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Cloud Systems

Editorial Board
Editors in Chief:
  • Varadharajan Vijayakumar (Professor & Associate Dean, School of Computing Science and Engineering, VIT University, Chennai, India)
Special Issue Editors:
  • Marco Scarpa (University of Messina)
Area Editors:
  • Luciano Baresi (Politecnico di Milano)
  • Schahram Dustdar (TU Wien)
  • Marios Dikaiakos (U. of Cyprus)
  • Marcel Kunze (Karlsruhe Institute of Technology (KIT))
  • Chandra Krintz (UC Santa Barbara)
  • Domenico Talia (University of Calabria)
  • Roman Vitenberg (University of Oslo)
  • Lizhe Wang (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences)
  • Massimo Villari (Univerity of Messina)
  • Dana Petcu (West University of Timisoara)
  • Florin Pop (University Politehnica of Bucharest, Romania)
  • Manuele Kirsch Pinheiro (Centre de Recherche en Informatique / Université Paris 1 Panthéon Sorbonne)
  • Nik Bessis (Edge Hill University)
  • Vasilios Andrikopoulos (University of Groningen)
  • Antonio Celesti (University of Messina)
  • Xiao-Zhi Gao (University of Eastern Finland, Finland)
  • Manish Kumar (Indian Institute of Information Technology, Allahabad, India)+ BioBiodata Dr. MANISH KUMAR, Associate Professor, Dept. of IT _____________________________________________________________________________ Experience: Total 14+ years of teaching experience Associate Professor at Indian Institute of Information Technology (IIIT), Allahabad [Pay Band-IV: 37000- 65000, AGP-9500] Professional Membership/Association:  IEEE [ Member #: 90580456]  ACM [ Member #: 1417948]  International Association of Engineers  Secretary, IEEE Computer Society, UP Section, India [April 2017-continue] Ph.D Student (02 completed, 07 ongoing)  Mr. Vishal Krishna Singh “In-Network Inference in Wireless Sensor Network” final presentation done on 07th February 2018  Mr. Neeraj Jain “Localization in WSN via manifold learning “final presentation done on 06th April 2018 (Joint Supervisor-Prof. Shekhar Verma) Area of Research/Interest:  Data Management in Wireless Sensor Network Data Aggregation Query processing Compressed Sensing based Inference  Big data analytics, Data Mining Parallel and distributive approach Area of Research/Interest:  Data Management in Wireless Sensor Network Data Aggregation Query processing Compressed Sensing based Inference  Big data analytics, Data Mining Parallel and distributive approach Transactional data mining Social network analysis Subject Teaching  Database Management System  Data Mining and Warehousing  Advanced Data Analytics  Theory of Computation  Mobile Data Management Laboratory developed/initiated  Faculty Coordinator, Data Analytics Lab, IIIT Allahabad Publications List of Journal Publication (SCI/SCIE) [1]. Jain, Neeraj, Shekhar Verma, and Manish Kumar. "Low Cost Localization using Nyström Extended Locally Linear Embedding." Pattern Recognition Letters (2018). [2]. Jain, Neeraj, Shekhar Verma, and Manish Kumar. "Patch based LLE with Selective Neighborhood for Node Localization." IEEE Sensors Journal (2018). [3]. Vishal Krishna Singh, Manish Kumar, and Shekhar Verma. "Node Scheduling and Compressed Sampling for Event Reporting in WSNs." In IEEE Transactions on Network Science and Engineering (2018), Doi: 10.1109/TNSE.2018.2799845. [4]. Vishal Krishna Singh and Manish Kumar ‘In-network data processing in wireless sensor networks using compressed sensing’, Int. J. Sensor Networks (2018), Vol. 26, No. 3, pp.174–189. (SCI) (Impact Factor- 0.454), Inder Science Publishers. [5]. Vishal Krishna Singh, Manish Kumar and Shekhar Verma, "Accurate Detection of Important Events in WSNs," (2018) in IEEE Systems Journal (SCI) (Impact Factor- 3.854), vol. PP, no.99, pp. 1-10. Doi: 10.1109/JSYST.2017.2783353. [6]. Singh, Vivek Kumar, Shekhar Verma, and Manish Kumar. "DBCS: A Decomposition Based Compressive Sensing for Event Oriented Wireless Sensor Networks." Wireless Personal Communications 99, no. 1 (2018): 351-369. [7]. Singh, Vishal Krishna, Vivek Kumar Singh, and Manish Kumar. "In-Network Data Processing Based on Compressed Sensing in WSN: A Survey." Wireless Personal Communications: 1-38. (2017). doi:10.1007/s11277-017-4288-y. (Impact Factor: 0.951) [8]. Singh, Vishal Krishna, Rahul Verma, and Manish Kumar. "Energy Efficient Event Detection Using Probabilistic Inference in Wireless Sensor Networks." IETE Journal of Research (2017): 1-11. (Impact Factor: 0.909) [9]. Singh, Vishal Krishna, Gajendra Sharma, and Manish Kumar. "Compressed sensing based acoustic event detection in protected area networks with wireless multimedia sensors." Multimedia Tools and Applications 76, no. 18 (2017): 18531-18555. (Impact Factor: 1.530) [10]. Singh, Vishal Krishna, Rahul Verma, and Manish Kumar. "Voronoi Neighbor Based Energy Efficient Event Detection in Wireless Sensor Networks." AEU-International Journal of Electronics and Communications (2017). (Impact Factor: 1.147) [11]. Singh, Vishal Krishna, and Manish Kumar. "In-network data processing in wireless sensor networks using compressed sensing." International Journal of Sensor Networks 26, no. 3 (2018): 174-189. [12]. Singh, Vishal Krishna, and Manish Kumar. "A Compressed Sensing Approach to Resolve the Energy Hole Problem in Large Scale WSNs." Wireless Personal Communications 99, no. 1 (2018): 185-201. [13]. Jain, Neeraj, Shekhar Verma, and Manish Kumar. "Adaptive Locally Linear Embedding for Node Localization in Sensor Networks." IEEE Sensors Journal 17, no. 9 (2017): 2949-2956. (Impact factor: 2.512) [14]. Jain, Neeraj, Shekhar Verma, and Manish Kumar. "Incremental LLE for Localization in Sensor Networks." IEEE Sensors Journal 17, no. 19 (2017): 6483-6492. (Impact factor: 2.512) [15]. Singh, V.K., Singh, V.K. & Kumar, M., “In-Network Data Processing Based on Compressed Sensing in WSN: A Survey,” Wireless Pers Commun (2017) 96: 2087. (Impact factor -0.957). [16]. Kumar, Manish, Shekhar Verma, and Kusum Lata. "Secure data aggregation in wireless sensor networks using homomorphic encryption." International Journal of Electronics 102.4 (2015): 690-702 List of Journal Papers (Scopus Indexed) [17]. Singh, Vishal Krishna, and Manish Kumar. "Hierarchical compressed sensing for cluster based wireless sensor networks." Int J Adv Comput Sci Appl 1, no. 7 (2016): 58-67. [18]. G. Sharma, M. Kumar and S. Verma “an approach of automatic acoustic data collection and categorizing” accepted in Springer–Advances in Intelligence and Soft Computing (AISC) [Scopus Indexed] [19]. G. Sharma, M. Kumar and S. Verma “realistic acoustic sensor network deployment and radio coverage in terrain profile using 3d modeling” accepted in Springer–Advances in Intelligence and Soft Computing (AISC) [Scopus Indexed] [20]. Frequent Itemset Mining in Large Datasets: A Survey, accepted in International Journal of Information Retrieval Research (IJIRR), IGI publication, 2017. [21]. Kumar, Manish, Shekhar Verma, and Neerav Agarwal. "GMCA: a greedy multilevel clustering algorithm for data gathering in wireless sensor networks." International Journal of Communication Networks and Distributed Systems 11.2 (2013): 198-213. [22]. Kumar, Manish, Santanu Das, and Sneha Govil. "Analysis of Stock Volatility Clustering Using ANN." Information Resources Management Journal (IRMJ) 28.2 (2015): 32-45 [23]. Kumar, Manish, and Sumit Kumar. "PATTERN GENERATION FOR COMPLEX DATA USING HYBRID MINING." International Journal of Data Mining & Knowledge Management Process 3.4 (2013): 127. [24]. Kumar, Manish, Pritish Kumar Varadwaj, and Shekhar Verma. "Two-phase clustering based aggregation of sensor data." International Journal of Data Mining, Modelling and Management 2.3 (2010): 216-237. [25]. Kumar, Manish, Monalisa Panigrahi, and Shekhar Verma. "XQuery based Query Processing Architecture in Wireless Sensor Networks." International Journal of Computer Applications 43.23 (2012). [Non Scopus] List of Accepted Papers (International/National Conference) [1]. A. Pal, M. Kumar,”Pattern generation from event oriented sensor data using distributed sensor transaction model “ MISNC-2017, 17-19 July, proceeding in ACM. [2]. Singh, V.K., Verma, S. & Kumar, M., “Jellyfish Detection Using Wireless Sensor Networks,” is accepted for publication in International Conference on Information and Communication Technology(CICT-2017), 3-5 November. [3]. Singh, Vishal Krishna, Ankur Kumar Rai, and Manish Kumar. "Sparse Data Recovery using Optimized Orthogonal Matching Pursuit for WSNs." Procedia Computer Science 109 (2017): 210-216, ANT-2017, 17-19 May. [4]. Singh, Vishal Krishna, Saurabh Verma, and Manish Kumar. "Privacy preserving in-network aggregation in wireless sensor networks." Procedia Computer Science 94 (2016): 216-223, 11th International Conference on Future Networks and Communications (FNC-2016). [5]. Singh, Vishal Krishna., Ajit Singh, and Manish Kumar. "Data aggregation based link loss inference in wireless sensor networks." In Electrical Computer and Electronics (UPCON), 2015 IEEE UP Section Conference on, pp. 1-5. IEEE, 2015. [6]. Jain, Neeraj, Shekhar Verma, and Manish Kumar. "Locally linear embedding for node localization in wireless sensor networks." In Computational Intelligence and Communication Networks (CICN), 2015 International Conference on, pp. 126-130. IEEE, 2015. [7]. Singh, V.K., Verma, S. & Kumar, M., “Jellyfish Detection Using Wireless Sensor Networks,” is accepted for publication in International Conference on Information and Communication Technology. [8]. G. Sharma, M. Kumar and S. Verma, "Monitoring deforestation using acoustic signals," 2016 International Conference on Bioinformatics and Systems Biology (BSB), Allahabad, 2016, pp. 1-4. [9]. "Data aggregation based link loss inference in wireless sensor networks, " in IEEE UP Section Conference on Electrical Computer and Electronics (UPCON),2015, pp. 1-5.IEEE, 2015. [10]. "Combined mining approach to generate patterns for complex data, " in International conference on computer science and information technology, February 18-20, 2013, Banglore. [11]. "Rule extraction in Health care data, " in National Seminar on Data Mining in Health Care (supported by CSIR), June 1-2, 2013, IIIT, Allahabad. [12]. "Quantitative Trait Loci (QTL) Database Analysis for Finding Association among Traits, " in International Conference on Bioinformatics and System Biology, 19-21 Feb 2010. [13]. Publised in IEEE Xplore paper titled "Clustering approach to Data Aggregation in Wireless Sensor Networks," in ICON-2008, 12-14 December, 2008, IIT Roorkee. [14]. Publised in IEEE Xplore paper titled "Data Clustering in Sensor Networks using ART, " in WCSN 2008, 27-29 December, 2008, IIIT-Allahabad. [15]. Publised in IEEE Xplore paper titled "Querying video sensor networks, " in WCSN- 2007, 11-15 December 2007, IIIT-Allahabad. List of Journal Papers (Under Review- Revision Sent) [1]. ODECS: An On-Demand Explosion based Compressed Sensing using Random Walks in Wireless Sensor Networks, under review in Systems Journal, Elsevier. [2]. Pattern mining for large distributed dataset A parallel approach-PMLDD, submitted to IETE Journal of Research - Taylor & Francis. [3]. Distributed Synthesized Association Mining for Big Transactional Data, submitted to Sadhana – Springer. Books (1) "Applied Big Data Analytics in Operations Management” " by IGI Global publications,USA, September 2016. (SCOPUS) Book Chapters (1) "Optimizing Software Error Proneness Prediction Using Bird-Mating Algorithm" accepted for publication in book "Software Project Management for Distributed Computing: Life-Cycle Methods for Developing Scalable and Reliable Tools." Springer(2016) (2) "Predictive Analytics in Operations Management" for the book "Applied Big Data Analytics in Operations Management (2016):68." under the IGI-Global publisher, USA. (2016) (3) "Collaborative Filtering Based Data Mining for Large Data" for the book "Collaborative Filtering Based Data Mining for Large Data (2016):115" under the IGI-Global publisher, USA. (2016) (4) "Rules Extraction using Data Mining in Historical Data" for the book "Business Intelligence: Concepts, Methodologies, Tools, and Applications (2015):263" under the IGI-Global publisher, USA. (2015) (5) "Rule optimization of Web-logs data using Evolutionary Technique" for the book "Research Methods: Concepts, Methodologies, Tools, and Applications (2015):158" IGI-Global publisher, USA (2015) (6) "Rules Extraction uaing data mining in Historical data" for the book "Data mining and Analysis in Engineering field" (2014):89. [IGI-Global publisher, USA] (7) "Applications of data mining in social network analysis" for the book "Data mining in Dynamic Social Networks and Fuzzy Systems (2013), pp. 110-121." under the IGI-Global publisher, USA. (2013) Invited Talks (1) “Mining Big Data", Workshop on "Machine learning and Data Analytics (MLDA-2017)", 13 July - 18 July, 2017 IIIT, Allahabad. (2) “Social Network Analysis", Workshop on "Machine learning and Data Analytics (MLDA-2017)", 13 July - 18 July, 2017 IIIT, Allahabad. (3) “IoT and Wireless Sensor Networks", Short Term Course on "Workshop on Antenna Design and Signal Processing Techniques for 5G Networks and IoT"(ADSPNIT-2017), 27 Feb - 4 March, 2017 MNNIT, Allahabad. (4) “Mining Large Data", Short Term Course on "Workshop on Emerging Trends in Communication & Information Technology" (COMMIT-2017), 30 Jan - 3 Feb, 2017 SHUATS, Allahabad. (5) Keynote Speaker, in on “International workshop on Role of technological advances, incubation themes and engineering skills (TAITES-2016)", at CIT Kokarajhar, Assam, 21-23 January, 2016. (6) “Advances in database management systems", in on “Inservice course of PGT (CS) of Kendriya Vidyalaya Sangathan” , Allahabad, 26th May 2016. (7) Keynote Speaker, in on “National workshop on Creation and Establishment of Virtual Classroom and e-Learning” , at SHIATS Allahabad, 5-6 May, 2015. (8) “Data Management in mobile computing", Short Term Course on "Mobile, Ad hoc and Vehicular Communication" (MAVECOM-2013), July 22-27, 2013 MNNIT, Allahabad. (9) “Database Systems” in "Workshop on AFRES and PRIME", held at Headquarter North Central Railway-Allahabad during 24-28 January 2011. (10) “Application of Database Management Systems in Agriculture” in “National Training program on Trends in Bioinformatics and Computation Systems: Exploring Interconnections for Molecular Biological Applications” , under “National Agriculture Innovation Project”, 16-29 July 2011 at National Bureau of Agriculturally Important Microorganisms (NBAIM), Mau. U.P. (11) “Multidimensional modeling and data mining application” in “Short term course on Data Digitization, Data Warehousing & Data Mining” in 24-28th 2009 supported by DIT,MCIT,GOI organized by IIIT, Allahabad. (12) "Data management in Wireless Sensor Networks" in "pre-conference Workshop of WCSN", 11-15 December 2007 at IIIT-Allahabad. (13) "Database Technology", Finishing school for engineering students June 1-July 15, 2008 IIIT-Allahabad. Workshop/Short term courses organized 1. Coordinator of DST-CSIR sponsored workshop on “Machine learning and Data analytics” 13 july-18 july 2017 at IIIT Allahabad. 2. Coordinator of IEEE Workshop on Computational Intelligence, 13-15th October 2014 3. Co-coordinator of “Finishing school for engineering students”, A training program held during June 1-July 15, 2008 at IIIT-Allahabad. Conference/workshop (Program Committee member) 1. Organizing committee member of International conference on Wireless Communication and Sensor Networks held at IIIT Allahabad in 15-19th December 2011. 2. Organizing committee member of International conference on Wireless Communication and Sensor Networks held at IIIT Allahabad in 15-19th December 2010. 3. Organizing committee member of International conference on Wireless Communication and Sensor Networks held at IIIT Allahabad in 15-19th December 2009. 4. Organizing committee member of Science Conclave for Nobel Laureates held at IIIT Allahabad in 8-14th December 2009. 5. Organizing committee member of Science Conclave for Nobel Laureates held at IIIT Allahabad in December 2008. 6. Organizing committee member of International conference on Wireless Communication and Sensor Networks held at IIIT Allahabad in December 2008. 7. Organizing committee member of International conference on Wireless Communication and Sensor Networks held at IIIT Allahabad in December 2007. 8. Organizing committee member of International conference on Wireless Communication and Sensor Networks held at IIIT Allahabad in December 2006. 9. Organizing committee member of All India VC Conference held at IIIT Allahabad in November 2005. Seminars/workshops attended/participated 1. Participated in “International seminar on Empowering Visually Impaired Through ICT” April 15-16, 2009 at RGIIT, Amethi. 2. Attended National Workshop on NPTEL (National Programme for technology Enhanced Learning) on 27-28th June 2007 at IIT, Kanpur. 3. Attended “International conference of forum of scientists from south and south East Asia on: Capacity building in science and technology, policy perspective, opportunities and challenges in the context of globalization. 27-29th November 2007, INSA( Indian National Science Academy) , New Delhi 4. Attended “National Seminar on Empowering Rural Health Through ICT” (at RGIIT-Amethi (a campus of IIIT-Allahabad)), 19-20 Aug 2007 5. Participated in International conference cum workshop on 4G mobile technology held at Birla Institute of Technology, Mesra, Extension Centre, Noida in December 2004. Books Reviewed: Chapter Review: Introduction to Languages and Theory of Computation, 3/e by John C.Martin, McGraw-Hill Education India Ltd. Member eMentor Team: IBM Great Mind Software Contest (2005-2007). Avocation: Visiting places, Watching games, Reading books Other Activities and Achievement : Batch Topper in M. Tech (Computer Science) Third Topper of University in Graduation. Sub-regional sports meet of Kendriya Vidyalaya Sanghatan in Football Participant in University Athletics meet 1999-2000 of B.I.T, Mesra (deemed university) and got 1st position in Long jump. Participated in first Chancellor Cup Volleyball Tournament held in Ranchi University, Ranchi Played for University Cricket Team in 1999-2000. Personal Profile: Father’s Name : Shri Krishna Chandra Singh Date of birth : 15th August 1976 Sex : Male Marital status : Married Nationality : Indian Language known : English, Hindi (Manish Kumar)
  • Syed Rizvi (Penn State University)
  • Siguang Chen (Nanjing University of Posts and Telecommunications)
  • Ahmad Karim (Bahauddin Zakariya University Pakistan)
  • Verdiana Grace Masanja (Nelson Mandela African Institution of Science and Technology (NM-AIST))
  • Maria Dolores Cano (Universidad Politecnica de Cartagena)
  • Mohammad Shojafar (Ryerson University)+ BioMohammad Shojafar (M'17-SM'19) is a Marie Curie Fellow, Intel Innovator, and Senior Researcher at the Ryerson University since Jan. 2019 working on Network Security. He was a Senior Researcher in SPRITZ Security and Privacy Research group at the University of Padua, Italy in 2018. Also, he was CNIT Senior Researcher at the University of Rome Tor Vergata contributed on European H2020 ''SUPERFLUIDITY'' project. Mohammad was contributed to some Italian projects named ''SAMMClouds'', ''V-FoG'', ''PRIN15'' projects aim to address some of the open issues related to the Software as a Service (SaaS) and Infrastructure as a Service (IaaS) systems in Cloud and Fog computing. He received the Ph.D. degree from Sapienza University of Rome, Italy, in 2016 with an ''Excellent'' degree. His current research focuses on network security and privacy, distributed computing/systems, cloud data center, and fog computing. He published over 100 refereed articles is prestigious venues such as IEEE TCC, IEEE TNSM, IEEE Network, FGCS, INFOCOM, and ICC. He was a programmer and software analyzer at National Iranian Oil Company (NIOC) and Tidewater ltd in Iran from 2008-2013, respectively. He is an Associate Editor in IEEE Transactions on Consumer Electronics, IET Communications, Cluster Computing, and Ad Hoc & Sensor Wireless Networks Journals.
  • Yuvaraja Devarajan (PANW)+ Bio• Exceptional leader talented at Enterprise Resource Planning, Robotic Process Automation and Process Mining. Technically-savvy with outstanding relationship building, training and presentation skills. • A proven technologist in the architecture and design of highly-scalable distributed systems, Enterprise applications, Business transformation solutions and b2b technologies
Scope

The EAI Endorsed Transactions on Cloud System (ToCS) is an international venue for publishing innovative and cutting edge results on the convergence of next-generation technologies and methodologies reshaping our way of living. The emerging converged platform for growth and innovation is built on four technology pillars: mobile computing, cloud services, big data and analytics, and social networking.

Researchers and practitioners involved in cloud systems can publish information on theory, engineering principles, enabling technologies, and practical experiences related to cloud systems.

ToCS will offer an end-to-end view on the challenges and technologies in cloud systems, foster research that addresses the interaction between and across the different technology pillars, and ultimately help shape the future of cloud systems as they transform business and society.

Topics

Topics include, but are not limited to, the following:

  • Anything as a Service (XaaS), for example: Infrastructure as a service (IaaS), Business process as a service (BPaaS) or Disaster Recovery as a service (DRaaS)
  • Cloud architecture and foundation services
  • Big data management and analytics
  • Internet of things (IoT) and Mobile Cloud
  • Virtualization technology
  • The virtual enterprise, software defined networks (SDN), Network Function virtualization (NFV), software defined Storage, Data virtualization, etc.
  • Cloud security, privacy, and trust
  • Workload deployment and migration
  • Resource management provisioning and load balancing
  • Energy management in cloud centers
  • Cloud programming models and tools
  • Private, Public, Hybrid and Federated clouds
  • API management, collaboration and integration
  • Content distribution and management
  • Service lifecycle management
  • Service management automation
  • Cloud computing programming models
  • Multi-tenancy
  • Discovery of services and data
  • Monitoring and Metering
  • Systems of records and systems of engagement
  • Business models, pricing, and software licensing
  • Modeling and Testing very large infrastructures
  • Standardization, regulation and compliance management
Keywords
Analytics, Cloud Computing, Social Computing, Mobile, Big Data, API, Management, Software Defined Enterprise, Virtualization, Systems of Record, Systems of Engagement, Systems of Interaction, Security, Smart Systems, QoS, Eventual Consistency, Resource Allocation, Utility Computing, X as a Service, Multi-Tenancy, Scalability