Adaptive Distributed Virtual Computing Environment (ADViCE)

Kim, Dong-Min; Hariri, Salim

doi:10.1007/978-1-4615-1553-1_4

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…The adaptation algorithm involves taking appropriate action if and when, metrics deviate from the path of non-compliance [14]. The plan of the algorithm is to take necessary alternatives associated with the adaptation of each service.…”

Section: Adaptation Algorithmmentioning

confidence: 99%

Dynamic Resource Monitoring of SaaS with Attestation for a Trusted Cloud Environment

Udhayakumar¹,

Tamilselvan²

2016

IJSIA

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offered to a user through behavior analytics. An Application Monitoring Engine (AME) gets invoked at runtime to detect any changes in the behavior and analysis its pattern. Deviations if any, is escalated into a threat, which is verified through a centralized trust repository and subsequently attested by Behavior Analytics and Attestation Server (BAAS). Earlier models assess trust based on reputation

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Section: Adaptation Algorithmmentioning

confidence: 99%

Dynamic Resource Monitoring of SaaS with Attestation for a Trusted Cloud Environment

Udhayakumar¹,

Tamilselvan²

2016

IJSIA

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Design and analysis of a proactive application management system (PAMS)

Hariri

Kim

NOMS 2000. 2000 IEEE/IFIP Network Operations and Management Symposium 'The Networked Planet: Management Beyond 2000' (Cat. No.0

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Management of large-scale Network-Centric Systems (NCS) and their applications is an extremely complex and challenging task due to factors such as centralized management architectures, lack of coordination and compatibility among heterogeneous network management systems, and the dynamic characteristics of networks and application bandwidth requirements, just to name a few. The goal of this research is to develop a hierarchical framework to achieve end-to-end intelligent proactive network management system that can be used to manage largescale network centric systems and their applications. This framework will provide the ability to write management programs to manage any required function or property (performance, high assurance, fault, quality of service, etc.) o f the network-centric systems and their applications during all the phases of their operations. Our ultimate objective is to consider the management of network-centric systems and applications starting from the design phase and forward rather than being after thought process. In this paper, we present a framework to develop proactive and adaptive management services and an implementation of a Proactive Application Management System (PAMS) based on that framework. Our implementation approach utilizes delegated mobile agents to implement the management functions required by any network-centric system and/or application. We will also present experimental results and evaluation of the management services offered by the PAMS prototype.

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Observation on the spatial distribution of air pollutants by active multi-axis differential optical absorption spectroscopy

Wang¹,

Zhou²,

Wang³

et al. 2011

Acta Phys. Sin.

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An active 4-axis differential optical absorption spectroscopy system is developed in the project. The system has 4 telescopes integrated together that can simultaneously project and receive 4 independent light beams for measurement. The 4 beams share one xenon short-arc lamp as the light source. Each telescope can be adjusted individually to point to different reflectors. The angle between different beams can be adjusted up to 28°. A test is conducted on the system with four beams setting to measure the concentration of NO2 in the same area. The comparison shows good consistency between measurement data from different beams: the correlation coefficient (R2) between the data from any two beams is no less than 0.97 and the average difference between different beams is below 1×10-9. The long-term observations on the vertical distributions of NO2 and SO2 around Fudan University reveal the average feature of its daily variation: the concentration of NO2 shows a variation of double-peak in a day, the 2 peaks occur in the early morning and the evening respectively, while the valleys occur in the afternoon and the wee hours; the layer of 44—66 m has the highest NO2 concentration, while the layer of 66—88 m the lowest; during the nighttime, inter-layer difference of NO2 concentration is higher than that during the daytime and can be as high as 17×10-9; the concentration of SO2 shows a variation of single-peak in a day, the peak occurs in the forenoon; the vertical distribution of SO2 is relatively even, with the inter-layer difference below 3×10-9.

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Adaptive Distributed Virtual Computing Environment (ADViCE)

Cited by 3 publications

References 2 publications

Dynamic Resource Monitoring of SaaS with Attestation for a Trusted Cloud Environment

Dynamic Resource Monitoring of SaaS with Attestation for a Trusted Cloud Environment

Design and analysis of a proactive application management system (PAMS)

Observation on the spatial distribution of air pollutants by active multi-axis differential optical absorption spectroscopy

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