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Call detail records (CDRs) collected at telecommunication networks have been well studied to reveal human behaviors such as voice service usage, contact regularities and mobility patterns. With the advances in big data technology, carriers can now collect, store and analyze more data, such as records of user mobile web activities, at scales much larger than CDRs. In this paper, we study 14 features...
The flows of traffic dumps of high-speed Internet backbone channel were analyzed. Streams were classified into three groups according to the amount of transmitted information. Density function was calculated for the number of packets transmitted by different classes of flows (time series) according to the method of image sources and the Rosenblatt-Parzen approximation. The obtained results show non-stationarity...
In the paper, the feature of Intermittently Connected Mobile Networks (ICMN), that information can be propagated through the near-distance contact of nodes, is utilized as a supplement to the common Internet subscriber/publisher ser-vices. Specifically, the nodes with Internet connectivity can help those without in retrieving the messages once stored and carried by the former. With the modeling of...
Considering an infomediary provides demand referral service to retailer and incentive rebate to customer in Internet supply chain, a horizontal cooperation model with stochastic demand and rebate cost was established, and then the optimal policies of infomediary and retailer in centralized and decentralized supply chain were analyzed. Moreover, a horizontal cooperation contract based on incentive...
In studies of complex heterogeneous networks, particularly of the Internet, significant attention was paid to analysing network failures caused by hardware faults or overload. There network reaction was modelled as rerouting of traffic away from failed or congested elements. Here we model network reaction to congestion on much shorter time scales when the input traffic rate through congested routes...
Nowadays, the computer network equipment is highly efficient. It provides faster communication with low cost. Traffic analysis is one of major's factors for the network design. In recently, characteristic of HTTP, FTP, SMTP, VoIP and other Internet applications in the intra-domain network are being widely studied in term of bandwidth utilization. However, a characteristic of multicast traffic in the...
Having a better understanding of the properties of network traffic can help in both evaluating current networking protocols and in creating more realistic models which might help in improving today's Internet service. Based on one month traceroute data from 6 different sources to more than 380 destinations, we present an analysis of how the hop count (HC) varies as seen by IPs in the same Autonomous...
Recently introduced spot instances in the Amazon Elastic Compute Cloud (EC2) offer lower resource costs in exchange for reduced reliability; these instances can be revoked abruptly due to price and demand fluctuations. Mechanisms and tools that deal with the cost-reliability trade-offs under this schema are of great value for users seeking to lessen their costs while maintaining high reliability....
The explosive growth of Internet traffic has led to a dramatic increase in demand for data transmission capacity, which has spurred tremendous research activities in real-time traffic estimation and related methodologies. High-speed services and bulk transmission were available and various next-generation converged services are undergoing a change by various services. This paper presents improved...
Cloud computing has emerged as a popular paradigm that offers computing resources (e.g. CPU, storage, bandwidth, software) as scalable and on-demand services over the Internet. As more players enter this emerging market, a heterogeneous cloud computing market is expected to evolve, where individual players will have different volumes of resources, and will provide specialized services, and with different...
Contemporary engineers need to become more cognizant and more responsive to the emerging needs of the market for engineering and technology services. Engineering education has the potential to contribute decisively to the sustainable development of e-business applications or enterprise 2.0, which penetrate our society more thoroughly with the availability of broadband services. However, the success...
This paper proposes a minimally supervised method for acquiring high-level semantic relations such as causality and prevention from the Web. Our method learns linguistic patterns that express causality such as ??x gave rise to y??, and uses them to extract causal noun pairs like (global warming, malaria epidemic) from sentences like ??global warming gave rise to a new malaria epidemic??. The novelty...
This paper is concerned with understanding the connection between the existing Internet congestion control algorithms and the optimal control theory. The available resource allocation controllers are mainly devised to derive the state of the system to a desired equilibrium point and, therefore, they are oblivious to the transient behavior of the closed-loop system. This work aims to investigate what...
With the rapidly growing number of Web services throughout the Internet, Service Oriented Architecture (SOA) enables a multitude of service providers (SP) to provide loosely coupled and inter-operable services at different Quality of Service (QoS) levels. This paper considers the services are published to a QoS-aware registry. The structure of composite service is described as a Service Orchestration...
A great portion of data on the Web lies in the hidden databases of the Deep Web. These databases can only be accessed through the query interfaces. The data information in these databases can only be obtained by data sampling. Efficient and uniform data sampling approach is very important to other research work, such as data source selection and ranking, for the data samples can give insight into...
In this paper, we consider a recently proposed supervised learning problem, called online multiclass prediction with bandit setting model. Aiming at learning from partial feedback of online classification results, i.e. ??true?? when the predicting label is right or ??false?? when the predicting label is wrong, this new kind of problems arouses much of researchers' interest due to its close relations...
Knowledge discovery from scientific articles has received increasing attentions recently since huge repositories are made available by the development of the Internet and digital databases. In a corpus of scientific articles such as a digital library, documents are connected by citations and one document plays two different roles in the corpus: document itself and a citation of other documents. In...
In this paper, we present an optimization-based approach to control the outbound interdomain traffic for stub ASes. Our approach allows the network operator to define multiple traffic objectives. We present a genetic algorithm to specify a provider for destination prefix sets with the objective of minimizing configure changes , minimum cost and load balancing. In solving the assignment problem with...
The acquisition of requirements assets are important in software product line (SPL) engineering for it help enhancing the effectiveness of reuse. Traditional methods are heavily based on manual effort. This appears to be a barrier for many organizations which tend to launch a SPL. In this paper, we propose an approach to extract functional requirements by analyzing text-based software requirements...
What is a cloud application precisely? In this paper, we formulate a computing cloud as a kind of graph, a computing resource such as services or intellectual property access rights as an attribute of a graph node, and the use of a resource as a predicate on an edge of the graph. We also propose to model cloud computation semantically as a set of paths in a subgraph of the cloud such that every edge...
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