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  • SADM-SDNC: security anomaly detection and mitigation in software-defined networking using C-support vector classification
    Computing (IF 2.044) Pub Date : 2020-11-27
    Tohid Jafarian, Mohammad Masdari, Ali Ghaffari, Kambiz Majidzadeh

    The inherent features of software-defined networking (SDN) architecture revolutionize traditional network infrastructure and provide the opportunity for integrated and centralized network monitoring. One of the shortcomings of SDNs is related to its high vulnerability to distributed denial of service attacks and other similar ones. In this paper, a novel multi-stage modular approach is proposed for

    更新日期:2020-11-27
  • A multi-attribute decision making approach for on-demand charging scheduling in wireless rechargeable sensor networks
    Computing (IF 2.044) Pub Date : 2020-11-26
    Abhinav Tomar, Prasanta K. Jana

    Mobile charging in wireless rechargeable sensor networks is a well-referenced research problem. Numerous studies have been carried out to determine an efficient charging schedule for mobile charger (MC). However, the problem still remains challenging as it requires a wise scheduling decision based on the evaluation of various attributes that impact on network performance. In this regard, multi-attribute

    更新日期:2020-11-27
  • Modelling resilient collaborative multi-agent systems
    Computing (IF 2.044) Pub Date : 2020-11-19
    Inna Vistbakka, Elena Troubitsyna

    Multi-agent systems constitute a wide class of decentralised systems. Their functions are usually carried out by collaborative activities of agents. To ensure resilience of multi-agent systems, we should endow them with a capability to dynamically reconfigure. Usually, as a result of reconfiguration, the existing relationships between agents are changed and new collaborations are established. This

    更新日期:2020-11-19
  • Allocation of applications to Fog resources via semantic clustering techniques: with scenarios from intelligent transportation systems
    Computing (IF 2.044) Pub Date : 2020-11-18
    Fatos Xhafa, Alhassan Aly, Angel A. Juan

    The fast development in IoT and Cloud technologies has propelled the emergence of a variety of computing paradigms, among which Fog and Edge computing are salient computing technologies. Such new paradigms are opening up new opportunities to implement novel application scenarios, not possible before, by supporting features of mobility, edge intelligence and end-user support. This, however, comes with

    更新日期:2020-11-18
  • Similarity ranking technique exploiting the structure of similarity relationships
    Computing (IF 2.044) Pub Date : 2020-11-17
    Guang-Ho Cha

    This paper proposes a similarity ranking technique that exploits the entire network structure of similarity relationships for multimedia, particularly image, databases. The main problem in the similarity ranking on multimedia is the meaning gap between the characteristics automatically computed from the multimedia dataset and the interpretation by human from the multimedia itself. In fact, the similarity

    更新日期:2020-11-17
  • A novel approach for CPU load prediction of cloud server combining denoising and error correction
    Computing (IF 2.044) Pub Date : 2020-11-12
    Deguang You, Weiwei Lin, Fang Shi, Jianzhuo Li, Deyu Qi, Simon Fong

    Computer servers in cloud data centers are known to consume a huge amount of energy in their operations. For energy saving, load balancing has been used but it is only effective when CPU loads are predicted accurately. Noise in the energy consumption data is often a detrimental factor responsible for the CPU load prediction error. In prior arts, denoising has not been considered as an approach to subside

    更新日期:2020-11-12
  • How well did it recover? Impact-aware conformance checking
    Computing (IF 2.044) Pub Date : 2020-11-06
    Arava Tsoury, Pnina Soffer, Iris Reinhartz-Berger

    Alignment-based conformance checking techniques detect and quantify discrepancies between process execution and the expected behavior as depicted in process models. However, often when deviations from the expected behavior occur, additional actions are needed to remedy and restore the process state. These would seem as further reducing conformance according to existing measures. This paper presents

    更新日期:2020-11-06
  • Supervised ensemble sentiment-based framework to measure chatbot quality of services
    Computing (IF 2.044) Pub Date : 2020-11-04
    Ebtesam Hussain Almansor, Farookh Khadeer Hussain, Omar Khadeer Hussain

    Developing an intelligent chatbot has evolved in the last few years to become a trending topic in the area of computer science. However, a chatbot often fails to understand the user’s intent, which can lead to the generation of inappropriate responses that cause dialogue breakdown and user dissatisfaction. Detecting the dialogue breakdown is essential to improve the performance of the chatbot and increase

    更新日期:2020-11-04
  • Internet network location privacy protection with multi-access edge computing
    Computing (IF 2.044) Pub Date : 2020-11-03
    Ping Zhang, Mimoza Durresi, Arjan Durresi

    Privacy is an increasing concern of mobile Internet users as both research and real-world incidents show that leaking of communication and location privacy can lead to severe consequences. Therefore much research has been done to anonymize individual users from aggregated location data. However, just the communication itself between a mobile user and their peers or website could collect considerable

    更新日期:2020-11-03
  • Air pollution prediction based on factory-aware attentional LSTM neural network
    Computing (IF 2.044) Pub Date : 2020-11-02
    Duen-Ren Liu, Yi-Kuan Hsu, Hsing-Yu Chen, Huan-Jian Jau

    With air quality issues becoming ever greater global concerns, many countries are facing numerous air pollution problems. Among all the particulate matter of air pollution, PM2.5 (whose aerodynamic diameter is 2.5 μm or less) is of particular concern. Long-term exposure to high concentrations of PM2.5 can negatively affect human health. The negative effects of PM2.5 make forecast its concentration

    更新日期:2020-11-03
  • The impact of copycat attack on RPL based 6LoWPAN networks in Internet of Things
    Computing (IF 2.044) Pub Date : 2020-11-01
    Abhishek Verma, Virender Ranga

    IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) is the standard network layer protocol for achieving efficient routing in IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN). Resource-constrained and non-tamper resistant nature of smart sensor nodes makes RPL protocol susceptible to different threats. An attacker may use insider or outsider attack strategy to perform Denial-of-Service

    更新日期:2020-11-02
  • RNe2Vec: information diffusion popularity prediction based on repost network embedding
    Computing (IF 2.044) Pub Date : 2020-10-30
    Jiaxing Shang, Shuo Huang, Dingyang Zhang, Zixuan Peng, Dajiang Liu, Yong Li, Lexi Xu

    With the rapid development in artificial intelligence and mobile networks, the past decade has witnessed the flourish of social media, and information diffusion popularity prediction in social media has attracted wide attention in both academics and industrials. However, existing popularity prediction methods either rely heavily on human experience to handcraft the features, designate the generative

    更新日期:2020-10-30
  • K-predictions based data reduction approach in WSN for smart agriculture
    Computing (IF 2.044) Pub Date : 2020-10-30
    Christian Salim, Nathalie Mitton

    Nowadays, climate change is one of the numerous factors affecting the agricultural sector. Optimising the usage of natural resources is one of the challenges this sector faces. For this reason, it could be necessary to locally monitor weather data and soil conditions to make faster and better decisions locally adapted to the crop. Wireless sensor networks (WSNs) can serve as a monitoring system for

    更新日期:2020-10-30
  • Differential privacy distributed learning under chaotic quantum particle swarm optimization
    Computing (IF 2.044) Pub Date : 2020-10-30
    Yun Xie, Peng Li, Jindan Zhang, Marek R. Ogiela

    Differential privacy has been a common framework that provides an effective method of establishing privacy-guaranteed machine learning. Extensive research work has focused on differential privacy stochastic gradient descent (SGD-DP) and its variants under distributed machine learning to improve training efficiency and protect privacy. However, SGD-DP relies on the premise of convex optimization. In

    更新日期:2020-10-30
  • A self-adaptive network for multi-robot warehouse communication
    Computing (IF 2.044) Pub Date : 2020-10-23
    Ashwini Kumar Varma, Jyotirmoy Karjee, Debjani Mitra, Hemant Kumar Rath, Arpan Pal

    With the growing popularity of e-commerce, warehouse communication needs to operate in a dynamic environment with multiple robots in the system. Such multi-robot systems have many practical issues in reality. Among the major issues, end-to-end reliable communication is seen to take up prominence in literature. The current work introduces a novel self-adaptive network structure with two of its essential

    更新日期:2020-10-30
  • Combined oversampling and undersampling method based on slow-start algorithm for imbalanced network traffic
    Computing (IF 2.044) Pub Date : 2020-10-21
    Seunghyun Park, Hyunhee Park

    Network traffic data basically comprise a major amount of normal traffic data and a minor amount of attack data. Such an imbalance problem in the amounts of the two types of data reduces prediction performance, such as by prediction bias of the minority data and miscalculation of normal data as outliers. To address the imbalance problem, representative sampling methods include various minority data

    更新日期:2020-10-30
  • Diversity metrics for direct-coded variable-length chromosome shortest path problem evolutionary algorithms
    Computing (IF 2.044) Pub Date : 2020-10-20
    Aiman Ghannami, Jing Li, Ammar Hawbani, Naji Alhusaini

    One of the major concerns in Evolutionary Algorithms is the premature convergence caused by what is known as the Exploration and Exploitation Balance problem. To maintain this balance, population diversity should be maintained during the initialization/optimization process. Maintaining diversity can be done through different strategies, but they commonly answer one question: when to introduce more

    更新日期:2020-10-20
  • A FPGA-based accelerated architecture for the Continuous GRASP
    Computing (IF 2.044) Pub Date : 2020-10-18
    Bruno Nogueira, Erick Barboza

    This work proposes a FPGA-based architecture for accelerating the Continuous GRASP (C-GRASP), a prominent metaheuristic for solving continuous optimization problems. Although FPGA implementations have been proposed for other metaheuristics, nothing has been done for C-GRASP. We conduct a comprehensive set of experiments on well-known hard test problems, and compare our FPGA architecture with C-GRASP

    更新日期:2020-10-19
  • HPMaX: heterogeneous parallel matrix multiplication using CPUs and GPUs
    Computing (IF 2.044) Pub Date : 2020-10-11
    Homin Kang, Hyuck Chan Kwon, Duksu Kim

    We present a novel heterogeneous parallel matrix multiplication algorithm that utilizes both central processing units (CPUs) and graphics processing units (GPUs) for large-scale matrices. Based on Strassen’s method, we represent matrix multiplication work as a set of matrix addition and multiplication tasks among their sub-matrices. Then, we distribute the tasks to CPUs and GPUs while considering the

    更新日期:2020-10-11
  • Notions of architecture in fog computing
    Computing (IF 2.044) Pub Date : 2020-10-10
    Zoltán Ádám Mann

    Fog computing is becoming a popular paradigm for bringing the advantages of the cloud nearer to the network edge. This way, computational tasks can be offloaded from end devices to nearby fog nodes, thus benefiting from high computational power and low latency at the same time. Architecture plays a central role in fog computing. Many papers on fog computing address architectural questions. However

    更新日期:2020-10-11
  • Social characteristics-based routing algorithm for a mobile social network
    Computing (IF 2.044) Pub Date : 2020-10-09
    Milind R. Penurkar, Umesh A. Deshpande

    Utilization of social characteristics presents a modern approach in the design of routing protocols for Mobile Social Networks. In this paper, we present a novel routing algorithm called the Social Characteristics-based Distributed Routing Algorithm (SCDRA) for a Mobile Social Network. SCDRA explores community and friendship as social features to effectively route messages. In SCDRA, nodes develop

    更新日期:2020-10-11
  • Dynamic workload-aware DVFS for multicore systems using machine learning
    Computing (IF 2.044) Pub Date : 2020-10-08
    Manjari Gupta, Lava Bhargava, S. Indu

    With growing heterogeneity and complexity in applications, demand to design an energy-efficient and fast computing system in multi-core architecture has heightened. This paper presents a regression-based dynamic voltage frequency scaling model which studies and utilizes workload characteristics to obtain optimal voltage–frequency (v–f) settings. The proposed framework leverages the workload profile

    更新日期:2020-10-08
  • Improving healthcare services using source anonymous scheme with privacy preserving distributed healthcare data collection and mining
    Computing (IF 2.044) Pub Date : 2020-10-07
    Nikunj Domadiya, Udai Pratap Rao

    The trends of data mining on healthcare data for improving medical services have increased because of the electronic healthcare record(EHR) system, which collects a massive amount of data on a daily basis. In the current scenario, hospital maintains its EHR system and stores the detailed information of patients. Data mining for healthcare improvement requires the data from all the EHR systems located

    更新日期:2020-10-07
  • Enhancing knowledge graph embedding by composite neighbors for link prediction
    Computing (IF 2.044) Pub Date : 2020-10-06
    Kai Wang, Yu Liu, Xiujuan Xu, Quan Z. Sheng

    Knowledge graph embedding (KGE) aims to represent entities and relations in a low-dimensional continuous vector space. Recent KGE works focus on incorporating additional information, such as local neighbors and textual descriptions, to learn valuable representations. However, the non-uniformity and redundancy hinder the effectiveness of entity features from those information sources. In this paper

    更新日期:2020-10-06
  • A framework for Model-Driven Engineering of resilient software-controlled systems
    Computing (IF 2.044) Pub Date : 2020-09-02
    Jacopo Parri, Fulvio Patara, Samuele Sampietro, Enrico Vicario

    Emergent paradigms of Industry 4.0 and Industrial Internet of Things expect cyber-physical systems to reliably provide services overcoming disruptions in operative conditions and adapting to changes in architectural and functional requirements. In this paper, we describe a hardware/software framework supporting operation and maintenance of software-controlled systems enhancing resilience by promoting

    更新日期:2020-09-02
  • Towards a holistic semantic support for context-aware network monitoring
    Computing (IF 2.044) Pub Date : 2020-08-25
    Paulo Carvalho, Solange Rito Lima, Luis Álvarez Sabucedo, Juan M. Santos-Gago, João Marco C. Silva

    Monitoring current communication networks and services is an increasingly complex task as a result of a growth in the number and variety of components involved. Moreover, different perspectives on network monitoring and optimisation policies must be considered to meet context-dependent monitoring requirements. To face these demanding expectations, this article proposes a semantic-based approach to

    更新日期:2020-08-26
  • Ubiquitous Health Profile (UHPr): a big data curation platform for supporting health data interoperability
    Computing (IF 2.044) Pub Date : 2020-08-19
    Fahad Ahmed Satti, Taqdir Ali, Jamil Hussain, Wajahat Ali Khan, Asad Masood Khattak, Sungyoung Lee

    The lack of Interoperable healthcare data presents a major challenge, towards achieving ubiquitous health care. The plethora of diverse medical standards, rather than common standards, is widening the gap of interoperability. While many organizations are working towards a standardized solution, there is a need for an alternate strategy, which can intelligently mediate amongst a variety of medical systems

    更新日期:2020-08-19
  • Influence ranking of road segments in urban road traffic networks
    Computing (IF 2.044) Pub Date : 2020-08-12
    Tarique Anwar, Chengfei Liu, Hai L. Vu, Md. Saiful Islam, Dongjin Yu, Nam Hoang

    Traffic congestions in urban road traffic networks originate from some crowded road segments with crucial locations, and diffuse towards other parts of the urban road network creating further congestions. This behavior of road networks motivates the need to understand the influence of individual road segments on others in terms of congestion. In this paper, we investigate the problems of global influence

    更新日期:2020-08-12
  • Constraint aware profit maximization scheduling of tasks in heterogeneous datacenters
    Computing (IF 2.044) Pub Date : 2020-08-10
    Chinmaya Kumar Swain, Bhawana Gupta, Aryabartta Sahu

    The extensive use of cloud services in different domains triggers the efficient use of cloud resources to achieve maximum profit. The heterogeneous nature of data centers and the heterogeneous resource requirement of user applications create a scope of improvement in task scheduling. The resource requirements in terms of task constraints must be fulfilled for the tasks to be admitted to the system

    更新日期:2020-08-11
  • Lightweight edge authentication for software defined networks
    Computing (IF 2.044) Pub Date : 2020-08-08
    Amar Almaini, Ahmed Al-Dubai, Imed Romdhani, Martin Schramm, Ayoub Alsarhan

    OpenFlow is considered as the most known protocol for Software Defined Networking (SDN). The main drawback of OpenFlow is the lack of support of new header definitions, which is required by network operators to apply new packet encapsulations. While SDN’s logically centralized control plane could enhance network security by providing global visibility of the network state, it still has many side effects

    更新日期:2020-08-09
  • Improved label propagation algorithm for overlapping community detection
    Computing (IF 2.044) Pub Date : 2020-08-07
    Shi Dong

    Community detection plays an important role in the analysis of complex networks. However, overlapping community detection in real networks is still a challenge. To address the problems of pre-input parameters and label redundancy, an improved label propagation algorithm (ILPA) that adopts a method based on the influence factor is proposed in this paper. Theoretical analysis and experimental results

    更新日期:2020-08-08
  • Exploring and optimizing partitioning of large designs for multi-FPGA based prototyping platforms
    Computing (IF 2.044) Pub Date : 2020-07-21
    Umer Farooq, Bander A. Alzahrani

    Recently, multi-FPGA platforms have become a popular choice to prototype complex digital systems. This is because of unique advantages such as high frequency and real world testing experience that are offered when compared to other pre-silicon testing techniques. However, one of several challenges faced by multi-FPGA prototyping is the requirement of an efficient back end flow. Partitioning is a key

    更新日期:2020-07-21
  • A method of chained recommendation for charging piles in internet of vehicles
    Computing (IF 2.044) Pub Date : 2020-07-14
    Tianle Zhang, Liwen Zheng, Yu Jiang, Zhihong Tian, Xiaojiang Du, Mohsen Guizani

    With the popularization of new energy electric vehicles (EVs), the recommendation algorithm is widely used in the relatively new field of charge piles. At the same time, the construction of charging infrastructure is facing increasing demand and more severe challenges. With the ubiquity of Internet of vehicles (IoVs), inter-vehicle communication can share information about the charging experience and

    更新日期:2020-07-14
  • On opportunistic software reuse
    Computing (IF 2.044) Pub Date : 2020-07-10
    Niko Mäkitalo, Antero Taivalsaari, Arto Kiviluoto, Tommi Mikkonen, Rafael Capilla

    The availability of open source assets for almost all imaginable domains has led the software industry to opportunistic design—an approach in which people develop new software systems in an ad hoc fashion by reusing and combining components that were not designed to be used together. In this paper we investigate this emerging approach. We demonstrate the approach with an industrial example in which

    更新日期:2020-07-10
  • IoT streaming data integration from multiple sources
    Computing (IF 2.044) Pub Date : 2020-07-08
    Doan Quang Tu, A. S. M. Kayes, Wenny Rahayu, Kinh Nguyen

    The Internet of Things (IoT) has recently received considerable interest due to the development of smart technologies in today’s interconnected world. With the rapid advancement in Internet technologies and the proliferation of IoT sensors, myriad systems and applications generate data of a massive volume, variety and velocity which traditional databases and systems are unable to manage effectively

    更新日期:2020-07-09
  • Optimized SAT encoding of conformance checking artefacts
    Computing (IF 2.044) Pub Date : 2020-07-08
    Mathilde Boltenhagen, Thomas Chatain, Josep Carmona

    Conformance checking is a growing discipline that aims at assisting organizations in monitoring their processes. On its core, conformance checking relies on the computation of particular artefacts which enable reasoning on the relation between observed and modeled behavior. It is widely acknowledge that the computation of these artifacts is the lion’s share of conformance checking techniques. This

    更新日期:2020-07-08
  • A BBR-based congestion control for delay-sensitive real-time applications
    Computing (IF 2.044) Pub Date : 2020-07-06
    Sayed Najmuddin, Muhammad Asim, Kashif Munir, Thar Baker, Zehua Guo, Rajiv Ranjan

    The current User Datagram Protocol (UDP) causes unfairness and bufferbloats to delay sensitive applications due to the uncontrolled congestion and monopolization of available bandwidth.This causes call drops and frequent communication/connection loss in delay sensitive applications such as VoIP. We present a Responsive Control Protocol using Bottleneck Bandwidth and Round trip propagation time (RCP-BBR)

    更新日期:2020-07-07
  • Gravitational search algorithm based on multiple adaptive constraint strategy
    Computing (IF 2.044) Pub Date : 2020-06-29
    Jingsen Liu, Yuhao Xing, Yixiang Ma, Yu Li

    In order to improve the convergence speed and optimization accuracy of gravitational search algorithm, the improved gravitational algorithm with dynamically adjusting inertia weight and trend factors of speed and position is proposed. This kind of algorithm with dynamic inertia weight improves the updating way of particle mass. Moreover, the mass change has a nonlinear decreasing trend and improves

    更新日期:2020-06-30
  • GPU-based matrix-free finite element solver exploiting symmetry of elemental matrices
    Computing (IF 2.044) Pub Date : 2020-06-24
    Utpal Kiran, Sachin Singh Gautam, Deepak Sharma

    Matrix-free solvers for finite element method (FEM) avoid assembly of elemental matrices and replace sparse matrix-vector multiplication required in iterative solution method by an element level dense matrix-vector product. In this paper, a novel matrix-free strategy for FEM is proposed which computes element level matrix-vector product by using only the symmetric part of the elemental matrices. The

    更新日期:2020-06-25
  • Efficient service discovery in mobile social networks for smart cities
    Computing (IF 2.044) Pub Date : 2020-06-10
    Yonghong Guo, Lu Liu, John Panneerselvam, Rongbo Zhu

    Mobile social networks (MSNs) play an important role in the process of the development of smart cities. Citizens can interact and engage with services provided by MSNs. Smart city services enhance their quality of life. With the popularity of smart phones, mobile social activities have become an important component of citizens’ daily life. People can post their social contents to their remote friends

    更新日期:2020-06-10
  • Uniform reliable broadcast in anonymous distributed systems with fair lossy channels
    Computing (IF 2.044) Pub Date : 2020-06-08
    Jian Tang, Mikel Larrea, Sergio Arévalo, Ernesto Jiménez

    Uniform reliable broadcast (URB) is an important abstraction in distributed systems, offering delivery guarantee when spreading messages between processes. Informally, URB guarantees that if a process (correct or not) delivers a message m, then all correct processes deliver m. This abstraction has been extensively investigated in distributed systems where all processes have unique identifiers. Furthermore

    更新日期:2020-06-08
  • Software-driven big data analytics
    Computing (IF 2.044) Pub Date : 2020-06-05
    Rajiv Ranjan, Zheng Li, Massimo Villari, Yan Liu, Dimitrios Georgeakopoulos

    Data analytics is the crucial step to reveal essential values of datasets and complete the value chain of big data. In practice, both the hardware infrastructure and the software stack play a fundamental role in big data analytics (BDA). Unfortunately, it is evident that a disproportionately larger amount of effort is being invested in the hardware infrastructure development over the software stack

    更新日期:2020-06-05
  • An adaptive workload-aware power consumption measuring method for servers in cloud data centers
    Computing (IF 2.044) Pub Date : 2020-05-27
    Weiwei Lin, Yufeng Zhang, Wentai Wu, Simon Fong, Ligang He, Jia Chang

    As cloud computing technologies and applications develop rapidly in recent years, the quantity and size of cloud datacenters have been ever-increasing, making the overconsumption of energy in datacenters become a widespread concern. To reduce the energy cost by servers, we must first build an accurate power model to achieve flexible, device-free power consumption measuring. However, most of the previous

    更新日期:2020-05-27
  • An approach to dynamically assigning cloud resource considering user demand and benefit of cloud platform
    Computing (IF 2.044) Pub Date : 2020-05-26
    Zhongsheng Qian, Xiaojin Wang, Xiangyu Liu, Xiaoxin Xie, Tao Song

    Cloud computing, with the features of flexible resource assignment, timely on-demand service and transparent by-quantity pricing, has been widely applied recently. As a new business service model, cloud platform must be capable of satisfying user demand and enhancing quality of service. Therefore, an excellent resource scheduling scheme is requisite to improve the working efficiency of cloud platform

    更新日期:2020-05-26
  • A novel blockchain based framework to secure IoT-LLNs against routing attacks
    Computing (IF 2.044) Pub Date : 2020-05-25
    Rashmi Sahay, G. Geethakumari, Barsha Mitra

    Routing attacks in the Internet of Things environment (IoT) can result in degraded network performance and often denial of service. Low Power and Lossy Network (LLN) is that segment in IoT which comprises constrained devices like sensors and RFIDs. IPv6 Routing Protocol over Low Power and Lossy Networks (RPL) is the standard routing protocol proposed by IETF for routing in IoT-LLNs. RPL efficiently

    更新日期:2020-05-25
  • QoS evaluation model based on intelligent fuzzy system for vehicular ad hoc networks
    Computing (IF 2.044) Pub Date : 2020-05-19
    Abir Mchergui, Tarek Moulahi, Salem Nasri

    Supporting the Quality of Service (QoS) for broadcasting techniques in Vehicular Ad hoc NETetworks (VANETs) is a primordial concern. Qualitatively, QoS is an aspect reflecting the network performance, but quantitatively, it is a function of multiple parameters such as end-to-end delay, packet loss ratio and overhead. These parameters are changing over time and according to adopted protocols. Therefore

    更新日期:2020-05-19
  • LSTM based link quality confidence interval boundary prediction for wireless communication in smart grid
    Computing (IF 2.044) Pub Date : 2020-05-18
    Wei Sun, Pengyu Li, Zhi Liu, Xue Xue, Qiyue Li, Haiyan Zhang, Junbo Wang

    The smart grid will play an important role in the future city to support the diversified energy supply. Wireless communication, the most cost-effective alternative to the traditional wire-lines, promises to provide ubiquitous bi-direction information channel for smart grid devices. However, due to the complex environment that smart grid devices located in, the wireless link is easily been interfered

    更新日期:2020-05-18
  • POF-SVLM: pareto optimized framework for seamless VM live migration
    Computing (IF 2.044) Pub Date : 2020-05-16
    Chetan Dhule, Urmila Shrawankar

    Live migration helps to achieve resource consolidation and fault tolerance. It transfers VM storage together with VM memory and CPU status. During migration, a dirty page rate also delays the period of live migration, and it affects the performance of migration by increasing migration time, network bandwidth consumption, CPU processing overheads and application downtime. Experimental results after

    更新日期:2020-05-16
  • A cache-based method to improve query performance of linked Open Data cloud
    Computing (IF 2.044) Pub Date : 2020-05-14
    Usman Akhtar, Anita Sant’Anna, Chang-Ho Jihn, Muhammad Asif Razzaq, Jaehun Bang, Sungyoung Lee

    The proliferation of semantic big data has resulted in a large amount of content published over the Linked Open Data (LOD) cloud. Semantic Web applications consume these data by issuing SPARQL queries. One of the main challenges faced by querying the LOD web cloud on account of the inherent distributed nature of LOD is its high search latency and lack of tools to connect the SPARQL endpoints. In this

    更新日期:2020-05-14
  • Efficient offloading schemes using Markovian models: a literature review
    Computing (IF 2.044) Pub Date : 2020-05-10
    Mohammad Masdari, Hemn Khezri

    The increasing demand for new mobile applications puts a heavy demand for more processing power and resources in smart mobile devices (SMD). Offloading is a promising solution for these issues which tries to move data, code, or computation from the SMDs to the remote or nearby resourceful servers. To increase the effectiveness of the offloading process and make better decisions, various stochastic

    更新日期:2020-05-10
  • A multi-objective load balancing algorithm for virtual machine placement in cloud data centers based on machine learning
    Computing (IF 2.044) Pub Date : 2020-05-06
    Arezoo Ghasemi, Abolfazl Toroghi Haghighat

    Cloud computing provides utility computing in which clients pay the cost according to their demands and service use. There are some challenges to this technology. One of these issues in data centers is virtual machine (VM) placement so that mapping of these VMs to hosts is executed for a variety of objectives such as load balancing, reducing energy consumption, increasing resource utilization, shortening

    更新日期:2020-05-06
  • An approach to evaluate trust and reputation of things in a Multi-IoTs scenario
    Computing (IF 2.044) Pub Date : 2020-05-05
    Domenico Ursino, Luca Virgili

    In the past research, trust and reputation have been investigated for communities of people, for organizations and for multi-agent systems. However, in the last few years, things are becoming increasingly relevant in the Internet scenario and, at the same time, increasingly complex. As a matter of fact, the term “Internet of Things” (hereafter, IoT) is becoming more and more common in both the scientific

    更新日期:2020-05-05
  • Feature selection and evaluation for software usability model using modified moth-flame optimization
    Computing (IF 2.044) Pub Date : 2020-05-05
    Deepak Gupta, Anil K. Ahlawat, Arun Sharma, Joel J. P. C. Rodrigues

    This paper introduces a nature-inspired optimized algorithm called modified moth-flame optimization (MMFO) for usability feature selection. To determine quality of software usability plays a significant role. This model contains various usability factors that are divided into several features, which have some characteristics, thus making a hierarchical model. Here, the authors have introduced MMFO

    更新日期:2020-05-05
  • An energy-aware clustering and two-level routing method in wireless sensor networks
    Computing (IF 2.044) Pub Date : 2020-05-05
    Aram Mosavifard, Hamid Barati

    Wireless sensor networks (WSN) are consisted of several sensor nodes scattered in an area to gather data from their ambient environment and send it to base station (BS). The energy of nodes in WSNs is limited. One of the most significant issues in WSNs is reducing the energy consumption of nodes, which leads to increased network lifetime. One method to reduce energy consumption in WSNs is energy-efficient

    更新日期:2020-05-05
  • An energy-efficient power management for heterogeneous servers in data centers
    Computing (IF 2.044) Pub Date : 2020-04-06
    Qiang Wang, Haoran Cai, Qiang Cao, Fang Wang

    Power management for heterogeneous servers has been playing a key role in improving energy efficiency in data centers. Running latency-critical web services on such scenario is still challenging due to the overheads of task transition between such servers. In this paper, we present a runtime power management system, Montgolfier, which is built on a latency-aware feedback control mechanism. It consolidates

    更新日期:2020-04-20
  • Enhanced time-aware QoS prediction in multi-cloud: a hybrid k-medoids and lazy learning approach (QoPC)
    Computing (IF 2.044) Pub Date : 2019-10-10
    Amin Keshavarzi, Abolfazl Toroghi Haghighat, Mahdi Bohlouli

    Cloud service providers should be able to predict the future states of their infrastructure in order to avoid any violation of Service Level Agreement. This becomes more complex when vendors have to deal with services from various providers in multi-clouds. As a result, QoS prediction can significantly support service providers in a better understanding of their resources future states. Users should

    更新日期:2020-04-20
  • Software system design based on patterns for Newton-type methods
    Computing (IF 2.044) Pub Date : 2019-09-10
    Ricardo Serrato-Barrera, Gustavo Rodríguez-Gómez, Julio César Pérez-Sansalvador, Saúl Pomares-Hernández, Leticia Flores-Pulido, Antonio Muñoz

    A wide range of engineering applications use optimization techniques as part of their solution process. The researcher uses specialized software that implements well-known optimization techniques to solve his problem. However, when it comes to develop original optimization techniques that fit a particular problem the researcher has no option but to implement his own new method from scratch. This leads

    更新日期:2020-04-20
  • Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach
    Computing (IF 2.044) Pub Date : 2019-11-21
    Faris A. Almalki, Marios C. Angelides

    Having reliable telecommunication systems in the immediate aftermath of a catastrophic event makes a huge difference in the combined effort by local authorities, local fire and police departments, and rescue teams to save lives. This paper proposes a physical model that links base stations that are still operational with aerial platforms and then uses a machine learning framework to evolve ground-to-air

    更新日期:2020-04-20
  • SVM ensembles for named entity disambiguation
    Computing (IF 2.044) Pub Date : 2019-08-21
    Amal Alokaili, Mohamed El Bachir Menai

    The enormous quantity of digital data necessitates automation, which among other things can help link unstructured to structured data. Such a task requires a systematic approach of mapping entity mentions (e.g., person, location) to corresponding entries in a Knowledge Base. This area of research is rapidly evolving at a breathtaking pace, which has led to the popularization of the Named Entity Disambiguation

    更新日期:2020-04-20
  • Long range dependence in cloud servers: a statistical analysis based on Google workload trace
    Computing (IF 2.044) Pub Date : 2020-01-07
    Shaifu Gupta, A. D. Dileep

    Analysis and characterization of cloud workloads provides crucial information for designing optimal resource management policies. In this work, we propose to analyse long range dependence nature of cloud resource workloads. Long range dependence is a phenomenon widely studied in Ethernet and Internet traffic. But there is a dearth of works that analyse long range dependence in cloud workloads. In this

    更新日期:2020-04-20
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