TEA-Cloud: A Formal Framework for Testing Cloud Computing Systems

被引:16
作者
Nunez, Alberto [1 ]
Canizares, Pablo C. [1 ]
Nunez, Manuel [1 ]
Hierons, Robert M. [2 ]
机构
[1] Univ Complutense Madrid, Dept Software Syst & Computat, Design & Testing Reliable Syst Res Grp, Madrid 28040, Spain
[2] Univ Sheffield, Dept Comp Sci, Sheffield SD1 4DP, S Yorkshire, England
关键词
Cloud computing; Testing; Task analysis; Computational modeling; Software; Hardware; Computers; metamorphic testing (MT); mutation testing; simulation; SIMULATION; ENVIRONMENT; TOOL;
D O I
10.1109/TR.2020.3011512
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The validation of a cloud system can be complicated by the size of the system, the number of users that can concurrently request services, and the virtualization used to give the illusion of using dedicated machines. Unfortunately, it is not feasible to use conventional testing methods with cloud systems. This article proposes a framework, called TEA-Cloud, that integrates simulation with testing methods for validating cloud system designs. Testing is applied on both functional and nonfunctional aspects of the cloud, like performance and cost. The aim of the framework is to provide a complete methodology to help users to model both software and hardware parts of cloud systems and automatically test the validity of these clouds using a cost-effective approach. Metamorphic testing is used to overcome the lack of an oracle that checks whether the behavior observed in testing is allowed. Metamorphic testing is based on metamorphic relations (MRs). We define three families of MRs, which target issues such as performance, resource provisioning, and cost. TEA-Cloud was evaluated through an empirical study that used fault seeding (mutation) and ten MRs for testing different cloud configurations. The results were promising, with TEA-Cloud finding all seeded faults.
引用
收藏
页码:261 / 284
页数:24
相关论文
共 66 条
[21]  
Ciortea Liviu, 2009, Operating Systems Review, V43, P5, DOI 10.1145/1713254.1713257
[22]   A stream processing architecture for heterogeneous data sources in the Internet of Things [J].
Corral-Plaza, David ;
Medina-Bulo, Inmaculada ;
Ortiz, Guadalupe ;
Boubeta-Puig, Juan .
COMPUTER STANDARDS & INTERFACES, 2020, 70
[23]  
Fakhfakh F, 2017, 2017 16TH IEEE/ACIS INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS 2017), P221
[24]  
Garber L., 2011, IEEE T COMPUT, V44, P18
[25]   Model-based quality assurance of protocol documentation: tools and methodology [J].
Grieskamp, Wolfgang ;
Kicillof, Nicolas ;
Stobie, Keith ;
Braberman, Victor .
SOFTWARE TESTING VERIFICATION & RELIABILITY, 2011, 21 (01) :55-71
[26]  
Hierons R.M., 2010, Encyclopedia of Software Engineering, P594
[27]   Bounded Reordering in the Distributed Test Architecture [J].
Hierons, Robert M. ;
Merayo, Mercedes G. ;
Nunez, Manuel .
IEEE TRANSACTIONS ON RELIABILITY, 2018, 67 (02) :522-537
[28]   An extended framework for passive asynchronous testing [J].
Hierons, Robert M. ;
Merayo, Mercedes G. ;
Nunez, Manuel .
JOURNAL OF LOGICAL AND ALGEBRAIC METHODS IN PROGRAMMING, 2017, 86 (01) :408-424
[29]   Implementation relations and test generation for systems with distributed interfaces [J].
Hierons, Robert M. ;
Merayo, Mercedes G. ;
Nunez, Manuel .
DISTRIBUTED COMPUTING, 2012, 25 (01) :35-62
[30]   Using Formal Specifications to Support Testing [J].
Hierons, Robert M. ;
Bogdanov, Kirill ;
Bowen, Jonathan P. ;
Cleaveland, Rance ;
Derrick, John ;
Dick, Jeremy ;
Gheorghe, Marian ;
Harman, Mark ;
Kapoor, Kalpesh ;
Krause, Paul ;
Luettgen, Gerald ;
Simons, Anthony J. H. ;
Vilkomir, Sergiy ;
Woodward, Martin R. ;
Zedan, Hussein .
ACM COMPUTING SURVEYS, 2009, 41 (02)