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SURVEY OF REAL-TIME HEALTHCARE

by Ashna Sushilan, Sayali M Nagpure, Shehbaz A Sayyed
"... The fast development of Internet of Things (IoT) technology makes it possible for connecting different smart objects together through the use of Internet and providing more data interoperability methods for application purpose. Recent research shows more potential applications of IoT in information ..."
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anomalies are detected or a threshold is reached, the monitoring system automatically transmits the information to the doctor’s workstation. Thus we are proposing a survey system which will perform these tasks by means of IoT, microcontrollers and semiconductors, sensors by means of Cloud platform.

Detecting Behavioral and Structural Anomalies in MediaCloud Applications

by Guido Schwenk, Sebastian Bach
"... Abstract. In the past years technological advances such as the increas-ing bandwidth in network infrastructures and new software developments such as message and agent-based systems gave rise to the field of cloud technologies, which have evolved from abstract concepts to concrete so-lutions, rangin ..."
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Cloud focuses on real-time processing of interactive media applications, allowing for optimal resource planning using highly specific functional components. The proposed anomaly de-tection methods are designed to work complimentary to each other and are capable of detecting known and unknown

A HIERARCHICAL ARCHITECTURE FOR ON-LINE CONTROL OF PRIVATE CLOUD-BASED SYSTEMS

by Mauro Andreolini, Sara Casolari, Stefania Tosi
"... Several enterprise data centers are adopting the private cloud computing paradigm as a scalable, cost-effective, robust way to provide services to their end users. The management and control of the underlying hw/sw infrastructure pose several interesting problems. In this paper we are interested to ..."
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to evidence that the monitoring process needs to scale to thousands of heterogeneous resources at different levels (system, network, storage, application) and at different time scales; it has to cope with missing data and detect anomalies in the performance samples; it has to transform all data

A HIERARCHICAL ARCHITECTURE FOR ON-LINE CONTROL OF PRIVATE CLOUD-BASED SYSTEMS

by unknown authors
"... Several enterprise data centers are adopting the private cloud computing paradigm as a scalable, cost-effective, robust way to provide services to their end users. The management and control of the underlying hw/sw infrastructure pose several interesting problems. In this paper we are interested to ..."
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to evidence that the monitoring process needs to scale to thousands of heterogeneous resources at different levels (system, network, storage, application) and at different time scales; it has to cope with missing data and detect anomalies in the performance samples; it has to transform all data

Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions

by Rajkumar Buyya , Kotagiri Ramamohanarao , Chris Leckie , Rodrigo N Calheiros , Amir Vahid Dastjerdi , Steve Versteeg
"... Abstract-The emergence of cloud computing has made dynamic provisioning of elastic capacity to applications ondemand. Cloud data centers contain thousands of physical servers hosting orders of magnitude more virtual machines that can be allocated on demand to users in a pay-as-you-go model. However ..."
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. However, not all systems are able to scale up by just adding more virtual machines. Therefore, it is essential, even for scalable systems, to project workloads in advance rather than using a purely reactive approach. Given the scale of modern cloud infrastructures generating real time monitoring

WIDS: A Sensor-Based Online Mining Wireless Intrusion Detection System ∗

by C. I. Ezeife, Maxwell Ejelike, A. K. Aggarwal
"... This paper proposes WIDS, a wireless intrusion detection system, which applies data mining clustering technique to wireless network data captured through hardware sensors for purposes of real time detection of anomalous behavior in wireless packets. Using hardware sensors to capture network packets ..."
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This paper proposes WIDS, a wireless intrusion detection system, which applies data mining clustering technique to wireless network data captured through hardware sensors for purposes of real time detection of anomalous behavior in wireless packets. Using hardware sensors to capture network packets

Observation of polar lows by the Advanced Microwave Sounding Unit: potential and limitations

by unknown authors , 2008
"... The potential of the Advanced Microwave Sounding Unit (AMSU) observations for the depiction and tracking of intense high-latitude mesoscale maritime weather systems, called polar lows, is explored. Since a variety of mechanisms are important for their development and maintenance, this investigation ..."
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is based on three polar low cases of different types. The AMSU-B channels at 183 GHz are able to locate convective polar lows (PL) even in their incipient stage, at a time when there is considerable uncertainty as to the nature of the cloud structures seen in the visible or infrared imagery. This detection

von

by Mathematisch-naturwissenschaftlichen Fakultät, Stefan Lange, Prof Dr, Jan-hendrik Olbertz, Prof Dr, Elmar Kulke
"... eingereicht an der ..."
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eingereicht an der

Effective runtime monitoring of distributed

by unknown authors
"... devices in the Internet of Things (IoT) and other data sources are increasingly bridging the gap between the physical and digital world by providing fine-grained data about real-world events. Enterprise software systems are adopting the paradigm of event-based systems (EBS) to enable them to react t ..."
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devices in the Internet of Things (IoT) and other data sources are increasingly bridging the gap between the physical and digital world by providing fine-grained data about real-world events. Enterprise software systems are adopting the paradigm of event-based systems (EBS) to enable them to react

Article history

by Muhammad Faiz Pa'suyaa, Kamaludin Mohd Omarb, Benny N. Peterb, Ami Hassan, Md Dinb, Mohd Fadzil, Mohd Akhirc , 2014
"... The sea surface circulation pattern over the coast of Peninsula Malaysia's East Coast during Northeast Monsoon (NE) and Southwest Monsoon (SW) are derived using the seasonally averaged sea level anomaly (SLA) data from altimetric data and 1992-2002 Mean Dynamic Ocean Topography. This altimetric ..."
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. This altimetric data has been derived from multi-mission satellite altimeter TOPEX, ERS-1, ERS-2, JASON-1, and ENVISAT for the period of nineteen years (1993 to 2011) using the Radar Altimeter Database System (RADS). The estimated sea level anomaly (SLA) have shown similarity in the pattern of sea level
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