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With the emerging technology breakthrough in computing, the fundamental definition of computer systems is under revision. This revolutionary change is occurring in many ways including the blending of mobile and fixed computing platforms, the use of software systems as virtual network connected "devices," and the emergence of analytics as tools for building scalable systems.
This year, BigSystems takes continues its theme of "Software Defined Systems" with interesting presentations covering new operating systems research, multi-data center data management, networking, and flexible "Platform as a Service" architectures. The keynote presentation by Brent Gorda, head of Intel's High Performance Data Division, highlights the technological advances that underpin the development of ever more performant software defined systems. Finally, a panel of distinguished researchers and industry professionals debates and discusses the technology ramifications of software defined system architectures and design approaches.
It is the time to rethink system design and management without boundaries towards software-defined ecosystems, the Big System. The basic principles of software-defined mechanisms and policies have witnessed great success in clouds and networks. We are expecting broader, deeper, and greater evolution and confluence towards holistic software-defined ecosystems. BigSystems 2015, in its second year, continues to provide the venue for early and important innovations in this emerging discipline. We offer a rich program from keynote on feeding data into big systems, paper presentation sessions on software-defined platforms, software-defined systems (OS and data centers), to the panel on building flexibly changeable systems at scale.
The First International Workshop on Software-Defined Ecosystems (BigSystem 2014) provides an open forum for researchers, practitioners, and system builders to exchange ideas, discuss, and shape roadmaps towards such big systems in the era of big data.
Proceeding Downloads
Feeding the Beast: Getting Data into Big Systems
The distance between compute and data continues to grow and despite being declared "dead" a decade ago, the interfaces of the serial world (Posix) are still with us. Is it time to move on and to what? How can we give applications the desired flexibility,...
Continuous Delivery of Composite Solutions: A Case for Collaborative Software Defined PaaS Environments
- Paula Austel,
- Han Chen,
- Thomas Mikalsen,
- Isabelle Rouvellou,
- Upendra Sharma,
- Ignacio Silva-Lepe,
- Revathi Subramanian
To help drive top line growth of their businesses, the development and IT organizations are under increasing pressure to create and deliver applications at ever faster paces. The advent of Cloud Computing has not only lowered the cost of IT operations ...
A Framework for Realizing Software-Defined Federations for Scientific Workflows
Federated computing has been shown to be an effective model for harnessing the capabilities and capacities of geographically- distributed resources in order to solve large science and en- gineering problems. However, traditional High Performance ...
Redefining Data Locality for Cross-Data Center Storage
Many Cloud applications exploit the diversity of storage options in a data center to achieve desired cost, performance, and durability tradeoffs. It is common to see applications using a combination of memory, local disk, and archival storage tiers ...
XoS: An Extensible Cloud Operating System
- Larry Peterson,
- Scott Baker,
- Marc De Leenheer,
- Andy Bavier,
- Sapan Bhatia,
- Mike Wawrzoniak,
- Jude Nelson,
- John Hartman
This paper describes XOS, a cloud operating system designed to manage hardware and software resources across a multi-tiered cloud. XOS raises the level of abstraction in an IaaS cloud architecture by elevating scalable software services to first-class ...
Virtual Fabric-based Approach for Virtual Data Center Network
The fast evolving of data center virtualization has led to high volumes of network fabric traffic. While data center hosts multiple VDCs and network fabrics are managed as a single logical network entity, the network is practically unable to prevent a ...
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
BigSystem '14 | 8 | 6 | 75% |
Overall | 8 | 6 | 75% |