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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jinquan Dai |
| Copyright Year | 2009 |
| Abstract | There are dramatic differences between delivering software as services in the cloud for millions to use, versus distributing software as bits for millions to run on their PCs.First, "the data center is the computer". Services are developed to run on distributed data centers for high scalability, high availability and low latency. The data centers have a scale-out shared-nothing architecture (made up of thousands of independent, unreliable servers) and are distributed in geography. In addition, there is also a move to many small, cheap, independent and flaky data centers for cost and energy effectiveness. Therefore, the service needs to be programmed to have its data set to be partitioned and spread around independent servers, and to be replicated across independent servers and data centers.Second, "the application is always offline". Despite increasingly ubiquitous wireless connectivity, clients will be occasionally disconnected. In addition, due to increasingly ubiquitous service compositions and data integrations (e.g., SOA, mashup and widget), remote services or data will be occasionally unavailable to the applications (either in the cloud or on the clients). Consequently, the application needs to be programmed to work with an assumption that it is always offline, by making progress based on its local states as much as possible, and by interacting with remote partners asynchronously to reconcile their states.Therefore, Internet-scale services need new design patterns and programming models for the partitioned data set with many copies that are changed independently. This is a huge software challenge. Big websites spend 70% of their efforts on undifferentiated heavy lifting (e.g., partitioning, replication and scaling) versus 30% on differentiated value (feature) creation. This talk will review the challenges for Internet-scale services and some of the emerging solutions to address those challenges, based on our experience in building Internet-scale service platforms as well as the industry best practices. |
| Starting Page | 1759 |
| Ending Page | 1759 |
| File Size | 215568 |
| Page Count | 1 |
| File Format | |
| ISBN | 9781424434220 |
| ISSN | 10844627 |
| DOI | 10.1109/ICDE.2009.152 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Web and internet services Service oriented architecture Availability Data models Distributed computing Uncertainty Clouds Scalability Computer architecture Application software Computing M Service Cloud Computing Design Patterns Data Model |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Information Systems Software |
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