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Visualization of the micro video big data refers to the intuitive display of the obtained data on micro videos across the Internet for the purpose of helping users to understand the message in the data. This paper describes the implementation of a micro video big data visualization system in detail, which has four steps: determine the visualization objective, choose data based on the objective, display...
Cloud resource management research and techniques have received relevant attention in the last years. In particular, recently numerous studies have focused on determining the relationship between server-side system information and performance experience for reducing resource wastage. However, the genuine experiences of clients cannot be readily understood only by using the collected server-side information...
Many high-performance computing (HPC) sites extend their clusters to support Hadoop MapReduce for a variety of applications. However, HPC cluster differs from Hadoop cluster on the configurations of storage resources. In the Hadoop Distributed File System (HDFS), data resides on the compute nodes, while in the HPC cluster, data is stored on separate nodes dedicated to storage. Dedicated storage offloads...
Broadband network performance is multi-faceted: it varies by ISP, by content source, by household connection, and by time-of-day. Daily or monthly averages, as published by content providers such as Netflix and Google, do not convey the full picture. In this paper we leverage M-Lab, the world's largest open measurement platform, to characterize broadband performance across Australian households. Our...
With the rise of mobile technologies (e.g., smart phones, wearable technologies) and location-aware Internet browsers, a massive amount of spatial data is being collected since such tools allow users to geo-tag user content (e.g., photos, tweets). Meanwhile, cloud computing providers such as Amazon and Microsoft allow users to lease computing resources where users are charged based on the amount of...
This paper makes a short overview of current state of the art monitoring tools for cloud and big data frameworks. In order to effectively create, test and deploy new algorithms or frameworks one needs suitable monitoring solutions. Hence we aim on creating a critical overview for some of the monitoring solutions existing on the market. Also we present relevant metrics used for monitoring cloud and...
In the last decade, the Internet telecommunication companies are growing rapidly and now are based on the cloud computing environments. Management of a big distributed production infrastructure with multiple business services requires a centralized control system. This paper describes how the Zabbix enterprise-class monitoring system can be used as an adaptive solution for the purpose of real-time...
Measuring the performance of cloud computing-based applications using ISO quality characteristics is a complex activity for various reasons, among them the complexity of the typical cloud computing infrastructure on which an application operates. To address this issue, the authors use Bautista's proposed performance measurement framework [1] on log data from an actual data centre to map and statistically...
Data protection using backup is one of the most critical IT management operations to ensure business continuity, which is also constantly evolving due to the emerging challenges in the “Big Data Era.” In this paper, we introduce our ongoing research effort in designing intelligent enterprise backup management solutions by obtaining actionable insights from voluminous backup job metadata across data...
Nowadays, the quantity of collected data from many different sources is increasing dramatically. As the traditional on-hand computing resources are not sufficient enough to handle Big data, deploying the processing services into clouds is becoming an inevitable trend. For QoS (quality of service)-aware Big data processing, a specially designed cloud resource allocation approach is required. Presently,...
In this work we investigate the impact of virtualization on the raw network performance attainable by "data-intensive" applications deployed in a private cloud. To this end we developed a new software tool, called OSMeF, to take repeatable measurements on our Open Stack-based platform. We also discuss the implications of our measurement results toward informed deployments of distributed...
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