It is our great pleasure to welcome you to the ACM SIGCOMM Workshop on Distributed Cloud Computing (DCC 2014)!
This interdisciplinary workshop is an opportunity for academic and industrial scientists working in the different fields of networking, cloud computing, and distributed systems, to meet and exchange their vision and expertise on how to plan and manage future research on distributed cloud. Indeed, after a very successful DCC 2013 workshop, co-located with IEEE/ACM Utility and Cloud Computing (UCC) in Dresden, Germany, we are happy to hold this workshop this year together with the premier networking conference SIGCOMM.
The great interest in distributed cloud computing is also reflected in the number of submissions we have received. This year, the program committee accepted 10 out of 36 papers (acceptance ratio 27%), which cover a variety of topics related to the distributed cloud. In addition, the program committee accepted 5 papers for the poster session as well as a short pitch.
The program is complemented with a keynote by Randall Sobie as well as an invited paper by Jacobus Van der Merwe. Moreover, we would like to encourage the workshop attendees to actively participate in the panel session which will take place at the end of the workshop.
Proceeding Downloads
Distributed cloud computing in high energy physics
Cloud computing is increasingly being used for running high energy physics (HEP) applications. We review the motivation for using clouds in HEP and describe how they are gradually being integrated into our systems. In particular, we highlight our use of ...
ProActive routing in scalable data centers with PARIS
Modern data centers must scale to a large number of servers, while offering flexible placement and migration of virtual machines. The traditional approach of connecting layer-two pods through a layer-three core constrains VM placement. More recent 'flat'...
Modeling and simulation of concurrent workload processing in cloud-distributed enterprise information systems
Cloud Computing enables provisioning and distribution of highly scalable services in a reliable, on-demand and sustainable manner. Distributed Enterprise Information Systems (dEIS) are a class of applications with important economic value and with ...
DEIDtect: towards distributed elastic intrusion detection
We present a distributed elastic intrusion detection architecture called DEIDtect. DEIDtect exploits the increasing deployment of cloud computing and software defined networking technology in enterprise and campus environments to deal with current ...
Performance of network and computing resource sharing in federated cloud systems
The increasing demand of computing, storage and communication resources by cloud-based applications is fostering new forms of infrastructure sharing such as cloud federations, which can take advantage of virtualization technologies and, in particular, ...
Capacity of inter-cloud layer-2 virtual networking
Due to the economy of scale of Ethernet networks and available dynamic circuit capability from the major national research and educational networks, VLAN (Virtual LAN) based virtual networking solution has been successfully adopted in some advanced ...
Traffic-aware clustering and VM migration in distributed data center
In this paper we propose an algorithmic approach designed to tackle and reduce the congestion events in a Distributed Data Center (DDC). Our solution is based on virtual machines (VMs) migration and, differently from the literature, it analyzes the VMs ...
ParaDrop: a multi-tenant platform for dynamically installed third party services on home gateways
The landscape of computing capabilities within the home has seen a recent shift from persistent desktops to mobile platforms, which has led to the use of the cloud as the primary computing platform implemented by developers today. Cloud computing ...
Green latency-aware data deployment in data centers: balancing latency, energy in networks and servers
Two concerns exist in service provisioning by data centers. One is that users require to experience low latency while accessing data from the data centers. The other is to reduce the power consumed by network transport and servers in the data centers. ...
Response time-optimized distributed cloud resource allocation
In the near future many more compute resources will be available at different geographical locations. To minimize the response time of requests, application servers closer to the user can hence be used to shorten network round trip times. However, this ...
A decomposition-based architecture for distributed virtual network embedding
Network protocols have historically been developed on an ad-hoc basis, and cloud computing is no exception. A fundamental management protocol, not yet standardized, that cloud providers need to run to support wide-area virtual network services is the ...
Optimizing job reliability via contention-free, distributed scheduling of vm checkpointing
Checkpointing a virtual machine (VM) is a proven technique to improve the reliability in modern datacenters. Inspired by the CSMA protocol in wireless congestion control, we propose a novel framework for distributed and contention-free scheduling of VM ...
Traffic steering in software defined networks: planning and online routing
Middleboxes have become ubiquitous in data center as well as wide area networks. Simple routing of flows from ingress to egress along shortest paths has been replaced by policy aware paths that have to pass through the required set of middleboxes. The ...
Design and implementation of an OpenFlow hardware abstraction layer
- Damian Parniewicz,
- Roberto Doriguzzi Corin,
- Lukasz Ogrodowczyk,
- Mehdi Rashidi Fard,
- Jon Matias,
- Matteo Gerola,
- Victor Fuentes,
- Umar Toseef,
- Adel Zaalouk,
- Bartosz Belter,
- Eduardo Jacob,
- Kostas Pentikousis
OpenFlow is a leading standard for Software-Defined Networking (SDN) and has already played a significant role in reshaping network infrastructures. However, a wide range of existing provider domains is still not equipped with a framework that supports ...
Achieving efficient and fast update for multiple flows in software-defined networks
Aiming to adapt traffic dynamics, deal with network errors, perform planned maintenance, etc., flow update is carried out frequently in Software-Defined Networks (SDN) to change the data plane configuration, and how to update the flows efficiently and ...
Index Terms
- Proceedings of the 2014 ACM SIGCOMM workshop on Distributed cloud computing
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
DCC '14 | 36 | 10 | 28% |
Overall | 36 | 10 | 28% |