scholarly journals Addressing Issues of Cloud Resilience, Security and Performance through Simple Detection of Co-locating Sibling Virtual Machine Instances

2015 ◽  
Author(s):  
John O'Loughlin ◽  
Lee Gillam
Keyword(s):  
Virtual Machine ◽  
Simple Detection ◽  
And Performance

Compensation and Convergence — Comparing and Combining Deployment Automation Approaches

2015 ◽  
Vol 24 (03) ◽  
pp. 1541001 ◽  
Author(s):  
Johannes Wettinger ◽  
Uwe Breitenbücher ◽  
Frank Leymann
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Configuration Management ◽  
Fine Grained ◽  
Design Time ◽  
Major Class ◽  
Continuous Delivery ◽  
And Performance

Leading paradigms to develop, deploy, and operate applications such as continuous delivery, configuration management, and the merge of development and operations (DevOps) are the foundation for various techniques and tools to implement automated deployment. To make such applications available for users and customers, these approaches are typically used in conjunction with Cloud computing to automatically provision and manage underlying resources such as storage and virtual servers. A major class of these automation approaches follow the idea of converging toward a desired state of a resource (e.g. a middleware component deployed on a virtual machine). This is achieved by repeatedly executing idempotent scripts to reach the desired state. Because of major drawbacks of this approach, we discuss an alternative deployment automation approach based on compensation and fine-grained snapshots using container virtualization. We perform an evaluation comparing both approaches in terms of difficulties at design time and performance at runtime. Moreover, we discuss concepts, strategies, and implementations to effectively combine different deployment automation approaches.

scholarly journals JINDY: A java library to support invokedynamic

2014 ◽  
Vol 11 (1) ◽  
pp. 47-68 ◽  
Author(s):  
Patricia Conde ◽  
Francisco Ortin
Keyword(s):  
Virtual Machine ◽  
Programming Language ◽  
Java Virtual Machine ◽  
Memory Consumption ◽  
Java Programming ◽  
Abstraction Level ◽  
Java Platform ◽  
Runtime Performance ◽  
And Performance ◽  
Java Library

Java 7 has included the new invokedynamic opcode in the Java virtual machine. This new instruction allows the user to define method linkage at runtime. Once the link is established, the virtual machine performs its common optimizations, providing better runtime performance than reflection. However, this feature has not been offered at the abstraction level of the Java programming language. Since the functionality of the new opcode is not provided as a library, the existing languages in the Java platform can only use it at the assembly level. For this reason, we have developed the JINDY library that offers invokedynamic to any programming language in the Java platform. JINDY supports three modes of use, establishing a trade-off between runtime performance and flexibility. A runtime performance and memory consumption evaluation is presented. We analyze the efficiency of JINDY compared to reflection, the MethodHandle class in Java 7 and the Dynalink library. The memory and performance costs compared to the invokedynamic opcode are also measured.

scholarly journals Tunable Neural Encoding of a Symbolic Robotic Manipulation Algorithm

2021 ◽  
Vol 15 ◽  
Author(s):  
Garrett E. Katz ◽  
Akshay ◽  
Gregory P. Davis ◽  
Rodolphe J. Gentili ◽  
James A. Reggia
Keyword(s):  
Virtual Machine ◽  
Robotic Manipulation ◽  
Neural Encoding ◽  
Robotic Simulation ◽  
Neural Architecture ◽  
Execution Traces ◽  
And Performance ◽  
Recurrent Architecture ◽  
Turing Complete ◽  
Symbolic Algorithm

We present a neurocomputational controller for robotic manipulation based on the recently developed “neural virtual machine” (NVM). The NVM is a purely neural recurrent architecture that emulates a Turing-complete, purely symbolic virtual machine. We program the NVM with a symbolic algorithm that solves blocks-world restacking problems, and execute it in a robotic simulation environment. Our results show that the NVM-based controller can faithfully replicate the execution traces and performance levels of a traditional non-neural program executing the same restacking procedure. Moreover, after programming the NVM, the neurocomputational encodings of symbolic block stacking knowledge can be fine-tuned to further improve performance, by applying reinforcement learning to the underlying neural architecture.

scholarly journals A Specific Risk Evaluation System for Live Virtual Machine Migration Based on the Uncertain Theory

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hang Zhou ◽  
Xinying Zhu ◽  
Jian Wang
Keyword(s):  
Virtual Machine ◽  
Risk Evaluation ◽  
Evaluation System ◽  
Integration Method ◽  
Live Migration ◽  
Virtual Machine Migration ◽  
And Performance ◽  
Uncertain Theory ◽  
Risk Evaluation System ◽  
Theory Series

Benefiting from the convenience of virtualization, virtual machine migration is generally utilized to fulfil optimization objectives in cloud/edge computing. However, live migration has certain risks and unapt decision may lead to side effects and performance degradation. Leveraging modified deep Q network, this paper provided an advanced risk evaluation system. Thorough formulation was given in this paper and a specific integration method was innovated based on uncertain theory. Series experiments were carried on computing cluster with OpenStack. The experimental results showed deep Q network for risk system was reliable while the uncertain approach was a proper way to deal with the risk integration.

Improving the Efficiency and Performance of Remote Application Monitoring System by PROXMOX Virtual Environment

2019 ◽  
Vol 16 (2) ◽  
pp. 773-777
Author(s):  
R. Jothikumar ◽  
S. Susi ◽  
Kumar Subramaniam ◽  
Siva G. Shanmugam
Keyword(s):  
Open Source ◽  
Virtual Environment ◽  
Monitoring System ◽  
Virtual Machine ◽  
Operating Systems ◽  
Single Host ◽  
And Performance

Virtualization is used to set of connections and configure various operating systems on a single host at the same time. Now-a-days many technologies prefer Open source platform for virtualized infrastructure because it provides an enormous space to the user to implement their own module. In this paper, we used piece based virtual machine (KVM) is the main open source finish virtualization arrangement on x86 equipment and it underpins all major working framework including Linux and windows.

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