Performance modeling of distributed hybrid architectures

Spinnato, P.F.; Albada, G.D. van; Sloot, P.M.A.

doi:10.1109/tpds.2004.1264788

Cited by 12 publications

(7 citation statements)

References 34 publications

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“…Distributed performance computing (Buschmann, Henney, & Schmidt, 2007;Spinnato, Albada, & Sloot, 2004) in heterogeneous systems employs the distributed objects as applications (Radojevic, Salcic, & Roop, 2011). These applications are arranged in such a manner that the same type of user requests can be executed in distinct machines which are situated in different locations.…”

Section: Related Workmentioning

confidence: 99%

Software-as-a-Service using Heterogeneous Distributed System for User Specific Applications

Kundu¹,

Ji²,

Liu³

2014

International Journal of Cloud Applications and Computing

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In this paper, major goal is to achieve distributed environment configuring heterogeneous system framework using existing machines and high-end workstations as servers without involving extra cost. Feasibility of proposed system network is main concern in this paper having cost minimization. Data replication is responsible for enhancing dynamic scheduling in run-time. Dynamic scheduling is going to be exploited determining possible sub-network and related servers for specific user targeted tasks using active status and busy status of servers. Server-side background mode of operation is to be conducted for accessing dedicated or non-dedicated servers. Minimization of time and maximization of speed are objectives of proposed system structure.

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Section: Related Workmentioning

confidence: 99%

Software-as-a-Service using Heterogeneous Distributed System for User Specific Applications

Kundu¹,

Ji²,

Liu³

2014

International Journal of Cloud Applications and Computing

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“…In the past performance modeling of architectures having distributed nature has been demonstrated in (Spinnato, Albada, & Sloot, 2004). Different designs of embedded systems are being carried out by the researchers in heterogeneous network environment (Radojevic, Salcic, & Roop, 2011).…”

Section: Related Work Past Researchesmentioning

confidence: 99%

Structural Analysis of Cloud Classifier

Kundu¹,

Xu²,

Ji³

2014

International Journal of Cloud Applications and Computing

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In this paper, structural analysis of Cloud classifier is going to be discussed to make a clear distinction between linear and non-linear Cloud structures. Cloud manager is responsible for managing different activities within Cloud using distinct fields. Cloud path protocol has been defined to disseminate information from one node to another in a efficient way. Broadcasting complexities of linear and non-linear Cloud are also being projected in this paper. Mathematical expressions have been established for defining different performance factors of the Cloud network. In practical scenario, non-linear Cloud structure is more relevant than a linear Cloud structure.

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“…Now-a-days, Cloud (http://en.wikipedia.org/ cloud_computing) is one of the famous topic in research. Cloud services fetch information from different machines or storage systems organized in a distributed manner (Spinnato, Albada, Sloot, 2004). It is a helpful concept for those people who wish to save their data into some online storage which are globally scattered for maintain security (Armoni, 2002).…”

Section: Introduction Backgroundmentioning

confidence: 99%

“…Cloud maintains a complex structure for easy access to programs and storage using available resources (Banerjee, Kundu, Bhaumik, Sinha Babu, Dattagupta, 2012). Cloud architecture needs genuine management between all the related modules (Spinnato, Albada, Sloot, 2004). Cloud typically communicates among the bi-directional data to synchronize using integrated facilities (Hart, McKenney, Brown, 2006).…”

Section: Introduction Backgroundmentioning

confidence: 99%

Analysis on Cloud Classification using Accessibility

Kundu

Xu²,

Ji³

2014

International Journal of Cloud Applications and Computing

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In this paper, Cloud classification has been demonstrated using accessibility factor of distinct Cloud clusters. Group and non-group Cloud structures have been classified using its direction of scope of activities. Each type of Cloud is further divided into different clusters based on its unique status, such as reachable cluster, non-reachable cluster, basin cluster, momentary cluster, and initiation cluster. Set theory has been applied to realize our proposed Cloud system.

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Performance modeling of distributed hybrid architectures

Cited by 12 publications

References 34 publications

Software-as-a-Service using Heterogeneous Distributed System for User Specific Applications

Software-as-a-Service using Heterogeneous Distributed System for User Specific Applications

Structural Analysis of Cloud Classifier

Analysis on Cloud Classification using Accessibility

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