Earticle

초록

영어

Recently, cloud computing platforms are available to provide convenient infrastructures such that cloud applications could conduct cloud and data-intensive computing. As the number of users and data increases, distribution and concurrency in systems is becoming the norm, not the exception. Data is replicated in geographically distinct datacentres, and large numbers of user requests are concurrently processed within a single replica. Consequently, most present new consistency models, which seek to provide stronger guarantees whilst preserving performance, through making certain assumptions on the operations executed or the data accessed. We discuss that this approach is often flawed. Recent years have seen a paradigm shift: distribution and concurrency have become prevalent. It is unrealistic to expect that a unique system view could, or even should exist at any given time. Yet, the literature still equates divergent views to inconsistency. Secondly, current distributed systems often rely on a definition of consistency that is too narrow. Consistency is an application-centric property. It should not be reduced to freshness. Thirdly, there exists a multiplicity of consistency definitions, each relying on subtly different assumptions and definitions of consistency. As a result, it is almost impossible to compare the guarantees provided by each system.

목차

Abstract
 1. Introduction
 2. The CAP Theorem
 3. Consistency Models
 4. ACM: Adaptive Consistency Model
  4.1. ACM Design
  4.2. Two-Layer ACM Infrastructure
  4.3. ACM Protocol
 5. Evaluation for ACM Guarantees
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Jinhong Kim [ College of Information and Communication Engineering, SungKyunKwan Univ. ]
• Sung-Tae Hwang [ College of Engineering, Hansung University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605