Workload Migration into Clouds Challenges, Experiences, Opportunities

Ward, Christopher; Aravamudan, N.; Bhattacharya, Kamal; Cheng, Karen Kow Yip; Filepp, Robert; Kearney, Robert D.; Peterson, Brian; Shwartz, Larisa; Young, Chris

doi:10.1109/cloud.2010.84

Cited by 46 publications

(25 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Thomas et al analyzed the cloud for fundamental risks that may arise from sharing physical infrastructure between mutually distrustful users, even when their actions are isolated through machine virtualization [14]. Ward et al discussed the issues and risk associated with migrating workloads to clouds, and the authors also proposed an automated framework for "smooth" migration to cloud [25]. In contrast, we have studied the potential scalability and performance issues after migration.…”

Section: Related Workmentioning

confidence: 99%

Variations in Performance and Scalability When Migrating n-Tier Applications to Different Clouds

Jayasinghe

Malkowski

Wang

et al. 2011

2011 IEEE 4th International Conference on Cloud Computing

View full text Add to dashboard Cite

Abstract-The increasing popularity of computing clouds continues to drive both industry and research to provide answers to a large variety of new and challenging questions. We aim to answer some of these questions by evaluating performance and scalability when an n-tier application is migrated from a traditional datacenter environment to an IaaS cloud. We used a representative n-tier macro-benchmark (RUBBoS) and compared its performance and scalability in three different testbeds: Amazon EC2, Open Cirrus (an open scientific research cloud), and Emulab (academic research testbed). Interestingly, we found that the best-performing configuration in Emulab can become the worst-performing configuration in EC2. Subsequently, we identified the bottleneck components, high context switch overhead and network driver processing overhead, to be at the system level. These overhead problems were confirmed at a finer granularity through micro-benchmark experiments that measure component performance directly. We describe concrete alternative approaches as practical solutions for resolving these problems.

show abstract

Section: Related Workmentioning

confidence: 99%

Variations in Performance and Scalability When Migrating n-Tier Applications to Different Clouds

Jayasinghe

Malkowski

Wang

et al. 2011

2011 IEEE 4th International Conference on Cloud Computing

View full text Add to dashboard Cite

show abstract

“…When unveiling occurred effort, the focus is often on operational cost comparisons (Khajeh-Hosseini, Greenwood, & Sommerville, 2010;Khajeh-Hosseini, Sommerville, Bogaerts, & Teregowda, 2011;Tak, Urgaonkar, & Sivasubramaniam, 2011;Andrikopoulos, Song, & Leymann, 2013), e.g., infrastructure costs, support, and maintenance or migration effort in man hours Maenhaut, Moens, Ongenae, & De Turck, 2015). Solely, Ward et al (2010) mention migration metrics related to the effort to create build automation or the server provisioning time comparable to our deployment metrics.…”

Section: Related Workmentioning

confidence: 99%

Application Migration Effort in the Cloud

2015

STCC

View full text Add to dashboard Cite

Over the last years, the utilization of cloud resources has been steadily rising and an increasing number of enterprises are moving applications to the cloud. A leading trend is the adoption of Platform as a Service to support rapid application deployment. By providing a managed environment, cloud platforms take away a lot of complex configuration effort required to build scalable applications. However, application migrations to and between clouds cost development effort and open up new risks of vendor lock-in. This is problematic because frequent migrations may be necessary in the dynamic and fast changing cloud market. So far, the effort of application migration in PaaS environments and typical issues experienced in this task are hardly understood. To improve this situation, we present a cloud-to-cloud migration of a real-world application to seven representative cloud platforms. In this case study, we analyze the feasibility of the migrations in terms of portability and the effort of the migrations. We present a Dockerbased deployment system that provides the ability of isolated and reproducible measurements of deployments to platform vendors, thus enabling the comparison of platforms for a particular application. Using this system, the study identifies key problems during migrations and quantifies these differences by distinctive metrics.

show abstract

“…There is a need for a framework (with guidelines) and decision support tools for enterprises that are considering moving their IT systems to cloud-based SaaS solutions. Cloud providers on the one hand are attempting to address this demand with white papers offering advice (Varia, 2010;Chappell, 2009), while IT consultancies on the other hand are offering frameworks (Ward et al 2010;Alonso et al 2013;Tan et al 2013;Donnellan et al 2011;Garg et al 2013;Catteddu & hogben, 2009) and assessment tools (Boruff, 2009;Accenture, 2009;Herbert, 2013), to support decision makers. Such tools are either marketing tools or they are not widely available as they are based on closed proprietary technologies that are often accompanied by expensive consultancy contracts (Khajeh-Hosseini et al 2011).…”

Section: Decision Framework and Tools For Supporting Cloud Saas Migrmentioning

confidence: 99%

A Holistic Decision Framework to Avoid Vendor Lock-in for Cloud SaaS Migration

Opara-Martins¹,

Sahandi²,

Tian³

2017

CIS

View full text Add to dashboard Cite

Cloud computing offers an innovative business model to enterprise for IT services consumption and delivery. Software as a Service (SaaS) is one of the cloud offerings that attract organisations as a potential solution in reducing their IT cost. However, the vast diversity among the available cloud SaaS services makes it difficult for customers to decide whose vendor services to use or even to determine a valid basis for their selections. Moreover, this variety of cloud SaaS services has led to proprietary architectures and technologies being used by cloud vendors, increasing the risk of vendor lock-in for customers. Therefore, when enterprises interact with SaaS providers within the purview of the current cloud marketplace, they often encounter significant lock-in challenges to migrating and interconnecting cloud. Hence, the complexity and variety of cloud SaaS service offerings makes it imperative for businesses to use a clear and well understood decision process to procure, migrate and/or discontinue cloud services. To date, the expertise and technological solutions to simplify such transition and facilitate good decision making to avoid lock-in risks in the cloud are limited. Besides, little investigation has been carried out to provide a comprehensive decision framework to support enterprises on how to avoid lock-in risks when selecting and implementing cloud-based SaaS solutions within existing environments. Such decision framework is important to reduce complexity and variations in implementation patterns on the cloud provider side, while at the same time minimising potential switching cost for enterprises by resolving integration issues with existing IT infrastructures. This paper proposes a holistic 6-step decision framework that enables an enterprise to assess its current IT landscape for potential SaaS replacement, and provides effective strategies to mitigate vendor lock-in risks in cloud (SaaS) migration. The framework follows research findings and addresses the core requirements for choosing vendor-neutral interoperable and portable cloud services without the fear of vendor lock-in, and architectural decisions for secure SaaS migration. Therefore, the results of this research can help IT managers have a safe and effective migration to cloud computing SaaS environment.

show abstract

Workload Migration into Clouds Challenges, Experiences, Opportunities

Cited by 46 publications

References 5 publications

Variations in Performance and Scalability When Migrating n-Tier Applications to Different Clouds

Variations in Performance and Scalability When Migrating n-Tier Applications to Different Clouds

Application Migration Effort in the Cloud

A Holistic Decision Framework to Avoid Vendor Lock-in for Cloud SaaS Migration

Contact Info

Product

Resources

About