J-Orchestra

Tilevich, Eli; Smaragdakis, Yannis

doi:10.1145/1555392.1555394

Cited by 44 publications

(5 citation statements)

References 32 publications

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Section: B Distribution Of Monolithic Applicationmentioning

confidence: 99%

“…Multiple approaches exist for distribution of applications [20], [34], [36], [41], [43]; however, unlike our refactoring of monolith to microservices, they are not completely automated. J-Orchestra [36], [41] is one of the early work on distributing stand-alone Java applications. They provide interface for the user to specify programs and system resources and generate RMI stubs/skeletons to create a client-server model.…”

Section: B Distribution Of Monolithic Applicationmentioning

confidence: 99%

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Handling Memory Pointers in Communication between Microservices

Kanvar

Tamilselvam

Komondoor

2022

2022 IEEE International Conference on Web Services (ICWS)

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Enterprises in their journey to the cloud, want to decompose their monolith applications into microservices to maximize cloud benefits. Current research focuses a lot on how to partition the monolith into smaller clusters that perform well across standard metrics like coupling, cohesion, etc. However, there is little research done on taking the partitions, identifying their dependencies between the microservices, exploring ways to further reduce the dependencies, and making appropriate code changes to enable robust communication without modifying the application behaviour.In this work, we discuss the challenges with the conventional techniques of communication using JSON and propose an alternative way of ID-passing via APIs. We also devise an algorithm to reduce the number of APIs. For this, we construct subgraphs of methods and their associated variables in each class and relocate them to their more functionally aligned microservices. Our quantitative and qualitative studies on five public Java applications clearly demonstrate that our refactored microservices using ID have decidedly better time and memory complexities than JSON. Our automation reduces 40-60% of the manual refactoring efforts. 1

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Section: B Distribution Of Monolithic Applicationmentioning

confidence: 99%

Section: B Distribution Of Monolithic Applicationmentioning

confidence: 99%

Handling Memory Pointers in Communication between Microservices

Kanvar

Tamilselvam

Komondoor

2022

2022 IEEE International Conference on Web Services (ICWS)

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“…For example, BDP would incur a larger overhead when inferring a monolithic application, where parser data structures might be populated throughout the application (requiring broader instrumentation). However, existing work on program partitioning [21,22,56,77] could be adapted to induce some degree of modularity and reduce the cost of inference. Other practices, such as the use of global variables, may also influence the inference strategy.…”

Section: Challenges and Threats To Validitymentioning

confidence: 99%

Active learning for software engineering

Cambronero

Dang

Vasilakis

et al. 2019

Proceedings of the 2019 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Sof

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Software applications have grown increasingly complex to deliver the features desired by users. Software modularity has been used as a way to mitigate the costs of developing such complex software. Active learning-based program inference provides an elegant framework that exploits this modularity to tackle development correctness, performance and cost in large applications. Inferred programs can be used for many purposes, including generation of secure code, code re-use through automatic encapsulation, adaptation to new platforms or languages, and optimization. We show through detailed examples how our approach can infer three modules in a representative application. Finally, we outline the broader paradigm and open research questions. CCS Concepts • Software and its engineering → Software development techniques.

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“…Several different security technologies implement the described architecture [39]. The Generic Security Services Application Programming Interface (GSSAPI) is an abstraction of the security negotiation that happens when a client -initiator -authenticates to a server and exchange messages securely.…”

Section: Security Architecturementioning

confidence: 99%

Towards Mobile Cloud Computing with Single Sign-on Access

2017

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The low computing power of mobile devices impedes the development of mobile applications with a heavy computing load. Mobile Cloud Computing (MCC) has emerged as the solution to this by connecting mobile devices with the "infinite" computing power of the Cloud. As mobile devices typically communicate over untrusted networks, it becomes necessary to secure the communications to avoid privacy-sensitive data breaches. This paper presents work on implementing MCC applications with secure communications. For that purpose, we built on COMPSs-Mobile, a redesigned implementation of the COMP Superscalar (COMPSs) framework aiming to MCC platforms. COMPSs-Mobile automatically exploits the parallelism inherent in an application and orchestrates its execution on loosely-coupled distributed environment. To avoid a vendor lock-in, this extension leverages on the Generic Security Services Application Program Interface (GSSAPI) (RFC2743) as a generic way to access security services to provide communications with authentication, secrecy and integrity. Besides, GSSAPI allows applications to take profit of more advanced features, such as Federated Identity or Single Sign-On, which the underlying security framework could provide. To validate the practicality of the proposal, we use Kerberos as the security services provider to implement SSO; however, applications do not authenticate themselves and require users to obtain and place the credentials beforehand. To evaluate the performance, we conducted some tests running an application on a smartphone offloading tasks to a private cloud. Our results show that the overhead of securing the communications is acceptable.

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J-Orchestra

Cited by 44 publications

References 32 publications

Handling Memory Pointers in Communication between Microservices

Handling Memory Pointers in Communication between Microservices

Active learning for software engineering

Towards Mobile Cloud Computing with Single Sign-on Access

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