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In order to keep Electric Vehicles (EVs) far from causing peaks in power demand during the day, it is important to perform an intelligent management for EVs charging and discharging services by including different metrics in a pricing policy. In this paper, we propose a novel pricing policy for EV charging (G2V) and discharging (V2G) services, in order to reduce the peak load and the energy overflow...
Many physical devices and sensors make it possible to obtain more localized data and applications which provide more localized information for users will appear. Generally, those applications use a storage server for computing location-dependent data. Traffic of Internet of Things (IoT) devices may cause concentration, when data is stored into a server. It is desirable that each location-dependent...
We analyze the conditions in which offloading computation reduces completion time. We extend the existing literature by deriving an inequality that relates computation offloading system parameters to the bits per instruction ratio of a computational job. This ratio is the inverse of the arithmetic intensity. We then discuss how this inequality can be used to determine the computations that can benefit...
In this paper, we propose a SaaS service which prevents shoplifting using image analysis and ERP. In Japan, total damage of shoplifting reaches 450 billion yen. Based on cloud and data analysis technology, we propose a shoplifting prevention service with image analysis of security camera and ERP data check for small shops. We evaluated movie analysis.
This proposal for demonstration focuses on the realization of the mobile edge cloud for low latency 5G applications by means of a game to engage the audience. Through the use of intelligent application level migration techniques, we demonstrate an agile migration of a tron-like game between multiple potential edge cloud servers, while the game is running, with uninterrupted user interaction. The following...
This demonstration proposal shows the benefit of connected cars over autonomous cars or cars controlled by street signs. The demo comprises six miniature cars that can be controlled over a wireless network while they are driving on a street with an intersection. The audience can always interact with the cars by stopping them at any place of the track and watch the system react to prevent any potential...
Resilience is an essential property for critical networked environments such as utility networks (e.g. gas, water and electricity grids), industrial control systems, and communication networks. Due to the complexity of such networked environments achieving resilience is multi-dimensional since it involves a range of factors such as redundancy and connectivity of different system components as well...
Due to the recent surge in end-users demands, value-added video services (e.g. in-stream video advertisements) need to be provisioned in a cost-efficient and agile manner in Content Delivery Networks (CDNs). Network Function Virtualization (NFV) is an emerging technology that aims to reduce costs and bring agility by decoupling network functions from the underlying hardware. It is often used in combination...
Cloud computing is a growing technology that offers compute, storage and network resources as a service over the internet. It enables the individuals, clients or the enterprises to outsource their data and application software to the cloud server. The services are offered by a cloud service provider (CSP) and the users need to pay for what they use. There are many security concerns needs to be addressed...
Security is still the main obstacle that is preventing businesses from moving towards the Cloud, which makes choosing the right Cloud service provider CSP a critical decision. We propose in this paper a methodology for evaluation and selection of Cloud security services based on a Multi-Criteria Analysis (MCA) process using a set of evaluation criteria and quantitative metrics. We then give a general...
Energy and resource utilization efficiency are two of the most significant differentiators in the contemporary Cloud computing marketplace. This paper addresses both of these from system of systems architectural and optimization viewpoints. Our approach will allow multiple cloud providers to optimally utilize compute resources. It will do this by (1) lowering the datacenters deployments per provider...
In seeking solutions to the engagement of STEM learners, the research community has offered approaches on both the learning technology and STEM pedagogy fronts. These approaches are predominantly being developed in parallel with negligible empirical studies as to the integration of applied learning theory and delivery technology. To compound this challenge there exists the critical component of developing...
Cloud computing goals to maximize the advantage of distributed resources and aggregate them to attain greater throughput to remedy huge scale computation issues diminish the completion time. The tasks submitted to it using the resources to be had it may be achieved as per scheduled by using the algorithm on time to acquire a better utilization and fairness. It is a difficult job to relatively allocate...
Secret sharing of data has certainly not been a trouble-free task with improvements in cloud computing, and a precise consideration on data that is shared offers several advantages to general public as well as individuals. There are a variety of issues that are faced when data is shared with many participants. An assuring applicant that could be used to build a secure and dependable data sharing system...
Cloud Computing is a paradigm of both parallel processing and distributed computing. It offers computing facilities as a utility service in pay as par use manner. Virtualization, self-service provisioning, elasticity and pay per use are the key features of Cloud Computing. It provides different types of resources over the Internet to perform user submitted tasks. In cloud environment, huge number...
Nowadays, the demands for composite services with devices such as sensors/actuators and Web services have increased [1]. Many kinds of cloud services that can connect to real world, as typified by image recognition or speech recognition has come into widespread use to address the limitation in information processing on devices. In that situation, sensors are also provided as sensor services that senses...
As a novel concept, "Informed Design" is proposed in a multidisciplinary project "Livable Places" in Singapore to innovate place design from empirical to evidential by harnessing geo-referenced "Big Data" for a responsive design. As a final delivery, an Informed Design Platform (IDP) is being implemented as a design support tool interpreting multi-source big data to adaptive...
Commercial clouds are quickly becoming the goto platform for hosting on-demand and dynamically scalable services for scientific analyses and computation. Dynamic provisioning of resources is a critical element when utilising the cloud for executing large-scale and complex scientific analyses. In particular, hosting and managing data intensive applications on the cloud raises new challenges in terms...
The stochastic nature of the cloud systems makes cloud quality of service (QoS) performance diagnosis and prediction a challenging task. A plethora of factors including virtual machine types, data centre regions, CPU types, time-of-the-day, and day-of-the-week contribute to the variability of the cloud QoS. The state-of-the-art methods for cloud performance diagnosis do not capture and model complex...
Modern cloud computing systems have been using multiple processing units on servers to increase their processing capability. Recently, applications with multiple parallelization options have been witnessed, and serve as a promising model for efficiently utilizing the processing capacity of the system. In this paper, we consider utility-based scheduling for periodic multisegment tasks with multiple...
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