A survey and taxonomy on energy efficient resource allocation techniques for...
AbstractIn a cloud computing paradigm, energy efficient allocation of different virtualized ICT resources (servers, storage disks, and networks, and the like) is a complex problem due to the presence...
View ArticlePerformance analysis of data intensive cloud systems based on data management...
AbstractAs we delve deeper into the ‘Digital Age’, we witness an explosive growth in the volume, velocity, and variety of the data available on the Internet. For example, in 2012 about 2.5 quintillion...
View ArticleAn Energy-Efficient Task Scheduling Algorithm in DVFS-enabled Cloud Environment
AbstractThe growth of energy consumption has been explosive in current data centers, super computers, and public cloud systems. This explosion has led to greater advocacy of green computing, and many...
View ArticleCA-DAG: Modeling Communication-Aware Applications for Scheduling in Cloud...
AbstractThis paper addresses performance issues of resource allocation in cloud computing. We review requirements of different cloud applications and identify the need of considering communication...
View ArticleBig Data Reduction Methods: A Survey
Abstract Research on big data analytics is entering in the new phase called fast data where multiple gigabytes of data arrive in the big data systems every second. Modern big data systems collect...
View ArticleQuantitative Data Analysis in Finance
AbstractQuantitative tools have been widely adopted in order to extract the massive information from a variety of financial data. Mathematics, statistics and computers algorithms have never been so...
View ArticleProcess Streaming Healthcare Data with Adaptive MapReduce Framework
AbstractAs one of the most widely used healthcare scientific applications, body area network with hundreds of interconnected sensors need to be used to monitor the health status of a physical body. It...
View ArticleIntroduction to Large-Scale Distributed Computing in Smart Healthcare
AbstractConventional healthcare services have seamlessly been integrated with the pervasive computing paradigm and consequently cost-effective and dependable smart healthcare services and systems have...
View ArticleGreening emerging IT technologies: techniques and practices
AbstractThe tremendous increase in global industrial activity has resulted in high utilization of natural energy resources and increase in global warming over the last few decades. Meanwhile, computing...
View ArticleElastic CPU Cap Mechanism for Timely Dataflow Applications
AbstractSudden surges in the incoming workload can cause adverse consequences on the run-time performance of data-flow applications. Our work addresses the problem of limiting CPU associated with the...
View ArticleA V2I communication-based pipeline model for adaptive urban traffic light...
AbstractAdaptive traffic light scheduling based on realtime traffic information processing has proven effective for urban traffic congestion management. However, fine-grained information regarding...
View ArticleEvaluation of Heterogeneous Scheduling Algorithms for Wavefront and Tile...
AbstractVideo is by far the “biggest” Big Data, stretching network and storage capacity to their limits. To handle the situation, video compression has been an active field of study for many years,...
View ArticleMaintaining Fog Trust Through Continuous Assessment
AbstractCloud computing continues to provide flexible and efficient way for delivery of services, meeting user requirements and challenges of the time. Software, Infrastructures, and Platforms are...
View ArticleOn Efficiency of Scrambled Image Forensics Service Using Support Vector Machine
AbstractImages can be a very good evidence during investigation of a crime scene. At the same time they can also contain very personal information which should not be exposed without the consent of the...
View ArticleSimulating Fog Computing Applications Using iFogSim Toolkit
AbstractFog computing is a novel distributed computing paradigm that provides cloud-like services at the edge of the network. It emerges as an efficient paradigm to process the enormous amount of...
View ArticlePreventing Adversarial Attacks on Autonomous Driving Models
AbstractAutonomous driving systems are among the exceptional technological developments of recent times. Such systems gather live information about the vehicle and respond with skilled human drivers’...
View ArticleFog Resource Sharing to Enable Pay-Per-Use Model
AbstractAdvancements in the Internet of Things and Information Communication and Technologies have increased the demand for real-time services. Thus computing resources are migrated from the cloud to...
View ArticleFind Important Training Dataset by Observing the Training Sequence Similarity
AbstractIt is imperative to eliminate training data that has minimal impact on model accuracy. In addition to eliminating training data that share similar features, we propose a novel concept called...
View ArticleSelecting Distinctive-Variant Training Samples Base on Intra-class Similarity
AbstractDeep learning models often require a significant amount of data, which can be computationally intensive and architecturally complex. Efforts to address the challenge of handling large amounts...
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