The advanced state of computer networking and telecommunications
technology makes it possible to view computers as parts of a global
computation platform, sharing their resources in terms of hardware,
software and data. The possibility of exploiting the resources on a
global scale has given rise to a new paradigm - the mobile
computation paradigm - for computation in large scale distributed
networks. The key characteristic of this paradigm is to give
programmers control over the mobility of code or active
computations across the network by providing appropriate language
features. The dynamism and flexibility offered by mobile
computation however, brings about a set of problems, the most
challenging of which are relevant to safety and security. Several
recent experiences prove that identifying the causes of these
problems usually requires a rigorous investigation using formal
methods.
Functional languages are known for their well-understood
computational models and their amenability to formal reasoning.
They also have strong expressive power due to higher-order
features. Functions can flow from one program point to another as
other first-class values. These facts suggest that functional
languages can provide the core of mobile computation language.
Functions that represent mobile agents and formal systems for
reasoning about functional programs can be further exploited to
reason about the behavior of agents.
Mobile Computation with Functions explores distributed
computation with languages which adopt functions as the main
programming abstraction and support code mobility through the
mobility of functions between remote sites. It aims to highlight
the benefits of using languages of this family in dealing with the
challenges of mobile computation. The possibility of exploiting
existing static analysis techniques suggests that having functions
at the core of mobile code language is a particularly apt choice. A
range of problems which have impact on the safety, security and
performance are discussed. It is shown that types extended with
effects and other annotations can capture a significant amount of
information about the dynamic behavior of mobile functions, and
offer solutions to the problems under investigation. This book
includes a survey of the languages Concurrent ML, Facile and PLAN
which inherit the strengths of the functional paradigm in the
context of concurrent and distributed computation. The languages
which are defined in the subsequent chapters have their roots in
these languages.
Mobile Computation with Functions is designed to meet the needs
of a professional audience composed of researchers and
practitioners in industry and graduate level students in Computer
Science.
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