Elastic Java Heap for Scaling and Clustering Enterprise Applications

Insight categories: ArchitectureAutomotiveCommunicationsConsumer and RetailFinancial ServicesHealthcareManufacturing and IndustrialMedia

Elastic memory attempts to address two fundamental limitations imposed by Java memory management: limited heap sizes and garbage collection (GC) overhead. These drawbacks prevent Java applications from leveraging random access memory in order to store huge amounts of data objects for high throughput. This paper will (a) expand upon the research currently being conducted in the field of off-heap management of Java objects and (b) propose an approach to augmenting the cost-effective scaling-up/out of enterprise applications.

Author

Kharkiv java 6 opt.jpg

Author

Sourabh Goel

View all Articles

Trending Insights

If You Build Products, You Should Be Using Digital Twins

If You Build Products, You Should Be Using...

Digital TransformationTesting and QAManufacturing and Industrial
Empowering Teams with Agile Product-Oriented Delivery, Step By Step

Empowering Teams with Agile Product-Oriented Delivery, Step By...

AgileProject ManagementAutomotiveCommunicationsConsumer and RetailMedia

Top Authors

Amit Handoo

Amit Handoo

Vice President, Client Engagement

Ravikrishna Yallapragada

Ravikrishna Yallapragada

AVP, Engineering

Lavanya Mandavilli

Lavanya Mandavilli

Principal Technical Writer

Oleksandr Fedirko

Oleksandr Fedirko

Senior Solution Architect

Mark Norkin

Mark Norkin

Consultant, Engineering

All Categories

  • URL copied!