The continuous evolution of computing and networking technologies (e.g., Moore's Law) is creating a new world populated by many sensors on physical and social environments. This emerging new world goes much further than the original visions of ubiquitous computing and World Wide Web. Aspects of this new world have received various names such as Cyber Physical Systems (CPS) and Internet of Things (IOT). CPS links many physical sensor data to detailed simulation models running on large data centers. IOT brings together many appliances, making much more environmental data available and supporting control of these appliances. CPS/IOT applications are many, including personalized healthcare, intelligent transportation, smart grid, sustainable environment, and disaster recovery as representative examples. These CPS/IOT applications are motivated and strongly pushed by significant new social, economic, and human benefits. At the same time, these applications are also mission-critical with serious quality of service requirements such as real-time performance, continuous availability, high security and privacy. These applications also require end-to-end collaboration from the sensors to the sophisticated models using the big data collected from the past to present. As illustrative examples of systems-building techniques need for these collaboration-in-the-large applications, we will discuss distributed events, continual queries, and code generation.

Calton Pu was born in Taiwan and grew up in Brazil. He received his PhD from University of Washington in 1986 and served on the faculty of Columbia University and Oregon Graduate Institute. Currently, he is holding the position of Professor and John P. Imlay, Jr. Chair in Software in the College of Computing, Georgia Institute of Technology. He has worked on several projects in systems and database research. His contributions to systems research include program specialization and software feedback. His contributions to database research include extended transaction models and their implementation. His recent research has focused on automated system management in clouds (Elba project) and document quality, including spam processing. He has collaborated extensively with scientists and industry researchers. He has published more than 70 journal papers and book chapters, 200 conference and refereed workshop papers. He served on more than 120 program committees, including the co-PC chairs of SRDS'95, ICDE'99, COOPIS'02, SRDS'03, DOA'07, DEBS'09, ICWS'10, CollaborateCom'11, and co-general chair of ICDE'97, CIKM'01, ICDE'06, DEPSA'07, CEAS'07, SCC'08, CollaborateCom'08, and World Service Congress'11.

Executable content is of growing importance in many domains. How does one share and archive such content at Internet-scale for spatial and temporal collaboration? Spatial collaboration refers to the classic concept of user collaboration: two or more users who are at different Internet locations performing a task using shared context. Temporal collaboration refers to the archiving of context by one user and use of that context by another user, possibly many years or decades later. The term "shared context" has typically meant shared documents or a shared workspace such as a whiteboard. However, executable content forces us to think differently. Just specifying a standardized data format such as pdf or docx is not suf?cient. Somehow, one has to accurately and precisely reproduce computation. We observe that the complete and long-lived encapsulation of computing state provided by a virtual machine (VM) may help us solve this problem. Based on our positive initial experience with VMs for archiving execution state, we propose the creation of Olive, an Internet ecosystem of curated VM image collections. This ecosystem will include open source software infrastructure for archiving VM images, searching their contents, tracking provenance, and enforcing security and licensing constraints. Rapid launch of a VM within a cloud or at the edges of the Internet can be achieved through a streaming mechanism that demand fetches memory and disk state during execution.

(This is joint work with Vasanth Bala of IBM Research, and Gloriana St. Clair and Erika Linke of Carnegie Mellon University.)

Mahadev Satyanarayanan is the Carnegie Group Professor of Computer Science at Carnegie Mellon University. From May 2001 to May 2004 he served as the founding director of Intel Research Pittsburgh, one of four university-affiliated research labs established worldwide by Intel to create disruptive information technologies through its Open Collaborative Research model. He is a Fellow of the ACM and the IEEE, and was the founding Editor-in-Chief of IEEE Pervasive Computing.

As an experimental computer scientist, Satyanarayanan designs, implements, and evaluates systems. His research interests span mobile computing, pervasive computing and distributed systems (especially distributed file systems). Performance, availability, security, usability and manageability are some of the key attributes that he pays attention to in his work.

One outcome of Satyanarayanan's studies is the Coda File System, which supports disconnected and bandwidth-adaptive operation. Key ideas from Coda have been incorporated by Microsoft into the IntelliMirrorcomponent of Windows. Another outcome is Odyssey, a set of open-source operating system extensions for enabling mobile applications to adapt to variation in critical resources such as bandwidth and energy. Coda and Odyssey are building blocks in Project Aura, a research initiative at Carnegie Mellon to build a distraction-free ubiquitous computing environment. Earlier, Satyanarayanan was a principal architect and implementor of the Andrew File System (AFS), which was commercialized by IBM.

There is no doubt that the concept of "connected medicine" is a harbinger of the transformation we will soon see in healthcare. Stakeholders at all points along the care continuum recognize that they need to share and have access to patient information to achieve quality and cost control goals. Moreover, this access needs to be granted in a "language" that can be meaningfully used for the benefit of the patient.

This creates a significant challenge for health information professionals. Most have come to the conclusion that they must embrace solutions that promote interoperability and are supported by intelligence that allows the growing amounts of digitized data to be semantically harmonized in order to make them truly usable.

This presentation will trace the progress that the University of Pittsburgh Medical Center has made in its quest to achieve interoperability and connected medicine.

In 2006, UPMC made the decision to build a singular interoperability platform around its current and projected clinical IT capabilities. This strategy was based on a conviction that an approach that could accommodate best-of-breed and provider-preferred systems would accelerate adoption, increase utilization and, therefore, provide optimum return on investment.

UPMC launched its efforts on a limited basis, providing select ambulatory care and hospital providers and giving them access to a single view of essential data sets such as medications, problem lists, allergies, lab values, and demographic information. Early success - and enthusiasm from initial users - convinced others of the value of this approach to semantically organized information, which unifies various nomenclatures and renders data from disparate systems truly usable in meaningful ways. Since these early successes, UPMC has rolled out the functionality to more departments and providers, and now offers expanded information at the point of care to include complex data sources and documents such as discharge summaries, pathology reports, and immunization data. By connecting their health plan and providers, UPMC is making information smarter and facilitating proactive treatments. In this talk, I will

• discuss the process UPMC undertook to achieve interoperability and connected healthcare.
• explore key issues that may have a significant impact on the potential for success when a healthcare organization begins to progress towards interoperability.
• discuss the decisions that guided the UPMC implementation, and whether or not they would be reflective of participants' organizations.

As the VICE PRESIDENT of Medical Information Technology at the University of Pittsburgh Medical Center (UPMC), Dr. Shrestha has extensive knowledge of medical informatics and the business of healthcare. Dr Shrestha is also the Medical Director of Interoperability & Imaging Informatics and Division Chief of Radiology Informatics. UPMC is a $9 billion, 50,000-employee organization that serves the needs of more than 4 million people each year. UPMC operates over 20 academic, community, and specialty hospitals, 30 imaging centers and 400 outpatient sites, employs more than 2,700 physicians, and offers an array of rehabilitation, retirement and long-term care facilities.

Dr. Shrestha was previously the Medical Director of Digital Imaging Informatics at UPMC where he had spearheaded multiple initiatives around imaging interoperability, and continues to do so across the enterprise. Prior to joining UPMC, Dr Shrestha was Informatics Director at the University of Southern California, Department of Radiology. Dr Shrestha was also Professor of Radiology Research at the Keck School of Medicine and has a unique blend of clinical as well as research skills in Medical Informatics.

Dr. Shrestha has proven expertise in driving efficiency and productivity, managing multi-vendor dealings and leading process improvement and major enterprise informatics implementations around various Clinical Information Systems. These include PACS (Picture Archiving and Communication Systems), RIS (Radiology Informatics System), EMR (Electronic Medical Records) and Voice Recognition as well as related NLP (Natural Language Processing) technologies. His core focus is on modernizing and optimizing patient care primarily in the healthcare informatics arena, maximizing revenue, excellence in teaching, research collaboration and enterprise wide efficiency optimizations. Dr. Shrestha’s focus has also been on enabling a patient centric approach to care, where care can progress beyond the silos of information systems, and healthcare moves from mere repositories of information to knowledge and actionable data. He is driven by the pursuit of intelligent healthcare, enabling meaningful data connectivity and collaborative intelligence.