Some Hot! Issues for the New Millennium Rick Stevens Argonne National Laboratory and University of Chicago
Complexity Management for Real World Systems Using databases techniques for managing large- scale collections of systems and services Modeling emergent behavior of networks, enterprises, embedded systems etc. Programmed trading like strategies for managing Ad hoc systems and dynamic resources Market/Ecosystem based model based self- organizing, self-repairing systems
BioComputing Understanding biological/ecological systems from an information systems standpoint (e.g. communication, transformation, organization) Utilizing biological/ecological mechanisms/concepts for computing devices Utilizing large-scale computing to explore and understand biological/ecological data Designing new biological/ecological structures (Biological CAD Tools)
Universal Programming Literacy “Reading, Writing, Arithmetic, and Programming” Everyone must know how to program Economic/Technological justice requires everyone be capable of being both a consumer and producer of programming Helps close the divide between those that develop technology and those that only “use” technology Enables spontaneous customizability
Software Architectures that Span Large Dynamic Range of Devices Enable applications that span YOTTAops (10 21 ) supercomputers to single embedded molecular controllers Distributed dynamic info content/structure manipulation and morphing techniques, summarization, annotation, etc. Usable extensible “Middleware Chains” or “Bridges” to enable user/service proxy farms
Personal Servers and Personal Information Environments Information environments designed to last the entire lifetime of user Anticipatory, Proactive and Protective Service clouds that track and help “their human” Basis for human mind-skill amplifiers Track evolution of the PC PS virtual PS Clients Thin-Client Ultra-Thin Client
A Moore’s Law for Software The time it takes for some software metric “X” to double X {Capability, Performance, Reliability, Scalability, Portability, Usability, etc.} Capturing even some of these assessments will provide some indication that we do or do not understand the rate of change/improvement of software on a similar footing as that of hardware Conjecture #1: ”While hardware improves exponentially, software improves polynomially if at all!” Conjecture #2: “Even Open Source and Internet can’t turn polynomial improvement into exponential improvement”
Socially Positive Large-scale Data and Computing Projects Digital preservation of threatened cultural resources (e.g. Egyptian monuments) Instantly deployable info-structures for healthcare, education, justice, banking, etc. Socially responsible use of large-scale computing for environment, health, energy and science
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Complete Virtualization of Networked Services Just in time bindings of services to networks and servers Dynamic load balancing, timezone, events, etc. Survability, Evolvability, Maintainability and Migratability of services
Anything, Anyway, Anywhere, Anytime, Anyhow!! All information, people and objects of value will be online Use all human communication modalities as potential interfaces Access is by a variety of universal software interfaces Access is mobile and spontaneously deployable Permanent and secure availability