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Cloud computing is a new computing paradigm that takes all resources as services, and it is not only agile, but also scalable. With the development of cloud computing, video on demand has become one of the most popular applications over the Internet. Currently, there is a trend of using cloud data centers and virtualization technologies to expand large-scale video streaming services with higher quality...
Large numbers of visualization services exist in Web, which promote service discovery problems for those who perform visualization tasks. An approach to visualization services selection based on visualization characteristics is proposed in this paper. Firstly, an architecture to discover services in visualization domain is proposed. Secondly, a novel algorithm of visualization services selection based...
The explosion of digital data and the dependence on data-intensive services have been recognized as the most significant characteristics of the decade. Providing efficient mechanisms for optimized data-intensive services will become critical to meet the expected growing demand. In order to create a cost minimizing data-intensive service composition solution, we design two steps and two negotiation...
In real-time databases, there are data, called sensory. They are regularly updated by periodic update transactions. These data are used to calculate other data, called derived data. At each update of a given sensory data, the derived data which depend on it should be updated. Many studies have been conducted to design architectures for Distributed Real-Time DBMS (DRTDBMS) but excluding real-time derived...
Given the elasticity, dynamicity and on-demand nature of the cloud, cloud-based applications require dynamic models for Quality of Service (QoS), especially when the sensitivity of QoS tends to fluctuate at runtime. These models can be autonomically used by the cloud-based application to correctly self-adapt its QoS provision. We present a novel dynamic and self-adaptive sensitivity-aware QoS modeling...
Service and Buffer Management techniques can be used to ensure Quality of Service (QoS) for different traffic flows according to some specific policies. In this study, a single buffer queuing system is considered to model single and multi-channel, homogeneous wireless network systems such as wireless local area networks (WLANs) and cellular networks. These systems are now being used to carry both...
Distributed storage systems have the advantages of self-organizing, scalability, robust and fault-tolerant, which provide fundamental support for mission-critical applications. Unfortunately, there still exist some problems in real network conditions, especially, when considering asynchronous distributed environments, where messages may be delayed indefinitely and nodes may fail. So, failure detector...
The infrastructure-as-a-service paradigm for cloud computing lets service providers execute applications on third-party infrastructures with a pay-as-you-go billing model. Providers can balance operational costs and quality of service by monitoring application behavior and changing the deployed configuration at runtime as operating conditions change. Current approaches for automatically scaling cloud...
Today's stream processing scenarios are characterized by large volumes of data, e.g., generated by cyber-physical systems in a smart city, on which continuous analysis tasks need to be performed, often with very different optimal trade-offs between achieved QoS and associated resource consumption. Here we present the novel Quasit model and framework offering runtime support to stream processing applications...
Due to its simplicity, transparency and performance, Flow Visor takes it all in today's virtualization tools for OpenFlow networks. We argue that this effectiveness comes at the price of intolerance towards diverse OpenFlow versions used simultaneously and also limited switch functionality. What is more Flow Visor based management frameworks cannot run and configure the network controllers. In this...
Geo-distributed IaaS (Infrastructure-as-a-Service) clouds provide an intriguing platform to deploy Online Social Network (OSN) services. To leverage the potential of clouds, a major task of OSN providers is optimizing the monetary cost spent on cloud resource utilization while providing satisfactory Quality of Service (QoS) to OSN users. We thus study the problem of cost optimization for the dynamic...
In the Long Term Evolution (LTE) system, there is limited on uplink average data rate the cell edge users for the power limitation and the inherent short Transmission Time Interval (TTI) length of the cell edge users. TTI bundling scheme was presented for the VoIP service in the LTE Release 8 specifications to solve the cell coverage problem. But the R8 TTI bundling is restricted to bundles of 4 TTIs,...
The distributed system's scale increases gradually so that traditional survivability evolution methods based on mathematical model can't be applied. Firstly, Quality of Service (QoS) being the manifestation of system viability is analyzed in this paper. Secondly, a calculation method for the correlations between Qos is presented, and then a quantifiable evolution method for key attributes and distributed...
Since WSNs suffer from sever resource constraints, in terms of energy, memory and processing, temporal, spatial and spatio-temporal correlation among sensor data can be exploited by adaptive sampling approaches to find out an optimal sampling strategy, which reduces the number of sampling nodes and/or sampling rates while maintaining high data quality. In this paper, a quality aware decentralized...
Recently issues about cyber-war have gained relevant attention, especially because of gravity of damages that could be caused by cyber attacks to strategic targets, mining security of citizens. Examples of targets might include national civil and military airports, command and control systems of civil and military transportation means electronic military systems for national defense, national infrastructures...
In this paper, we propose a cooperative spectrum leasing scheme for cognitive radio networks, in which both the primary user (PU) and the secondary user (SU) target to maximize their individual utility. The PU leases a portion of its spectrum to the SU to obtain revenue when its QoS is guaranteed, and the SU rents the spectrum to achieve its target data rate. This cooperative spectrum leasing problem...
Empowering the enterprise to control their own session policy for mobile broadband is not only necessary for consumerization, but is beneficial in controlling budgets and protecting corporate network resources. We propose a practical method of establishing dynamically enterprise-Business-Context (eBC) status to determine whether or not the enterprise should fund employees'' service requests and what...
As most Web services are delivered by third parties over unreliable Internet and are late bound at run-time, it is reasonable and useful to evaluate and predict the trustworthiness of Web services. In this paper, we propose a novel approach to evaluate and predict Web services trustworthiness using comprehensive trustworthy evidences collected from the Internet. First, we use an effective way to collect...
Availability of several web services having a similar functionality has led to using quality of service (QoS) attributes to support services selection and management. To improve these operations and be performed proactively, time series ARIMA models have been used to forecast the future QoS values. However, the problem is that in this extremely dynamic context the observed QoS measures are characterized...
Many scientific workflow applications are data intensive. Large quantities of simulation generated data or data collected from sensors or instruments drive the process flow of the applications, and the processing of the data is commonly done at a different location from where the data is stored. Advanced networks such as hybrid networks make it feasible for high level applications to request network...
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