Table of JCC Contents

Session 1: Decentralized JointCloud Applications

Honeypot Contract Risk Warning on Ethereum Smart Contracts

Weili Chen, Xiongfeng Guo, Zhiguang Chen, Zibin Zheng, Yutong Lu and Yin Li

GraphLib: A Parallel Graph Mining Library for Joint Cloud Computing

Kai Zhang, Yange Fang, Yingying Zheng, Hongbin Zeng, Lijie Xu and Wei Wang

A Cost-Efficient and Low-Latency Data Hosting Scheme in JointCloud Storage

Tian Lan, Tianyu Wo, Yunfei Liu, Yanlin Luo and Liyin Shao

Session 2: Distributed Machine Learning

Jupiter: A Modern Federated Learning Platform for Regional Medical Care

Ju Xing, Zexun Jiang, Jun Li and Hao Yin

Communication-Efficient Collaborative Learning of Geo-Distributed JointCloud from Heterogeneous Datasets

Xiaoli Li, Nan Liu, Chuan Chen, Zibin Zheng, Huizhong Li and Qiang Yan

A Distributed Computing Framework Based on Variance Reduction Method to Accelerate Training Machine Learning Models

Zhen Huang, Mingxing Tang, Feng Liu, Jinyan Qiu, Yuan Yuan, Changjian Wang and Yuxing Peng

Session 3: Performance

Cross-domain Workloads Performance Prediction via Runtime Metrics Transferring

Yan Li, Junming Ma and Donggang Cao

Optimizing one by one direct convolution on ARMv8 multi-core CPUs

Qinglin Wang, Dongsheng Li, Songzhu Mei, Siqi Shen, Xiandong Huang

CloudMeter: A Tool to Evaluate and Select the Desired VMs

Dian Jin, Yan Li and Donggang Cao

Session 4: Collaborative Edge and Cloud

ALLSTAR: a blockchain based joint ecosystem for the decentralized cloud and edge computing environment

Huan Zhou, Xue Ouyang and Zhiming Zhao

Cooperative Offloading for Multiple Robot Applications

Yuanzhao Zhai, Bo Ding, Pengfei Zhang, Jie Luo, Qingtong Wu, Peichang Shi, and Huaimin Wang

Cloud-edge Collaborative Industrial Robotic Intelligent Service Platform

Rui Wang, Xudong Mou, Jie Sun, Pin Liu, Xiaohui Guo, Tianyu Wo, Xudong Liu

Session 5: Serverless Computing for JointCloud Computing

Nuka: A Generic Engine with Millisecond Initialization for Serverless Computing

Shijun Qin, Heng Wu, Yuanjia Xu, Yuewen Wu and Wenbo Zhang

HCloud: A Serverless Platform for JointCloud Computing

Jinfeng Liu, Zeyu Mi, Zheng Huang, Zhichao Hua and Yubin Xia

A Survey on Serverless Computing and its Implications for JointCloud Computing

Mingyu Wu, Zeyu Mi, and Yubin Xia

Session 6: Big Data and Applications

A distributed event extraction framework from large-scale unstructured text

Zhigang Kan, Linbo Qiao, Sen Yang, Dawei Feng, Yu Tang and Dongsheng Li

Identifying the End-to-End Backbone of Information Diffusion

Yaofeng Chen, Bo Liu, Jiajun Zhou and Fuqiang Lin

Mining Robust Frequent Items in Data Streams

Rui Xia, Haipeng Dai, Zhanchao Du, Meng Li, Alex X. Liu, Guihai Chen

Panel title: Joint Edge Computing: Case Studies, Challenges, and Future Directions

Informal description to help panelists prepare:  What does an Edge node look like/consist of?  What kind of use cases? How do we federate edge nodes? How do we process across them? How do we schedule across them? How do we store data across them? When do we “cloudburst” to a central data centre?  Can we federate a private Edge with a public Cloud and how would we do this?  How do “mobile cloud” challenges like IoT device location get integrated into a “Joint Edge” system?

Table of SOSE Contents

SOSE 1: Invited Papers

Risk Breakdown Structure and Security Space for Security Management

Hiroyuki Sato, Shigeaki Tanimoto, Atsushi Kanai

COMPASS: A Data-Driven Blockchain Evaluation Framework

Wei-Tek Tsai, Rong Wang, Shuai Liu, Enyan Deng, Dong Yang

Service-Oriented Software Design Model for Communication Robot

T. Kobayashi, K. Arai, T. Imai, A. Kanai, S. Tanimoto, T. Miyazaki, A. Tsujino, H. Sato

On Coalitional and Non-Coalitional Games in the Design of User Incentives for Dependable Mobile Crowdsensing Services

Maryam Pouryazdan and Burak Kantarci

SOSE 2: Cloud and Microservice Based Service Systems Engineering

Applicability of Coverage Criteria for Serverless Applications

Stefan Winzinger and Guido Wirtz

Container Mapping and its Impact on Performance in Containerized Cloud Environments

Gaia Ambrosino, Giovanni B. Fioccola, Roberto Canonico and Giorgio Ventre

System Decomposition to optimize functionality distribution in Microservices (Rule Based Approach)

Fola-Dami Eyitemi and Stephan Reiff-Marganiec

SOSE 3: Evaluation and Optimization of Service Systems Attributes

Scheduling Heterogeneous Multiprocessor Real-Time Systems with Mixed Sets of Task

Zhuo Cheng, Jinyun Xue, Zhang Haitao, Zhen You, Qimin Hu and Yuto Lim

A Social Sensing Approach for Quality Changes of Real-World Services

Qianqian Shu, Zhiying Tu, Xiaofei Xu and Zhongjie Wang

Pattern-based Approach to Model and Verify System Security

Xiaoyu Zheng, Dongmei Liu, Hong Zhu, and Ian Bayley

SOSE 4: Applications of Service Systems Engineering

NiCad+: Speeding the Detecting Process of NiCad

Chenhui Feng, Tao Wang, Jinze Liu, Yang Zhang, Kele Xu and Yijie Wang

A Blockchain based Tracking System

Ajayvikram Chauhan, Gaurav Savner, Prajwal Venkatesh, Vishwanath Patil and Wencen Wu

Table of BigDataServices

BDS-W1: Image processing based on deep learning

Crack Detection with Multi-task Enhanced Faster R-CNN Model no video

Yingchi Mao, Jianghong Tang, Jing Chen and Ping Ping

A Deep Learning Approach for Street Pothole Detection

Ping Ping, Xiaohui Yang and Zeyu Gao

A dam deformation prediction model based on ARIMA-LSTM

Guoyan Xu, Zixu Jing, Yingchi Mao and Xinyue Su

BDS-W2: Security Risk Control and Monitoring

A New Interval Preference Model and Corresponding Fuzzy Similarity Measure for Collaborative Filtering

Yong Wang, Pengyu Wang, Xuhui Zhao, Zhuo Liu and Leo Zhang

Parallel Image Encryption Technology Based on Cellular automaton

Ping Ping, Xiaojuan Zhang, Xiaohui Yang, Yingchi Mao and Zeyu Gao

Priority Combinatorial Double Auction Based Resource Allocation Scheme in the Cloud Computing no video

Yingchi Mao, Xuesong Xu, Longbao Wang and Ping Ping

BDS 1: Big Data Analytics I

The delta big data architecture for mobility analytics

George Vouros, Apostolos Glenis and Christos Doulkeridis

Data analytics, automations, and micro-moment based recommendations for energy efficiency

Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali and Abbes Amira

Content-based Analytics: Moving Beyond Data Size

Dimitrios Tsoumakos and Ioannis Giannakopoulos

A Theoretical Study on advances in Streaming Analytics

Rajasree Rajendran, Chaithanya Reddy Bogadi, Naga Sindhu Korlapati, Sai Chaitanya Tolem and Sindu Ravichandran

BDS 2: Big Data Applications I

Classifying Cognitive Load for a Proactive In-Car Voice Assistant

Maria Schmidt, Ojashree Bhandare, Ajinkya Prabhune, Wolfgang Minker and Steffen Werner

Intracranial Hemorrhage Detection in CT Scans using Deep Learning

Tomasz Lewicki, Meera Kumar, Raymond Hong and Wencen Wu

Real-Time Ship Management through the Lens of Big Data

Stathis Plitsos, Takis Varelas

BDS 3: Social Networks

Overlapping Community Detection via Minimum Spanning Tree Computations

Aris Pagourtzis, Dora Souliou, Petros Potikas and Katerina Potika

The Tipping Point In Social Networks: Investigating the Mechanism behind Viral Information Spreading

Abhishek Singh, Niraj Dharamshi, Preethi Thimma Govarthanarajan, Premal Dattatray Samale and Magdalini Eirinaki

Find me if you can: aligning users in different social networks

Priyanka Kasbekar, Katerina Potika and Chris Pollett

BDS 4: Deep Learning

Explainability and Adversarial Robustness for RNNs

Alexander Hartl, Maximilian Bachl, Joachim Fabini and Tanja Zseby

AutoDLCon: An Approach for Controlling the Automated Tuning for Deep Learning Networks

Hazem M. Kotb, Mohamed Elhelw and Sherif Sakr

ScholarFinder: Knowledge Embedding based Recommendations using a Deep Generative Model

Yuanxun Zhang, Sai Swathi Sivarathri and Prasad Calyam

Deep Neural Networks for Future Low Carbon Energy Technologies: Potential, Challenges and Economic Development

Rameez Asif

BDS 5: Big Data Analytics II

Big Data Platform for Analysing Crime Evidences

João Marcos Do Valle, Gabriel Souza, Samuel Fidelis, Adelson Araújo Jr, Nélio Cacho, Iaslan Silva, Jaine Budke, Henrique Sales, Max Filgueira, Frederico Lopes, Daniel Araújo and Rivaldo Silva Junior

A Predictive Analytics Framework to Anomaly Detection

Anasse Bari, Junzhang Wang and Rafael Martins de Moraes

BoboCEP: Distributed Complex Event Processing for Resilient Fault-Tolerance Support in IoT

Alexander Power and Gerald Kotonya

BDS 6: Big Data Applications II

The impact of trust in consumer protection on internet shopping behavior: An empirical study using a large official dataset from the European Union

Ricardo Buettner

ZenDen - A Personalized House Searching Application

Kristina Milkovich, Saurabh Shirur, Pratap Kishore Desai, Likhith Manjunath and Wencen Wu

The 3-Hour-Threshold to Extraordinary Gaming Behavior: Observing Playtime through Empirical Analysis of a Large-Scale Dataset Comprising 5,815 Random Steam Platform Users

Ricardo Buettner , Martin Blattner, Willi Reinhardt

Data Structure for Packet De-duplication in Distributed Environments

István Finta, Sándor Szénási and Lóránt Farkas

BDS 7: Data Mining

Distributed Fog Computing Architecture for Real-Time Anomaly Detection in Smart Meter Data

Rituka Jaiswal, Antorweep Chakravorty and Chunming Rong

Distant Supervision for Keyphrase Extraction using Search Queries

Oren Sar Shalom, Yehezkel S. Resheff, Alex Zhicharevich and Rami Cohen

An Ensemble of Multiple Boosting Methods Based on Classifier-specific Soft Voting for Intelligent Vehicle Crash Injury Severity Prediction

Lei Liu, Xi Zhang, Ye Liu, Wangwang Zhu and Baixuan Zhao

BDS 8: Applications III

Mammography Image BI-RADS Classification Using OHPLall

Bob Vanderheyden and Ying Xie

Multi-Tissue Cancer Classification of Gene Expressions using Deep Learning

Tarek Khorshed, Mohamed Moustafa and Ahmed Rafea

Unsupervised Learning for Network Flow based Anomaly Detection in the Era of Deep Learning

Ahsanul Kabir and Xiao Luo

BDS 9: Applications IV

DWreck: A Data Wrecker Framework for Generating Unclean Datasets

Ashish Chouhan, Ajinkya Prabhune, Paneesh Prabhuraj and Hitesh Chaudhari

Predicting the performance of tunnel boring machines using big operational data

Qianli Zhang, Zhenyu Liu and Jianrong Tan

Table of MobileCloud Contents

MC1: Workshop on Security and Trust in Mobile Environment

Scalable and Efficient Mutual Authentication Strategy In Fog Computing

Jatna Bavishi, Mohammed Saad Shaikh and Reema Patel

Global and Secured UAV Authentication System based on Hardware-Security

Dominic Pirker, Thomas Fischer, Christian Lesjak and Christian Steger

Self-Sovereign Identity Specifications: Govern Your Identity Through Your Digital Wallet using Blockchain Technology

Nitin Naik and Paul Jenkins

MC2: Energy-saving mobile cloud

Mobile Energy Requirements of the Upcoming NIST Post-Quantum Cryptography Standards

Markku-Juhani Saarinen

Game Theoretic Algorithm for Energy Efficient Mobile Edge Computing with Multiple Access Points

Tobias Mahn, Maximilian Wirth and Anja Klein

MC 3: Crowdsourcing

Drone-Assisted Fog-Cloud IoT Content Service Platform for Rural Communities

Juan Li, Shadi Alian, Maryam Sadat Amiri Tehrani Zadeh, Bikesh Maharjan and Yan Bai

Participant Comfort Adaptation in Dependable Mobile Crowdsensing Services

Venkat Surya Dasari, Murat Simsek and Burak Kantarci

MC 4: Cloud-centric IoT and software defined IoT 5G MEC

On the Use of a Virtualized 5G Core for Time Critical Communication in Smart Grid

Van-Giang Nguyen, Karl-Johan Grinnemo, Jun Cheng, Javid Taheri and Anna Brunstrom

DewROS: a Platform for Informed Dew Robotics in ROS

Alessio Botta, Giorvanni Stanco and Giorgio Ventre

Bloccess: Towards Fine-Grained Access Control Using Blockchain in a Distributed Untrustworthy Environment

Yepeng Ding and Hiroyuki Sato

MC 5: Fog/Edge architecture and management

Docker Container Deployment in Distributed Fog Infrastructures with Checkpoint/Restart

Arif Ahmed, Apoorve Mohan, Gene Cooperman and Guillaume Pierre

Cross-site edge framework for location-awareness distributed edge-computing applications

Yu Nakata, Mayuko Takai, Hiroaki Konoura and Masafumi Kinoshita

Elastic Function Chain Control for Edge Networks under Reconfiguration Delay and QoS Requirements

Michele Berno, Flavio Esposito and Michele Rossi

Table of DAPPS Contents

DAPPS 1: Blockchain Analytics

Tokens, Types, and Standards: Identification and Utilization in Ethereum

Monika di Angelo; Gernot Salzer

Understanding and Detecting Majority Attacks

Thomas Cilloni; Xiyu Cai; Jun Li; Charles Fleming

A Data-Driven Analysis of Blockchain Systems' Public Online Communications on GDPR

Rahime Belen Saglam; Çağrı Aslan; Shujun Li; Lisa Dickson; Ganna Pogrebna

DAPPS 2 : Blockchain Frameworks

A framework for creating deployable smart contracts for non-fungible tokens on the Ethereum blockchain

Dan Chirtoaca; Joshua Ellul; George Azzopardi

A Framework for Assessing and Selecting Blockchains at Runtime

Philipp Frauenthaler; Michael Borkowski; Stefan Schulte

DAPPS 3: Blockchain Technologies

BlockAM: An Adaptive Middleware for Intelligent Data Storage Selection for Internet of Things

Syed Muhammad Danish; Kaiwen Zhang; Hans-Arno Jacobsen

COST: A Consensus-based Oracle Protocol for the Secure Trade of Digital Goods

Marcel Müller; Sandro Rodriguez Garzon; Axel Küpper

DAPPS 4: Blockchain Protocols & Analytics

TontineCoin: Murder-Based Proof-of-Stake

Chris Pollett; Thomas H. Austin; Katerina Potika; Justin Rietz

A Study on DApps Characteristics

Ilham Ahmed Qasse; Josef Spillner; Manar Abu Talib; Qassim MH Nasir

Towards An Analysis of Network Partitioning Prevention for Distributed Ledgers and Blockchains

Michael Kuperberg

DAPPS 5: Applications

RiderS: Towards a Privacy-Aware Decentralized Self-Driving Ride-sharing Ecosystem

Luis Angel D. Bathen; Divyesh Jadav; German Flores

LBRY: A Blockchain-Based Decentralized Digital Content Marketplace

Jun Li; Jeremy Kauffman; Alex Grintsvayg; Charles Fleming

Automating Bulk Commodity Trading Using Smart Contracts

Pieter Dekker; Vasilios Andrikopoulos

DAPPS 6: Applications I

Privacy-preserving Blockchain-based Systems for Car Sharing Leveraging Zero-Knowledge Protocols

Ivan Gudymenko; Asadullah Khalid; Hira Siddiqui; Mujtaba Idrees; Sebastian Clauß; André Luckow; Manuel Bolsinger; Daniel Miehle

Fair and private Bitcoin rewards: Incentivizing participation in Crowd-sensing applications

Tassos Dimitriou

Contract networking for crowdsourced connectivity

Emmanouil Dimogerontakis; Leandro Navarro; Mennan Selimi; Sergio Mosquera; Felix Freitag

DAPPS 7: Applications II

Take Back your Friends with DCS: A Decentralized Connectivity Service for private social communication apps

Christos Aslanoglou; Michalis Konstantopoulos; Nikos Chondros; Mema Roussopoulos

CommonsHood: a Blockchain-based Wallet App for Local Communities

Stefano Balbo; Guido Boella; Pierpaolo Busacchi; Alex Cordero; Luca De Carne; Diego Di Caro; Alberto Guffanti; Michele Mioli; Alessandro Sanino; Claudio Schifanella

Hyperledger Fabric: Evaluating Endorsement Policy Strategies in Supply Chains

Mark Soelman; Vasilios Andrikopoulos; Jorge A. Pérez; Vasileios Theodosiadis; Karel Goense; Arne Rutjes

DAPPS 8: Privacy & Security

How to disclose selective Information from permissioned DLT-based Traceability Systems?

Markus Schinle; Christina Erler; Adrian Vetter; Wilhelm Stork

A tool for implementing privacy in Nano

Rui Morais; Paul Crocker; Simão Sousa

SmartDHX: Diffie-Hellman Key Exchange with Smart Contracts

Robert Muth; Florian Tschorsch

Table of AITest Contents

AIT 1: Autonomous Vehicles

A Multi-Agent Systems Approach to Test Generation for Simulation-based Autonomous Vehicle Verification

Greg Chance, Abanoub Ghobrial, Severin Lemaignan, Tony Pipe and Kerstin Eder

Controlled time series generation for automotive software-in-the-loop testing using GANs

Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson and Sólrún Einarsdóttir

Coverage based testing for V&V and Safety Assurance of Self-driving Autonomous Vehicles: A Systematic Literature Review

Zaid Tahir and Rob Alexander

AIT 2: ML for Testing (I)

Improving Automated GUI Testing by Learning to Avoid Infeasible Tests

Neil Walkinshaw

Ontology-driven Security Testing of Web Applications

Josip Bozic, Yihao Li and Franz Wotawa

Neural network classification for improving continuous regression testing (short paper)

Dusica Marijan, Arnaud Gotlieb and Abhijeet Sapkota

AIT 3: Images

Dealing with Robustness of Convolutional Neural Networks for Image Classification

Paolo Arcaini, Andrea Bombarda, Silvia Bonfanti and Angelo Gargantini

Manifold-based Test Generation for Neural Network Image Classifiers

Taejoon Byun, Abhishek Vijayakumar, Sanjai Rayadurgam and Darren Cofer

Testing Acoustic Scene Classifiers using Metamorphic Relations

Diogo Moreira, Ana Paula Furtado and Sidney Nogueira

AIT 4: ML for Testing (II)

Identifying and Generating Missing Tests using Machine Learning on Execution Traces

Mark Utting, Bruno Legeard, Frédéric Dadeau, Frédéric Tamagnan and Fabrice Bouquet

Building a Classification System for Failed Test Reports: Industrial Experience

Sergey Pavlov, Anna Gromova, Iosif Itkin, Murad Mamedov, Alexander Libkov, Andrey Novikov, and Evgenii Tsymbalov

Cluster-Based Parallel Testing Using Latent Semantic Analysis

Cristina Landin, Sahar Tahvili, Hugo Haggren, Martin Längkvist and Amy Loutfi

AIT 5: Metamorphic Testing and Assessment

Accuracy Measurement of Deep Neural Network Accelerator via Metamorphic Testing

Chaojin Wang, Jian Shen, Chunrong Fang, Xiangsheng Guan, Kaitao Wu and Jiang Wang

Image Quality Assessment Method For Defect Inspection on Metal Surface

Hsien-I Lin and Po-Yi Lin

Automated identification of metamorphic test scenarios for an ocean-modeling application (short paper)

Dilip J Hiremath, Martin Claus, Wilhelm Hasselbring and Willi Rath

AIT 6: Data

Automation of Datamorphic Testing

Hong Zhu, Ian Bayley, Dongmei Liu and Xiaoyu Zheng

Evaluating Validity of Synthetic data in Perception tasks for Autonomous Vehicles

Deepak Talwar, Sachin Guruswamy, Naveen Ravipati and Magdalini Eirinaki

Test-Driven Anonymization in Health Data: A Case of Study on Assistive Reproduction (short paper)

Cristian Augusto, Miguel Angel Olivero, Jesús Morán, Leticia Morales, Claudio De La Riva, Javier Aroba and Javier Tuya

AIT 7: Evaluation of ML algorithms

Attribute-based Granular Evaluation for Performance of Machine Learning Models

Henri Trenquier, Fuyuki Ishikawa and Susumu Tokumoto

Effectiveness of dataset reduction in testing machine learning algorithms

Jaganmohan Chandrasekaran, Huadong Feng, Yu Lei, Raghu Kacker and Richard Kuhn

Important Notice Welcome to the IEEE International Conferences of SOSE/BDS/MC/ DAPPS/AITest/JCC 2020