Ismail Ari

Ismail Ari is an Assistant Professor at Ozyegin University in Turkey and a co-founder of Havooz. He previously served as a senior research scientist at Hewlett Packard Laboratories in Palo Alto for five years. His academic background includes a Ph.D. from the University of California, Santa Cruz, and an M.S. in Computer Science from the University of Maryland, Baltimore County.

• Ph.D., University of California, Santa Cruz (2004)
• M.S., University of Maryland, Baltimore County (Computer Science)

His research focuses on big data and cloud computing, with a strong emphasis on performance improvement and automation in networked storage systems. Additional interests include web services, service-oriented architectures, data mining, and event stream processing. Much of his published work explores adaptive caching techniques for storage and network systems.

The recent publications highlight a consistent focus on adaptive caching, performance optimization, and workload management in storage and distributed systems. Key themes include automated caching in SANs, flash crowd management, and intelligent refetching strategies using multiple expert models. These works span disciplines in computer science, networking, and distributed systems.

While no scientific awards are listed in the provided text, Ismail Ari has contributed significantly to the fields of storage systems and network performance through his research and industry experience.

He has advised or collaborated with researchers including Prof. Ethan L. Miller, Scott A. Brandt, Darrell D. E. Long, and others during his doctoral and post-doctoral career. There is no mention of funded grants in the provided information. His work at HP Labs and academic contributions suggest potential involvement in large-scale system research projects.

Ismail Ari’s work on adaptive caching systems, particularly the ACME and SANBoost projects, indicates deep engagement in building intelligent, self-optimizing storage infrastructures. These efforts were likely developed within research labs or collaborative teams at UC Santa Cruz and HP Labs, though specific lab names are not provided.