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The problem of providing optimal assignment for backend storage is a central problem in the design of cloud systems. It has taken a further central role as a result of growing heterogeneity from emerging Software Defined Storage systems. In this paper, we propose a solution to optimal IO Workload assignment using statistical modelling to estimate measures of performance such as Throughput, IOPS, et...
Command and Control (C2) Data Link performance is essential for maintaining safe command and control of the Unmanned Aircraft System (UAS). The tolerance of the automatic flight guidance and control system (AFGCS) to the degradation in C2 Data Link performance depends on the phase of flight and the AFGCS mode(s) of operation. This paper will discuss the tolerance and recommend limits for the C2 Data...
To determine the capabilities and limitations of human operators and automation in separation assurance roles, a human-in-the-loop study investigated allocation of air traffic control functions across three different conditions where amount of automation and controller tasks were varied. Participants worked a single sector with aircraft in different phases of flight. Scenarios included varying levels...
Dynamic virtual machine consolidation (DVMC) using live migration is one of the most promising solutions to reduce energy consumption in cloud data centers. Distributed DVMC often aggressively consolidates virtual machines (VMs) at the high expense of Service Level Agreement (SLA) of customers due to virtual machines (VMs) workload fluctuations. To alleviate this, static and adaptive threshold algorithms...
Energy consumption in data centres accounts for a significant proportion of national energy usage in many countries. One approach for reducing energy consumption is to improve the server usage efficiency via workload consolidation. However, there are two primary reasons why this is not done to a large extent. The first reason is that greater consolidation could result in violations of Service Level...
Innovative air traffic concepts of operation are now possible that enable novel allocations of authority and responsibility between air and ground, and between humans and automation. This paper proposes a systematic approach for the synthesis of allocations of authority and responsibility early in the design of a concept of operations to achieve its performance and safety goals. The methodology models...
A widespread use of the cloud computing paradigm has increased the necessity and significance of improving the management efficiency of cloud data centers. Special attention is paid to solving cloud resource management problems. Due to the intensive changes of virtual machine (VM) workloads and different conditions of resource utilization the VM placement and migration problems should be solved and...
Distances for trees have already been researched for decades. Thus most of the research is focused on static tree data. E.g. the calculation of XML documents when considering the aggregation of different data sources. Nowadays rising amounts of data require analysis on data streams. This results in the analysis of dynamic trees. Analysis on data streams require one-pass algorithms as well as efficient...
For commercial software in scientific and engineering computing, software licenses are needed when running them in high performance computing systems. Usually, there is a constraint for the number of software licenses. With the traditional software licenses management approaches, there is a prominent issue. The jobs will fail immediately without available software licenses. However, the existing job...
Causal-based alert correlation is one of the mainstream techniques to detect multi-step threat behaviors. However, because large-scale network generates high-speed alerts and alert type distribution in dataflow changes over time, it is challenging to increase generality, scalability and reduce overhead for causal alert correlation method. In this paper, we propose a novel general, scalable and low-overhead...
Network is critical resource for applications, but current datacenter network is shared among untrusted tenants in a best-effort manner, which cannot guarantee fairness among tenants. Fair network sharing in datacenter is a challenging problem, because the network resource is multiplexed by many virtual machines (VMs), and every VM cannot know its explicit fair bandwidth with little knowledge of network's...
Hardware virtualization has enabled large scale computational service delivery models with significant cost leverage and has improved resource utilization of cloud computing platforms. This has completely changed the landscape of computing in the last decade. It has enabled very large-scale data analytics through distributed, high performance computing. However, due to the infrastructure complexity,...
Network bandwidth is a critical resource for tenants in cloud datacenter. Early researches assume that tenants are aware of bandwidth demands of the virtual machines, and a fixed bandwidth capacity can be satisfying. However, bandwidth demands of different virtual machines are complex and time-varying and it is insufficient to re-allocate the resource when congestion or low utilization occurs. Our...
The dynamic bandwidth allocation (DBA) process in the modern passive optical networks (PONs) is crucial since it greatly influences the whole network performance. Recently, the latest new generation PON (NG-PON) standard, known as 10-gigabit-capable passive optical network (XG-PON), standardized by the international telecommunication union telecommunication standardization sector (ITU-T), emerges...
Cloud video processing and streaming services has to be delivered under heterogeneous network and device environments. Scalable video coding and transcoding are required to serve heterogeneous users. As the task scheduling algorithm pre-configures a Hadoop MapReduce platform with the assumption of homogeneous node processing capability and task complexity, it cannot well accommodate the practical...
This paper proposes a 4-layer device virtualization system architecture based on multi peer nodes. First, the different layers of deployment and the operation processes of the system are discussed, then the resource management and the information flow are described. Finally, the interface and task assignment of the proposed system is discussed using experiments and the effectiveness and stability...
Network measurement is an important tool for network managers and operators since it provides the information needed to carry out different management tasks. However, because of the rapid increase in data link speeds and the volume of traffic carried by modern networks, the availability of system resources dedicated to network measurement has always been the main limiting factor in developing modern...
Distributed data stream processing has become an increasingly popular computational framework due to many emerging applications which require real-time processing of data such as dynamic content delivery and security event analysis. These distributed data stream processing applications are often run on shared, multi-tenant clusters as companies try to consolidate from dedicated clusters for each application...
As more and more information systems are moving to the cloud, there have been efforts to deploy publish-subscribe (or pub/sub) systems in the cloud environment to take advantage of the elasticity of resources. As a result, there is a need to perform resource management for the cloud-based pub/sub systems that support various types of jobs, each consists of a series of tasks, or a workflow. Designing...
Application automatic deployment is an important prerequisite for migration existing application to cloud platform and has become an important factor. From the user's actual needs, we designed and implemented for the automated deployment SLA (Service-Level Agreement) private cloud platform based on the VMware IaaS (Infrastructure as a Service) cloud platform. Meanwhile, to meet the specific needs...
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