Automated Modeling of I/O Performance and Interference Effects in Virtualized Storage Systems

Abstract-Modern IT systems frequently employ virtualization technology to maximize resource efficiency. By sharing physical resources, however, the virtualized storage used in such environments can quickly become a bottleneck. Performance modeling and evaluation techniques applied prior to system deployment help to avoid performance issues. In current practice, however, modeling I/O performance is usually avoided due to the increasing complexity of modern virtualized storage systems. In this paper, we present an automated modeling approach based on statistical regression techniques to analyze I/O performance and interference effects in the context of virtualized storage systems. We demonstrate our approach in three case studies creating performance models with two I/O benchmarks. The case studies are conducted in a real-world environment based on IBM System z and IBM DS8700 server hardware. Using our approach, we effectively create performance models with excellent prediction accuracy for both I/O-intensive applications and I/O performance interference effects with a mean prediction error up to 7%

Automated Modeling of I/O Performance and Interference Effects in Virtualized Storage Systems

Abstract-Modern IT systems frequently employ virtualization technology to maximize resource efficiency. By sharing physical resources, however, the virtualized storage used in such environments can quickly become a bottleneck. Performance modeling and evaluation techniques applied prior to system deployment help to avoid performance issues. In current practice, however, modeling I/O performance is usually avoided due to the increasing complexity of modern virtualized storage systems. In this paper, we present an automated modeling approach based on statistical regression techniques to analyze I/O performance and interference effects in the context of virtualized storage systems. We demonstrate our approach in three case studies creating performance models with two I/O benchmarks. The case studies are conducted in a real-world environment based on IBM System z and IBM DS8700 server hardware. Using our approach, we effectively create performance models with excellent prediction accuracy for both I/O-intensive applications and I/O performance interference effects with a mean prediction error up to 7%

Mousing Around with Bacteriophages: ​Using Antibodies Raised in BALB/c Mice to Analyze Phages​

Bacteriophages are viruses that infect bacteria and can be used in phage therapy to combat bacterial infections resistant to traditional antibiotics. One current limitation of phage therapy is the lack of understanding about phage genetics and biochemistry. We can learn more about bacteriophages by identifying patterns in their protein structure. In our experiments, we immunized BALB/c mice using whole phage or ~71\u3ekDa proteins extracted from Sbash and Island3. We tail-bled the mice to collect antibodies raised against these phages, then used ELISA assays to detect anti-phage protein antibodies in mouse serum. We are using our antibodies and Western blot analysis to understand biochemical relationships between Island3, Sbash, and several other bacteriophages that infect Mycobacterium smegmatis

Self-contained capsubot propulsion mechanism

In this paper, a self contained capsubot (capsule robot) propulsion mechanism is investigated. The proposed capsubot works on the principle of internal force-static friction. A modified linear DC motor is used to drive the capsubot. A novel acceleration profile is proposed for the moving part (linear cylinder) based on the principle. A significant feature of the proposed capsubot is that it is legless, wheelless, and trackless. The developed capsubot with a proposed propulsion mechanism demonstrates a very good average velocity. The propulsion mechanism has the potential to be used for the propulsion of a wireless-controlled self-propelling capsule endoscope. Simulation and experimental results demonstrate the performance of the self-contained capsubot with the proposed acceleration profile

Café Shapiro Anthology, Selected Poems and Short Stories from the 22nd Annual Café Shapiro

https://deepblue.lib.umich.edu/bitstream/2027.42/149461/1/CafeShapiro2019.pd