Towards Autonomic Distribution of Existing Object Oriented Programs

Deb, D.; Fuad, Muztaba; Oudshoorn, Michael J.

doi:10.1109/icas.2006.61

Cited by 15 publications

(9 citation statements)

References 10 publications

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“…However, in this paper, minimizing the computational delay is again the main objective. Another paper that presents an optimization method aiming at minimizing the communicational delay between objects is [8]. To achieve this, an object graph is¯rst constructed and is then partitioned using a partitioning algorithm.…”

Section: Related Workmentioning

confidence: 99%

Software Performance Engineering by Simulated-Based Object Deployment

Bushehrian

2013

Int. J. Soft. Eng. Knowl. Eng.

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The object deployment of a distributed software has a great impact on its performance. In this paper an analytical model for performance evaluation of di®erent object deployments, is presented. The key advantage of the proposed model over the traditional Queuing Network models is the usefulness in the deployment optimization when the search space is huge and automatic instantiation of Queuing performance models corresponding to an object deployment is costly. Since our model produces an optimal deployment corresponding to each input load separately, the runtime behavior of the software corresponding to each input load should be pro¯led using simulation¯rst. In this paper a translation scheme for generating the simulate-able Labeled Transition Systems (LTS) from scenarios is also presented. Moreover, two deployment algorithms (a GA-based and an INLP-based) are implemented and the results are compared.

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Section: Related Workmentioning

confidence: 99%

Software Performance Engineering by Simulated-Based Object Deployment

Bushehrian

2013

Int. J. Soft. Eng. Knowl. Eng.

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“…As an example, many software solutions provided for distributed processing try to reduce the communication overhead of pairs of communicating entities. This is done either by statically determining the coupling degree of processing entities [10] and running them on the same machine, or by dynamically moving highly communicating ones to a single workstation.…”

Section: B Vm Elasticitymentioning

confidence: 99%

Advantages, Challenges and Optimizations of Virtual Machine Scheduling in Cloud Computing Environments

Salimi¹,

Sharifi²

2012

IJCTE

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Abstract-Cloud computing enjoys the many attractive attributes of virtualization technology, such as consolidation, isolation, migration and suspend/resume support. In this model of computing, some desirable features such as scalability are provided by means of a new type of building blocks called virtual machines (VMs). As with any other construction block, VMs have their own scheduling challenges and advantages. This paper presents the major differences between scheduling VMs and other schedulable blocks such as processes and explains why traditional scheduling techniques used in operating systems to schedule processes or threads are not suited to VMs. New techniques to help co-scheduling virtual resources in a concurrent environment are proposed and simulated on an extension of CloudSim simulator. Simulation results of virtual processor co-scheduling show comparatively higher system performance than the methods that do not use co-scheduling.

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“…We then discuss some of the limitations of our approach and outline possible improvements. Some of the work presented in this chapter appears in the following publications: [69,70].…”

Section: Flow Of Operation In Adementioning

confidence: 99%

Achieving self-managed deployment in a distributed environment

Deb

Fuad

Oudshoorn

2011

JCM

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In presenting this dissertation in partial fulfillment of the requirements for a doctoral degree at Montana State University, I agree that the Library shall make it available to borrowers under rules of the Library. I further agree that copying of this dissertation is allowable only for scholarly purposes, consistent with "fair use" as prescribed in the U.S. Copyright Law. Requests for extensive copying or reproduction of this dissertation should be referred to ProQuest Information and Learning, 300 North Zeeb Road, Ann Arbor, Michigan 48106, to whom I have granted "the exclusive right to reproduce and distribute my dissertation in and from microform along with the nonexclusive right to reproduce and distribute my abstract in any format in whole or in part."

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Towards Autonomic Distribution of Existing Object Oriented Programs

Cited by 15 publications

References 10 publications

Software Performance Engineering by Simulated-Based Object Deployment

Software Performance Engineering by Simulated-Based Object Deployment

Advantages, Challenges and Optimizations of Virtual Machine Scheduling in Cloud Computing Environments

Achieving self-managed deployment in a distributed environment

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