Controlled Virtual Resource Access to Mitigate Economic Denial of Sustainability (EDoS) Attacks against Cloud Infrastructures

Cloud-Based Multimedia Content Protection System

International Journal of Scientific Research in Science Engineering and Technology ◽

10.32628/ijsrset207448 ◽

2020 ◽

pp. 164-169

Author(s):

B. Aparna ◽

S. Madhavi ◽

G. Mounika ◽

P. Avinash ◽

S. Chakravarthi

Keyword(s):

Large Scale ◽

Protection System ◽

Multimedia Content ◽

Computationally Efficient ◽

Content Protection ◽

Protection Systems ◽

Multimedia Content Protection ◽

High Scalability ◽

Cloud Infrastructures ◽

Rapid Deployment

We propose a new design for large-scale multimedia content protection systems. Our design leverages cloud infrastructures to provide cost efficiency, rapid deployment, scalability, and elasticity to accommodate varying workloads. The proposed system can be used to protect different multimedia content types, including videos, images, audio clips, songs, and music clips. The system can be deployed on private and/or public clouds. Our system has two novel components: (i) method to create signatures of videos, and (ii) distributed matching engine for multimedia objects. The signature method creates robust and representative signatures of videos that capture the depth signals in these videos and it is computationally efficient to compute and compare as well as it requires small storage. The distributed matching engine achieves high scalability and it is designed to support different multimedia objects. We implemented the proposed system and deployed it on two clouds: Amazon cloud and our private cloud. Our experiments with more than 11,000 videos and 1 million images show the high accuracy and scalability of the proposed system. In addition, we compared our system to the protection system used by YouTube and our results show that the YouTube protection system fails to detect most copies of videos, while our system detects more than 98% of them.

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ShamDroid: gracefully degrading functionality in the presence of limited resource access

ACM SIGPLAN Notices ◽

10.1145/2858965.2814296 ◽

2015 ◽

Vol 50 (10) ◽

pp. 316-331 ◽

Cited By ~ 2

Author(s):

Lucas Brutschy ◽

Pietro Ferrara ◽

Omer Tripp ◽

Marco Pistoia

Keyword(s):

Limited Resource ◽

Resource Access

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Living Within and Without: Life-Space Mapping to Visualize Need and Resource Access of Rural Dementia Dyads

Innovation in Aging ◽

10.1093/geroni/igaa057.1404 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 434-435

Author(s):

Julia Loup ◽

A Lynn Snow ◽

Michelle Hilgeman

Keyword(s):

Visual Cues ◽

Daily Life ◽

Health Care Systems ◽

Qualitative Interviews ◽

Time Data ◽

Life Space ◽

Resource Access ◽

Space Modeling ◽

Care Systems ◽

Moca Score

Abstract Rural-dwelling veterans with dementia (PWD) and their family caregivers (CG) have unique needs and resource access limitations. Life-Space assessment models suggest older adults’ needs are reflected in their daily-life mobility and routines (Peel et al., 2005). Yet, medical treatment models seldom incorporate non-health related activities (e.g., transportation, groceries, distance to formal and informal support networks). This mixed-methods study proposes an exploratory life-space modeling visualization that integrates qualitative and quantitative daily-life data from rural dwelling dyads in Alabama. Two case studies are selected from a sample of 30 qualitative interviews to demonstrate this innovative analytic approach. One case depicts a married dyad (PWD and spousal CG) (CGage = 74; PWDage = 80, PWD MoCA score = 21) and the second visualization is of a PWD living alone (PWDage = 82, PWD MoCA Score = 20). Daily-life experiences and routines mentioned during interviews were categorized using a rapid analysis template approach and informed by unmet needs theories (Algase et al., 1996). Next, extracted data were placed into mapping visualization software. The maps include visual cues (colors, transportation routes, and icons) to designate met, unmet, and vulnerable needs and resources, allowing visual interaction with the two cases’ dementia caregiving context and qualitative responses. Life-space maps may be useful tools to visualize resource access and assist integrated health care systems in better understanding daily interactions and intervention gaps for difficult to reach populations. Future developments include ecological momentary assessment and Global Positioning System (GPS) data to develop life-space maps using real-time data collection.

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GPU-Enabled Serverless Workflows for Efficient Multimedia Processing

Applied Sciences ◽

10.3390/app11041438 ◽

2021 ◽

Vol 11 (4) ◽

pp. 1438

Author(s):

Sebastián Risco ◽

Germán Moltó

Keyword(s):

Video Processing ◽

Cost Effective ◽

Multimedia Processing ◽

Computing Services ◽

Video Frames ◽

Open Source Framework ◽

Cloud Infrastructures ◽

Aws Lambda ◽

Runtime Environments

Serverless computing has introduced scalable event-driven processing in Cloud infrastructures. However, it is not trivial for multimedia processing to benefit from the elastic capabilities featured by serverless applications. To this aim, this paper introduces the evolution of a framework to support the execution of customized runtime environments in AWS Lambda in order to accommodate workloads that do not satisfy its strict computational requirements: increased execution times and the ability to use GPU-based resources. This has been achieved through the integration of AWS Batch, a managed service to deploy virtual elastic clusters for the execution of containerized jobs. In addition, a Functions Definition Language (FDL) is introduced for the description of data-driven workflows of functions. These workflows can simultaneously leverage both AWS Lambda for the highly-scalable execution of short jobs and AWS Batch, for the execution of compute-intensive jobs that can profit from GPU-based computing. To assess the developed open-source framework, we executed a case study for efficient serverless video processing. The workflow automatically generates subtitles based on the audio and applies GPU-based object recognition to the video frames, thus simultaneously harnessing different computing services. This allows for the creation of cost-effective highly-parallel scale-to-zero serverless workflows in AWS.

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Cost-Performance Evaluation of a Recognition Service of Livestock Activity Using Aerial Images

Remote Sensing ◽

10.3390/rs13122318 ◽

2021 ◽

Vol 13 (12) ◽

pp. 2318

Author(s):

Darío G. Lema ◽

Oscar D. Pedrayes ◽

Rubén Usamentiaga ◽

Daniel F. García ◽

Ángela Alonso

Keyword(s):

Performance Evaluation ◽

Local Solution ◽

Aerial Images ◽

Cost Ratio ◽

Activity Detection ◽

Average Precision ◽

Cost Performance ◽

Detection Algorithms ◽

Cloud Infrastructures ◽

Animal Detection

The recognition of livestock activity is essential to be eligible for subsides, to automatically supervise critical activities and to locate stray animals. In recent decades, research has been carried out into animal detection, but this paper also analyzes the detection of other key elements that can be used to verify the presence of livestock activity in a given terrain: manure piles, feeders, silage balls, silage storage areas, and slurry pits. In recent years, the trend is to apply Convolutional Neuronal Networks (CNN) as they offer significantly better results than those obtained by traditional techniques. To implement a livestock activity detection service, the following object detection algorithms have been evaluated: YOLOv2, YOLOv4, YOLOv5, SSD, and Azure Custom Vision. Since YOLOv5 offers the best results, producing a mean average precision (mAP) of 0.94, this detector is selected for the creation of a livestock activity recognition service. In order to deploy the service in the best infrastructure, the performance/cost ratio of various Azure cloud infrastructures are analyzed and compared with a local solution. The result is an efficient and accurate service that can help to identify the presence of livestock activity in a specified terrain.

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Accessing resources for service innovation – the critical role of network relationships

Journal of Service Management ◽

10.1108/josm-10-2012-0219 ◽

2014 ◽

Vol 25 (1) ◽

pp. 2-29 ◽

Cited By ~ 44

Author(s):

Helena Rusanen ◽

Aino Halinen ◽

Elina Jaakkola

Keyword(s):

Critical Role ◽

Service Innovation ◽

Innovation Process ◽

Research Strategy ◽

Future Research ◽

Theoretical Understanding ◽

Resource Access ◽

Content Type ◽

External Resources ◽

Different Types

Purpose – This paper aims to explore how companies access resources through network relationships when developing service innovations. The paper identifies the types of resource that companies seek from other actors and examines the nature of relationships and resource access strategies that can be applied to access each type of resource. Design/methodology/approach – A longitudinal, multi-case study is conducted in the field of technical business-to-business (b-to-b) services. An abductive research strategy is applied to create a new theoretical understanding of resource access. Findings – Companies seek a range of resources through different types of network relationships for service innovation. Four types of resource access strategies were identified: absorption, acquisition, sharing, and co-creation. The findings show how easily transferable resources can be accessed through weak relationships and low-intensity collaboration. Access to resources that are difficult to transfer, instead, necessitates strong relationships and high-intensity collaboration. Research limitations/implications – The findings are valid for technical b-to-b services, but should also be tested for other kinds of innovations. Future research should also study how actors integrate the resources gained through networks in the innovation process. Practical implications – Managers should note that key resources for service innovation may be accessible through a variety of actors and relationships ranging from formal arrangements to miscellaneous social contacts. To make use of tacit resources such as knowledge, firms need to engage in intensive collaboration. Originality/value – Despite attention paid to network relationships, innovation collaboration, and external resources, previous research has neither linked these issues nor studied their mutual contingencies. This paper provides a theoretical model that characterizes the service innovation resources accessible through different types of relationships and access strategies.

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