Hello
Monday December 8 | |||||||
GW1 | GW2 | Redstar | Kingfisher | Hobart | Campanula | King George 5 |
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09:00 – 09:30 | Opening Ceremony | ||||||
09:30 – 10:30 | Keynote: Cloud Native Cost Optimization, Adrian Cockcroft | ||||||
10:30 – 10:50 | Coffee Break | ||||||
10:50 – 13:00 |
[R] Greening Geo-Distributed Data Centers by Joint Optimization of Request Routing and Virtual Machine Scheduling [R] A Hybrid Optimization Model for Green Cloud Computing, [S] Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Cloudsm [R] Evaluating Energy Efficiency of Gigabit Ethernet and Infiniband Software Stacks in Data Centres, [R] Fostering Energy-Awareness in Simulations Behind Scientific Workflow Management Systems Gabor Kecskemeti |
Big Data Computing | Cloud Control Workshop | Cloudsourcing and Gamification in the Cloud | Tutorial: Help Clinical Intelligence take the next step using state-of-the art in-memory analytics, Oliver Vettel and Andreas Koop |
Cloud Federation Management | Doctoral Symposium |
13:00 – 13:45 | Lunch Break | ||||||
13:45 – 15:30 |
[S] Priority-based Resource Scheduling in Distributed Stream Processing Systems for Big Data Applications [R] Fostering Energy-Awareness in Simulations Behind Scientific Workflow Management Systems [R] Traffic Monitoring Using Video Analytics in Clouds [S] Scheduling Multiple Divisible Loads in a Multi-cloud System [R] Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations |
Big Data Computing | Cloud Control Workshop | Cloudsourcing and Gamification in the Cloud | Tutorial: CRISTAL : Designing Traceable Cloud-based Systems, Richard McClatchey, Andrew Branson |
Network Virtualization and SDN for Cloud Data Centres | Doctoral Symposium |
15:30 – 15:50 | Coffee Break | ||||||
15:50 – 17:30 |
[R] Standards-based DevOps Automation and Integration Using TOSCA [S] AMAD: Resource Consumption Profile-Aware Attack Detection in IaaS Cloud [R] Towards Benchmarking Modern Distributed Stream Computing Frameworks [R] An Adaptive Distributed Simulator for Cloud and MapReduce Algorithms and Architectures |
Big Data Computing | Cloud Control Workshop | Education in Cloud | Tutorial: CRISTAL : Designing Traceable Cloud-based Systems, Richard McClatchey, Andrew Branson |
Network Virtualization and SDN for Cloud Data Centres | Doctoral Symposium |
17:30 – 19:00 | Reception |
Tuesday December 9 | |||||||
GW1 | GW2 | Redstar | Kingfisher | Hobart | Campanula | King George 5 |
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09:00 – 10:00 | Keynote: Medical Big Data on the Cloud : the eTRIKS mission, Yike Guo, Imperial College London | ||||||
10:00 – 10:20 | Coffee Break | ||||||
10:20 – 13:00 |
[R] A Methodology for Online Consolidation of Tasks Through More Accurate Resource Estimations [R] Learning Based Distributed Orchestration of Stochastic Discrete Event Simulations [R] Online Algorithms for Location-Aware Task Offloading in Two-Tiered Mobile Cloud Environments [S] Template Embedding: Application architecture based distributed cloud resource allocation [R] Reducing Costs in Cloud Application Execution Using Redundancy-based Scheduling [R] Enabling Health Monitoring as a Service in the Cloud |
Big Data Computing | Clouds and eScience Applications Management | Cloud Automation, Intelligent Management and Scalability | Tutorial: Autonomic Clouds, Omer Rana and Manish Parashar, Omer F. Rana |
Big Data, Intelligence Management and Analytics | Cloud Challenge |
13:00 – 13:45 | Lunch Break | ||||||
13:45 – 15:30 |
[S] Proactive Workload Forecasting Model with Dynamic Resource Allocation for Modern Internet Application [R] In-the-know: Recommendation Framework for City-supported Hybrid Cloud Services [R] On the provision of SaaS-level Quality of Service within Heterogeneous Private Clouds [S] Challenges in Achieving IaaS Cloud Interoperability across Multiple Cloud [R] Workload Patterns for Quality-driven Dynamic Cloud Service Configuration and Auto-Scaling |
Big Data Computing | Clouds and eScience Applications Management |
Cloud Automation, Intelligent Management and Scalability |
Tutorial: Azure Machine Learning for Research, Kenji Takeda |
Big Data, Intelligence Management and Analytics |
Cloud Challenge |
15:30 – 15:50 | Coffee Break | ||||||
15:50 – 18:00 |
[R] Design and Implementation of Middleware for Cloud Disaster Recovery via Virtual Machine Migration Management [S] An Overview of Cloud Computing Adoption Challenges in the Norwegian Context [R] The Continuity of Out-of-band Remote Management Across Virtual Machine Migration in Clouds [R] Transparent Throughput Elasticity for IaaS Cloud Storage using Guest-side Block-level Caching |
Big Data Computing | Recomputability | Cloud Automation, Intelligent Management and Scalability |
Tutorial: Azure Machine Learning for Research, Kenji Takeda |
Big Data, Intelligence Management and Analytics |
Poster Session |
Wednesday December 10 | |||||||
GW1 | GW2 | Redstar | Kingfisher | Hobart | Campanula | King George 5 |
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09:00 – 10:00 | Keynote: Enabling Cloud Computing at Hyper-Scale, Kenji Takeda, Microsoft | ||||||
10:00 – 10:20 | Coffee Break | ||||||
10:20 – 13:00 |
[R] A Study of Replica Reconstruction Schemes for Multi-rack HDFS Clusters [R] Distributed Storage and Service Discovery for Heterogeneous Community Network Clouds [R] Filtering Security Alerts for the Analysis of a Production SaaS Cloud [S]SLAC: A Formal Service-Level-Agreement Language for Cloud Computing [R] Role-based Templates for Cloud Monitoring [R] A Cloud-Oriented Services Self-Management Approach Based on Multi-Agent |
IT as a Utility | Green Cloud Computing | Big Data and Social Networking Management and Security |
Tutorial: The Intercloud Architecture and Project, David R. Bernstein |
Trust in Cloud Computing | Tutorial: Distributed Data Storage: From Dispersed Files to Stealth Databases, Josef Spillner, Johannes Müller |
13:00 – 13:45 | Lunch Break | ||||||
13:45 – 15:30 |
[S] Towards a Mobile Ad-hoc Cloud Management Platform Ahmed [R] Workload-Aware Incremental Repartitioning of Shared-Nothing Distributed Databases for Scalable Cloud Applications [R] Tossing NoSQL-Databases out to Public Clouds [S] Applying the Prometheus methodology for an Internet of Things architecture [R] Workflow Partitioning and Deployment on the Cloud using Orchestra |
IT as a Utility | Green Cloud Computing | Big Data and Social Networking Management and Security |
Tutorial: Data Analysis with R, Shruti Kohli |
Trust in Cloud Computing |
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15:30-15:45 | Coffee Break | ||||||
15:45-16:30 | Keynote: Infrastructure As Code, Joe Baguley, Chief Technology Officer, EMEA, VMware | ||||||
16:30-18:00 | Panel Discussion: How adaptive should our infrastructure be to support next generation Clouds? | ||||||
19:00 -21:00 | Conference Dinner |
Thursday December 11 | |||||||
GW1 | GW2 | Redstar | Kingfisher | Hobart | Campanula | King George 5 |
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09:00 – 10:00 | Keynote: Actors in the Cloud: Supporting Security, Scalability and Availability, Gul Agha | ||||||
10:00 – 10:20 | Coffee Break | ||||||
10:20 – 13:00 |
[R] CloudMF: Applying MDE to Tame the Complexity of Managing Multi-Cloud Applications [R] Development and Evaluation of a Multi-tenant Service Middleware PaaS Solution [R] Metaheuristics-based Planning and Optimization for SLA-aware Resource Management in PaaS Clouds [S] PICav: Precise, Iterative and Complement-based Cloud Storage Availability Calculation Scheme [R] Dynamic Traffic Management for Interactive Cloud Services |
Industry Session | Plugfest: Cloud Interoperability | Advances in CC Legislation, Accountability, Security and Privacy Workshop |
Tutorial: Model-Driven Management of Multi-Cloud Applications, Danilo Ardagna |
Smart City Clouds Technologies, Systems and Applications |
EGIÂ Workshop |
13:00 – 13:45 | Lunch Break | ||||||
13:45 – 15:30 |
[S] Pre-Processing Methods of Data Mining [R] Performance Estimation for Business Workflows on Public Cloud Offerings using Probabilistic [R] Online QoS Modeling in the Cloud: A Hybrid and Adaptive Multi-Learners Approach [S] Adaptive Downtime for Live Migration of Virtual Machines [R] A Utility Model for Volunteered Service Composition |
Industry Session | Plugfest: Cloud Interoperability | Advances in CC Legislation, Accountability, Security and Privacy Workshop |
Tutorial: Microsoft Azure for Research, Kenji Takeda |
Smart City Clouds Technologies, Systems and Applications |
EGIÂ Workshop |
15:30 – 15:50 | Coffee Break | ||||||
15:50 – 17:00 |
[S] Coordination-aware Elasticity [R] Detecting Discontinuities in Large Scale Systems [S] Loose-coupled Benchmark Framework Automates Performance Modeling on |
Industry Session | Plugfest: Cloud Interoperability | Advances in CC Legislation, Accountability, Security and Privacy Workshop |
Tutorial: Microsoft Azure for Research, Kenji Takeda |
Smart City Clouds Technologies, Systems and Applications |
EGIÂ Workshop |
17:00 | Closing Ceremony |