ENGINEERING - Cambridge University Press India

Distributed
Computing
Principles, Algorithms,
and Systems
Ajay D.
Kshemkalyani
University of Illinois,
Chicago
& Mukesh Singhal
University of Kentucky
Contents: 1. Introduction; 2. The basics;
3. Superscalar processors; 4. Front-end: branch
prediction, instruction fetching, and register
renaming; 5. Back-end: instruction scheduling,
memory access instructions, and clusters; 6. The
cache hierarchy; 7. Multiprocessors;
8. Multithreading and (chip) multiprocessors;
9. Current limitations and future challenges.
ISBN: 9780521187350 382pp ` 745.00
Designing distributed computing systems is a
complex process requiring a solid understanding
of the design problems and the theoretical and
practical aspects of their solutions. This
comprehensive textbook covers the fundamental
principles and models underlying the theory,
algorithms and systems aspects of distributed
computing. Broad and detailed coverage of the
theory is balanced with practical systems-related
issues such as mutual exclusion, deadlock
detection, authentication, and failure recovery.
Algorithms are carefully selected, lucidly
presented, and described without complex proofs.
Simple explanations and illustrations are used to
elucidate the algorithms. Important emerging
topics such as peer-to-peer networks and network
security are also considered. With vital algorithms,
numerous illustrations, examples and homework
problems, this textbook is suitable for advanced
undergraduate and graduate students of electrical
and computer engineering and computer science.
Practitioners in data networking and sensor
networks will also find this a valuable resource.
Additional resources are available online at
www.cambridge.org/9780521876346.
Contents: 1. Introduction; 2. A model of
distributed computations; 3. Logical time; 4. Global
state and snapshot recording algorithms;
5. Terminology and basic algorithms; 6. Message
ordering and group communication; 7. Termination
detection; 8. Reasoning with knowledge;
9. Distributed mutual exclusion algorithms;
10. Deadlock detection in distributed systems;
11. Global predicate detection; 12. Distributed
shared memory; 13. Checkpointing and rollback
recovery; 14. Consensus and agreement
algorithms; 15. Failure detectors;
16. Authentication in distributed system; 17. Selfstabilization;
18. Peer-to-peer computing and
overlay graphs; Index.
Enterprise Cloud
Computing
Technology, Architecture,
Applications
Gautam Shroff
TCS Innovation Lab, Delhi
Cloud computing promises to revolutionize IT and
business by making computing available as a
utility over the internet. This book is intended
primarily for practising software architects who
need to assess the impact of such a
transformation. It explains the evolution of the
internet into a cloud computing platform, describes
emerging development paradigms and
technologies, and discusses how these will
change the way enterprise applications should be
architected for cloud deployment. Gautam Shroff
provides a technical description of cloud
computing technologies, covering cloud
infrastructure and platform services, programming
paradigms such as MapReduce, as well as ‘do-ityourself’
hosted development tools. He also
describes emerging technologies critical to cloud
computing. The book also covers the
fundamentals of enterprise computing, including a
technical introduction to enterprise architecture, so
it will interest programmers aspiring to become
software architects and serve as a reference for a
graduate-level course in software architecture or
software engineering.
Contents: Preface; Part I. Computing Platforms:
1. Enterprise computing: a retrospective; 2. The
internet as a platform; 3. Software as a service
and cloud computing; 4. Enterprise architecture:
role and evolution; Part II. Cloud Platforms:
5. Cloud computing platforms; 6. Cloud computing
economics; Part III. Cloud Technologies: 7. Web
services, AJAX and mashups; 8. Virtualization
technology; 9. Multi-tenant software; Part IV.
Cloud Development: 10. Data in the cloud;
11. MapReduce and extensions; 12. Dev 2.0
platforms; Part V. Software Architecture:
13. Enterprise software: ERP, SCM, CRM;
14. Custom enterprise applications and Dev 2.0;
15. Workflow and business processes;
16. Enterprise analytics and search; Part VI.
Enterprise Cloud Computing: 17. Enterprise cloud
computing ecosystem; 18. Roadmap for enterprise
cloud computing; List of abbreviations;
References; Index.
ISBN: 9781107648890 290pp ` 495.00
ISBN: 9781107648906 756pp ` 795.00
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