O pen  P hilosophies for  A ssociative  A utopoietic Digita L  Eco S ystems Sotiris Moschoyiannis, Amir r Razavi,  Paul Krause Architecture and Process 2008
Introduction What is a Digital Ecosystem A digital ecosystem is a  self-organising  digital infrastructure aimed at creating a digital environment for  networked organizations  that supports  cooperation , knowledge sharing, the development of open and adaptive technologies and evolutionary business models. DE Business Environment Distributed Long-lived Transactions for SMEs Challenges Business transactions performance, failures and consistency Network response to dynamicity of environment, connectivity and fragmentations
The Web is an Ecosystem The Web is an Ecosystem
What is an Ecosystem? An interactive system established between living creatures and the environment in which they live Arthur Tansley (1871-1955) (Arguably) The members of an ecosystem “benefit” from each others’ participation Typically the respective populations in a predator-prey relationship tend towards a stable (sometimes cyclic) attractor
The environment is: a social context a digital infrastructure In a “Digital Ecosystem” The members are: e-Businesses, software services, information sources
A Digital Ecosystem? The nature of the environment defines the properties of the ecosystem we would claim
A complex, adaptive system? A digital ecosystem is a  self-organising  digital infrastructure aimed at creating a digital environment for  networked organizations  that supports  cooperation ,  knowledge sharing , the development of open and adaptive technologies and  evolutionary business models .
What are we trying to build? An environment which encourages diversity Absence of critical points of failure or control Preservation of “local autonomy” of participants only reveal what you choose to reveal Robust support for long-term transactions (interactions) between members
THE CONTENT, LINKS, AND TRANSACTIONS “ I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content, links, and transactions between people and computers. A ‘Semantic Web’, which should make this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The ‘intelligent agents’ people have touted for ages will finally materialize.”  [ref: Berners-Lee, Tim; Fischetti, Mark (1999). Weaving the Web. Harper San Francisco, chapter 12. ISBN 9780062515872- ref: 24]
THE CONTENT, LINKS, AND TRANSACTIONS “ I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the  content , links, and transactions between people and computers. A ‘Semantic Web’, which should make this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The ‘intelligent agents’ people have touted for ages will finally materialize.”  [ref: Berners-Lee, Tim; Fischetti, Mark (1999). Weaving the Web. Harper San Francisco, chapter 12. ISBN 9780062515872- ref: 24]
THE CONTENT, LINKS, AND TRANSACTIONS “ I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content,  links , and transactions between people and computers. A ‘Semantic Web’, which should make this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The ‘intelligent agents’ people have touted for ages will finally materialize.”  [ref: Berners-Lee, Tim; Fischetti, Mark (1999). Weaving the Web. Harper San Francisco, chapter 12. ISBN 9780062515872- ref: 24]
“ I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content, links, and  transactions  between people and computers. A ‘Semantic Web’, which should make this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The ‘intelligent agents’ people have touted for ages will finally materialize.”  [ref: Berners-Lee, Tim; Fischetti, Mark (1999). Weaving the Web. Harper San Francisco, chapter 12. ISBN 9780062515872- ref: 24] THE CONTENT, LINKS, AND TRANSACTIONS
 
 
Hedges, et al. Continental breakup and the ordinal diversification of birds and mammals,  Nature   381 , 226-229 (1996)
The solution Software agents on behalf of people (SMEs) Gather and store local knowledge (local contexts);  Collect and accumulate knowledge from outside (external links); Manage content;  Promoting the stored contexts for outside and provide external links; Process business activities and transactions. Digital Business Ecosystem Keeping the transaction-created networks Creating a connected network between services (service providers – SMEs).
The complexity of Digital Business Ecosystem is not a connected network has a very dynamic nature content, links, transactions does not have potential for creating all sort of links between different content or service providers is relying on centralised controls for business activities is not fully resistant against failures and errors is not stable, with traffic bottlenecks and other uncontrolled parameters easily affecting the environment
Transactions in DEs Correspond to business activities and involve complex interactions between  service  providers/consumers B2B scenarios require  long-running  transactions (min, hrs, days…) which involve the execution of a number of underlying services Comprise a mixture of different levels of composition ( subtransactions ) of several services from different service providers Local autonomy  and loosely-coupled services – SMEs… but also SOA as the enabling technology of a DE for business ACID properties are questionable; Atomicity? Isolation?  Consistency Release of results before transaction commit ( partial results ) Recovery management ( recoverability ) Compensation Omitted results Forward recovery
Managing dependencies Capture dependencies  within  and  across  transactions Within a transaction we use Internal Dependency Graphs ( IDG ) Across transactions we use External Dependency Graphs ( EDG ) Each platform only knows about  before  and  after A fully  distributed  mechanism for local coordination and  log-based recovery management in long-running transactions
Business network properties Connectivity Supporting Business activities ( distributed  business transactions) Resistant to  fragmentations Transaction recoverability (costly) Forward recovery  Alternative  scenarios/paths (using diversity of DEs) Dynamicity Local  Autonomy  (loosely coupling) Time-based business activity ( regional behaviour/availability ) Versatile  SMEs business model (changing the business nature time to time
Distributed coordination for executing transaction
Virtual Private Transaction Networks
A measurement for Platform stability OPAALS
Virtualization levels
Connecting VPTNs
Super peers and permanent nodes super peers are expensive nodes with costly maintenance requirements Who is going to provide such nodes?  during peak time the pressure of high traffic can result in a bottleneck on super peer nodes How they cope with the dynamic network structure?  processing redundant data and producing overheads waste at off-peak times of the network  while they will be continuously under pressure at peak time while the network grows How regular cost increased can be justified?
PERMANENT CLUSTERS & VIRTUAL SUPER PEERS Good connectivity Spreading Traffic Clustering stability and local storage Network Dynamicity on VSPs
Dynamic algorithm for choosing nodes for VSPs
Achilles heel of the network high dependency on a few number of nodes vulnerable on any smart attack on hubs As the fragmentation on the network (creating islands in the network) costly to repair (de-fragmentation) inconsistency of such a model with the dynamicity of a digital ecosystem SMEs may not provide stable and permanent nodes for hubs at all This means fragmentation even without any external attack or physical failures
Digital Business Ecosystem network resistance against failures
Further work “ Web 3.0, a phrase coined by John Markoff of the New York Times in 2006, refers to a supposed third generation of Internet-based services that collectively comprise what might be called 'the intelligent Web' — .... — which emphasize machine-facilitated understanding of information in order to provide a more productive and intuitive user experience. ”

Open Philosophies for Associative Autopoietic Digital Ecosystems

  • 1.
    O pen P hilosophies for A ssociative A utopoietic Digita L Eco S ystems Sotiris Moschoyiannis, Amir r Razavi, Paul Krause Architecture and Process 2008
  • 2.
    Introduction What isa Digital Ecosystem A digital ecosystem is a self-organising digital infrastructure aimed at creating a digital environment for networked organizations that supports cooperation , knowledge sharing, the development of open and adaptive technologies and evolutionary business models. DE Business Environment Distributed Long-lived Transactions for SMEs Challenges Business transactions performance, failures and consistency Network response to dynamicity of environment, connectivity and fragmentations
  • 3.
    The Web isan Ecosystem The Web is an Ecosystem
  • 4.
    What is anEcosystem? An interactive system established between living creatures and the environment in which they live Arthur Tansley (1871-1955) (Arguably) The members of an ecosystem “benefit” from each others’ participation Typically the respective populations in a predator-prey relationship tend towards a stable (sometimes cyclic) attractor
  • 5.
    The environment is:a social context a digital infrastructure In a “Digital Ecosystem” The members are: e-Businesses, software services, information sources
  • 6.
    A Digital Ecosystem?The nature of the environment defines the properties of the ecosystem we would claim
  • 7.
    A complex, adaptivesystem? A digital ecosystem is a self-organising digital infrastructure aimed at creating a digital environment for networked organizations that supports cooperation , knowledge sharing , the development of open and adaptive technologies and evolutionary business models .
  • 8.
    What are wetrying to build? An environment which encourages diversity Absence of critical points of failure or control Preservation of “local autonomy” of participants only reveal what you choose to reveal Robust support for long-term transactions (interactions) between members
  • 9.
    THE CONTENT, LINKS,AND TRANSACTIONS “ I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content, links, and transactions between people and computers. A ‘Semantic Web’, which should make this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The ‘intelligent agents’ people have touted for ages will finally materialize.” [ref: Berners-Lee, Tim; Fischetti, Mark (1999). Weaving the Web. Harper San Francisco, chapter 12. ISBN 9780062515872- ref: 24]
  • 10.
    THE CONTENT, LINKS,AND TRANSACTIONS “ I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content , links, and transactions between people and computers. A ‘Semantic Web’, which should make this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The ‘intelligent agents’ people have touted for ages will finally materialize.” [ref: Berners-Lee, Tim; Fischetti, Mark (1999). Weaving the Web. Harper San Francisco, chapter 12. ISBN 9780062515872- ref: 24]
  • 11.
    THE CONTENT, LINKS,AND TRANSACTIONS “ I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content, links , and transactions between people and computers. A ‘Semantic Web’, which should make this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The ‘intelligent agents’ people have touted for ages will finally materialize.” [ref: Berners-Lee, Tim; Fischetti, Mark (1999). Weaving the Web. Harper San Francisco, chapter 12. ISBN 9780062515872- ref: 24]
  • 12.
    “ I havea dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content, links, and transactions between people and computers. A ‘Semantic Web’, which should make this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The ‘intelligent agents’ people have touted for ages will finally materialize.” [ref: Berners-Lee, Tim; Fischetti, Mark (1999). Weaving the Web. Harper San Francisco, chapter 12. ISBN 9780062515872- ref: 24] THE CONTENT, LINKS, AND TRANSACTIONS
  • 13.
  • 14.
  • 15.
    Hedges, et al.Continental breakup and the ordinal diversification of birds and mammals, Nature 381 , 226-229 (1996)
  • 16.
    The solution Softwareagents on behalf of people (SMEs) Gather and store local knowledge (local contexts); Collect and accumulate knowledge from outside (external links); Manage content; Promoting the stored contexts for outside and provide external links; Process business activities and transactions. Digital Business Ecosystem Keeping the transaction-created networks Creating a connected network between services (service providers – SMEs).
  • 17.
    The complexity ofDigital Business Ecosystem is not a connected network has a very dynamic nature content, links, transactions does not have potential for creating all sort of links between different content or service providers is relying on centralised controls for business activities is not fully resistant against failures and errors is not stable, with traffic bottlenecks and other uncontrolled parameters easily affecting the environment
  • 18.
    Transactions in DEsCorrespond to business activities and involve complex interactions between service providers/consumers B2B scenarios require long-running transactions (min, hrs, days…) which involve the execution of a number of underlying services Comprise a mixture of different levels of composition ( subtransactions ) of several services from different service providers Local autonomy and loosely-coupled services – SMEs… but also SOA as the enabling technology of a DE for business ACID properties are questionable; Atomicity? Isolation? Consistency Release of results before transaction commit ( partial results ) Recovery management ( recoverability ) Compensation Omitted results Forward recovery
  • 19.
    Managing dependencies Capturedependencies within and across transactions Within a transaction we use Internal Dependency Graphs ( IDG ) Across transactions we use External Dependency Graphs ( EDG ) Each platform only knows about before and after A fully distributed mechanism for local coordination and log-based recovery management in long-running transactions
  • 20.
    Business network propertiesConnectivity Supporting Business activities ( distributed business transactions) Resistant to fragmentations Transaction recoverability (costly) Forward recovery Alternative scenarios/paths (using diversity of DEs) Dynamicity Local Autonomy (loosely coupling) Time-based business activity ( regional behaviour/availability ) Versatile SMEs business model (changing the business nature time to time
  • 21.
    Distributed coordination forexecuting transaction
  • 22.
  • 23.
    A measurement forPlatform stability OPAALS
  • 24.
  • 25.
  • 26.
    Super peers andpermanent nodes super peers are expensive nodes with costly maintenance requirements Who is going to provide such nodes? during peak time the pressure of high traffic can result in a bottleneck on super peer nodes How they cope with the dynamic network structure? processing redundant data and producing overheads waste at off-peak times of the network while they will be continuously under pressure at peak time while the network grows How regular cost increased can be justified?
  • 27.
    PERMANENT CLUSTERS &VIRTUAL SUPER PEERS Good connectivity Spreading Traffic Clustering stability and local storage Network Dynamicity on VSPs
  • 28.
    Dynamic algorithm forchoosing nodes for VSPs
  • 29.
    Achilles heel ofthe network high dependency on a few number of nodes vulnerable on any smart attack on hubs As the fragmentation on the network (creating islands in the network) costly to repair (de-fragmentation) inconsistency of such a model with the dynamicity of a digital ecosystem SMEs may not provide stable and permanent nodes for hubs at all This means fragmentation even without any external attack or physical failures
  • 30.
    Digital Business Ecosystemnetwork resistance against failures
  • 31.
    Further work “Web 3.0, a phrase coined by John Markoff of the New York Times in 2006, refers to a supposed third generation of Internet-based services that collectively comprise what might be called 'the intelligent Web' — .... — which emphasize machine-facilitated understanding of information in order to provide a more productive and intuitive user experience. ”