of the 2nd ACM/SPEC International Conference on Performance Engineering (ICPE), pp. Stefanek, A., Hayden, R.A., Bradley, J.T.: Fluid Analysis of Energy Consumption using Rewards in Massively Parallel Markov Models. In: Klingert, S., Chinnici, M., Rey Porto, M. Postema, B.F., Haverkort, B.R.: Stochastic Petri Net Models for the Analysis of Trade-Offs in Data Centres with Power Management. Law, A.M.: Simulation Modeling and Analysis, 5th edn. Symposium IFIP/IEEE on Integrated Network Management, pp. Kuhn, P.J., Mashaly, M.: Performance of Self-Adapting Power-Saving Algorithms for ICT Systems. of the 6th ACM/SPEC International Conference on Performance Engineering, pp. Von Kistowski, J., Block, H., Beckett, J., Lange, K.D., Arnold, J.A., Kounev, S.: Analysis of the Influences on Server Power Consumption and Energy Efficiency for CPU-Intensive Workloads. Technical report, RWTH Aachen University (2013) Katoen, J.P., Noll, T., Santen, T., Seifert, D., Wu, H.: Performance Analysis of Computing Servers using Stochastic Petri Nets and Markov Automata. IEEE Computer Society Washington, DC (2011). on Dependable Systems and Networks Workshops, pp. Please, under no circumstance, place any logic that modifies values, or applies non-sorting business logic in these functions as they will not always be. Ghosh, R., Naik, V.K., Trivedi, K.S.: Power-Performance Trade-offs in IaaS Cloud: A Scalable Analytic Approach. on Measurement and Modeling of Computer Systems, vol. Gandhi, A., Doroudi, S., Harchol-Balter, M., Scheller-Wolf, A.: Exact Analysis of the M/M/k/setup Class of Markov Chains via Recursive Renewal Reward. Phd thesis, Carnegie Mellon University (2013). Gandhi, A.: Dynamic Server Provisioning for Data Center Power Management. White Paper of Emerson Electric Co (2009) Įmerson Network Power: Energy Logic: Reducing Data Center Energy Consumption by Creating Savings that Cascade Across Systems. Software: Practice and Experience 41(1), 23–50 (2011)ĭatacenter Dynamics Intelligence: Global Data Center Power 2013. IEEE Computer Society Washington, DC (2013)Ĭalheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, C.A.F., Buyya, R.: CloudSim: A Toolkit for Modeling and Simulation of Cloud Computing Environments and Evaluation of Resource Provisioning Algorithms. īruneo, D., Lhoas, A., Longo, F., Puliafito, A.: Analytical Evaluation of Resource Allocation Policies in Green IaaS Clouds.
īirke, R., Chen, L.Y., Smirni, E.: Data Centers in the Wild: A Large Performance Study. Synthesis Lectures on Computer Architecture 8(3), 1–154 (2009). Cisco Press, Indianapolis (2003)īarroso, L.A., Hölzle, U.: The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines. Īrregoces, M., Portolani, M.: Data Center Fundamentals.
Anylogic models software#
AnyLogic: AnyLogic: Multimethod Simulation Software (2000).
0 kommentar(er)
