Workshop on Cloud Computing Systems, Networks, and Applications

Friday, 12 June 2015 • 09:00 – 18:00

WS-05: Cloud Computing Systems, Networks, and Applications (CCSNA)

Organizer: Chuan Heng Foh (University of Surrey, UK)

Cloud Computing, as well as Cloud-inspired business models, enable on-demand access to a shared pool of resources, namely computing, storage, networks, services, and applications. As the Cloud infrastructure aims at offering various IT resources as services, requirements of Cloud applications vary based on the resources which are requested as services. Thus, the resources may refer to heavy computation resources, massive storage resources, high-capacity network resources and others. The heterogeneity of cloud applications leads to the challenge of holistic design of a robust Cloud system which can oversee and handle the diverse needs of numerous types of applications. On the other hand, these challenges enforce cooperation of various players in the Cloud system, each of which focuses on a different segment such as network, computing, applications, and systems. This workshop is a venue scientists, researchers, practitioners and research students to discuss a wide range of technologies related to Cloud Computing.

Welcome Session

A short introduction of the workshop will be given by the organizers.

Keynote-1: Information Flow Control for Cloud and Internet of Things

Because "security concerns hinder cloud adoption", cloud design focus has so far been on strong isolation between tenants. Inter-tenant interactions are not foreseen, and finer-grain protection e.g. between end-users of services, is left to the tenants.Requirements for data sharing between related applications are already emerging, and will increase, as cloud services become part of the Internet of Things (IoT).The keynote will outline our recent work on Information Flow Control (IFC) for cloud computing. IFC extends traditional access controls with continuous, data-centric, application-independent, dataflow control. IFC makes fine-grained, protected data sharing a possibility, rather than the current "all or nothing" approach.We have implemented IFC in a Linux Security Module, suitable for cloud deployment. Work is in progress on integrating IFC with middleware for IoT.

Performance 1

The session covers cloud computing research works with focus on energy efficiency.

Energy-Budget-Compliant Cloud Video Delivery to Mobile Devices: Mohammad Hosseini (University of Illinois at Urbana-Champaign & Simon Fraser University, USA); Anduo Wang and Seyed Rasoul Etesami (University of Illinois at Urbana-Champaign, USA)

pp. 9850-9855
Energy-Saving Adaptive Computing and Traffic Engineering for Real-Time-Service Data Centers: Mohammad Shojafar (Sapienza University of Rome, Italy); Nicola Cordeschi (''Sapienza'' University of Rome, Italy); Danilo Amendola and Enzo Baccarelli (Sapienza University of Rome, Italy)

pp. 9856-9862
Towards An Interoperable Energy Efficient Cloud Computing Architecture - Practice & Experience: Django Armstrong, Richard Kavanagh and Karim Djemame (University of Leeds, United Kingdom)

pp. 9863-9868

Data Center and Cloud Networks

The session covers research works focusing on cloud networks and storage.

Virtual Concatenation-based Elastic Network Embedding for Inter-cloud-data-center Networks: Cunqian Yu, Weigang Hou, Weijing Qi and Lei Guo (Northeastern University, P.R. China)

pp. 9869-9875
Efficient and Secure Data Forwarding for Erasure-Code-Based Cloud Storage: Jian Liu, Kun Huang, Hong Rong, Huimei Wang and Ming Xian (National University of Defense Technology, P.R. China)

pp. 9876-9882
Controlling TCP Incast Congestion in Data Centre Networks: Lotfi Mhamdi and Akintomide Adesanmi (University of Leeds, United Kingdom)

pp. 9883-9888
A Utility-based Resource Allocation Scheme in Cloud-assisted Vehicular Network Architecture: Hanlin Meng (Beijing University of Posts and Telecommunication, P.R. China); Kan Zheng (Beijing University of Posts&Telecommunications, P.R. China); Periklis Chatzimisios (Alexander TEI of Thessaloniki, Greece); Hui Zhao (Beijing University of Posts and Telecommunications, P.R. China); Lin Ma (Beijing University of Posts&Telecommunications, P.R. China)

pp. 9889-9894
Joint Content-Resource Allocation in Software Defined Virtual CDNs: Jaime Llorca (Bell Labs, Alcatel-Lucent, USA); Claudio Sterle (Universita di Napoli, Italy); Antonia Tulino (Bell Labs, USA); Nakjung Choi (Bell-Labs, Alcatel-Lucent, Korea); Antonio Sforza and Annunziata Esposito Amideo (Universita di Napoli, Italy)

pp. 9895-9900
Load Balancing in LTE Mobile Networks with Information-Centric Networking: Andre Gomes and Torsten Ingo Braun (University of Bern, Switzerland)

pp. 9901-9907
Evaluation of Data-Center Architectures for Virtualized Network Functions: Sandra Herker, Xueli An and Wolfgang Kiess (DOCOMO Euro-Labs, Germany); Andreas Kirstaedter (University of Stuttgart, Germany)

pp. 9908-9914

Keynote-2: Addressing the Big Data challenge posed by the world's largest telescope

In this talk, I will begin by giving a brief overview of the upcoming Square Kilometre Array radio telescope and the scientific questions it aims to answer. Following this I will give an overview of a basic signal processing pipeline used to detect Pulsars and Fast Radio Bursts. Using a discussion focusing on the vast data rates associated with such observations I will show that the storage of data produced by the SKA is not feasible. This will then be used as a motivation for real-time Big Data processing. I will introduce the Astro-Accelerate Project which focuses on using many-core technologies such as GPUs, FPGAs and Intel's Xeon-Phi to enable real-time digital signal processing for world leading radio-telescopes. I will present two case studies from this project demonstrating how these large data streams can be processed in real-time using computational accelerators. I will conclude by comparing current results from CPUs, FPGAs, Xeon-Phi and NVIDIA GPUs.

Panel Discussion on Recent Cloud Computing Research

We shall discuss some recent cloud computing research in this session.

Cloud Services and Applications

The session covers research on workload management, sensing services in IoT Cloud, and data center architecture for NFV.

General Workload Manager: a Task Manager as a Service: Guillermo Indalecio (Universidad de Santiago de Compostela, Spain); Fernando Gomez-Folgar (Centro Singular de Investigación en Tecnoloxias da Informacion & University of Santiago de Compostela, Spain); Antonio Garcia-Loureiro (Centro Singular de Investigación en Tecnoloxias da Informacion, Spain)

pp. 9915-9920
Sensing Services in Cloud-Centric Internet of Things: A Survey, taxonomy and challenges: Burak Kantarci (Clarkson University, USA); Hussein T Mouftah (University of Ottawa, Canada)

pp. 9921-9926

System Design

The session covers research issues related to design including software defined security framework, novel network architecture, and NFV-based WSNs.

SDSecurity: A Software Defined Security Experimental Framework: Ala’ Darabseh, Mahmoud Al-Ayyoub and Yaser Jararweh (Jordan University of Science and Technology, Jordan); Elhadj Benkhelifa (IEEE, United Kingdom); Mladen Vouk (North Carolina State University, USA); Andrew J Rindos (IBM, USA)

pp. 9927-9932
HyperFlatnet: A Novel Network Architecture For Data Centers: Zina Chkirbene and Sebti Foufou (Qatar University, Qatar); Mounir Hamdi (Hong Kong University of Science and Technology, P.R. China); Ridha Hamila (Department of Electrical Engineering & Qatar University, Qatar)

pp. 9933-9938
NFV Based Gateways for Virtualized Wireless Sensor Networks: A Case Study: Carla Mouradian, Tonmoy Saha, Jagruti Sahoo and Roch Glitho (Concordia University, Canada); Paul Polakos (CISCO Systems, USA); Monique Morrow (Cisco Systems, Switzerland)

pp. 9939-9944

Performance 2

This interactive session covers various performance issues in clouds.

Double Auction Mechanism for Request Outsourcing in Cloud Federation: Ling Tang (Nanjing University of Science and Technology, P.R. China); Hao Chen (Huawei Technologies Co., Ltd., P.R. China)

pp. 9945-9950
Learning from Cloud Latency Measurements: Pavol Mulinka and Lukas Kencl (Czech Technical University in Prague, Czech Republic)

pp. 9951-9957
Profiling Temporal Event Behavior for Demand Prediction in Cloud Application Performance: Yeali S. Sun and Yu-Feng Chen (National Taiwan University, Taiwan); Meng Chang Chen (Academia Sinica, Taiwan)

pp. 9958-9964
Rating Prediction using Category Weight Factorization Machine in Bigdata Environment: Yu Zhao and Khalil Mansouri (University of Science and Technology Beijing, P.R. China); Yang Yang (University of Science and Technology, P.R. China); Zhenqiang Mi (University of Science and Technology Beijing, P.R. China)

pp. 9965-9969
Elastic Provisioning of Virtual Hadoop Clusters in OpenStack-based Clouds: Luca Foschini (University of Bologna, Italy); Antonio Corradi (University of Bologna & CIRI ICT, Italy); Valerio Pipolo and Alessandro Pernafini (University of Bologna, Italy)

pp. 9970-9976
Latency-Adaptive Positioning of Nano Data Centers for Peer-to-Peer Communication based on Clustering: Ananda Maiti, Alexander A. Kist and Andrew Maxwell (University of Southern Queensland, Australia)

pp. 9977-9983
Utilization-based VM Consolidation Scheme for Power Efficiency in Cloud Data Centers: Qi Chen, Jianxin Chen and Baoyu Zheng (Nanjing University of Posts and Telecommunications, P.R. China); JingWu Cui (Nanjing University of Posts And Telecomm, P.R. China); Yi Qian (University of Nebraska–Lincoln, USA)

pp. 9984-9989
End-to-End Informed VM Selection in Compute Clouds: Mario Meireles Teixeira (Federal University of Maranhão, Brazil); Azer Bestavros (Boston University, USA)

pp. 9990-9995
Migration-Aware Virtual Machine Placement for Cloud Data Centers: Xiumin Wang (Hefei University of Technology, P.R. China); Chau Yuen (Singapore University of Technology and Design, Singapore); Naveed Ul Hassan (Lahore University of Management Sciences, Pakistan); Wei Wang (Heifei University of Technology, P.R. China); Tian Chen (Hefei University of Technology, P.R. China)

pp. 9996-10001