Whitepaper on Reusable Hybrid and Multi-Cloud Analytics Service Framework
Over the last several years, the computation landscape for conducting data analytics has completely changed. While in the past, a lot of the activities have been undertaken in isolation by companies, and research institutions, today's infrastructure constitutes a wealth of services offered by a...
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| creator | von Laszewski, Gregor Chang, Wo Reinsch, Russell Kotevska, Olivera Karimi, Ali Sattar, Abdul Rahman Mazzaferro, Garry Fox, Geoffrey C |
| description | Over the last several years, the computation landscape for conducting data
analytics has completely changed. While in the past, a lot of the activities
have been undertaken in isolation by companies, and research institutions,
today's infrastructure constitutes a wealth of services offered by a variety of
providers that offer opportunities for reuse, and interactions while leveraging
service collaboration, and service cooperation.
This document focuses on expanding analytics services to develop a framework
for reusable hybrid multi-service data analytics. It includes (a) a short
technology review that explicitly targets the intersection of hybrid
multi-provider analytics services, (b) a small motivation based on use cases we
looked at, (c) enhancing the concepts of services to showcase how hybrid, as
well as multi-provider services can be integrated and reused via the proposed
framework, (d) address analytics service composition, and (e) integrate
container technologies to achieve state-of-the-art analytics service deployment |
| doi_str_mv | 10.48550/arxiv.2310.17013 |
| format | Article |
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analytics has completely changed. While in the past, a lot of the activities
have been undertaken in isolation by companies, and research institutions,
today's infrastructure constitutes a wealth of services offered by a variety of
providers that offer opportunities for reuse, and interactions while leveraging
service collaboration, and service cooperation.
This document focuses on expanding analytics services to develop a framework
for reusable hybrid multi-service data analytics. It includes (a) a short
technology review that explicitly targets the intersection of hybrid
multi-provider analytics services, (b) a small motivation based on use cases we
looked at, (c) enhancing the concepts of services to showcase how hybrid, as
well as multi-provider services can be integrated and reused via the proposed
framework, (d) address analytics service composition, and (e) integrate
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analytics has completely changed. While in the past, a lot of the activities
have been undertaken in isolation by companies, and research institutions,
today's infrastructure constitutes a wealth of services offered by a variety of
providers that offer opportunities for reuse, and interactions while leveraging
service collaboration, and service cooperation.
This document focuses on expanding analytics services to develop a framework
for reusable hybrid multi-service data analytics. It includes (a) a short
technology review that explicitly targets the intersection of hybrid
multi-provider analytics services, (b) a small motivation based on use cases we
looked at, (c) enhancing the concepts of services to showcase how hybrid, as
well as multi-provider services can be integrated and reused via the proposed
framework, (d) address analytics service composition, and (e) integrate
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analytics has completely changed. While in the past, a lot of the activities
have been undertaken in isolation by companies, and research institutions,
today's infrastructure constitutes a wealth of services offered by a variety of
providers that offer opportunities for reuse, and interactions while leveraging
service collaboration, and service cooperation.
This document focuses on expanding analytics services to develop a framework
for reusable hybrid multi-service data analytics. It includes (a) a short
technology review that explicitly targets the intersection of hybrid
multi-provider analytics services, (b) a small motivation based on use cases we
looked at, (c) enhancing the concepts of services to showcase how hybrid, as
well as multi-provider services can be integrated and reused via the proposed
framework, (d) address analytics service composition, and (e) integrate
container technologies to achieve state-of-the-art analytics service deployment</abstract><doi>10.48550/arxiv.2310.17013</doi><oa>free_for_read</oa></addata></record> |
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| identifier | DOI: 10.48550/arxiv.2310.17013 |
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| subjects | Computer Science - Distributed, Parallel, and Cluster Computing |
| title | Whitepaper on Reusable Hybrid and Multi-Cloud Analytics Service Framework |
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