Poster Papers
Wednesday, Oct 14
13:00 - 14:30 - Clouds 1
14:45 - 16:15 - Clouds 2, Grids 1
Thursday, Oct 15
10:30 - 12:00 - Grids 2
13:00 - 14:30 - Grids 3
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Session 2: Clouds 1
A Distributed Heuristic for Decentrlized Workflow Scheduling in Global Grids
Mustafizur Rahman, Rajiv Ranjan, and Rajkumar Buyya
Effcient scheduling is a key concern for the effectual execution of performance driven Grid applications, such as workflows. Many list heuristics have been developed for scheduling workflows in centralized Grid environment. However, in this paper, we present a distributed list heuristic for decentralized scheduling of workflow applications in global Grids. The simulation results show that the proposed scheduling approach is scalable with respect to increased workload on the system.
Session 3: Clouds 2
Extending Conventional Grid Scheduler for Leasing Resources
Thamarai Selvi Somasundaram, Kumar R., Balachandar R. Amarnath, Balakrishnan P., Rajendar K., Kannan G., Rajiv R., and Mahendran E.
In this paper, we extend conventional grid scheduler to implement resource leasing strategy for mediating resource leases on behalf of the users. The proposed mechanism allows the resource providers to advertise its willingness to provide the hardware resource as lease and also to express lease usage policies. Further, it is also proposed to extend standard job submission description language to express resource lease request.
Session 4: Grids 1
Integrating a Financial Option Based Model with GridSim for Pricing Grid Resources
David Allenotor, and Ruppa K. Thulasiram
Analysis of grid resources utilization from real grid trace data shows the feasibility of a financial option based model for pricing grid resources to attract more users for profitability for the grid provider while providing high Quality of Service (QoS) to users. However, in the absence of grid resource pricing benchmarks, we simulate grid resources usage in order to justify our pricing model using GridSim toolkit. In this work we integrate a financial option based pricing model with GridSim framework and use it as a grid simulation tool to price grid compute resources.
Session 5: Grids 2
Semantically Supported SLA Negotiation
Andras Micsik, Henar Munoz Frutos, Ioannis Kotsiopoulos, and Bastian Koller
The evolution of services market raises the need for automatic support for negotiating service use criteria. In order to reach an agreement, the negotiating parties need to develop a common understanding of the Quality of Service (QoS) terms which are part of the Service Level Agreement (SLA). The use of semantic annotations together with reasoning can increase the level of flexibility and automation in SLA management. A framework is presented for SLA negotiation allowing the two parties to use their own terminologies.
Session 6: Grids 3
Movement in Distributed Environment
Michal Zerola, Michal Sumbera, Jerome Lauret, and Roman Bartak. Efficient Multi-Site Data
In order to optimize all available resources (geographically spread) and minimize the processing time for experiments in High Energy and Nuclear Physics, it is necessary to face the question of efficient data transfers and placements in computer networks. In this paper we present the extension of our on-going work for automated planning of data transfers along with multi-source multi-destination criteria.
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Accepted papers:
1. Mustafizur Rahman, Rajiv Ranjan, and Rajkumar Buyya. A Distributed Heuristic for Decentrlized Workflow Scheduling in Global Grids.
2. Thamarai Selvi Somasundaram, Kumar R., Balachandar R. Amarnath, Balakrishnan P., Rajendar K., Kannan G., Rajiv R., and Mahendran E. Extending Conventional Grid Scheduler for Leasing Resources.
3. David Allenotor, and Ruppa K. Thulasiram. Integrating a Financial Option Based Model with GridSim for Pricing Grid Resources.
4. Andras Micsik, Henar Munoz Frutos, Ioannis Kotsiopoulos, and Bastian Koller. Semantically Supported SLA Negotiation.
5. Michal Zerola, Michal Sumbera, Jerome Lauret, and Roman Bartak. Efficient Multi-Site Data Movement in Distributed Environment.
