Email this article Efficient data traverse paths for both I/O and computation intensive workloads
Abstract
Virtualization has accomplished standard status in big business IT industry. Regardless of its across the board reception, it is realized that virtualization likewise presents non-minor overhead when executing errands on a virtual machine (VM). Specifically, a consolidated impact from gadget virtualization overhead and CPU planning idleness can cause execution debasement when computation concentrated undertakings and I/O escalated errands are co-situated on a VM. Such impedance causes additional vitality utilization, too. Right now, present Hylics, a novel network ment that empowers proficient data  navigate ways for both I/O and computation escalated remaining tasks at hand. This is accomplished with the network ment of in-memory document framework and system administration at the hypervisor level. A few significant structure issues are pinpointed and tended to during our model execution, including proficient transitional data sharing, network administration offloading, and QoS-mindful memory use the executives. In light of our genuine sending on KVM, Hylics can fundamentally improve computation and I/O execution for hybrid workloads.
References
A. J. Younge, R. Henschel, J. T. Brown et al., “Analysis of Virtualization Technologies for High Performance Computing Environments,†in Proc. of IEEE CLOUD, 2011.
R. Shea, F. Wang, H. Wang, and J. Liu, “A Deep Investigation into Network Performance in Virtual Machine based Cloud Environments,†in Proc. of IEEE INFOCOM, 2014.
R. Nathuji, A. Kansal, and A. Ghaffarkhah, “Q-clouds: Managing Performance Interference Effects for QoS-aware Clouds,†in Proc. of ACM EuroSys, 2010.
X. Chen, L. Rupprecht, R. Osman et al., “CloudScope: Diagnosing and Managing Performance Interference in Multi-Tenant Clouds,†in Proc. of IEEE MASCOTS, 2015.
A. K. Maji, S. Mitra, B. Zhou, S. Bagchi, and A. Verma, “Mitigating Interference in Cloud Services by Middleware Reconfiguration,†in Proc. of ACM Middleware, 2014.
A. K. Maji, S. Mitra, and S. Bagchi, “Ice: An Integrated Configuration Engine for Interference Mitigation in Cloud Services,†in Proc. of IEEE ICAC, 2015.
A. Gordon, N. Amit, N. Har’El et al., “ELI: Bare-metal Performance for I/O Virtualization,†ACM SIGPLAN Notices, vol. 47, no. 4, pp. 411–422, 2012.
N. Har’El, A. Gordon, A. Landau et al., “Efficient and Scalable Paravirtual I/O System,†in Proc. of USENIX ATC, 2013.
J. Hwang, K. Ramakrishnan, and T. Wood, “NetVM: High Performance and Flexible Networking using Virtualization on Commodity Platforms,†IEEE Transactions on Network and Service Management, vol. 12, no. 1, pp. 34–47, 2015.
S. Gamage, D. X. R. Kompella and, and A. Kangarlou, “Protocol Responsibility Offloading to Improve TCP Throughput in Virtualized Environments,†ACM Transactions on Computer Systems (TOCS), vol. 31, pp. 1–34, 2013.
S. Gamage, C. Xu, R. R. Kompella, and D. Xu, “vPipe: Piped I/O Offloading for Efficient Data Movement in Virtualized Clouds,†in Proc. of ACM SoCC, 2014.
C. Xu, B. Saltaformaggio, S. Gamage, R. R. Kompella, and D. Xu, “vRead: Efficient Data Access for Hadoop in Virtualized Clouds,†in Proc. of ACM Middleware, 2015.
A. Gordon, M. Ben-Yehuda, D. Filimonov, and M. Dahan, “VAMOS: Virtualization Aware Middleware,†in Proc. of USENIX WIOV, 2011. [14] C. Xu, S. Gamage, H. Lu et al., “vTurbo: Accelerating Virtual Machine I/O Processing Using Designated Turbo-Sliced Core,†in Proc. of USENIX ATC, 2013.
C. Xu, X. Ma, R. Shea, H. Wang, and J. Liu, “MemNet: Enhancing Throughput and Energy Efficiency for Hybrid Workloads via Paravirtualized Memory Sharing,†in Proc. of IEEE CLOUD, 2016.
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