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Synchronization strategies for global computing models. Ivan Lanese Computer Science Department Univers ity of Bologna. Roadmap. Global computing Synchronized Hyperedge Replacement SHR vs Fusion Calculus Synchronization Algebras with Mobility Congruence results Future work. Roadmap. - PowerPoint PPT Presentation
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1
Ivan LaneseComputer Science Department
University of Bologna
Synchronization strategiesfor global computing models
2
Roadmap
Global computing
Synchronized Hyperedge Replacement
SHR vs Fusion Calculus
Synchronization Algebras with Mobility
Congruence results
Future work
3
Roadmap
Global computing
Synchronized Hyperedge Replacement
SHR vs Fusion Calculus
Synchronization Algebras with Mobility
Congruence results
Future work
4
What is global computing?
Essentially networks
deployed on huge areas
Global computing
systems quite common
nowadays
– Internet, wireless
communication networks,
overlay networks …
5
Features of global computing systems
Distribution
– Huge areas: localities can not always be hidden
Mobility
– Both physical and code mobility
Heterogeneity
– Interoperability, coordination
Openness
Reconfigurability
Non-functional requirements
6
Formal methods for GC
Building models of the system
– To concentrate on a particular aspect
– To abstract from details
– To analyze the properties of the system before building it
Traditional formal methods are not enough for GC
– Mobility must be modeled explicitly
– Need for compositionality
– Need for more abstraction
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High level models
We look for models at the high level of abstraction
– Models of coordination among subsystems
We need powerful primitives
– Multiple synchronizations
– Abstractions of full protocols
Declarative specification of constraints
– Possible evolutions derived as solution of system of
constraints
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Roadmap
Global computing
Synchronized Hyperedge Replacement
SHR vs Fusion Calculus
Synchronization Algebras with Mobility
Congruence results
Future work
9
Synchronized Hyperedge Replacement
A graph transformation approach
– Suitable to deal with distribution, mobility, compositionality
(Hyper)edges are systems connected through common nodes
Productions describe the evolution of single edges
– Local effect, easy to implement
Synchronization via constraints on nodes
– Determines which productions can be applied concurrently
– Productions applied indipendently
– Allows to define complex transformations
– Multiple synchronization is allowed
Declarative approach
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Hyperedge Replacement Systems
A production describes how the hyperedge L is rewritten into the graph R
R
1
2 3 4
L
1
2 3 4 H
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Hyperedge Replacement Systems
A production describes how the hyperedge L is transformed into the graph R
R
R’
1
2 3 4
1
2
3
Many concurrent rewritings are allowed
L
L’
1
2 3 4
1
2
3
H
12
Synchronizing productions
Synchronization: productions execute actions
on nodes. A transition is allowed iff the
synchronization constraints imposed on actions are
satisfied
Many synchronization models are possible
(Hoare, Milner, ...)
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An example: Milner SHR
Milner synchronization: pair of edges can synchronize by performing complementary actions
a
A1
aA1 B1
a
A2
a
B1 B2
A2 B2
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SHR with mobility
– Actions carry tuples of references to nodes (new or already
existent)
– References associated to synchronized actions are matched and
corresponding nodes are merged
We use name mobility
a<x>
A1
a<x>A1 B1
a<y>
A2
a<y>
B1 B2
A2 B2
x y
x=y
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Example
x
Initial Graph
C
Brother:
C
C
C
C S
Star Reconfiguration:
w
r<w>
r<w>
x CBrother
C
C
C
C
C
C
CC CBrother Brother
(4)(3)(2)(1)
Star Rec.S
S
SS
(5)
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Algebraic presentation of SHR
Graphs represented as terms
– Edges (applied to nodes) are basic constants
– Operators for parallel composition and hiding of
nodes
Transitions described by a LTS
Inference rules to derive transitions from
productions
Allows proofs by induction
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Roadmap
Global computing
Synchronized Hyperedge Replacement
SHR vs Fusion Calculus
Synchronization Algebras with Mobility
Congruence results
Future work
18
Fusion Calculus
Calculus for mobility inspired by π-calculus
Input prefix is not a binder
– Symmetric input/output
– Names are merged
– Input of π-calculus obtained as input+restriction on
the objects of the input
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SHR vs Fusion Calculus
Many common features
– LTS semantics
– Synchronization in Milner style
– Mobility using fusions
Straightforward mapping of Fusion into SHR
SHR adds:
– Graphical presentation
– Multiple synchronizations
– Concurrent semantics
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Fusion Calculus vs SHR
Fusion Milner SHR
Processes Graphs
Sequential processes Hyperedges
Names Nodes
Parallel comp. Parallel comp.
Scope Restriction
Prefixes Productions
Transitions Interleaving tr.
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Example
).|.|.)(( RzyQyxPuxxy
)||)((
).|.|)(().|.|.)(( )(
RQPy
RzyQyxPyRzyQyxPuxxyzx
uxx
We can also execute both the steps at the same time
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Roadmap
Global computing
Synchronized Hyperedge Replacement
SHR vs Fusion Calculus
Synchronization Algebras with Mobility
Congruence results
Future work
23
Synchronization Algebras with Mobility (1)
Extend Winskel’s synchronization algebras to deal with name
mobility and local resources
Allow to have synchronization models as first-class citizens– Can be used to have models with parametric synchronization policies
– Many synchronization policies in the same model
– Different policies can be compared and combined
Common policies can be expressed as SAMs– Simple ones: Milner, Hoare, broadcast
– More complex ones: with priority, treshold synchronization
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Synchronization Algebras with Mobility (2)
SAs specify composition of actions
– (a,a,τ) a synchronizes with a producing τ
SAMs also provide:
– Mapping from parameters of synchronizing actions
to parameters of the result
– Fusions among parameters
– Final actions (performed on local channels)
– Some more technical stuff
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Milner synchronization as a SAM
Actions: normal actions, coactions, τ, ε
ε stands for “not taking part to the synchronization”
Normal actions synchronize with corresponding
coactions giving τ, corresponding parameters are
fused, no parameters are propagated
Anything can synchronize with ε, action and
parameters are propagated, no fusions
No other synchronization is allowed
Only τ and ε can be performed on local channels
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Parametric SHR
The SAM is a parameter of the model
Different models obtained via instantiation
– Allows to recover Hoare and Milner SHR…
– …and to easily define new models
Properties can be proved in general
– Allows to highlight relations between properties of
SAMs and properties of the model
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Heterogeneous SHR
Allows to model heterogeneous systems
– Different primitives in different parts of the system
– Example: wireless connections with broadcast and
wired connections with Milner
Each node is labeled by a SAM
SAMs must be managed dynamically
– SAMs are required to form a commutative monoid
– Node fusions cause SAMs composition
30
PRISMA Calculus
Generalization of Fusion based on SAMs
– Prefixes of the form x a y . P
– Synchronization ruled by the SAM
Standard Fusion is (more or less) Milner
PRISMA Calculus
The same approach can be applied to other
calculi (with some more technical difficulties)
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Roadmap
Global computing
Synchronized Hyperedge Replacement
SHR vs Fusion Calculus
Synchronization Algebras with Mobility
Congruence results
Future work
32
Abstract semantics for parametric SHR
Bisimulation can be defined in a standard
way for SHR
Under reasonable conditions on the SAM
bisimilarity is a congruence for parametric
SHR
– Milner, Hoare and many others satisfy the
conditions
33
Congruence results for Fusion Calculus
Bisimilarity is not a congruence for Fusion
Calculus (not closed under substitutions)
The mapping from Fusion into SHR allows to
derive a semantics whose bisimilarity is a
congruence
The result can be extended also to π-calculus
35
The idea of the semantics
Allowing many actions in the same transition but on
different channels
– Process a|b can execute a and b concurrently going to 0
(but can also execute either a or b)
– Process a|a is bisimilar to a.a
– Process a|a|b can perform τ and b concurrently going to 0
Allows to observe the degree of parallelism of a
process
38
Congruence properties
no more a counterexample since the
two terms are not bisimilar
Observing where a synchronization is performed
becomes important
– Otherwise congruence non preserved by context a|[-]
– Actions aτ in addition to normal τ
The resulting bisimilarity is a congruence
b|a.abba.
39
Roadmap
Global computing
Synchronized Hyperedge Replacement
SHR vs Fusion Calculus
Synchronization Algebras with Mobility
Congruence results
Future work
40
Future work
I have moved, so my work has changed a bit
– Core calculus for service oriented computing
– Techniques for proving bisimilarity properties of mobile calculi
Some follow-up of the previous work that I would like
to analyze
– Congruence results for concurrent semantics of π-calculus
– Applying SAMs to π-calculus
– Exploiting SAMs for quality of service (see Tuosto & Hirsch
work)
41
General bibliography
“A Model of Distributed Systems based on Graph Rewriting”, P.
Degano and U. Montanari, Journal of the ACM, 34
““Synchronized Hyperedge Replacement with Name Mobility”, D. Synchronized Hyperedge Replacement with Name Mobility”, D.
Hirsch and U. Montanari, Proceedings of CONCUR 2001, LNCS Hirsch and U. Montanari, Proceedings of CONCUR 2001, LNCS
21542154
“The Fusion Calculus: Expressiveness and Symmetry in Mobile
Processes”, B. Victor, Ph.D. Thesis, Department of Computer
Systems, Uppsala University, Uppsala, Sweden
“Synchronization trees”, G. Winskel, TCS, 34
“SHReQ: Coordinating Application Level QoS”, D. Hirsch and E.
Tuosto, Proceedings of SEFM 2005, IEEE
42
My bibliography
“Software Architecture, Global Computing and Graph Transformation via
Horn Clauses”, I. Lanese and U. Montanari, Proceedings of SBES 2002 –
16th Brazilian Symposium on Software Engineering
“A Graphical Fusion Calculus”, I. Lanese and U. Montanari, Proceedings of
CoMeta: Computational Metamodels Final Workshop, ENTCS 104
“Mapping Fusion and Synchronized Hyperedge Replacement into Logic
Programming”, I. Lanese and U. Montanari, to appear in a special issue of
TPLP
“Synchronization Algebras with Mobility for Graph Transformations”, I.
Lanese and U. Montanari, Proceedings of FGUC 2004 – Workshop on
Foundations of Global Ubiquitous Computing, ENTCS 138
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My bibliography
“Synchronized Hyperedge Replacement for Heterogeneus Systems”, I.
Lanese and E. Tuosto, Proceedings of COORDINATION 2005, LNCS 3454
"Hoare vs Milner: Comparing Synchronizations in a Graphical Framework
with Mobility", I. Lanese and U. Montanari, Proceedings of GT-VC‘05,
ENTCS, to appear
"Exploiting User-Definable Synchronizations in Graph Transformation",
I. Lanese, Proceedings of GT-VMT'06, ENTCS, to appear
"Synchronization Strategies for Global Computing Models",
Ivan Lanese, Ph.D. Thesis, Computer Science Department, University of
Pisa, to appear