Embed Size (px)
DESCRIPTION
Cloud2Sim - An Elastic Middleware Platform for Concurrent and Distributed Cloud and MapReduce Simulations. This is a presentation that partially describes the work-in-progress CloudSim, as presented at MASCOTS 2014 in Paris.
Citation preview
Powerpoint Templates 1Powerpoint Templates
Concurrent and DistributedConcurrent and DistributedCloudSimCloudSim Simulations Simulations
Pradeeban KathiraveluLuis VeigaINESC-ID Instituto Superior Técnico, Universidade de Lisboa
IEEE 22nd International Symposium on Modeling Analysis and Simulation of Computer and Telecommunication Systems –
MASCOTS 2014. Sep 9th – 11th, 2014.
Powerpoint Templates 2
Introduction
• Researches are empowered by Simulations.
• Cloud Simulators are mostly sequential and executed from a single computer.–CloudSim (Calheiros et al. 2009; Buyya et al. 2009; Calheiros et al. 2011)
– SimGrid (Casanova 2001; Legrand et al. 2003; Casanova et al. 2008)
–GreenCloud (Kliazovich et al. 2012)
Powerpoint Templates 3
Motivation
• More and more, larger, complex simulations.
• Clusters in research labs can be leveraged for simulations in a cycle sharing fashion.
• Distributed Execution Frameworks.
Powerpoint Templates 4
Motivation
• More and more, larger, complex simulations.
• Clusters in research labs can be leveraged for simulations in a cycle sharing fashion.
• Distributed Execution Frameworks.
• What if..?
Powerpoint Templates 5
Cloud2Sim
• A concurrent and distributed cloud simulator.
• Extending CloudSim Cloud Simulator –Leveraging in-memory data grids.•Hazelcast• Infinispan• ...
Powerpoint Templates 7
Design and Deployment
• Distributed Storage, Execution, and Data Locality
Powerpoint Templates 10
Implementation Details
• CloudSim trunk forked• Hazelcast v. 3.2 and Infinispan v.
6.0.2.• Dependencies on Hazelcast and
Infinispan are abstracted away.
Powerpoint Templates 11
Evaluations
• A cluster with 6 identical nodes– Intel® Core™ i7-2600K CPU @ 3.40GHz and 12 GB memory.
• Varying number of parameters such as cloudlets (from 100 - 400) and VMs (from 100 – 200), on 1 to 6 nodes.
Powerpoint Templates 12
Simulation 1. CloudSim and Cloud2Sim
• Round robin application (cloudlet) scheduling with 200 VMs and 400 cloudlets.
Execution Time
Powerpoint Templates 13
Simulation 2. Fair matchmaking-based cloudlet scheduling with varying number of cloudlets
Execution Time
Powerpoint Templates 15
Cloud2Sim Features
• Scalable and Fault-Tolerant.• Uniformly distributed Storage and
Execution.• Multi-tenanted Deployments.• Elasticity based on Adaptive Scaling.• Cycle-sharing across the cluster.• Deployable over cloud environments.
Powerpoint Templates 16
Conclusion and Future Work
• Conclusion–Cloud2Sim leverages the
distributed execution and storage provided by in-memory data grids.•While exploiting CloudSim as the core Simulation module.
Powerpoint Templates 17
Conclusion and Future Work• Conclusion–Cloud2Sim leverages the
distributed execution and storage provided by in-memory data grids.•While exploiting CloudSim as the core Simulation module.
• Future Work– Infinispan/Hibernate Search based
CloudSim Simulations and Application Scheduling.– Lighter objects.
Powerpoint Templates 18
Conclusion and Future Work• Conclusion– Cloud2Sim leverages the distributed
execution and storage provided by in-memory data grids.• While exploiting CloudSim as the core
Simulation module.• Future Work– Infinispan/Hibernate Search based
CloudSim Simulations and Application Scheduling.
– Lighter objects.
–Thank you!
Powerpoint Templates 19
References
Buyya, R., R. Ranjan, & R. N. Calheiros (2009). Modeling and simulation of scalable cloud computing environments and the cloudsim toolkit: Challenges and opportunities. In High Performance Computing & Simulation, 2009. HPCS’09. International Conference on, pp. 1–11. IEEE.
Calheiros, R. N., R. Ranjan, C. A. De Rose, & R. Buyya (2009). Cloudsim: A novel framework for modeling and simulation of cloud computing infrastructures and services. arXiv preprint arXiv:0903.2525
Calheiros, R. N., R. Ranjan, A. Beloglazov, C. A. De Rose, & R. Buyya (2011). Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software: Practice and Experience 41 (1), 23–50.
Casanova, H. (2001). Simgrid: A toolkit for the simulation of application scheduling. In Cluster Computing and the Grid, 2001. Proceedings. First IEEE/ACM International Symposium on, pp. 430–437. IEEE.
Casanova, H., A. Legrand, & M. Quinson (2008). Simgrid: A generic framework for large-scale distributed experiments. In Computer Modeling and Simulation, 2008. UKSIM 2008. Tenth International Conference on, pp. 126–131. IEEE.
Kliazovich, D., P. Bouvry, & S. U. Khan (2012). Greencloud: a packet-level simulator of energy-aware cloud computing data centers. The Journal of Supercomputing 62 (3), 1263–1283.
Legrand, A., L. Marchal, & H. Casanova (2003). Scheduling distributed applications: the simgrid simulation framework. In Cluster Computing and the Grid, 2003. Proceedings. CCGrid 2003. 3rd IEEE/ACM International Symposium on, pp. 138–145. IEEE.
![Concurrent atomistic-continuum simulations of uniaxial ...€¦ · atomic trajectory inside the materials in experiments, numerical simulations via atomistic methods [11,12] and discrete](https://img.pdfslide.net/doc/110x75/5fb2485e21a30672d07b36b4/concurrent-atomistic-continuum-simulations-of-uniaxial-atomic-trajectory-inside.jpg)
