012
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Ingår i: Economics of Grids, Clouds, Systems, and Services. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 3642286747 - 9783642286742 - 9783642286759 ; , s. 120-134
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Konferensbidrag (refereegranskat)abstract
- We present an approach to optimal virtual machine placement within datacenters for predicable and time-constrained load peaks. A method for optimal load balancing is developed, based on binary integer programming. For tradeoffs between quality of solution and computation time, we also introduce methods to pre-process the optimization problem before solving it. Upper bound based optimizations are used to reduce the time required to compute a final solution, enabling larger problems to be solved. For further scalability, we also present three approximation algorithms, based on heuristics and/or greedy formulations. The proposed algorithms are evaluated through simulations based on synthetic data sets. The evaluation suggests that our algorithms are feasible, and that these can be combined to achieve desired tradeoffs between quality of solution and execution time.
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| 3. |
- Li, Wubin, 1983-
(författare)
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Virtual Machine Placement in Cloud Environments
- 2012
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- With the emergence of cloud computing, computing resources (i.e., networks, servers, storage, applications, and services) are provisioned as metered on-demand services over networks, and can be rapidly allocated and released with minimal management effort. In the cloud computing paradigm, the virtual machine is one of the most commonly used resource carriers in which business services are encapsulated. Virtual machine placement optimization, i.e., finding optimal placement schemes for virtual machines, and reconfigurations according to the changes of environments, become challenging issues.The primary contribution of this licentiate thesis is the development and evaluation of our combinatorial optimization approaches to virtual machine placement in cloud environments. We present modeling for dynamic cloud scheduling via migration of virtual machines in multi-cloud environments, and virtual machine placement for predictable and time-constrained peak loads in single-cloud environments. The studied problems are encoded in a mathematical modeling language and solved using a linear programming solver. In addition to scientific publications, this work also contributes in the form of software tools (in EU-funded project OPTIMIS) that demonstrate the feasibility and characteristics of the approaches presented.
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