October 2014 - ogsa-wg - lists.ogf.org

CFP: IEEE Cloud Computing Magazine SI on "Cloud-based Smart Evacuation Systems for Emergency Management"
by DEEPAK PUTHAL 24 Oct '14

24 Oct '14

[Apologies if you receive multiple copies of this message] *Call for papers:* IEEE Cloud Computing Magazine Special Issue on "Cloud-based Smart Evacuation Systems for Emergency Management" IMPORTANT DATES ***************************** Submissions Due: October 30, 2014 (Extended) DETAILS ABOUT THE ISSUE ***************************** Natural and man-made emergencies, such as tsunamis, earthquakes, floods, and epidemics pose a significant threat to human societies. The lessons learned from the growing number of recent emergencies, such as Japan's earthquake (2011), Katrina hurricane (2005), Colorado flood (2013), Queensland flooding in Australia (2010), Haiti earthquake (2010), has put impetus on the development of emergency evacuation planning systems. Well-coordinated emergency management activities that involves guiding of citizens out of danger areas, placement of medical team to the most appropriate locations, and real-time planning of evacuation routes before and after a disaster play a significant role in saving lives, protecting critical infrastructures, and minimizing causalities. For example, due to lack of proper evacuation planning system, 25 people lost their lives in the first 30 minutes while attempting to flee their Oakland Hills neighborhood in California during a wildfire in 1991. The management of evacuation activities such as guiding people out of dangerous areas and coordinating rescue teams is dependent on the availability of historical data as well as on the effective real-time integration and utilisation of data streaming from multiple sources including on-site sensors, social media feeds and messaging on mobile devices (i.e. text messaging, location, etc.). However, there is a pitfall; the growing ubiquity of on-site sensors, social media and mobile devices means there are more sources of outbound traffic, which ultimately results in the creation of a tsunami of data, beginning shortly after the onset of emergency events. This data tsunami phenomenon is being described as a new grand challenge in computing: The 'Big Data' problem. Over 20 million tweets posted during Hurricane Sandy (2012) lead to an instance of the Big Data problem. During the 2010 Haiti earthquake, text messaging via mobile phones and Twitter made headlines as being crucial for disaster response, but only some 100,000 messages were actually processed by government agencies due to lack of automated and scalable data processing infrastructure. Design and development of evacuation systems for emergency management requires a complete ICT (Information and Communication Technology) paradigm shift in a way that systems do not get overwhelmed by incoming data volume, data rate, data sources, and data types. New cloud-based techniques are needed that can extract meaningful information from large-scaled data in real-time, while avoiding unnecessary data transmission or storage. Future initiative should focus on developing cloud-based techniques to improve the performance of multiple data stream processing system while balancing computational complexity and Quality of Service (e.g., decision making delay, alert generation delay, etc.). *We solicit papers and columns from both industrial and academic research communities.* SUBMISSION GUIDELINES ***************************** Submissions will be subject to the IEEE Cloud Computing Magazines' peer-review process. Articles should be at most 6,000 words, with a maximum of 15 references, and should be understandable to a broad audience of people interested in cloud computing, big data and related application areas. ¬ The writing style should be down to earth, practical, and original. Authors should not assume that the audience will have specialized experience in a particular sub field. All accepted articles will be edited according to the IEEE Computer Society style guide. Submit your papers to Manuscript Central at https://mc.manuscriptcentral.com/ccm-cs. If any questions please contact the guest editors. GUEST EDITORS ***************************** Dr. Rajiv Ranjan, CSIRO, Australia raj.ranjan(a)csiro.au Dr. Samee Khan, NDSU, USA samee.khan(a)ndsu.edu Prof. Joanna Kolodziej, CUT, Poland joanna.kolodziej68(a)gmail.com Prof. Albert Zomaya, Sydney University, Australia zomaya(a)it.usyd.edu.au

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UCC 2014 Call for Participation
by Ashiq Anjum 22 Oct '14

22 Oct '14

UCC 2014 Call for Participation -------------------- The IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014) will be held in London, UK on 8-11th December 2014 and all professionals working in the Cloud Computing field are urged to attend. UCC is the premier IEEE/ACM conference covering all areas related to Cloud Computing as a Utility. This will be the 7th successful running of the conference in a series that included events in Shanghai, China (Cloud 2009), Melbourne, Australia (Cloud 2010 & UCC 2011), Chennai, India (UCC 2010), Chicago, USA (UCC 2012) and Dresden, Germany (UCC 2013. The conference will include keynote speeches from industry and academic leaders, numerous workshops to help attendees learn from experiences of others and tutorial presentations arranged into concurrent streams. In addition there is a doctoral symposium, a cloud challenge competition and an industry specific stream of presentations. The acceptance rate for papers submitted to the conference is only 19% ensuring a high quality programme. The conference will held at an attractive London location just 15 minutes from Heathrow and convenient for tube and train connections. The Hilton London Paddington hotel is a high class venue offering excellent facilities as well as easy access to the sights and attractions of London. Keynote and plenary sessions ---------------------------- - Cloud Native Cost Optimization: Adrian Cockcroft, Battery Ventures (prev. Netflix, eBay, Sun) - A Few Control Issues in Warehouse-scale Computing: John Wilkes, Google - Rack-Scale Computers and the Cloud: Ant Rowstron, Microsoft - Joe Baguley, Chief Technology Officer, EMEA, VMware - Professor Yike Guo, Imperial College London - Actors in the Cloud: Supporting Security, Scalability and Availability , Professor Gul Agha, University of Illinois at Urbana-Champaign - Enabling Cloud Computing at Hyper-Scale: Dr. Kenji Takeda, Microsoft - Clinical Intelligence & Integration: Tackling Large Data Analytics in Real-Time, Oliver Vettel and Andreas Koop, Roche Panel Discussion: How adaptive should our infrastructure (networks, data centres etc.) be to support next generation Clouds? ----------------- - Alan Sill; Open Grid Forum (OGF) - Joe Baguley; VMWare - John Wilken; Google - Prof. Erik Elmroth; Umeå University (UMU) - Prof. Gul Agha; University of Illinois at Urbana-Champaign Tutorials --------- - Azure Machine Learning for Research, Kenji Takeda, Microsoft - Model-Driven Management of Multi-Cloud Applications, Danilo Ardagna - The Intercloud Architecture and Project, David R. Bernstein - Distributed Data Storage: From Dispersed Files to Stealth Databases, Josef Spillner, Johannes Müller, - Software Development in Cloud: An Experiential Study with CMS, Chandra Sekaran K, - Data Analysis with R, Shruti Kohli, Shruti Kohli - Microsoft Azure for Research, Kenji Takeda - Autonomic Clouds, Omer Rana and Manish Parashar, Omer F. Rana - Help Clinical Intelligence take the next step using state-of-the art in-memory analytics, Oliver Vettel and Andreas Koop - CRISTAL : Designing Traceable Cloud-based Systems, Richard McClatchey, Andrew Branson UCC 2014 Workshops ------------------ - International Symposium on Big Data Computing 2014 – BDC 2014 - 6th Cloud Control Workshop – CloudControl6 - Cloud Federation Management: Identity, Resources and Applications Workshop – CFM 2014 - Workshops on Standards and Pre-Standards Topics in Clouds, Big Data and Data Analytics – SCBDA 2014 - ITaaU Network+ Symposium – ITaaU 2014 - Clouds and eScience Applications Management Workshop – CloudAM 2014 - Crowdsourcing and Gamification in the Cloud Workshop – CGCloud 2014 - Re-computability in the Cloud Workshop – Re-computability 2014 - Advances in CC Legislation, Accountability, Security and Privacy Workshop – CLASP 2014 - Trust in Cloud Computing Workshop – IWTCC 2014 - Green Cloud Computing Workshop – GCC 2014 - Smart City Clouds: Technologies, Systems and Applications Workshop – SCCTSA 2014 - Cloud Automation, Intelligent Management and Scalability Workshop – CAIMS 2014 - Cyber-physical Cloud Computing Workshop – CPCC 2014 - Network Virtualization and SDN for Cloud Data Centres Workshop - Big Data, Intelligence Management and Analytics Workshop – BDIMA - Big Data and Social Networking Management and Security Workshop - Education in the Cloud Workshop – EC 2014 Cloud Challenge ---------------- Cloud Challenge is a competition where participants develop solutions for real-world problems by utilizing virtualization technologies and Cloud computing. UCC 2014 will have selected the following application after an intense review of the submitted proposals. - An Experimental Tool for Elasticity Management Through Prediction Mechanisms Bruno A. Rosa, Vinícius A. Frederico, Luiz F. Bittencourt, Marcelo B. Pereira and Kayo S. Hisatomi. - Optimizing Scientific Workflows in the Cloud: A Montage Example Qingye Jiang, Alberto Gutierrez, Young Choon Lee, Manuel Arenaz, Luke M. Leslie and Albert Y. Zomaya. - Low Cost Energy Forecasting for SmartGrids using StreamMine3G and Amazon EC2 André Martin, Andrey Brito and Christof Fetzer. - Energy Cloud: real-time cloud-native Energy Management System to monitor and analyse energy consumption in multiple industrial sites Hugo Sequeira, Paulo Carreira, Thomas Goldschmidt and Philipp Vorst. Doctoral Symposium ------------------ The goal of the Doctoral Symposium is to provide a supportive and shepherding environment in which PhD students can present their research proposal and attend UCC. Students will be able to discuss their research objectives, methods and approach and results at various stages of their research. The aim is to solicit feedback on their research from well-established researchers and attendees. We have selected the following papers for the UCC 2014 Doctoral Symposium. Re-engineering the Database Layer of Legacy Applications for Scalable Cloud Deployment D1. Martyn Ellison, Radu Calinescu and Richard Paige. Truesource: A True Performance For Hierarchical Cloud Monitoring D2. Adam Currie, Aaron McConnell, Gerard Parr, Sally McClean and Kashaf Khan. Sustainable Communications Infrastructures in the Cloud – Supporting the Information Economy D3. Conor McBay, Gerard Parr and Sally McClean. Secret sharing scheme for data confidentiality preserving in a public-private hybrid cloud storage approach D4. Butoi Alexandru and Nicolae Tomai. Scalable Analytic Models for Performance Efficiency in the Cloud D5. Awada Uchechukwu, Keqiu Li and Keqin Li. Virtualization Security using Mandatory Access Control and Virtual Machine Introspection D6. Thu Yein Win, Huaglory Tianfield and Quentin Mair. Energy-aware Virtual Machine Consolidation for Cloud Data Centers D7. Dabiah Alboaneen, Bernardi Pranggono and Huaglory Tianfield. SLA Assured Brokering (SAB) and CSP Certification in Cloud Computing D8. Shyam S. Wagle. CloudAdvisor – A Framework Towards Assessing Trustworthiness and Transparency of Cloud Providers D9. Mohammed Almanea. UCC2014 Industry Session Overview --------------------------------- The aim of this day is to share a range of stimulating perspectives on what we understand by the digital economy. Already we have seen a disruptive change in the way that infrastructure hosts, service providers and users are finding new ways to do business. Whilst the flexibility and scalability has radically changed how business organisations can emerge and grow, there are many further questions to be identified and addressed about governance, regulation and even reporting. Notable speakers are participating from VMWare, Microsoft Research and Google. Venue ------ The Hilton London Paddington hotel is conveniently located 15 minutes from Heathrow Airport and connected by footbridge to Paddington Station. With four London Underground lines—Circle, Hammersmith & City, District, and Bakerloo—linked to the station, this is one of London’s best connected hotels. Over 150 years of history have made this hotel a legend. It’s located in the heart of the city and is within walking distance of London’s premier attractions. This grand Victorian hotel offers a full range of modern facilities. Catch up with work in the business center or keep in touch with colleagues in the Executive Lounge. Enjoy the diverse menu and continental influences of the celebrated Brasserie Restaurant. The chic Steam Bar provides the perfect place for dinner or a late night drink, with sleek decor, a contemporary feel, and a relaxed atmosphere. UCC 2014 Registration --------------------- To register please visit: http://www.derby.ac.uk/enterprisecentre/events/ucc/book/ Early Bird Registration Deadline: 29 October 2014 If you have any questions about the conference registration then please contact Jo Atkinson +44 (0)1332 597842 or email conference(a)derby.ac.uk

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CFP: IEEE TETC SI on "Methods and Techniques for Processing Streaming Big Data in Datacentre Clouds"
by DEEPAK PUTHAL 19 Oct '14

19 Oct '14

[Apologies if you receive multiple copies of this message] *Call for papers:* IEEE Transactions on Emerging Topics in Computing Special Issue on "Methods and Techniques for Processing Streaming Big Data in Datacentre Clouds" http://www.computer.org/cms/Computer.org/transactions/cfps/cfp_tetcsi_mtpsb… IMPORTANT DATES ***************************** Submission Deadline: June 1 2015 Reviews Completed: September 1 2015 Major Revisions Due (if Needed): October 1 2015 Reviews of Revisions Completed (if Needed): November 1 2015 Minor Revisions Due (if Needed): December 1 2015 Notification of Final Acceptance: February 1 2016 Publication Materials for Final Manuscripts Due: March 1 2016 Publication date: Second Issue 2016 (June Issue) DETAILS ABOUT THE ISSUE ***************************** Internet of Things (IoT) is an emerging paradigm that has gained a significant interest from both academia and industry. IoT is a part of Future Internet and comprises many billions of Internet connected Objects (ICOs) or 'things' where things can sense, communicate, compute and potentially actuate as well as have intelligence, multi-modal interfaces, physical/ virtual identities and attributes. ICOs can include sensors, RFIDs, social media, actuators (such as machines/equipments fitted with sensors and deployed for mining, oil exploration, and manufacturing operations) as well as lab instruments (e.g., high energy physics synchrotron), and smart consumer appliances (smart TV, smart phone, etc.). This IoT vision has recently given rise to the notion of IoT big data applications that are capable of producing billions of data stream and tens of years of historical data to provide the knowledge required to support timely decision making. Some of the emerging IoT big data applications, e.g. smart energy grids, syndromic bio-surveillance, environmental monitoring, emergency situation awareness, digital agriculture, and smart manufacturing, need to process and manage massive, streaming, and multi-dimensional (from multiple sources) data from geographically distributed data sources. Despite recent technological advances of the data-intensive computing paradigms (e.g. the MapReduce paradigm, workflow technologies, stream processing engines, distributed machine learning frameworks) and datacentre clouds, large-scale reliable system-level software for IoT big data applications are yet to become commonplace. As new diverse IoT applications begin to emerge, there is a need for optimized techniques to distribute processing of the streaming data produced by such applications across multiple datacentres that combine multiple, independent, and geographically distributed software and hardware resources. However, the capability of existing data-intensive computing paradigms is limited in many important aspects such as: (i) they can only process data on compute and storage resources within a centralised local area network, e.g., a single cluster within a datacentre. This leads to unsatisfied Quality of Service (QoS) in terms of timeliness of decision making, resource availability, data availability, etc. as application demands increase; (ii) they do not provide mechanisms to seamlessly integrate data spread across multiple distributed heterogeneous data sources (ICOs); (iii) lack support for rapid formulation of intuitive queries over streaming data based on general purpose concepts, vocabularies and data discovery; and (iv) they do not provide any decision making support for selecting optimal data mining and machine algorithms, data application programming frameworks, and NoSQL database systems based on nature of the big data (volume, variety, and velocity). Furthermore, adoption of existing datacentre cloud platform for hosting IoT applications is yet to be realised due to lack of techniques and software frameworks that can guarantee QoS under uncertain big data application behaviours (data arrival rate, number of data sources, decision making urgency, etc.), unpredictable datacentre resource conditions (failures, availability, malfunction, etc.) and capacity demands (bandwidth, memory, storage, and CPU cycles). It is clear that existing data intensive computing paradigms and related datacentre cloud resource provisioning techniques fall short of the IoT big data challenge or do not exist. Topics of interest include, but are not limited to: - Programming abstractions for extedmding existing data intensive computing paradigms to multiple datacentres - Technical foundations for selection of data mining and machine learning algorithms Streaming data query and indexing systems based on semantic web concepts - IoT big data application specific ontology models for capturing heterogeneous data from multiple sources - Decentralised data flow optimisation and management techniques across multiple datacentres - Techniques for petabyte efficient no-SQL query-based IoT big data processing - QoS optimized parallel data analytic techniques beyond traditional relational database systems - Knowledge driven, predictive datacentre resource allocation and provisioning for streaming data - Innovative IoT big data application use cases - Techniques for providing a secure end-to-end connection between users and data sources SUBMISSION GUIDELINES ***************************** Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. As an author, you are responsible for understanding and adhering to our submission guidelines. You can access them at the IEEE Computer Society web site, www.computer.org. TETC is the newest Transactions of the IEEE Computer Society with Open Access only. Please submit your paper to Manuscript Central at https://mc.manuscriptcentral.com/tetc-cs. Please address all other correspondence regarding this special Section to Lead Guest Editor *Dr. Rajiv Ranjan* GUEST EDITORS ***************************** *Dr. Rajiv Ranjan - Corresponding Guest Editor * Senior Research Scientist & Julius Fellow, CSIRO Computational Informatics, Australia Email: raj.ranjan(a)csiro.au *Prof. Lizhe Wang * Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Email:Lizhe.wang@gmail.com *Dr. Jie Tao * Steinbuch Centre for Computing (SCC) Karlsruhe Institute of Technology Email: jie.tao(a)kit.edu *Prof. Albert Zomaya * Australian Research Council Professorial Fellow The University of Sydney, NSW 2006, Australia Email: albert.zomaya(a)sydney.edu.au *Dr. Prem Prakash Jayaraman * Postdoctoral Research Scientist CSIRO Computational Informatics, Australia Email: prem.jararaman(a)csiro.au *Prof. Dimitrios Georgakopoulos * CSIRO Computational Informatics Email: dimitrios.georgakopoulos(a)csiro.au

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Final Call for Demo and Poster - SustainCom2014 (Sustainable Computing and Communication), Dec. 2014, Sydney, Australia
by Jesson Butt 03 Oct '14

03 Oct '14

Final Call for Poster and Demo: The 4th IEEE International Conference on Sustainable Computing and Communication (SustainCom2014), 3-5 December 2014, Sydney, Australia. Website: http://www.swinflow.org/confs/susc2014/demo.htm Important Dates: Deadline for proceedings published posters/demos with display at conference: 5 October 2014 Notification of Acceptance: 7 October 2014 Final versions of proceeding published posters/demos: 15 October 2014 Deadline for web published posters/demos with display at conference: 30 October 2014 Submissions: Please email your posters/demos to confs.aus(a)gmail.com with the email subject as "SustainCom 2014 demo poster submission". Two types of posters and demos are welcome. Both of them will be displayed during the conference. 1. Proceedings published posters and demos: Submission is a 2-page short paper describing the post/demo content, research, relevance and importance to Sustainable Computing and Communication community. If accepted, the 2-page short paper will be published in the main conference proceedings. 2. Web published posters and demos: Submission is a 1-page extended abstract. Such posters/demos will not be included in the conference proceedings, but will be published on the conference website. --------------- Participants are invited to submit posters and research demos to SustainCom2014. SustainCom2014 (Sustainable Computing and Communication) is created to provide a prime international forum for both researchers, industry practitioners and environment experts to exchange the latest fundamental advances in the state of the art and practice of Sustainable Computing and Communication as well as joint-venture and synergic research and development across various related areas. Topics of interest for posters and demos include, but not limited to: *Track 1: Sustainable Computing and Communications* · Theoretical Aspect of Energy, Power, and Temperature · Algorithms for Reduced Power, Energy and Heat · Power-aware Design of Software, Middleware and Systems · Power-aware Networking · Real-time systems · Power-efficient Computing Architectures · Efficient Circuit Design for Energy Harvesting · Power Management in Memory, Disk, Storage and other peripheral Devices · Configurable and Renewable Energy · Low Power Electronics · Energy Efficient Network Hardware · Energy-Efficient Communication Protocols · Low power Communication Technologies · Embedded Systems, ASICs and FPGSs · Power Leakage and Dissipation · Code Profiling and Transformation for Power Management · Power-aware Scheduling and Resource Allocation · Energy-efficient Wireless/Mobile/Sensor Systems and Networks · Security and Privacy · Wearable Computing · Ecological Monitoring, Analytics and Visualization · Green Communications Architectures and Frameworks · Green Data Centres and Enterprise Computing · QoS and Green Computing · Integration of Smart Appliances · Green Software Engineering Methodologies and Tools · Virtualization Impact for Green Computing · Case Studies on Green Computing and Communications · Green Computing Models, Methodologies and Paradigms *Track 2: Sustainable Systems and Technologies* · Sustainable Architectures for Smart Grids · Smart Grid Security, Reliability and Load Balancing · Energy Management Systems (EMS) · Economic Models of Energy Efficiency · Energy Monitoring, Profiling and Measurement · Renewable Energy Systems and Harvesting Energy (e.g. Solar, Wind) · Greener Systems Planning and Design · Virtualization for Reducing Power Consumption · Evolutionary Algorithms in Energy Applications · Scheduling and Switching Power Supplies · Optimization Techniques for Efficient Energy Consumption · Reliability of Power-aware Computers · Runtime Systems that Assist in Power Saving · Models for Collective Optimization of Power and Performance · Monitoring Tools for Power and Performance of Parallel and Distributed Systems · Use of Sensors for Environmental Monitoring · Smart Control for Eco-friendly Buildings *Track 3: Sustainable Methodologies and Applications* · Smart City (Sustainable Design, Models, Frameworks, Policies and Strategies) · Smart City (Sustainable Integration and Optimization of Comprehensive Resources and Information Flows - energy, emissions, people, goods and services) · Sustainable Energy Generation, Transmission, Distribution and Delivery · Smart Buildings and Urban Infrastructures · Smart Grid for Energy Generation, Transmission, Monitoring and Management · Open Government, Open Data Policies, Urban-Scale Data Sharing, Information Security and Privacy · Smart Logistics and Sustainable Supply Chain Management · Smart People, Smart Living and Smart Citizen Engagement · Intelligent Transport Systems and Traffic Management · Smart Energy-efficient Sensor Networks and Internet of Things · Smart Home, Smart Healthcare and Ageing Population support · e-Mobility, e-Work and e-Business Applications · Sustainable Urban Mobility and Smart Vehicle Management · Smart Resource Support and Demand Management and Optimization · User-Centred Services and Systems · Open Big City Data, Cloud Computing, Internet-Enabled Infrastructures and Services for Sustainability · Innovation Labs, Experimental Test-Beds and Simulation Environments · Mechanisms for Motivating Behavior Change · Advanced Data Analytics for Smart Cities · IS Architecture Design and Platform for Sustainability · Case Studies and Innovative Applications for Sustainability Chairs: Chang Liu, University of Technology Sydney, Australia Jesson Butt, University of Technology Sydney, Australia

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Final Call for Demo and Poster - BDCloud2014 (Big Data and Cloud Computing), 3-5 Dec. 2014, Sydney, Australia
by Chang Liu 03 Oct '14

03 Oct '14

Final Call for Poster and Demo: The 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2014), 3-5 December 2014, Sydney, Australia. Website: http://www.swinflow.org/confs/bdcloud2014/demo.htm <http://www.swinflow.org/confs/bdds2013/demo.htm> Important Dates: Deadline for proceedings published posters/demos with display at conference: 5 October 2014 Notification of Acceptance: 7 October 2014 Final versions of proceeding published posters/demos: 15 October 2014 Deadline for web published posters/demos with display at conference: 30 October 2014 Submissions: Please email your posters/demos to confs.aus(a)gmail.com with the email subject as "BDCloud 2014 demo poster submission". Two types of posters and demos are welcome. Both of them will be displayed during the conference. 1. Proceedings published posters and demos: Submission is a 2-page short paper describing the post/demo content, research, relevance and importance to Big Data and Cloud Computing community. If accepted, the 2-page short paper will be published in the main conference proceedings. 2. Web published posters and demos: Submission is a 1-page extended abstract. Such posters/demos will not be included in the conference proceedings, but will be published on the conference website. --------------- Participants are invited to submit posters and research demos to BDCloud2014. BDCloud2014 (Big Data and Cloud Computing) is created to provide a prime international forum for both researchers, industry practitioners and environment experts to exchange the latest fundamental advances in the state of the art and practice of Big Data and Cloud Computing as well as joint-venture and synergic research and development across various related areas. Topics of interest for posters and demos include, but not limited to: · Fundamentals of cloud computing · Architectural cloud models · Programming cloud models · Provisioning/pricing cloud models · Data storage and computation in cloud computing · Resource and large-scale job scheduling in cloud computing · Security, privacy, trust, risk in cloud and big data · Fault tolerance and reliability in cloud computing · Access control to cloud computing · Resource virtualisation · Monitoring and auditing in cloud · Scalable and elastic cloud services · Social computing and impacts on the cloud · Innovative HCI and touch-screen models and technologies to cloud · Mobile commerce, handheld commerce and e-markets on cloud · Intelligent/agent-based cloud computing · Migration of business applications to cloud · Energy efficient cloud architecture · Energy aware data storage and computation in cloud computing · Energy aware scheduling, monitoring, auditing in cloud · Green Cloud · Cloud use case studies · Big Data theory, applications and challenges · Big Data mining and analytics on Cloud · Big Data Infrastructure, MapReduce and Cloud Computing · Big Data visualization · Large data stream, incremental datasets on cloud · Distributed and federated datasets · NoSQL data stores and DB scalability · Big Data sharing, security, privacy and trust · Big Data placement, scheduling, and optimization · Distributed file systems for Big Data · Big Data processing, resource scheduling and SLA on Cloud · Performance characterization, evaluation and optimization · Simulation and debugging of Big Data systems · Volume, Velocity, Variety, Value and Veracity of Big Data · Storage and computation management of Big Data · Large-scale workflow management in Big Data · Data management and distributed data systems · Big data applications Chairs: Nazanin Borhan, University of Technology Sydney, Australia Rajiv Ranjan, CSIRO, Australia

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CFP: IEEE Cloud Computing Magazine SI on "Cloud-based Smart Evacuation Systems for Emergency Management"
by DEEPAK PUTHAL 01 Oct '14

01 Oct '14

[Apologies if you receive multiple copies of this message] *Call for papers:* IEEE Cloud Computing Magazine Special Issue on "Cloud-based Smart Evacuation Systems for Emergency Management" IMPORTANT DATES ***************************** Submissions Due: October 30, 2014 (Extended) DETAILS ABOUT THE ISSUE ***************************** Natural and man-made emergencies, such as tsunamis, earthquakes, floods, and epidemics pose a significant threat to human societies. The lessons learned from the growing number of recent emergencies, such as Japan's earthquake (2011), Katrina hurricane (2005), Colorado flood (2013), Queensland flooding in Australia (2010), Haiti earthquake (2010), has put impetus on the development of emergency evacuation planning systems. Well-coordinated emergency management activities that involves guiding of citizens out of danger areas, placement of medical team to the most appropriate locations, and real-time planning of evacuation routes before and after a disaster play a significant role in saving lives, protecting critical infrastructures, and minimizing causalities. For example, due to lack of proper evacuation planning system, 25 people lost their lives in the first 30 minutes while attempting to flee their Oakland Hills neighborhood in California during a wildfire in 1991. The management of evacuation activities such as guiding people out of dangerous areas and coordinating rescue teams is dependent on the availability of historical data as well as on the effective real-time integration and utilisation of data streaming from multiple sources including on-site sensors, social media feeds and messaging on mobile devices (i.e. text messaging, location, etc.). However, there is a pitfall; the growing ubiquity of on-site sensors, social media and mobile devices means there are more sources of outbound traffic, which ultimately results in the creation of a tsunami of data, beginning shortly after the onset of emergency events. This data tsunami phenomenon is being described as a new grand challenge in computing: The 'Big Data' problem. Over 20 million tweets posted during Hurricane Sandy (2012) lead to an instance of the Big Data problem. During the 2010 Haiti earthquake, text messaging via mobile phones and Twitter made headlines as being crucial for disaster response, but only some 100,000 messages were actually processed by government agencies due to lack of automated and scalable data processing infrastructure. Design and development of evacuation systems for emergency management requires a complete ICT (Information and Communication Technology) paradigm shift in a way that systems do not get overwhelmed by incoming data volume, data rate, data sources, and data types. New cloud-based techniques are needed that can extract meaningful information from large-scaled data in real-time, while avoiding unnecessary data transmission or storage. Future initiative should focus on developing cloud-based techniques to improve the performance of multiple data stream processing system while balancing computational complexity and Quality of Service (e.g., decision making delay, alert generation delay, etc.). *We solicit papers and columns from both industrial and academic research communities.* SUBMISSION GUIDELINES ***************************** Submissions will be subject to the IEEE Cloud Computing Magazines' peer-review process. Articles should be at most 6,000 words, with a maximum of 15 references, and should be understandable to a broad audience of people interested in cloud computing, big data and related application areas. ¬ The writing style should be down to earth, practical, and original. Authors should not assume that the audience will have specialized experience in a particular sub field. All accepted articles will be edited according to the IEEE Computer Society style guide. Submit your papers to Manuscript Central at https://mc.manuscriptcentral.com/ccm-cs. If any questions please contact the guest editors. GUEST EDITORS ***************************** Dr. Rajiv Ranjan, CSIRO, Australia raj.ranjan(a)csiro.au Dr. Samee Khan, NDSU, USA samee.khan(a)ndsu.edu Prof. Joanna Kolodziej, CUT, Poland joanna.kolodziej68(a)gmail.com Prof. Albert Zomaya, Sydney University, Australia zomaya(a)it.usyd.edu.au

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