Monitoring network traffic has become increasingly challenging in terms of number of hosts, protocol proliferation and probe placement topologies. Virtualised environments and cloud services shifted the focus from dedicated hardware monitoring devices to virtual machine based, software traffic monitoring applications. 
 This paper covers the design and implementation of ntopng, an open-source t...

Powerful data centers are the essential supporting infrastructure for mobile, ubiquitous, and cognitive computing, which are the most popular computing paradigms to utilize all kinds of physical resources and provide various services. To ensure the high quality of services, the performance and cost of a data center is a critical factor. In this paper, we investigate the issue of increasing the ...

The electric power is one of the major operating expenses in data centers. Rising and varying energy costs induce the need of further solutions to use energy efficiently. The first steps to improve efficiency have already been accomplished by applying virtualization technologies. In this paper, we address the problem of energy efficiency in data centers. Efficient and scalable power usage for d...

The growing popularity of virtualized data centers and clouds has led to virtual machine sprawl, significantly increasing system management costs. We present Coriolis, a scalable system that analyzes virtual machine images and automatically clusters them based on content and/or semantic similarity. Image similarity analysis can improve in planning many management activities (e.g., migration, sy...

First, this case study explores an Intrusion Detection System package called Snort (provided by Cisco Systems) in a cloud environment. Snort is an open source and highly scalable signaturebased intrusion detection system. Here, Snort is deployed on Ubuntu Server 16.0.4 running on a virtual machine within a Microsoft Azure cloud system. This paper provides details on installing Snort on the virt...

Virtual machine technology enables highly agile system deployments in which components can be cheaply moved, cloned, and allocated controlled hardware resources. In this paper, we examine in the context of multitier Enterprise applications, how these facilities can be used to provide enhanced solutions to the classic problem of ensuring high availability without a loss in performance on a fixed...

Heterogeneous Associative Computing (HAsC) is a new distributed heterogeneous computing paradigm that is a combination of associative computing, superconcurrency, and distributed heterogeneous computing. Its task mapping and resulting execution decision is based on data locality along with a variety of system, data, and algorithmic factors. In this paper, we present Data Placement Analysis (DPA...

Fast development of knowledge and communication has established a new computational style which is known as cloud computing. One of the main issues considered by the cloud infrastructure providers, is to minimize the costs and maximize the profitability. Energy management in the cloud data centers is very important to achieve such goal. Energy consumption can be reduced either by releasing idle...

The virtual machine (VM) allocation problem is one of the main issues in cloud data centers. This article proposes a new metaheuristic method to optimize joint task scheduling and VM placement (JTSVMP) center. JTSVMP problem, though composed two parts, namely placement, treated as be resolved by using optimization algorithms (MOAs). proposed co-optimization process aims schedule into which has ...